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Keywords = ionizing- and ultra-violet radiation

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14 pages, 13854 KiB  
Article
Comparison of Radio- and Phototoxicity in Association with an Enhancing Effect of the Photosensitizers Psoralen, Trioxsalen and Ortho-Iodo-Hoechst33258 on FaDu, PC-3, 4T1 and B16-F10 Cells
by Katja Tietze, Florian Brandt, Kerstin Wetzig, Lisa Hübinger, Marc Pretze, Ralph Alexander Bundschuh and Jörg Kotzerke
Biomedicines 2025, 13(1), 73; https://doi.org/10.3390/biomedicines13010073 - 31 Dec 2024
Viewed by 424
Abstract
Background: Energy delivered at different wavelengths causes different types of damage to DNA. Methods: PC-3, FaDu, 4T1 and B16-F10 cells were irradiated with different wavelengths of ultraviolet light (UVA/UVC) and ionizing radiation (X-ray). Furthermore, different photosensitizers (ortho-iodo-Hoechst33258/psoralen/trioxsalen) were tested for their amplifying effect. [...] Read more.
Background: Energy delivered at different wavelengths causes different types of damage to DNA. Methods: PC-3, FaDu, 4T1 and B16-F10 cells were irradiated with different wavelengths of ultraviolet light (UVA/UVC) and ionizing radiation (X-ray). Furthermore, different photosensitizers (ortho-iodo-Hoechst33258/psoralen/trioxsalen) were tested for their amplifying effect. Survival fraction and damage analysis using the γH2A.X assay (double-strand breaks) and the ELISA assay (cyclobutane pyrimidine dimers) were compared. Results: The PC-3 cells were found to be the most sensitive cells to the treatment strategies used. FaDu and PC-3 showed a strong sensitivity to UVA. Analysis of the damage showed that the cell lines exhibited different sensitivities. Conclusions: Thus, an enhancing effect of photosensitizers (PS) in combination with UVA could be demonstrated in some cases. However, this is cell- and dose-dependent. Full article
(This article belongs to the Section Molecular and Translational Medicine)
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Figure 1

Figure 1
<p>Nuclear staining of 4T1 with oIH, pso and tri. Subsequently, images were captured with the AxioObserver Z.1 fluorescence microscope (Carl Zeiss AG, Oberkochen, Germany; filter set 49; <math display="inline"><semantics> <mi mathvariant="normal">λ</mi> </semantics></math><sub>Ex</sub> = 365 nm, <math display="inline"><semantics> <mi mathvariant="normal">λ</mi> </semantics></math><sub>Em</sub> = 445 nm). Scale: 50 <math display="inline"><semantics> <mi mathvariant="normal">μ</mi> </semantics></math>m. Resolution: 1388 × 1040 pixel, 300 dpi. (<b>a</b>,<b>d</b>,<b>g</b>) DIC with oIH, pso and tri; (<b>b</b>,<b>e</b>,<b>h</b>) fluorescence; (<b>c</b>,<b>f</b>,<b>i</b>) merge images.</p>
Full article ">Figure 2
<p>Colony formation assay after treatment with X-rays (<b>a</b>), UVC (<b>b</b>), UVA (<b>c</b>) and with PS + UVA on FaDu (<b>d</b>), on PC-3 (<b>e</b>), on 4T1 (<b>f</b>), on B16-F10 (<b>g</b>).</p>
Full article ">Figure 3
<p>Colony formation assay and damage analysis as a comparison of PC-3 after treatment with X-rays (<b>a</b>), UVC (<b>b</b>), UVA (<b>c</b>), oIH and UVA (<b>d</b>), pso and UVA (<b>e</b>) and tri and UVA (<b>f</b>).</p>
Full article ">Figure A1
<p>Colony formation assay and damage analysis as a comparison of FaDu after treatment with X-rays (<b>a</b>), UVC (<b>b</b>), UVA (<b>c</b>), oIH and UVA (<b>d</b>), pso and UVA (<b>e</b>) and tri and UVA (<b>f</b>).</p>
Full article ">Figure A2
<p>Colony formation assay and damage analysis as a comparison of 4T1 after treatment with X-rays (<b>a</b>), UVC (<b>b</b>), UVA (<b>c</b>), oIH and UVA (<b>d</b>), pso and UVA (<b>e</b>) and tri and UVA (<b>f</b>).</p>
Full article ">Figure A3
<p>Colony formation assay and damage analysis as a comparison of B16-F10 after treatment with X-rays (<b>a</b>), UVC (<b>b</b>), UVA (<b>c</b>), oIH and UVA (<b>d</b>), pso and UVA (<b>e</b>) and tri and UVA (<b>f</b>).</p>
Full article ">Figure A3 Cont.
<p>Colony formation assay and damage analysis as a comparison of B16-F10 after treatment with X-rays (<b>a</b>), UVC (<b>b</b>), UVA (<b>c</b>), oIH and UVA (<b>d</b>), pso and UVA (<b>e</b>) and tri and UVA (<b>f</b>).</p>
Full article ">
22 pages, 3167 KiB  
Article
The Composite Spectral Energy Distribution of Quasars Is Surprisingly Universal Since Cosmic Noon
by Zhenyi Cai
Universe 2024, 10(11), 431; https://doi.org/10.3390/universe10110431 - 19 Nov 2024
Cited by 1 | Viewed by 795
Abstract
Leveraging the photometric data of the Sloan Digital Sky Survey and the Galaxy Evolution Explorer (GALEX), we construct mean/median spectral energy distributions (SEDs) for unique bright quasars in redshift bins of 0.2 and up to z3, after taking the GALEX [...] Read more.
Leveraging the photometric data of the Sloan Digital Sky Survey and the Galaxy Evolution Explorer (GALEX), we construct mean/median spectral energy distributions (SEDs) for unique bright quasars in redshift bins of 0.2 and up to z3, after taking the GALEX non-detection into account. Further correcting for the absorption of the intergalactic medium, these mean/median quasar SEDs constitute a surprisingly redshift-independent mean/median composite SED from the rest-frame optical down to ≃500 A˚ for quasars with bolometric luminosity brighter than 1045.5ergs1. Moreover, the mean/median composite quasar SED is plausibly also independent of black hole mass and Eddington ratio, and suggests similar properties of dust and gas in the quasar host galaxies since cosmic noon. Both the mean and median composite SEDs are nicely consistent with previous mean composite quasar spectra at wavelengths beyond ≃1000 A˚, but at shorter wavelengths, are redder, indicating, on average, less ionizing radiation than previously expected. Through comparing the model-predicted to the observed composite quasar SEDs, we favor a simply truncated disk model, rather than a standard thin disk model, for the quasar central engine, though we request more sophisticated disk models. Future deep ultraviolet facilities, such as the China Space Station Telescope and the Ultraviolet Explorer, would prompt revolutions in many aspects, including the quasar central engine, production of the broad emission lines in quasars, and cosmic reionization. Full article
Show Figures

Figure 1

Figure 1
<p>The (<b>main</b>) panel presents distributions of our parent quasars (101,745; contours surrounded by sparse dots) and unique bright quasars (23,256; brighter than the green solid stepwise curve) in the luminosity-redshift space, while the (<b>top</b>) panel shows their redshift distributions, i.e., the black dotted histogram and the green solid histogram, respectively. The red dashed stepwise curve in the (<b>main</b>) panel indicates the peak of the luminosity distribution of quasars as a function of redshift, e.g., the peak of the dotted histogram for quasars in <math display="inline"><semantics> <mrow> <mn>1.8</mn> <mo>&lt;</mo> <mi>z</mi> <mo>≤</mo> <mn>2.0</mn> </mrow> </semantics></math> in the (<b>right</b>) panel. The red dashed histogram in the (<b>top</b>) panel is the redshift distribution of quasars brighter than the red dashed stepwise curve. For comparison, the (<b>main</b>) panel includes the medians and 25–75th percentile ranges of redshift and UV luminosity of four representative quasar samples (i.e., a circle for Scott et al. [<a href="#B32-universe-10-00431" class="html-bibr">32</a>], a triangle for Stevans et al. [<a href="#B35-universe-10-00431" class="html-bibr">35</a>], a diamond for Telfer et al. [<a href="#B31-universe-10-00431" class="html-bibr">31</a>], and a square for Lusso et al. [<a href="#B36-universe-10-00431" class="html-bibr">36</a>]), while the (<b>top</b>) panel contains the corresponding quasar numbers.</p>
Full article ">Figure 2
<p>The (<b>main</b>) panel is the same as that of <a href="#universe-10-00431-f001" class="html-fig">Figure 1</a>. The orange crosses linked by dotted lines (the blue stars linked by solid lines) in the (<b>top</b>) panel are the GALEX NUV (FUV) detection fractions, <math display="inline"><semantics> <msub> <mi>f</mi> <mi>NUV</mi> </msub> </semantics></math> (<math display="inline"><semantics> <msub> <mi>f</mi> <mi>FUV</mi> </msub> </semantics></math>), for our unique bright quasars, while the orange dotted (blue solid) histogram in the (<b>right</b>) panel is the GALEX NUV (FUV) detection fraction as a function of luminosity for quasars brighter than a given minimal <math display="inline"><semantics> <mrow> <mn>2200</mn> <mo> </mo> <mover accent="true"> <mi mathvariant="normal">A</mi> <mo>˚</mo> </mover> </mrow> </semantics></math> luminosity and in <math display="inline"><semantics> <mrow> <mn>1.8</mn> <mo>&lt;</mo> <mi>z</mi> <mo>≤</mo> <mn>2.0</mn> </mrow> </semantics></math> as an example.</p>
Full article ">Figure 3
<p>Changed factors of <math display="inline"><semantics> <msub> <mi>N</mi> <mi mathvariant="normal">q</mi> </msub> </semantics></math>, <math display="inline"><semantics> <msub> <mi>f</mi> <mi>NUV</mi> </msub> </semantics></math>, and <math display="inline"><semantics> <msub> <mi>f</mi> <mi>FUV</mi> </msub> </semantics></math> as a function of redshift for quasar samples selected with larger (circles linked by dotted lines) or smaller (triangles linked by dashed lines) <math display="inline"><semantics> <mrow> <mo form="prefix">log</mo> <msubsup> <mi>L</mi> <mrow> <mn>2200</mn> </mrow> <mi>min</mi> </msubsup> </mrow> </semantics></math>, i.e., by <math display="inline"><semantics> <mrow> <mo>±</mo> <mn>0.2</mn> </mrow> </semantics></math> dex in all redshift bins, than our reference values of <math display="inline"><semantics> <mrow> <mo form="prefix">log</mo> <msubsup> <mi>L</mi> <mn>2200</mn> <mi>min</mi> </msubsup> <mrow> <mo>(</mo> <mi>z</mi> <mo>)</mo> </mrow> </mrow> </semantics></math>. Please note that the smaller <math display="inline"><semantics> <mrow> <mo form="prefix">log</mo> <msubsup> <mi>L</mi> <mrow> <mn>2200</mn> </mrow> <mi>min</mi> </msubsup> </mrow> </semantics></math>, the larger the sample size but the lower the GALEX detection.</p>
Full article ">Figure 4
<p>The (<b>top</b>) panel: the bias-free mean SED for <math display="inline"><semantics> <msub> <mi>N</mi> <mi mathvariant="normal">q</mi> </msub> </semantics></math> quasars brighter than <math display="inline"><semantics> <mrow> <mo form="prefix">log</mo> <msubsup> <mi>L</mi> <mn>2200</mn> <mi>min</mi> </msubsup> </mrow> </semantics></math> in each redshift bin. Each legend contains the GALEX NUV- and FUV-detected fractions, i.e., <math display="inline"><semantics> <msubsup> <mi>f</mi> <mi>NUV</mi> <mi>w</mi> </msubsup> </semantics></math> and <math display="inline"><semantics> <msubsup> <mi>f</mi> <mi>FUV</mi> <mi>w</mi> </msubsup> </semantics></math>, where the superscript, <span class="html-italic">w</span>, is the de-redshifted wavelength corresponding to the effective wavelength of the GALEX NUV/FUV band. We also show the mean quasar SED constructed by ([<a href="#B42-universe-10-00431" class="html-bibr">42</a>], CW23) as well as the mean composite quasar spectra from ([<a href="#B29-universe-10-00431" class="html-bibr">29</a>], without correction for the IGM absorption; red dotted curve) and ([<a href="#B31-universe-10-00431" class="html-bibr">31</a>], with correction for the IGM absorption; blue solid curve) for comparison. The (<b>bottom</b>) panel: same as the (<b>top</b>) one, but for the bias-free median quasar SEDs.</p>
Full article ">Figure 5
<p>The IGM transmission curves as a function of the rest-frame wavelength for <math display="inline"><semantics> <mrow> <mi>z</mi> <mo>=</mo> <mn>0.5</mn> </mrow> </semantics></math> (<b>top-left</b> panel), <math display="inline"><semantics> <mrow> <mi>z</mi> <mo>=</mo> <mn>1.1</mn> </mrow> </semantics></math> (<b>top-right</b> panel), <math display="inline"><semantics> <mrow> <mi>z</mi> <mo>=</mo> <mn>2.1</mn> </mrow> </semantics></math> (<b>bottom-left</b> panel), and <math display="inline"><semantics> <mrow> <mi>z</mi> <mo>=</mo> <mn>2.9</mn> </mrow> </semantics></math> (<b>bottom-right</b> panel). Averaging transmissions in 1000 LOS (equivalent to 1000 quasars) randomly selected from <math display="inline"><semantics> <msup> <mn>10</mn> <mn>5</mn> </msup> </semantics></math> simulated LOS gives rise to the mean transmission and three upper transmission quantiles (i.e., 25%, median, and 75%), <math display="inline"><semantics> <msubsup> <mrow> <mo>〈</mo> <msub> <mi>T</mi> <mi>LOS</mi> </msub> <mo>〉</mo> </mrow> <mrow> <mn>1000</mn> </mrow> <mi>type</mi> </msubsup> </semantics></math>. For each “type” of transmission, the solid and dashed curves are the mean and <math display="inline"><semantics> <mrow> <mn>1</mn> <mi>σ</mi> </mrow> </semantics></math> dispersion of 1000 different realizations of <math display="inline"><semantics> <msubsup> <mrow> <mo>〈</mo> <msub> <mi>T</mi> <mi>LOS</mi> </msub> <mo>〉</mo> </mrow> <mrow> <mn>1000</mn> </mrow> <mi>type</mi> </msubsup> </semantics></math> (cf. the gray and light-gray curves for 1000 realizations of <math display="inline"><semantics> <msubsup> <mrow> <mo>〈</mo> <msub> <mi>T</mi> <mi>LOS</mi> </msub> <mo>〉</mo> </mrow> <mrow> <mn>1000</mn> </mrow> <mi>median</mi> </msubsup> </semantics></math> and <math display="inline"><semantics> <msubsup> <mrow> <mo>〈</mo> <msub> <mi>T</mi> <mi>LOS</mi> </msub> <mo>〉</mo> </mrow> <mrow> <mn>1000</mn> </mrow> <mi>mean</mi> </msubsup> </semantics></math>, respectively). At the bottom of each panel, there are de-redshifted FUV-, NUV-, <span class="html-italic">u</span>-, and <span class="html-italic">g</span>-band transmission curves from left to right, respectively. In each panel and each band, the square and star, superimposed by <math display="inline"><semantics> <mrow> <mn>1</mn> <mi>σ</mi> </mrow> </semantics></math> uncertainties, indicate the filter-weighted broadband mean and median IGM transmissions, respectively.</p>
Full article ">Figure 6
<p>By averaging 1000 LOS, squares and stars show the filter-weighted broadband mean and median IGM transmission as a function of redshift for four bands, i.e., <math display="inline"><semantics> <msub> <mi>T</mi> <mi>FUV</mi> </msub> </semantics></math> (<b>top-left</b>), <math display="inline"><semantics> <msub> <mi>T</mi> <mi>NUV</mi> </msub> </semantics></math> (<b>top-right</b>), <math display="inline"><semantics> <msub> <mi>T</mi> <mi>u</mi> </msub> </semantics></math> (<b>bottom-left</b>), and <math display="inline"><semantics> <msub> <mi>T</mi> <mi>g</mi> </msub> </semantics></math> (<b>bottom-right</b>). The superimposed <math display="inline"><semantics> <mrow> <mn>1</mn> <mi>σ</mi> </mrow> </semantics></math> uncertainties are associated with 1000 LOS. Please note that averaging more (less) LOS gives smaller (larger) <math display="inline"><semantics> <mrow> <mn>1</mn> <mi>σ</mi> </mrow> </semantics></math> uncertainties.</p>
Full article ">Figure 7
<p>Same as <a href="#universe-10-00431-f004" class="html-fig">Figure 4</a>, but for the intrinsic mean (<b>top</b> panel) and median (<b>bottom</b> panel) SEDs, whose EUV portion has been corrected for the IGM absorption. For each redshift bin with a central redshift <span class="html-italic">z</span>, the legend includes the median <math display="inline"><semantics> <mrow> <mn>2200</mn> <mo> </mo> <mover accent="true"> <mi mathvariant="normal">A</mi> <mo>˚</mo> </mover> </mrow> </semantics></math> luminosity of quasars, <math display="inline"><semantics> <mrow> <mo form="prefix">log</mo> <msubsup> <mi>L</mi> <mn>2200</mn> <mi>med</mi> </msubsup> </mrow> </semantics></math>, and the filter-weighted broadband IGM transmissions, <math display="inline"><semantics> <msubsup> <mi>T</mi> <mi>b</mi> <mi>w</mi> </msubsup> </semantics></math>, where <span class="html-italic">b</span> indicates the band name. After correcting for the IGM absorption, the intrinsic mean/median SEDs of quasars at different redshifts become strikingly consistent in the EUV and together form a mean/median composite SED. A smoothly broken power law with optical-to-FUV (<math display="inline"><semantics> <msub> <mi>α</mi> <mrow> <mi>OPT</mi> <mo>−</mo> <mi>FUV</mi> </mrow> </msub> </semantics></math>) and EUV (<math display="inline"><semantics> <msub> <mi>α</mi> <mi>EUV</mi> </msub> </semantics></math>) spectral indices for <math display="inline"><semantics> <mrow> <msub> <mi>L</mi> <mi>ν</mi> </msub> <mo>∝</mo> <msup> <mi>ν</mi> <mi>α</mi> </msup> </mrow> </semantics></math> is fit to the mean/median composite SED in several line-free windows (thick gray bars).</p>
Full article ">Figure 7 Cont.
<p>Same as <a href="#universe-10-00431-f004" class="html-fig">Figure 4</a>, but for the intrinsic mean (<b>top</b> panel) and median (<b>bottom</b> panel) SEDs, whose EUV portion has been corrected for the IGM absorption. For each redshift bin with a central redshift <span class="html-italic">z</span>, the legend includes the median <math display="inline"><semantics> <mrow> <mn>2200</mn> <mo> </mo> <mover accent="true"> <mi mathvariant="normal">A</mi> <mo>˚</mo> </mover> </mrow> </semantics></math> luminosity of quasars, <math display="inline"><semantics> <mrow> <mo form="prefix">log</mo> <msubsup> <mi>L</mi> <mn>2200</mn> <mi>med</mi> </msubsup> </mrow> </semantics></math>, and the filter-weighted broadband IGM transmissions, <math display="inline"><semantics> <msubsup> <mi>T</mi> <mi>b</mi> <mi>w</mi> </msubsup> </semantics></math>, where <span class="html-italic">b</span> indicates the band name. After correcting for the IGM absorption, the intrinsic mean/median SEDs of quasars at different redshifts become strikingly consistent in the EUV and together form a mean/median composite SED. A smoothly broken power law with optical-to-FUV (<math display="inline"><semantics> <msub> <mi>α</mi> <mrow> <mi>OPT</mi> <mo>−</mo> <mi>FUV</mi> </mrow> </msub> </semantics></math>) and EUV (<math display="inline"><semantics> <msub> <mi>α</mi> <mi>EUV</mi> </msub> </semantics></math>) spectral indices for <math display="inline"><semantics> <mrow> <msub> <mi>L</mi> <mi>ν</mi> </msub> <mo>∝</mo> <msup> <mi>ν</mi> <mi>α</mi> </msup> </mrow> </semantics></math> is fit to the mean/median composite SED in several line-free windows (thick gray bars).</p>
Full article ">Figure 8
<p>Physical properties, i.e., bolometric luminosity (<math display="inline"><semantics> <msub> <mi>L</mi> <mi>bol</mi> </msub> </semantics></math>; <b>top-left</b> panel), BH mass (<math display="inline"><semantics> <msub> <mi>M</mi> <mi>BH</mi> </msub> </semantics></math>; <b>top-right</b> panel), Eddington ratio (<math display="inline"><semantics> <msub> <mi>λ</mi> <mi>Edd</mi> </msub> </semantics></math>; <b>bottom-left</b> panel), and <math display="inline"><semantics> <mrow> <msub> <mi>λ</mi> <mi>Edd</mi> </msub> <mo>/</mo> <msub> <mi>M</mi> <mi>BH</mi> </msub> </mrow> </semantics></math> (<b>bottom-right</b> panel; note <math display="inline"><semantics> <mrow> <msub> <mi>λ</mi> <mrow> <mn>0.1</mn> </mrow> </msub> <mo>=</mo> <msub> <mi>λ</mi> <mi>Edd</mi> </msub> <mo>/</mo> <mn>0.1</mn> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mi>M</mi> <mn>9</mn> </msub> <mo>=</mo> <msub> <mi>M</mi> <mi>BH</mi> </msub> <mo>/</mo> <msup> <mn>10</mn> <mn>9</mn> </msup> <msub> <mi>M</mi> <mo>⊙</mo> </msub> </mrow> </semantics></math>), as a function of redshift for our parent quasar sample (black open circles; <a href="#sec2dot1-universe-10-00431" class="html-sec">Section 2.1</a>) and our unique bright quasar sample (blue filled stars; <a href="#sec2dot2-universe-10-00431" class="html-sec">Section 2.2</a>). At each redshift, symbols are median values, while vertical bars are the 25–75th percentile ranges. Nearly all quasars have measurements on <math display="inline"><semantics> <msub> <mi>L</mi> <mi>bol</mi> </msub> </semantics></math>, <math display="inline"><semantics> <msub> <mi>M</mi> <mi>BH</mi> </msub> </semantics></math>, and <math display="inline"><semantics> <msub> <mi>λ</mi> <mi>Edd</mi> </msub> </semantics></math>, provided by Rakshit et al. [<a href="#B47-universe-10-00431" class="html-bibr">47</a>], but the large uncertainties on, and even systematic offsets of, these measurements must be taken seriously (see discussion in Sun [<a href="#B48-universe-10-00431" class="html-bibr">48</a>] for example).</p>
Full article ">Figure 9
<p>Panels in each row are the same as <a href="#universe-10-00431-f007" class="html-fig">Figure 7</a>, but for the intrinsic quasar SEDs constructed from another two quasar samples selected with larger (<b>top</b> panels) or smaller (<b>bottom</b> panels) <math display="inline"><semantics> <mrow> <mo form="prefix">log</mo> <msubsup> <mi>L</mi> <mrow> <mn>2200</mn> </mrow> <mi>min</mi> </msubsup> </mrow> </semantics></math>, i.e., by <math display="inline"><semantics> <mrow> <mo>±</mo> <mn>0.2</mn> </mrow> </semantics></math> dex in all redshift bins, than our reference values. In each panel, the green dashed curve is the best-fit smoothly broken power law taken from the corresponding panel of <a href="#universe-10-00431-f007" class="html-fig">Figure 7</a>.</p>
Full article ">Figure 10
<p>SEDs predicted by the thin disk (<b>left</b> panel) and truncated disk (<b>right</b> panel) models for <math display="inline"><semantics> <msub> <mi>N</mi> <mi>ME</mi> </msub> </semantics></math> quasars, with measurements on both <math display="inline"><semantics> <msub> <mi>M</mi> <mi>BH</mi> </msub> </semantics></math> and <math display="inline"><semantics> <msub> <mi>λ</mi> <mi>Edd</mi> </msub> </semantics></math>, of <math display="inline"><semantics> <msub> <mi>N</mi> <mi mathvariant="normal">q</mi> </msub> </semantics></math> quasars in <math display="inline"><semantics> <mrow> <mn>1.8</mn> <mo>&lt;</mo> <mi>z</mi> <mo>≤</mo> <mn>2.0</mn> </mrow> </semantics></math> as an example. Each gray thin solid curve is an SED of a quasar, while the blue dotted and red dashed curves are the resultant model-predicted mean and median composite SEDs for quasars in that redshift bin, respectively. For comparison, a black solid curve superimposed on the red dashed curve represents a specific SED implied by the median <math display="inline"><semantics> <mrow> <msub> <mi>λ</mi> <mi>Edd</mi> </msub> <mo>/</mo> <msub> <mi>M</mi> <mi>BH</mi> </msub> </mrow> </semantics></math> of the <math display="inline"><semantics> <msub> <mi>N</mi> <mi>ME</mi> </msub> </semantics></math> quasars.</p>
Full article ">Figure 11
<p>(The <b>top</b> panels): comparing the model-predicated mean composite SEDs for quasars in different redshift bins (colored thin curves) to the observed mean composite SED (black thick solid curve), the truncated disk model (<b>top-right</b> panel) performs better than the thin disk model (<b>top-left</b> panel). The median values of <span class="html-italic">z</span> and <math display="inline"><semantics> <mrow> <msub> <mi>λ</mi> <mi>Edd</mi> </msub> <mo>/</mo> <msub> <mi>M</mi> <mi>BH</mi> </msub> </mrow> </semantics></math> for quasars in each redshift bin are nominated in the legend. In the right panel for the truncated disk model, the legend contains a typical truncation radius, <math display="inline"><semantics> <msub> <mi>r</mi> <mi>tr</mi> </msub> </semantics></math> (in gravitational radius <math display="inline"><semantics> <msub> <mi>r</mi> <mi mathvariant="normal">g</mi> </msub> </semantics></math>), corresponding to a maximum disk temperature determined by the median <math display="inline"><semantics> <mrow> <msub> <mi>λ</mi> <mi>Edd</mi> </msub> <mo>/</mo> <msub> <mi>M</mi> <mi>BH</mi> </msub> </mrow> </semantics></math> of quasars. (The <b>bottom</b> panels): same as the top ones, but for comparing the median composite SEDs.</p>
Full article ">Figure 12
<p>The blue dashed (red solid) curve is our mean (median) composite quasar SED. The black dotted curve is the AD2 SED of Netzer [<a href="#B69-universe-10-00431" class="html-bibr">69</a>], whose ionizing continuum is weakest among the four SEDs adopted by Netzer [<a href="#B69-universe-10-00431" class="html-bibr">69</a>] and has difficulties in producing large enough line luminosities, including C<span class="html-small-caps">iv</span> 1549, He<span class="html-small-caps">ii</span> 1640, and H<math display="inline"><semantics> <mi>β</mi> </semantics></math>. On the top axis, there are marked specific wavelengths corresponding to the ionization potential energies of H<span class="html-small-caps">i</span> (<math display="inline"><semantics> <mrow> <mn>911.8</mn> <mo> </mo> <mover accent="true"> <mi mathvariant="normal">A</mi> <mo>˚</mo> </mover> </mrow> </semantics></math>), He<span class="html-small-caps">i</span> (<math display="inline"><semantics> <mrow> <mn>504.3</mn> <mo> </mo> <mover accent="true"> <mi mathvariant="normal">A</mi> <mo>˚</mo> </mover> </mrow> </semantics></math>), He<span class="html-small-caps">ii</span> (<math display="inline"><semantics> <mrow> <mn>227.8</mn> <mo> </mo> <mover accent="true"> <mi mathvariant="normal">A</mi> <mo>˚</mo> </mover> </mrow> </semantics></math>), and C<span class="html-small-caps">iv</span> (<math display="inline"><semantics> <mrow> <mn>192.2</mn> <mo> </mo> <mover accent="true"> <mi mathvariant="normal">A</mi> <mo>˚</mo> </mover> </mrow> </semantics></math>).</p>
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20 pages, 10120 KiB  
Article
Radiation Damage on Silicon Photomultipliers from Ionizing and Non-Ionizing Radiation of Low-Earth Orbit Operations
by Stefano Merzi, Fabio Acerbi, Corinne Aicardi, Daniela Fiore, Vincent Goiffon, Alberto Giacomo Gola, Olivier Marcelot, Alex Materne and Olivier Saint-Pe
Sensors 2024, 24(15), 4990; https://doi.org/10.3390/s24154990 - 1 Aug 2024
Cited by 1 | Viewed by 1034
Abstract
Silicon Photomultipliers (SiPMs) are single photon detectors that gained increasing interest in many applications as an alternative to photomultiplier tubes. In the field of space experiments, where volume, weight and power consumption are a major constraint, their advantages like compactness, ruggedness, and their [...] Read more.
Silicon Photomultipliers (SiPMs) are single photon detectors that gained increasing interest in many applications as an alternative to photomultiplier tubes. In the field of space experiments, where volume, weight and power consumption are a major constraint, their advantages like compactness, ruggedness, and their potential to achieve high quantum efficiency from UV to NIR makes them ideal candidates for spaceborne, low photon flux detectors. During space missions however, SiPMs are usually exposed to high levels of radiation, both ionizing and non-ionizing, which can deteriorate the performance of these detectors over time. The goal of this work is to compare process and layout variation of SiPMs in terms of their radiation damage effects to identify the features that helps reduce the deterioration of the performance and develop the next generation of more radiation-tolerant detectors. To do this, we used protons and X-rays to irradiate several Near Ultraviolet High-Density (NUV-HD) SiPMs with small areas (single microcell, 0.2 × 0.2 mm2 and 1 × 1 mm2) produced at Fondazione Bruno Kessler (FBK), Italy. We performed online current-voltage measurements right after each irradiation step, and a complete functional characterization before and after irradiation. We observed that the main contribution to performance degradation in space applications comes from proton damage in the form of an increase in primary dark count rate (DCR) proportional to the proton fluence and a reduction in activation energy. In this context, small active area devices show a lower DCR before and after irradiation, and we propose light or charge-focusing mechanisms as future developments for high-sensitivity radiation-tolerant detectors. Full article
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<p>PCBs used for irradiation tests. The full setup is composed of two PCBs assembled to cover the full irradiation field.</p>
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<p>(<b>Left</b>): complete irradiation setup with the four main parts highlighted. (<b>Right</b>): detail of the carrier PCB with motorized shutter and blue LED, highlighting the positioning of the two PCBs with the samples to be irradiated. Note: the system is seen here from the backside. The LED is mounted on the shutter and, when closed, illuminates the SiPMs from the front; i.e., the same direction of the incoming proton or X-ray beam.</p>
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<p>(<b>Top</b>): Total fluence as a function of the irradiation steps for the different PCBs under proton irradiation. (<b>Bottom</b>): Total dose in silicon as a function of the irradiation steps for the different PCBs under X-ray irradiation. In both cases, A is the primary PCB, measured online, while B and C are two versions of the secondary PCBs, replaced between irradiation steps.</p>
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<p>(<b>Top</b>) to (<b>bottom</b>): breakdown voltage, non-multiplied current (5 V below breakdown) and multiplied current (3 V above breakdown) as a function of the proton fluence for different structures of PCB-A.</p>
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<p>Calculated DCR as a function of the proton fluence for different structures of PCB-A, calculated at 3 V of excess bias. The bottom plot highlights the difference in DCR between cells with different sizes and different FF.</p>
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<p>Damage parameter as a function of the proton fluence (<b>Top</b>) at 3 V of excess bias and as a function of the excess bias at 2.4 × 10<sup>10</sup> p/cm<sup>2</sup> (<b>Bottom</b>).</p>
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<p>(<b>Top</b>) to (<b>bottom</b>): PDE as a function of the proton fluence for the 32 structures of PCB-A, calculated at 3 V of excess bias, gain, crosstalk probability and afterpulse probability measured before and after proton irradiation at 4 V of excess bias.</p>
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<p>Average activation energy for the different dies calculated at 3 V of excess bias before (blue) and after (red) proton irradiation.</p>
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<p>(<b>Top</b>) to (<b>bottom</b>): breakdown voltage, non-multiplied current (5 V below breakdown) and multiplied current (3 V above breakdown) as a function of the total dose in silicon for different structures of PCB-A irradiated with X-rays.</p>
Full article ">Figure 9 Cont.
<p>(<b>Top</b>) to (<b>bottom</b>): breakdown voltage, non-multiplied current (5 V below breakdown) and multiplied current (3 V above breakdown) as a function of the total dose in silicon for different structures of PCB-A irradiated with X-rays.</p>
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<p>Calculated DCR as a function of the X-ray dose for different structures of PCB-A, calculated at 3 V of excess bias. The bottom plot highlights the difference in DCR between cells with different sizes.</p>
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<p>(<b>Top</b>) to (<b>bottom</b>): PDE as a function of the X-ray dose for different structures of PCB-A calculated at 3 V of excess bias, gain, crosstalk probability, and afterpulse probability measured before and after X-ray irradiation at 4 V of excess bias.</p>
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20 pages, 6237 KiB  
Article
Microplastics’ Detection in Honey: Development of Protocols in a Simulation
by Klytaimnistra Katsara, Zacharias Viskadourakis, Eleftherios Alissandrakis, Nikos Kountourakis, George Kenanakis and Vassilis M. Papadakis
Appl. Sci. 2024, 14(11), 4720; https://doi.org/10.3390/app14114720 - 30 May 2024
Cited by 1 | Viewed by 1773
Abstract
Honey, renowned for its nutritional and therapeutic properties, has recently come under scrutiny due to its contamination by microplastics, in multiple ways. Bees’ exposure to plastic pollution impacts the whole hive’s ecosystem, and plastic tends to accumulate in hive products. Plastic packaging as [...] Read more.
Honey, renowned for its nutritional and therapeutic properties, has recently come under scrutiny due to its contamination by microplastics, in multiple ways. Bees’ exposure to plastic pollution impacts the whole hive’s ecosystem, and plastic tends to accumulate in hive products. Plastic packaging as polyethylene terephthalate (PET) is used to store honey in small flexible packages, which also increases the risk of microplastic migration. This study aims to establish three practical detection methods for PET microplastics and nanoplastics in honey, using readily available laboratory equipment without the need for chemical digestion or costly pretreatment protocols, in a laboratory-based simulation. The first method utilizes Raman micro-spectroscopy, offering high-resolution identification of PET microplastics on cellulose acetate filters with Raman mapping, eliminating the need for organic solvents or dyes. The second method employs optical microscopic observation under fluorescence with the aid of 4-dimethylamino-4′-nitrostilbene dye and ultraviolet radiation to enhance microplastic visibility, making it suitable for laboratories with standard optical microscopes. To isolate MPs from the solid honey particles, a density separator has been introduced using pentane. Lastly, the third method employs the use of electrospray ionization mass spectrometry for the detection of nanoplastics (<200 nm) in honey samples, through the examination of the different extraction phases of density separation. All the aforementioned methods contribute to efficient microplastic detection in honey, ensuring its quality and safe consumption. Full article
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<p>Experimental setup. (<b>a</b>) Sample filtration through CA filter; (<b>b</b>) CA filter under the Raman microscope for Raman mapping; (<b>c</b>) 532 nm laser on for Raman mapping; and (<b>d</b>) The sediment on a metallic microscopic slide.</p>
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<p>Raman maps from each extraction phase: (<b>a</b>) D_Y1; (<b>b</b>) D_Y2; (<b>c</b>) D_YC1; (<b>d</b>) D_YC2; (<b>e</b>) D_C1; (<b>f</b>) D_C2; (<b>g</b>) D_Final.</p>
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<p>(<b>a</b>) Raman map from diluted honey with MPs in deionized water which passed through CA filter after filtration with mesh 200 (74 μm pore size) and (<b>b</b>) PET MPs as identified from the left map.</p>
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<p>PET MPs under the optical microscope from each phase: (<b>a</b>) D_Y1; (<b>b</b>) D_Y2; (<b>c</b>) D_YC2; (<b>d</b>) D_C1; (<b>e</b>) D_C2; (<b>f</b>) D_Final; (<b>g</b>) sediment of colloid phase from the first extraction; (<b>h</b>) sediment of colloid phase from the second extraction.</p>
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<p>(<b>a</b>) PET MPs with honey solids on CA filter; (<b>b</b>) PET MPs with honey solids on the microscopic metallic slide; (<b>c</b>) The Raman signals of the five detected PET MPs from <a href="#applsci-14-04720-f005" class="html-fig">Figure 5</a>a,b and <a href="#applsci-14-04720-f004" class="html-fig">Figure 4</a>a–c compared with PET powder Raman signal.</p>
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<p>(<b>a</b>) Picture with MPs from first experiment with dyed MPs into the honey; (<b>b</b>) Raman plot of MPs detected in picture (<b>a</b>); (<b>c</b>) Picture with MPs from second experiment with dyed MPs in honey, before dyed MPs mixed with it; (<b>d</b>) Raman plot of MPs detected in picture (<b>c</b>).</p>
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<p>(<b>a</b>) CA filter from the first experiment with dyed PET MPs under UV; (<b>b</b>) CA filter from the second experiment with dyed PET MPs under UV; (<b>c1</b>,<b>c2</b>) CA filter from dyed PET MPs under UV in honey; (<b>d</b>) CA filter from pure honey with DANS under UV; (<b>e</b>) pure CA filter with DANS; (<b>f</b>) dyed MPs under UV; (<b>g</b>) the same area as picture (<b>f</b>), dyed MPs with monochromatic imaging at 625 nm.</p>
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<p>Raman maps comparison between different organic solvents and their aqueous phases: (<b>a</b>) Raman map of S1, toluene sample; (<b>b</b>) Raman map of the aqueous phase of S1; (<b>c</b>) Raman map of S2, petroleum ether sample; (<b>d</b>) Raman map of the aqueous phase of S2; (<b>e</b>) Raman map of S3; (<b>f</b>) Raman map of S4, pentane sample, (<b>g</b>) Raman map of the aqueous phase of S4.</p>
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<p>(<b>a</b>) PET powder; (<b>b</b>) honey sample; and (<b>c</b>) Raman spectra for pure honey (black line) and PET powder (red line), used for the experiments.</p>
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<p>MS1 spectra of PET fragments masses, z = 1 MH<sup>+</sup> in MPs_H<sub>2</sub>O sample: (<b>a</b>) <span class="html-italic">m</span>/<span class="html-italic">z</span> 167.0337 and (<b>b</b>) <span class="html-italic">m</span>/<span class="html-italic">z</span> 211.0599.</p>
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16 pages, 309 KiB  
Review
Causes of Childhood Cancer: A Review of the Recent Literature: Part I—Childhood Factors
by Angela M. Ricci, Rebecca T. Emeny, Pamela J. Bagley, Heather B. Blunt, Mary E. Butow, Alexandra Morgan, Jennifer A. Alford-Teaster, Linda Titus, Raymond R. Walston and Judy R. Rees
Cancers 2024, 16(7), 1297; https://doi.org/10.3390/cancers16071297 - 27 Mar 2024
Cited by 2 | Viewed by 4171
Abstract
Purpose: To review the childhood risk factors for pediatric cancer (diagnosis before age 20). Methods: We conducted literature searches using Ovid Medline and Scopus to find primary research studies, review articles, and meta-analyses published from 2014 to 3 March 2021. Results: Strong evidence [...] Read more.
Purpose: To review the childhood risk factors for pediatric cancer (diagnosis before age 20). Methods: We conducted literature searches using Ovid Medline and Scopus to find primary research studies, review articles, and meta-analyses published from 2014 to 3 March 2021. Results: Strong evidence indicates that an array of genetic and epigenetic phenomena, structural birth defects, and chromosomal anomalies are associated with an increased risk of various childhood cancers. Increased risk is also associated with prior cancer, likely due to previous treatment agents and therapeutic ionizing radiation. Convincing evidence supports associations between several pediatric cancers and ionizing radiation, immunosuppression, and carcinogenic virus infection both in healthy children and in association with immune suppression following organ transplantation. Breastfeeding and a childhood diet rich in fruits and vegetables appears to reduce the risk of pediatric leukemia but the evidence is less strong. Childhood vaccination against carcinogenic viruses is associated with a lower risk of several cancers; there is less strong evidence that other childhood vaccinations more broadly may also lower risk. Ultraviolet (UV) radiation is associated with increased melanoma risk, although most melanomas following childhood UV exposure occur later, in adulthood. Evidence is weak or conflicting for the role of body mass index, other childhood infections, allergies, and certain treatments, including immunomodulator medications and human growth therapy. Full article
(This article belongs to the Special Issue Feature Paper in Section 'Cancer Epidemiology and Prevention' in 2024)
17 pages, 4752 KiB  
Article
Investigating the Effectiveness of Different Porous Nanoparticles as Drug Carriers for Retaining the Photostability of Pinosylvin Derivative
by Fadak Howaili, Atefeh Saadabadi, Ermei Mäkilä, Ekaterina Korotkova, Patrik C. Eklund, Outi M. H. Salo-Ahen and Jessica M. Rosenholm
Pharmaceutics 2024, 16(2), 276; https://doi.org/10.3390/pharmaceutics16020276 - 15 Feb 2024
Viewed by 1969
Abstract
Pinosylvin monomethyl ether (PsMME) is a natural compound known for its valuable bioactive properties, including antioxidant and anti-inflammatory effects. However, PsMME’s susceptibility to photodegradation upon exposure to ultraviolet (UV) radiation poses a significant limitation to its applications in the pharmaceutical field. This study, [...] Read more.
Pinosylvin monomethyl ether (PsMME) is a natural compound known for its valuable bioactive properties, including antioxidant and anti-inflammatory effects. However, PsMME’s susceptibility to photodegradation upon exposure to ultraviolet (UV) radiation poses a significant limitation to its applications in the pharmaceutical field. This study, for the first time, introduces a strategy to enhance the photostability of PsMME by employing various nanoformulations. We utilized mesoporous silica nanoparticles (MSNs) coated with polydopamine via a poly(ethylene imine) layer (PDA–PEI–MSNs), thermally carbonized porous silicon nanoparticles (TCPSi), and pure mesoporous polydopamine nanoparticles (MPDA). All these nanocarriers exhibit unique characteristics, including the potential for shielding the drug from UV light, which makes them promising for enhancing the photostability of loaded drugs. Here, these three nanoparticles were synthesized and their morphological and physicochemical properties, including size and ζ-potential, were characterized. They were subsequently loaded with PsMME, and the release profiles and kinetics of all three nanoformulations were determined. To assess their photoprotection ability, we employed gas chromatography with a flame ionization detector (GC-FID) and gas chromatography–mass spectrometry (GC-MS) to assess the recovery percentage of loaded PsMME before and after UV exposure for each nanoformulation. Our findings reveal that MPDA exhibits the highest protection ability, with a remarkable 90% protection against UV light on average. This positions MPDA as an ideal carrier for PsMME, and by extension, potentially for other photolabile drugs as well. As a final confirmation of its suitability as a drug nanocarrier, we conducted cytotoxicity evaluations of PsMME-loaded MPDA, demonstrating dose-dependent drug toxicity for this formulation. Full article
(This article belongs to the Special Issue Nanoformulation of Drug Delivery Systems for Natural Products)
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<p>TEM images of MSNs (<b>A</b>), PDA–PEI–MSNs (<b>B</b>), MPDA (<b>C</b>), and TCPSi (<b>D</b>) nanoparticles.</p>
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<p>Nitrogen adsorption–desorption isotherms of TCPSi, PDA–PEI–MSNs, and MPDA nanoparticles.</p>
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<p>Secondary electron micrographs of PDA–PEI–MSNs (<b>A</b>), TCPSi (<b>B</b>), and MPDA (<b>C</b>) nanoparticles acquired with SEM using an in-column detector at 2 kV accelerating voltage.</p>
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<p>In vitro PsMME release from MPDA, TCPSi, and PDA–PEI–MSNs at different pH values: acetate buffer (5.5), phosphate buffer (6.8), and PBS (7.4) at 37 °C (<span class="html-italic">n</span> = 3).</p>
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<p>(<b>A</b>) The superimposition of GC–FID chromatograms of PsMME–control (before UV exposure) and PsMME–UV (after UV exposure); IS—internal standard. (<b>B</b>) The recovery percentage of PsMME after exposure to UV light.</p>
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<p>Left: the superimposition of GC–FID chromatograms of the controls and the test samples: TCPSi–PsMME (<b>A</b>), PDA–PEI–MSNs–PsMME (<b>B</b>), and MPDA–PsMME (<b>C</b>). Right: the recovery percentage of PsMME for the TCPSi (<b>D</b>), PDA–PEI–MSNs (<b>E</b>), and MPDA (<b>F</b>) formulations. The control and test samples are represented in pink and blue colors, respectively.</p>
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<p>Cytocompatibility of PsMME and MPDA–PsMME incubated with HEK293 cells for 24 and 48 h.</p>
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16 pages, 2671 KiB  
Article
Low-Dose Ionizing Radiation-Crosslinking Immunoprecipitation (LDIR-CLIP) Identified Irradiation-Sensitive RNAs for RNA-Binding Protein HuR-Mediated Decay
by Ji Won Lee, Hyejin Mun, Jeong-Hyun Kim, Seungbeom Ko, Young-Kook Kim, Min Ji Shim, Kyungmin Kim, Chul Woong Ho, Hyun Bong Park, Meesun Kim, Chaeyoung Lee, Si Ho Choi, Jung-Woong Kim, Ji-Hoon Jeong, Je-Hyun Yoon, Kyung-Won Min and Tae Gen Son
Biology 2023, 12(12), 1533; https://doi.org/10.3390/biology12121533 - 15 Dec 2023
Viewed by 2215
Abstract
Although ionizing radiation (IR) is widely used for therapeutic and research purposes, studies on low-dose ionizing radiation (LDIR) are limited compared with those on other IR approaches, such as high-dose gamma irradiation and ultraviolet irradiation. High-dose IR affects DNA damage response and nucleotide–protein [...] Read more.
Although ionizing radiation (IR) is widely used for therapeutic and research purposes, studies on low-dose ionizing radiation (LDIR) are limited compared with those on other IR approaches, such as high-dose gamma irradiation and ultraviolet irradiation. High-dose IR affects DNA damage response and nucleotide–protein crosslinking, among other processes; however, the molecular consequences of LDIR have been poorly investigated. Here, we developed a method to profile RNA species crosslinked to an RNA-binding protein, namely, human antigen R (HuR), using LDIR and high-throughput RNA sequencing. The RNA fragments isolated via LDIR-crosslinking and immunoprecipitation sequencing were crosslinked to HuR and protected from RNase-mediated digestion. Upon crosslinking HuR to target mRNAs such as PAX6, ZFP91, NR2F6, and CAND2, the transcripts degraded rapidly in human cell lines. Additionally, PAX6 and NR2F6 downregulation mediated the beneficial effects of LDIR on cell viability. Thus, our approach provides a method for investigating post-transcriptional gene regulation using LDIR. Full article
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<p>A subset of RNAs targeted by the RNA-binding protein HuR was identified using the LDIR-CLIP method. (<b>A</b>) Schematic diagram of LDIR-CLIP-sequencing analysis. (<b>B</b>) Autoradiograph of RNA fragments crosslinked with HuR upon irradiation at doses of 0.02–5 Gy for 24 h. Two loadings at each dose are biological replicates, and then the samples were pooled together for a single library preparation and high-throughput sequencing (<span class="html-italic">n</span> = 1). (<b>C</b>) Number of HuR-binding sites on CDS, UTR, and introns following irradiation at 0.02–5 Gy for 24 h. (<b>D</b>) Venn diagrams summarizing the transcripts associated with HuR following irradiation at 0.02–5 Gy for 24 h. (<b>E</b>) Number of transcripts commonly identified using LDIR-CLIP and PAR-CLIP. The original blot image is presented in <a href="#app1-biology-12-01533" class="html-app">Supplementary Figure S4</a>.</p>
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<p>LDIR affects the binding of HuR with target mRNAs. (<b>A</b>) Immunoprecipitation efficiencies were analyzed using HuR antibody after immunoprecipitation. (<b>B</b>–<b>E</b>) HuR RIP RT-qPCR of RNAs profiled in LDIR-CLIP-seq. Data represent the mean ± SD from <span class="html-italic">n</span> = 2 independent experiments. *: <span class="html-italic">p</span> &lt; 0.05; **: <span class="html-italic">p</span> &lt; 0.01, ***: <span class="html-italic">p</span> &lt; 0.001, ns: <span class="html-italic">p</span> &gt; 0.05 from Student’s <span class="html-italic">t</span>-test. Original blot images are presented in <a href="#app1-biology-12-01533" class="html-app">Supplementary Figure S4</a>.</p>
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<p>Comparison of LDIR-CLIP and PAR-CLIP regarding altered gene expression upon LDIR: (<b>A</b>,<b>C</b>,<b>E</b>,<b>G</b>,<b>I</b>) cumulative distribution function (CDF) plots of transcripts targeted by HuR after 6 h irradiation and (<b>B</b>,<b>D</b>,<b>F</b>,<b>H</b>,<b>J</b>) CDF plots of transcripts targeted by HuR after 12 h irradiation.</p>
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<p>Changes in levels of HuR-targeted RNA following LDIR. (<b>A</b>) (<b>Top</b>) Schematic diagram of deep-sequencing data showing the genomic locus with CRISPR guide sequence (yellow), PAM motif (red), and predicted cleavage site (arrow). (<b>Bottom</b>) Western blot analysis of HEK293 cells expressing the sgRNA targeting the control region or <span class="html-italic">HuR</span> gene. (<b>B</b>,<b>C</b>) RT-qPCR to detect <span class="html-italic">PAX6</span>, <span class="html-italic">NR2F6</span>, <span class="html-italic">CAND2</span>, and <span class="html-italic">ZFP91</span> expression in HuR<sup>+/+</sup> and <sup>−/−</sup> cells upon 0.05 Gy irradiation for 6 h (<b>B</b>) or 12 h (<b>C</b>). Data represent the mean ± SD from <span class="html-italic">n</span> = 3 independent experiments. *: <span class="html-italic">p</span> &lt; 0.05; **: <span class="html-italic">p</span> &lt; 0.01, ***: <span class="html-italic">p</span> &lt; 0.001, ns: <span class="html-italic">p</span> &gt; 0.05 from Student’s <span class="html-italic">t</span>-test. Original blot images are presented in <a href="#app1-biology-12-01533" class="html-app">Supplementary Figure S4</a>.</p>
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<p>LDIR destabilizes HuR-bound mRNAs to enhance cell viability. (<b>A</b>,<b>B</b>) mRNA stability of <span class="html-italic">PAX6</span>, <span class="html-italic">NR2F6</span>, and <span class="html-italic">GAPDH</span> mRNAs following 0.05 Gy irradiation for 6 h (<b>A</b>) or 12 h (<b>B</b>) in HuR<sup>+/+</sup> and <sup>−/−</sup> cells. (<b>C</b>) Viability of HuR<sup>+/+</sup> and <sup>−/−</sup> cells upon 0.05 Gy irradiation at 6 days when <span class="html-italic">PAX6</span> or <span class="html-italic">NR2F6</span> was re-introduced. (<b>D</b>) HuR KO, <span class="html-italic">PAX6</span>, or <span class="html-italic">NR2F6</span> overexpression was confirmed using western blot analysis. Beta-actin was used as an endogenous control. Data represent the mean ± SD from <span class="html-italic">n</span> = 4 independent experiments. *: <span class="html-italic">p</span> &lt; 0.05, **: <span class="html-italic">p</span> &lt; 0.01, ***: <span class="html-italic">p</span> &lt; 0.001, ns: <span class="html-italic">p</span> &gt; 0.05 from Student’s <span class="html-italic">t</span>-test. Original blot images are presented in <a href="#app1-biology-12-01533" class="html-app">Supplementary Figure S4</a>.</p>
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<p>Schematic diagram of post-transcriptional gene regulation mediated by low-dose ionizing radiation (LDIR). LDIR-mediated crosslinking of <span class="html-italic">PAX6</span> and <span class="html-italic">NR2F6</span> mRNAs with HuR likely decreases their stability.</p>
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26 pages, 2124 KiB  
Review
Material Characterization Required for Designing Satellites from Fiber-Reinforced Polymers
by Esha and Joachim Hausmann
J. Compos. Sci. 2023, 7(12), 515; https://doi.org/10.3390/jcs7120515 - 11 Dec 2023
Cited by 1 | Viewed by 2898
Abstract
This review paper discusses the effect of polymers, especially thermoplastics, in environments with low earth orbits. Space weather in terms of low earth orbits has been characterized into seven main elements, namely microgravity, residual atmosphere, high vacuum, atomic oxygen, ultraviolet and ionization radiation, [...] Read more.
This review paper discusses the effect of polymers, especially thermoplastics, in environments with low earth orbits. Space weather in terms of low earth orbits has been characterized into seven main elements, namely microgravity, residual atmosphere, high vacuum, atomic oxygen, ultraviolet and ionization radiation, solar radiation, and space debris. Each element is discussed extensively. Its effect on polymers and composite materials has also been studied. Quantification of these effects can be evaluated by understanding the mechanisms of material degradation caused by each environmental factor along with its synergetic effect. Hence, the design elements to mitigate the material degradation can be identified. Finally, a cause-and-effect diagram (Ishikawa diagram) is designed to characterize the important design elements required to investigate while choosing a material for a satellite’s structure. This will help the designers to develop experimental methodologies to test the composite material for its suitability against the space environment. Some available testing facilities will be discussed. Some potential polymers will also be suggested for further evaluation. Full article
(This article belongs to the Special Issue Characterization and Modelling of Composites, Volume III)
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<p>Source of heat for a satellite.</p>
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<p>Spectral irradiance at low earth orbit.</p>
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<p>Cause and effect diagram of design requirement and its characteristics.</p>
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16 pages, 1235 KiB  
Article
The Influence of the Exposome in the Cutaneous Squamous Cell Carcinoma, a Multicenter Case–Control Study
by Alba Navarro-Bielsa, Tamara Gracia-Cazaña, Manuel Almagro, Sonia De la Fuente-Meira, Ángeles Flórez, Oriol Yélamos, Trinidad Montero-Vilchez, Carlos González-Cruz, Adrián Diago, Isabel Abadías-Granado, Victoria Fuentelsaz, María Colmenero, José Bañuls, Salvador Arias-Santiago, Agustín Buendía-Eisman, Manuel Almenara-Blasco, Pedro Gil-Pallares and Yolanda Gilaberte
Cancers 2023, 15(22), 5376; https://doi.org/10.3390/cancers15225376 - 12 Nov 2023
Cited by 1 | Viewed by 1811
Abstract
Introduction: The concept of exposome refers to the total of harmful and beneficial environmental exposures that can help predict the organism’s biological responses over time. Ultraviolet radiation (UVR) from sun exposure has been recognized as the main etiological agent of skin cancer, and [...] Read more.
Introduction: The concept of exposome refers to the total of harmful and beneficial environmental exposures that can help predict the organism’s biological responses over time. Ultraviolet radiation (UVR) from sun exposure has been recognized as the main etiological agent of skin cancer, and squamous cell carcinoma (SCC) is one most commonly associated with chronic exposure. However, in recent years, evidence suggests that lifestyle, environmental pollution, and contaminants in water and food can have an influence. Objectives: To study the relationship between SCC and sun exposure, pollution, stress, and lifestyle in a Spanish cohort. Materials and Method: A multicenter case–control study was carried out in which 13 dermatologists from different regions of Spain recruited cases and controls between April 2020 and August 2022. The group of cases were patients diagnosed with SCC and, as a control group, people who attended Dermatology consultations as companions with no history of skin cancer. Results: A total of 62 patients with SCC and 126 controls were included (62.9% males, median age 76.46 (10.1) and 33.3%, median age 55.7 (15), respectively). The SCC group had experienced more outside work than the controls (75% vs. 22.4%, p < 0.001), less recreational exposure (sunbathing, p = 0.05, and outdoor sports, p = 0.01), and a lower annual income (p = 0.01), with an increase in tobacco exposure (p < 0.001), without differences in other carcinogens, such as ionizing radiation or chemical exposure. The control group had a higher daily screentime use (p < 0.001) and practiced more relaxation activities (p = 0.03). A higher linolenic acid intake and lower coffee consumption were the only dietary variables associated with SCC (p < 0.05). Some chronic medications (anxiolytics, antidepressants, beta-blockers, statins, hydrochlorothiazide, ACE inhibitors, metformin, and omeprazole) were also statistically associated with SCC. Statistical significance for all aforementioned variables was maintained in the multivariate analysis (p < 0.05). Conclusions: The study found a significant association between SCC and multiple exposome-related factors in addition to chronic sun exposure in the Spanish population. Primary prevention strategies should target specific populations, such as outdoor workers promoting sun-safe behaviors and stress-reducing activities, in addition to adequate skin photoprotection in patients under certain medications associated with SCC. Full article
(This article belongs to the Special Issue New Concepts and Recent Advances in the Management of Skin Cancer)
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<p>Exposome factors related to squamous cell carcinoma (SCC). In red, at the top, from left to right, risk factors for the development of SCC: exposition to ultraviolet radiation, drug consumption (anxiolytics, antidepressants, beta-blockers, statins, hydrochlorothiazide, ACE inhibitors, metformin, and omeprazole), use of hat or cap, smoking, phototype, age, linolenic acid intake, previous outside work, and years of sun exposure. At the bottom, in green, protective factors for the development of SCC from left to right: current work place indoors, hours/day with screens, relaxation activities, and coffee intake.</p>
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24 pages, 3054 KiB  
Review
Effects and Mechanisms of Non-Thermal Plasma-Mediated ROS and Its Applications in Animal Husbandry and Biomedicine
by Yuhan Yang, Yuan Wang, Shang Wei, Xianzhong Wang and Jiaojiao Zhang
Int. J. Mol. Sci. 2023, 24(21), 15889; https://doi.org/10.3390/ijms242115889 - 2 Nov 2023
Cited by 7 | Viewed by 2402
Abstract
Non-thermal plasma (NTP) is an ionized gas composed of neutral and charged reactive species, electric fields, and ultraviolet radiation. NTP presents a relatively low discharge temperature because it is characterized by the fact that the temperature values of ions and neutral particles are [...] Read more.
Non-thermal plasma (NTP) is an ionized gas composed of neutral and charged reactive species, electric fields, and ultraviolet radiation. NTP presents a relatively low discharge temperature because it is characterized by the fact that the temperature values of ions and neutral particles are much lower than that of electrons. Reactive species (atoms, radicals, ions, electrons) are produced in NTP and delivered to biological objects induce a set of biochemical processes in cells or tissues. NTP can mediate reactive oxygen species (ROS) levels in an intensity- and time-dependent manner. ROS homeostasis plays an important role in animal health. Relatively low or physiological levels of ROS mediated by NTP promote cell proliferation and differentiation, while high or excessive levels of ROS mediated by NTP cause oxidative stress damage and even cell death. NTP treatment under appropriate conditions not only produces moderate levels of exogenous ROS directly and stimulates intracellular ROS generation, but also can regulate intracellular ROS levels indirectly, which affect the redox state in different cells and tissues of animals. However, the treatment condition of NTP need to be optimized and the potential mechanism of NTP-mediated ROS in different biological targets is still unclear. Over the past ten decades, interest in the application of NTP technology in biology and medical sciences has been rapidly growing. There is significant optimism that NTP can be developed for a wide range of applications such as wound healing, oral treatment, cancer therapy, and biomedical materials because of its safety, non-toxicity, and high efficiency. Moreover, the combined application of NTP with other methods is currently a hot research topic because of more effective effects on sterilization and anti-cancer abilities. Interestingly, NTP technology has presented great application potential in the animal husbandry field in recent years. However, the wide applications of NTP are related to different and complicated mechanisms, and whether NTP-mediated ROS play a critical role in its application need to be clarified. Therefore, this review mainly summarizes the effects of ROS on animal health, the mechanisms of NTP-mediated ROS levels through antioxidant clearance and ROS generation, and the potential applications of NTP-mediated ROS in animal growth and breeding, animal health, animal-derived food safety, and biomedical fields including would healing, oral treatment, cancer therapy, and biomaterials. This will provide a theoretical basis for promoting the healthy development of animal husbandry and the prevention and treatment of diseases in both animals and human beings. Full article
(This article belongs to the Section Physical Chemistry and Chemical Physics)
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<p>The main compositions of non-thermal plasma (NTP) and its applications.</p>
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<p>The potential mechanisms of NTP on mediating ROS levels.</p>
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<p>Effects of NTP-generated ROS on wound healing and scar treatment. Low/appropriate NTP treatments produce a physiological level of ROS, which activates Wnt/β-Catenin, Kelch-like epichlorohydrin-associated protein 1 (KEAP1)-nuclear factor-E2-related factor 2 (NRF2), phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT), and nuclear factor kappa-B (NF-κB) signaling pathways that promote cell adhesion, migration, and proliferation, and further improve wound healing. High NTP treatments produce a high level of ROS, which induces cell apoptosis through regulating p53, c-Jun N-terminal kinase (JNK), and p38 mitogen-activated protein kinase (MAPK)-mediated caspase pathways, and further suppress hypertrophic scar formation.</p>
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13 pages, 3652 KiB  
Article
Extreme Ultraviolet Radiation Sources from Dense Plasmas
by Klaus Bergmann
Atoms 2023, 11(9), 118; https://doi.org/10.3390/atoms11090118 - 31 Aug 2023
Cited by 2 | Viewed by 1766
Abstract
The concept of dense and hot plasmas can be used to build up powerful and brilliant radiation sources in the soft X-ray and extreme ultraviolet spectral range. Such sources are used for nanoscale imaging and structuring applications, such as EUV lithography in the [...] Read more.
The concept of dense and hot plasmas can be used to build up powerful and brilliant radiation sources in the soft X-ray and extreme ultraviolet spectral range. Such sources are used for nanoscale imaging and structuring applications, such as EUV lithography in the semiconductor industry. An understanding of light-generating atomic processes and radiation transport within the plasma is mandatory for optimization. The basic principles and technical concepts using either a pulsed laser or a gas discharge for plasma generation are presented, and critical aspects in the ionization dynamics are outlined within the framework of a simplified atomic physics model. Full article
(This article belongs to the Special Issue Atomic Physics in Dense Plasmas)
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<p>Photograph of a discharge-based extreme ultraviolet light source with source cabinet and rack with control unit and power supply.</p>
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<p>Photograph of a xenon pinch plasma from off-axis viewing direction in the visible range.</p>
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<p>Typical xenon emission spectrum of a xenon-based discharge EUV source.</p>
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<p>Radial emission profile of the xenon pinch plasma for the axial viewing direction, taken with an inband EUV camera at a wavelength of around 13.5 nm.</p>
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<p>Calculated energy level scheme for the Xe<sup>10+</sup> ion (from Ref. [<a href="#B32-atoms-11-00118" class="html-bibr">32</a>], reproduced with permission from O. Tomoyuki et al., J. Plasma Fusion Res. Series, Vol. 7; published by The Japan Society of Plasma Science and Nuclear Fusion Research, 2006).</p>
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<p>Scheme of a spatial extended plasma for illustration of the parameters, which are considered in the model for the spectral brightness along a certain line of sight. The emission is estimated via a two-level system, where the level population is determined by electron collisional excitation, de-excitation, spontaneous emission, induced emission and absorption within the resonance levels.</p>
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<p>Calculated level population for Gadolinium (<b>a</b>) and Terbium (<b>b</b>) in an equilibrium plasma as function of electron temperature for a density of n<sub>e</sub> = 3.9 × 10<sup>21</sup> cm<sup>−3</sup>.</p>
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<p>Ionization time constant for different ionization energies and electron temperatures as a function of electron density in a range, which covers discharge-based and laser-produced XUV plasmas.</p>
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<p>Calculated spectral brightness for a two-level system (Δ<span class="html-italic">E</span> = 185 eV, <span class="html-italic">T<sub>e</sub></span> = 100 eV, <span class="html-italic">n<sub>e</sub></span> = 3.9 × 10<sup>21</sup> cm<sup>−3</sup>, <span class="html-italic">A<sub>ul</sub></span> = 5 × 10<sup>12</sup> s<sup>−1</sup>, <span class="html-italic">d<sub>m</sub></span> = 10 µm) as a function of ion density.</p>
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<p>Synthetic emission spectrum of a spherical plasma for Gd<sup>23+</sup> based on the simplified model (black) and for a reduced ion density by a factor 20 (red) with <span class="html-italic">n<sub>e</sub></span> = 3.9 × 10<sup>21</sup> cm<sup>−3</sup>, <span class="html-italic">T<sub>e</sub></span> = 100 eV and d<sub>pl</sub> = 10 µm on different intervals for the wavelength. The dashed line indicates the Planck limit.</p>
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<p>Calculated optical density, τ<sub>m</sub>, for selected Gd, Tb, Al and Mg ions, which show resonance lines of around 6.7 nm.</p>
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15 pages, 2605 KiB  
Article
Ionizing Radiation Reduces Head and Neck Squamous Cell Carcinoma Cell Viability and Is Associated with Predictive Tumor-Specific T Cell Responses
by Puja Upadhaya, Nathan Ryan, Peyton Roth, Travis Pero, Felipe Lamenza, Anna Springer, Pete Jordanides, Hasan Pracha, Darrion Mitchell and Steve Oghumu
Cancers 2023, 15(13), 3334; https://doi.org/10.3390/cancers15133334 - 25 Jun 2023
Cited by 1 | Viewed by 2038
Abstract
Head and neck squamous cell carcinoma (HNSCC) is common and deadly, and there is a need for improved strategies to predict treatment responses. Ionizing radiation (IR) has been demonstrated to improve HNSCC outcomes, but its effects on immune responses are not well characterized. [...] Read more.
Head and neck squamous cell carcinoma (HNSCC) is common and deadly, and there is a need for improved strategies to predict treatment responses. Ionizing radiation (IR) has been demonstrated to improve HNSCC outcomes, but its effects on immune responses are not well characterized. We determined the impact of IR on T cell immune responses ex vivo. Human and mouse HNSCC cells were exposed to IR ranging from 20 to 200 Gy to determine cell viability and the ability to stimulate T-cell-specific responses. Lymph node cells of LY2 and MOC2 tumor-bearing or non-tumor-bearing mice were re-stimulated with a tumor antigen derived from LY2 or MOC2 cells treated with 200 Gy IR, ultraviolet (UV) exposure, or freeze/thaw cycle treatments. T cell proliferation and cytokine production were compared to T cells restimulated with plate-bound CD3 and CD28 antibodies. Human and mouse HNSCC cells showed reduced viability in response to ionizing radiation in a dose-dependent manner, and induced expression of T cell chemotactic cytokines. Tumor antigens derived from IR-treated LY2 and MOC2 cells induced greater proliferation of lymph node cells from tumor-bearing mice and induced unique T cell cytokine expression profiles. Our results demonstrate that IR induces potent tumoral immune responses, and IR-generated tumor antigens can potentially serve as an indicator of antitumor immune responses to HNSCC in ex vivo T cell restimulation assays. Full article
(This article belongs to the Special Issue Tumor Microenvironment of Head and Neck Cancer)
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<p>Effect of ionizing radiation on HNSCC cellular proliferation: (<b>A</b>,<b>B</b>) Dose-dependent decrease in viable mouse LY2, MOC2, and human CAL27 and SCC83 HNSCC cells with increasing doses of radiation from 0, 20, 50, 100, or 200 Gy. Data are presented as mean ± SE *** <span class="html-italic">p</span>-value &lt; 0.001; **** <span class="html-italic">p</span>-value &lt; 0.0001.</p>
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<p>Effect of ionizing radiation on expression of T cell chemotactic cytokines in HNSCC cells. (<b>A</b>–<b>D</b>) Gene expression analysis of chemokines CCL2, CCL4, CCL5, CXCL9, CXCL10, CXCL11, and CXCL12 in control or irradiated (<b>A</b>) MOC2, (<b>B</b>) LY2, (<b>C</b>) SCC83, and (<b>D</b>) CAL27 HNSCC cells. HNSCC cells were exposed to various doses of radiation from 0, 20, 50, 100, or 200 Gy. Data are presented as mean ± SE # <span class="html-italic">p</span>-value &lt; 0.1 * <span class="html-italic">p</span>-value &lt; 0.05; ** <span class="html-italic">p</span>-value &lt; 0.01; *** <span class="html-italic">p</span>-value &lt; 0.001; **** <span class="html-italic">p</span>-value &lt; 0.0001, when compared to control (non-irradiated) cells using ANOVA. ND—Not detected.</p>
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<p>Effect of various HNSCC tumor antigen preparations on anti-tumor T cell responses. Lymph nodes from (<b>A</b>–<b>E</b>) LY2 and (<b>F</b>–<b>J</b>) MOC2 tumor (cancer) or non-tumor (control) bearing mice exposed to (<b>A</b>,<b>F</b>) CD3/CD28 stimulating antibodies or various concentrations of antigens generated by (<b>B</b>,<b>G</b>) ionizing radiation (IR), (<b>C</b>,<b>H</b>) ultraviolet radiation (UV), (<b>D</b>,<b>I</b>) freeze/thaw cycle (F/T). (<b>E</b>,<b>J</b>) IFN-γ levels in lymph node cells from tumor (cancer) or non-tumor (control) bearing mice after restimulation with IR, UV, and F/T antigen preparations as assessed by ELISA. Black dots represent data points from individual mice. Data are presented as mean ± SE # <span class="html-italic">p</span>-value &lt; 0.1; * <span class="html-italic">p</span>-value &lt; 0.05; ** <span class="html-italic">p</span>-value &lt; 0.01.</p>
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<p>Analysis of antitumoral T cell immune responses in tumor-bearing mice after stimulation with irradiated HNSCC tumor antigen ex vivo. (<b>A</b>) Flow cytometry plots for PD1<sup>+</sup> T cells with population frequencies for CD4<sup>+</sup> and CD8<sup>+</sup> T cells and NK cells in lymph node samples from tumor- and non-tumor-bearing mice. (<b>B</b>) Flow cytometry plots for IFN-γ<sup>+</sup> T cells with population frequencies for CD4<sup>+</sup> and CD8<sup>+</sup> T cells and NK cells in lymph node samples from tumor- and non-tumor-bearing mice. (<b>C</b>) IFN-γ concentration of lymph node cells stimulated with CD3/CD28, or irradiated HNSCC tumor antigen (IR) in tumor (cancer) and non-tumor (control) bearing mice in (<b>C</b>) MOC2 and (<b>D</b>) LY2 HNSCC tumor models, as determined by ELISA. Black dots represent data points from individual mice. Data are presented as mean ± SE * <span class="html-italic">p</span>-value &lt; 0.05; ** <span class="html-italic">p</span>-value &lt; 0.01.</p>
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<p>Analysis of T cell immune responses associated with HNSCC progression after ex vivo stimulation with irradiated HNSCC tumor antigen (<b>A</b>) Representative flow cytometry plots and population frequencies for IL-4<sup>+</sup> CD4<sup>+</sup> T cells and IL4<sup>+</sup> CD8<sup>+</sup> T cells in non-tumor bearing (control) and tumor bearing (cancer) lymph node cells. Black dots represent data points from individual mice. (<b>B</b>–<b>F</b>) Concentrations of (<b>B</b>,<b>C</b>) IL-4, (<b>D</b>) IL-6, (<b>E</b>) IL-10, and (<b>F</b>) IL-17 in lymph node cells stimulated with CD3/CD28, or irradiated HNSCC tumor antigen (IR Ag) in tumor (cancer) and non-tumor (control) bearing mice as determined by ELISA. Data are presented as mean ± SE * <span class="html-italic">p</span>-value &lt; 0.05; ** <span class="html-italic">p</span>-value &lt; 0.01; *** <span class="html-italic">p</span>-value &lt; 0.001.</p>
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<p>Schematic representation of effects of ionizing radiation on HNSCC cells and tumor-specific T cell immune responses (Created with BioRender.com). In addition to established inhibitory effects on tumor cell growth, ionizing radiation promotes the expression of T cell chemotactic cytokines by HNSCC cells and contributes to tumor-specific T cell proliferation and the induction of T cell cytokines.</p>
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14 pages, 3603 KiB  
Article
Genomic Characterization of a Halovirus Representing a Novel Siphoviral Cluster
by Kaixin Diao, Guohui Li, Xueqin Sun, Hao Yi, Shiying Zhang and Wei Xiao
Viruses 2023, 15(6), 1392; https://doi.org/10.3390/v15061392 - 19 Jun 2023
Cited by 1 | Viewed by 2204
Abstract
Salt mines are a special type of hypersaline environment. Current research mainly focuses on prokaryotes, and the understanding of viruses in salt mines remains limited. Understanding viruses in hypersaline environments is of great significance for revealing the formation and maintenance of microbial communities, [...] Read more.
Salt mines are a special type of hypersaline environment. Current research mainly focuses on prokaryotes, and the understanding of viruses in salt mines remains limited. Understanding viruses in hypersaline environments is of great significance for revealing the formation and maintenance of microbial communities, energy flow and element cycling, and host ecological functions. A phage infecting Halomonas titanicae was isolated from Yipinglang Salt Mine in China, designated Halomonas titanicae phage vB_HtiS_YPHTV-1 (YPHTV-1). Transmission electron microscopy revealed that YPHTV-1 had an icosahedral head with a diameter of 49.12 ± 0.15 nm (n = 5) and a long noncontractile tail with a length of 141.7 ± 0.58 nm (n = 5), indicating that it was a siphovirus. The one-step growth curve showed that the burst size of YPHTV-1 was 69 plaque forming units (PFUs) cell−1. The genome of YPHTV-1 was 37,980 bp with a GC content of 36.2%. The phylogenetic analysis of the six conserved proteins indicated that YPHTV-1 formed a cluster with Bacillus phages and was separated from phages infecting Halomonas. The average nucleotide identity (ANI), phylogenetic, and network analyses indicated that the phage YPHTV-1 represented a new genus under Caudoviricetes. In total, 57 open reading frames (ORFs) were predicted in the YPHTV-1 genome, 30 of which could be annotated in the database. Notably, several auxiliary metabolic genes were encoded by YPHTV-1, such as ImmA/IrrE family metalloendopeptidase, mannose-binding lectin (MBL) folding metallohydrolase, M15 family of metal peptidases, MazG-like family protein, O antigen ligase, and acyltransferase. These genes potentially enabled the host bacterium to resist ionizing radiation, ultraviolet light (UV), mitomycin C, β-lactam antibiotic, high osmotic pressure, and nutritional deficiencies. These findings highlight the role of haloviruses in the life cycle of halobacteria. Full article
(This article belongs to the Special Issue Virus Bioinformatics 2023)
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<p>Phylogenetic analysis of H5 based on the 16S rRNA gene sequence. Phylogenetic trees were constructed using the neighbor-joining method by Mega 7.0. All parameters were default except the Bootstrap value was 1000, the p-distance model was used to calculate the distance, and the Gap/Missing Data Treatment cutoff was 50%.</p>
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<p>Biological features of phage YPHTV-1. (<b>A</b>) Transmission electron micrograph of YPHTV-1. Scale bar, 100 nm. Inset shows plaques morphology of YPHTV-1; scale bar, 5 mm. (<b>B</b>) One-step growth curve of phage YPHTV-1. Error bars represent the standard deviation of three replicates.</p>
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<p>The pH (<b>A</b>) and thermal (<b>B</b>) stability of YPHTV-1. Error bars represent the standard deviation of three replicates.</p>
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<p>The adsorption of phage YPHTV-1 to different cells. H5 and H5G belong to <span class="html-italic">H. titanicae</span>, QH52-2 belongs to <span class="html-italic">H. ventosae</span>, F3 belongs to <span class="html-italic">C. beijerinckii</span>, and F7 belongs to <span class="html-italic">C. canadensis.</span> The numerical value represents the adsorption rate of the virus on different cells. ANOVA analysis was used to test the difference in the viral adsorption rate between the host bacterium H5 and other cells (* 0.01 &lt; <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Genome map of YPHTV-1. The arrows represent ORFs, and different colors represent different functions. Red, structural protein; green, packaging transcription protein; blue, DNA replication, regulation, and nucleotide metabolism protein; purple, lytic and lysogenic protein; pink, other functional proteins; and gray, hypothetical protein with unknown function.</p>
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<p>Genome comparison between YPHTV-1 and <span class="html-italic">Virgibacillus</span> phage Mimir87 and <span class="html-italic">Bacillus</span> phage vB_BtS_BMBtp15. The arrow indicates the direction of gene transcription. The gray bar represents similarity.</p>
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<p>Phylogenetic analysis of YPHTV-1 based on the genome sequences. Phylogenetic trees were constructed using the ViPTree. All parameters were default except the analysis where the reference was “NO”.</p>
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<p>YPHTV-1 genome network analysis. Genomic network analysis was performed by vConTACT2, ClusterONE, and Cytoscape. The reference database was Prokaryotic Viral RefSeq211-Merged (last updated in June 2022), and virus clusters are shown as differently colored boxes. VC217 (orange box): most of the phages were infected with <span class="html-italic">Paenibacillus</span> and belonged to the <span class="html-italic">Fernvirus</span> genus of Caudoviricetes (green box in VC 217); VC173 (blue box): infected with <span class="html-italic">Bacillus</span> with no classification status determined; VC211 (purple box): belonged to <span class="html-italic">Halcyonevirus</span> genus of Caudoviricetes. The classification status of viruses was derived from the ICTV.</p>
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16 pages, 10203 KiB  
Article
Hyperoside as a UV Photoprotective or Photostimulating Compound—Evaluation of the Effect of UV Radiation with Selected UV-Absorbing Organic Compounds on Skin Cells
by Anna Moukova, Lukas Malina, Hana Kolarova and Robert Bajgar
Int. J. Mol. Sci. 2023, 24(12), 9910; https://doi.org/10.3390/ijms24129910 - 8 Jun 2023
Cited by 4 | Viewed by 2226
Abstract
Ultraviolet (UV) radiation is a non-ionizing radiation, which has a cytotoxic potential, and it is therefore necessary to protect against it. Human skin is exposed to the longer-wavelength components of UV radiation (UVA and UVB) from the sun. In the present paper, we [...] Read more.
Ultraviolet (UV) radiation is a non-ionizing radiation, which has a cytotoxic potential, and it is therefore necessary to protect against it. Human skin is exposed to the longer-wavelength components of UV radiation (UVA and UVB) from the sun. In the present paper, we focused on the study of eight organic UV-absorbing compounds: astragalin, beta-carotene, 2,4-dihydroxybenzophenone, 2-hydroxy-4-methoxybenzophenone, hyperoside, 3-(4-methylbenzylidene)camphor, pachypodol, and trans-urocanic acid, as possible protectives of skin cells against UVA and UVB radiation. Their protective effects on skin cell viability, ROS production, mitochondrial membrane potential, liposomal permeability, and DNA integrity were investigated. Only some of the compounds studied, such as trans-urocanic acid and hyperoside, had a significant effect on the examined hallmarks of UV-induced cell damage. This was also confirmed by an atomic force microscopy study of morphological changes in HaCaT cells or a study conducted on a 3D skin model. In conclusion, hyperoside was found to be a very effective UV-protective compound, especially against UVA radiation. Commonly used sunscreen compounds such as 2,4-dihydroxybenzophenone, 2-hydroxy-4-methoxybenzophenone, and 3-(4-methylbenzylidene)camphor turned out to be only physical UV filters, and pachypodol with a relatively high absorption in the UVA region was shown to be more phototoxic than photoprotective. Full article
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<p>Chemical structure of the analyzed UV-absorbing compounds: (<b>a</b>) 2,4-dihydroxybenzophenone; (<b>b</b>) 2-hydroxy-4-methoxybenzophenone; (<b>c</b>) 3-(4-methylbenzylidene)camphor; (<b>d</b>) trans-urocanic acid; (<b>e</b>) beta-carotene; (<b>f</b>) astragalin; (<b>g</b>) hyperoside; (<b>h</b>) pachypodol.</p>
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<p>Cytotoxicity of selected UV-absorbing compounds: (<b>a</b>) 2,4-dihydroxybenzophenone (DHBP, IC50 = 85 μM) and 2-hydroxy-4-methoxybenzophenone (HMBP, IC50 = 56 μM); (<b>b</b>) 3-(4-methylbenzylidene)camphor (4-MBC, IC50 = 28 μM) and trans-urocanic acid (t-UCA, IC50 = 1.1 mM); (<b>c</b>) beta-carotene (β-Car, IC50 = 7.3 μM) and astragalin (Ast, IC50 = 78 μM); (<b>d</b>) hyperoside (Hyp, IC50 &gt; 300 μM) and pachypodol (Pac, IC50 = 5.1 μM). Each value represents mean ± S.E. from 3 measurements.</p>
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<p>Relative changes in viability of HaCaT cells pre-treated with selected UV-absorbing compounds after exposure to UVA at a dose of 24 J/cm<sup>2</sup> (i.e., at 6.8 mW/cm<sup>2</sup> for 60 min) and UVB at a dose of 0.6 J/cm<sup>2</sup> (i.e., at 3.5 mW/cm<sup>2</sup> for 3 min): (<b>a</b>) 2,4-dihydroxybenzophenone (DHBP) and 2-hydroxy-4-methoxybenzophenone (HMBP); (<b>b</b>) 3-(4-methylbenzylidene)camphor (4-MBC) and trans-urocanic acid (t-UCA); (<b>c</b>) beta-carotene (β-Car) and astragalin (Ast); (<b>d</b>) hyperoside (Hyp) and pachypodol (Pac). The total yield of the MTT product by the control untreated cells was set as 100% viability. Each value represents mean ± S.E. from 3 measurements. * Significant difference compared to the sample without UV-absorbing compound (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Relative changes in viability of epidermis model EpiDerm pre-treated with 30 μM hyperoside (Hyp) or 100 μM trans-urocanic acid (tUA) after exposure to UVA (at 6.8 mW/cm<sup>2</sup>) and UVB (at 3.5 mW/cm<sup>2</sup>) radiation: (<b>a</b>) at the 18 h pre-incubation with the UV-absorbing compounds and following irradiation with UVA at a dose of 24 J/cm<sup>2</sup> or UVB at a dose of 3.1 J/cm<sup>2</sup> and evaluation of the viability after 18 h from irradiation; (<b>b</b>) at the 42-h pre-incubation with the UV-absorbing compounds and following irradiation with UVA at a dose of 36 J/cm<sup>2</sup> or UVB at a dose of 4.2 J/cm<sup>2</sup> and evaluation of the viability after 4 days from irradiation. Control samples without the presence of the compounds are marked as C. Each value represents mean ± S.E. from 3 measurements. * Significant difference compared to the sample without UV-absorbing compound (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>ROS production in HaCaT cells pre-treated with selected UV-absorbing compounds after exposure to UVA (at 24 J/cm<sup>2</sup>) and UVB (at 0.6 J/cm<sup>2</sup>) radiation: (<b>a</b>) 2,4-dihydroxybenzophenone (DHBP) and 2-hydroxy-4-methoxybenzophenone (HMBP); (<b>b</b>) 3-(4-methylbenzylidene)camphor (4-MBC) and trans-urocanic acid (t-UCA); (<b>c</b>) beta-carotene (β-Car) and astragalin (Ast); (<b>d</b>) hyperoside (Hyp) and pachypodol (Pac). Each value represents mean ± S.E. from 3 measurements. Control sample is a sample in the absence of the UV-absorbing compound and without irradiation. * Significant difference compared to the irradiated sample without UV-absorbing compound (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 5 Cont.
<p>ROS production in HaCaT cells pre-treated with selected UV-absorbing compounds after exposure to UVA (at 24 J/cm<sup>2</sup>) and UVB (at 0.6 J/cm<sup>2</sup>) radiation: (<b>a</b>) 2,4-dihydroxybenzophenone (DHBP) and 2-hydroxy-4-methoxybenzophenone (HMBP); (<b>b</b>) 3-(4-methylbenzylidene)camphor (4-MBC) and trans-urocanic acid (t-UCA); (<b>c</b>) beta-carotene (β-Car) and astragalin (Ast); (<b>d</b>) hyperoside (Hyp) and pachypodol (Pac). Each value represents mean ± S.E. from 3 measurements. Control sample is a sample in the absence of the UV-absorbing compound and without irradiation. * Significant difference compared to the irradiated sample without UV-absorbing compound (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Relative changes in mitochondrial membrane potential in HaCaT cells pre-treated with selected UV-absorbing compounds after exposure to UVA (at 24 J/cm<sup>2</sup>) and UVB (at 1.2 J/cm<sup>2</sup>) radiation: (<b>a</b>) 2,4-dihydroxybenzophenone (DHBP) and 2-hydroxy-4-methoxybenzophenone (HMBP); (<b>b</b>) 3-(4-methylbenzylidene)camphor (4-MBC) and trans-urocanic acid (t-UCA); (<b>c</b>) beta-carotene (β-Car) and astragalin (Ast); (<b>d</b>) hyperoside (Hyp) and pachypodol (Pac). Each value represents mean ± S.E. from 3 measurements. Control sample is a sample in the absence of the UV-absorbing compound and without irradiation. * Significant difference compared to the irradiated sample without UV-absorbing compound (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 6 Cont.
<p>Relative changes in mitochondrial membrane potential in HaCaT cells pre-treated with selected UV-absorbing compounds after exposure to UVA (at 24 J/cm<sup>2</sup>) and UVB (at 1.2 J/cm<sup>2</sup>) radiation: (<b>a</b>) 2,4-dihydroxybenzophenone (DHBP) and 2-hydroxy-4-methoxybenzophenone (HMBP); (<b>b</b>) 3-(4-methylbenzylidene)camphor (4-MBC) and trans-urocanic acid (t-UCA); (<b>c</b>) beta-carotene (β-Car) and astragalin (Ast); (<b>d</b>) hyperoside (Hyp) and pachypodol (Pac). Each value represents mean ± S.E. from 3 measurements. Control sample is a sample in the absence of the UV-absorbing compound and without irradiation. * Significant difference compared to the irradiated sample without UV-absorbing compound (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 7
<p>Determination of lysosomal membrane integrity in HaCaT cells pre-treated with selected UV-absorbing compounds after exposure to UVB (at 1.2 J/cm2) radiation: <b>(a)</b> 2,4-dihydroxybenzophenone (DHBP), 2-hydroxy-4-methoxybenzophenone (HMBP), 3-(4-methylbenzylidene)camphor (4-MBC), and trans-urocanic acid (t-UCA); <b>(b)</b> beta-carotene (β-Car), astragalin (Ast), hyperoside (Hyp), and pachypodol (Pac). Each value represents mean ± S.E. from 3 measurements. Control sample is a sample in the absence of the UV-absorbing compound and without irradiation. * Significant difference compared to the irradiated sample without UV-absorbing compound (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>DNA fragmentation in HaCaT cells pre-treated with selected UV-absorbing compounds after exposure to: (<b>a</b>,<b>b</b>) UVA radiation (at 36 J/cm<sup>2</sup>); (<b>c</b>,<b>d</b>) UVB radiation (at 1.7 J/cm<sup>2</sup>). DHBP is 2,4-dihydroxybenzophenone at 30 μM, HMBP is 2-hydroxy-4-methoxybenzophenone at 30 μM, 4-MBC is 3-(4-methylbenzylidene)camphor at 10 μM, t-UCA is trans-urocanic acid at 300 μM, β-Car is beta-carotene at 3 μM, Ast is astragalin at 100 μM, Hyp is hyperoside at 300 μM, and Pac is pachypodol at 3 μM. Each box plot represents the 10th-, 25th-, 50th-, 75th-, and 90th-percentile determined from approximately 100 cells in an average. Control sample is a sample in the absence of the UV-absorbing compound and without irradiation. * Significant difference compared to the irradiated sample without UV-absorbing compound (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Atomic force microscopy of HaCaT cells pre-treated with 50 μM hyperoside (Hyp) for 4 h after exposure to UVA (at 36 J/cm<sup>2</sup>) and UVB (at 1.7 J/cm<sup>2</sup>) radiation: (<b>a</b>) peak force error images; (<b>b</b>) height images; (<b>c</b>) statistical analysis of the diameter of the cells; (<b>d</b>) statistical analysis of the height of the cells. Each box plot represents the minimum, first quartile, median, third quartile, and maximum determined from 17–21 cells. * Significant difference compared to the sample without pre-treatment with hyperoside and exposure to UV radiation (<span class="html-italic">p</span> &lt; 0.05). Scans were acquired in a Peak Force tapping mode, at scan rate of 0.2–0.3 Hz, and image resolution of 256 × 256 pixels.</p>
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7 pages, 444 KiB  
Communication
Broadband UV Supercontinuum Generation by Three-Color Ionizing Laser Pulses
by Ivan Laryushin and Alexander Romanov
Photonics 2023, 10(4), 406; https://doi.org/10.3390/photonics10040406 - 5 Apr 2023
Cited by 1 | Viewed by 1393
Abstract
We theoretically investigated the properties of the ultraviolet secondary radiation generated under the action of three-color ionizing pulses obtained from parametric light generators. We show that the combination components in the spectrum of electron currents generated under the action of such three-color pulses [...] Read more.
We theoretically investigated the properties of the ultraviolet secondary radiation generated under the action of three-color ionizing pulses obtained from parametric light generators. We show that the combination components in the spectrum of electron currents generated under the action of such three-color pulses can form a strictly exponentially decreasing sequence. For moderately short pump pulse durations (30 fs at 800 nm main field) with the use of this effect, it is possible to generate a smooth broadband supercontinuum in the 800–100 nm range. Full article
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Figure 1

Figure 1
<p><math display="inline"><semantics> <mrow> <mi>d</mi> <mi mathvariant="bold">j</mi> <mo>/</mo> <mi>d</mi> <mi>t</mi> </mrow> </semantics></math> squared spectrum from three-color ionizing pulses with <math display="inline"><semantics> <msub> <mi>ω</mi> <mn>0</mn> </msub> </semantics></math> corresponding to <math display="inline"><semantics> <mrow> <msub> <mi>λ</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>800</mn> </mrow> </semantics></math> nm, <math display="inline"><semantics> <mrow> <msub> <mi>ω</mi> <mo>±</mo> </msub> <mo>=</mo> <msub> <mi>ω</mi> <mn>0</mn> </msub> <mo>/</mo> <mn>2</mn> <mo>±</mo> <mo>Δ</mo> <mi>ω</mi> </mrow> </semantics></math> with four different values of <math display="inline"><semantics> <mrow> <mo>Δ</mo> <mi>ω</mi> <mo>=</mo> <msub> <mi>ω</mi> <mn>0</mn> </msub> <mo>/</mo> <mn>6</mn> </mrow> </semantics></math> (<b>a</b>), <math display="inline"><semantics> <mrow> <mn>0.13</mn> <msub> <mi>ω</mi> <mn>0</mn> </msub> </mrow> </semantics></math> (<b>b</b>), <math display="inline"><semantics> <mrow> <mn>0.1</mn> <msub> <mi>ω</mi> <mn>0</mn> </msub> </mrow> </semantics></math> (<b>c</b>), and <math display="inline"><semantics> <mrow> <mn>0.06</mn> <msub> <mi>ω</mi> <mn>0</mn> </msub> </mrow> </semantics></math> (<b>d</b>). Intensities <math display="inline"><semantics> <mrow> <msub> <mi>I</mi> <mn>0</mn> </msub> <mo>=</mo> <msup> <mn>10</mn> <mn>15</mn> </msup> <mspace width="4pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mi>I</mi> <mo>−</mo> </msub> <mo>=</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="4pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math> are fixed, for blue lines <math display="inline"><semantics> <mrow> <msub> <mi>I</mi> <mo>+</mo> </msub> <mo>=</mo> <mn>2</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="4pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math>, for black lines <math display="inline"><semantics> <mrow> <msub> <mi>I</mi> <mo>+</mo> </msub> <mo>=</mo> <mn>5</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>13</mn> </msup> <mspace width="4pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math> and for red lines <math display="inline"><semantics> <mrow> <msub> <mi>I</mi> <mo>+</mo> </msub> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math>. All the phases are equal to 0, pulse duration <math display="inline"><semantics> <mrow> <msub> <mi>τ</mi> <mi>p</mi> </msub> <mo>=</mo> <mn>50</mn> </mrow> </semantics></math> fs. The inset to subplot (<b>c</b>) shows how the ratios between the amplitudes of different peaks depend on <math display="inline"><semantics> <msub> <mi>I</mi> <mo>+</mo> </msub> </semantics></math>: <math display="inline"><semantics> <mrow> <msub> <mi>a</mi> <mrow> <mn>2.8</mn> </mrow> </msub> <mo>/</mo> <msub> <mi>a</mi> <mn>3</mn> </msub> </mrow> </semantics></math> (solid line) and <math display="inline"><semantics> <mrow> <msub> <mi>a</mi> <mrow> <mn>3.2</mn> </mrow> </msub> <mo>/</mo> <msub> <mi>a</mi> <mn>3</mn> </msub> </mrow> </semantics></math> (dashed line), where <math display="inline"><semantics> <msub> <mi>a</mi> <mi>n</mi> </msub> </semantics></math> is the amplitude of the <math display="inline"><semantics> <mrow> <mi>d</mi> <mi mathvariant="bold">j</mi> <mo>/</mo> <mi>d</mi> <mi>t</mi> </mrow> </semantics></math> squared spectrum at <math display="inline"><semantics> <mrow> <mi>ω</mi> <mo>=</mo> <mi>n</mi> <msub> <mi>ω</mi> <mn>0</mn> </msub> </mrow> </semantics></math>. <math display="inline"><semantics> <msub> <mi>I</mi> <mn>0</mn> </msub> </semantics></math> and <math display="inline"><semantics> <msub> <mi>I</mi> <mo>−</mo> </msub> </semantics></math> are fixed at the same values as on the other curves.</p>
Full article ">Figure 2
<p><math display="inline"><semantics> <mrow> <mi>d</mi> <mi mathvariant="bold">j</mi> <mo>/</mo> <mi>d</mi> <mi>t</mi> </mrow> </semantics></math> squared spectrum from three-color ionizing pulses with <math display="inline"><semantics> <msub> <mi>ω</mi> <mn>0</mn> </msub> </semantics></math> corresponding to <math display="inline"><semantics> <mrow> <msub> <mi>λ</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>800</mn> </mrow> </semantics></math> nm, <math display="inline"><semantics> <mrow> <msub> <mi>ω</mi> <mo>±</mo> </msub> <mo>=</mo> <msub> <mi>ω</mi> <mn>0</mn> </msub> <mo>/</mo> <mn>2</mn> <mo>±</mo> <mo>Δ</mo> <mi>ω</mi> </mrow> </semantics></math> with two different values of <math display="inline"><semantics> <mrow> <mo>Δ</mo> <mi>ω</mi> <mo>=</mo> <msub> <mi>ω</mi> <mn>0</mn> </msub> <mo>/</mo> <mn>6</mn> </mrow> </semantics></math> (<b>a</b>,<b>c</b>) and <math display="inline"><semantics> <mrow> <msub> <mi>ω</mi> <mn>0</mn> </msub> <mo>/</mo> <mn>10</mn> </mrow> </semantics></math> (<b>b</b>,<b>d</b>) and two different values of phases <math display="inline"><semantics> <mrow> <msub> <mi>φ</mi> <mo>+</mo> </msub> <mo>=</mo> <msub> <mi>φ</mi> <mo>−</mo> </msub> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> (<b>a</b>,<b>b</b>) and <math display="inline"><semantics> <mrow> <msub> <mi>φ</mi> <mo>+</mo> </msub> <mo>=</mo> <msub> <mi>φ</mi> <mo>−</mo> </msub> <mo>=</mo> <mi>π</mi> <mo>/</mo> <mn>3</mn> </mrow> </semantics></math> (<b>c</b>,<b>d</b>). Intensities <math display="inline"><semantics> <mrow> <msub> <mi>I</mi> <mn>0</mn> </msub> <mo>=</mo> <msup> <mn>10</mn> <mn>15</mn> </msup> <mspace width="4pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mi>I</mi> <mo>+</mo> </msub> <mo>=</mo> <msub> <mi>I</mi> <mo>−</mo> </msub> <mo>=</mo> <mn>2</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="4pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math>. Blue lines correspond to pulse duration <math display="inline"><semantics> <mrow> <msub> <mi>τ</mi> <mi>p</mi> </msub> <mo>=</mo> <mn>20</mn> </mrow> </semantics></math> fs, dashed black lines to <math display="inline"><semantics> <mrow> <msub> <mi>τ</mi> <mi>p</mi> </msub> <mo>=</mo> <mn>30</mn> </mrow> </semantics></math> fs.</p>
Full article ">Figure 3
<p><math display="inline"><semantics> <mrow> <mi>d</mi> <mi mathvariant="bold">j</mi> <mo>/</mo> <mi>d</mi> <mi>t</mi> </mrow> </semantics></math> squared spectrum from one-color (black dashed line), two-color (red and orange lines) and three-color (blue line) ionizing pulses with <math display="inline"><semantics> <msub> <mi>ω</mi> <mn>0</mn> </msub> </semantics></math> corresponding to <math display="inline"><semantics> <mrow> <msub> <mi>λ</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>800</mn> </mrow> </semantics></math> nm, <math display="inline"><semantics> <mrow> <msub> <mi>ω</mi> <mo>±</mo> </msub> <mo>=</mo> <msub> <mi>ω</mi> <mn>0</mn> </msub> <mo>/</mo> <mn>2</mn> <mo>±</mo> <mo>Δ</mo> <mi>ω</mi> </mrow> </semantics></math> with <math display="inline"><semantics> <mrow> <mo>Δ</mo> <mi>ω</mi> <mo>=</mo> <msub> <mi>ω</mi> <mn>0</mn> </msub> <mo>/</mo> <mn>10</mn> </mrow> </semantics></math>. The pulse intensities are chosen so that the degree of gas ionization is approximately the same: <math display="inline"><semantics> <mrow> <msub> <mi>I</mi> <mn>0</mn> </msub> <mo>=</mo> <msup> <mn>10</mn> <mn>15</mn> </msup> <mspace width="4pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mi>I</mi> <mo>+</mo> </msub> <mo>=</mo> <msub> <mi>I</mi> <mo>−</mo> </msub> <mo>=</mo> <mn>2</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="4pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math> (blue line); <math display="inline"><semantics> <mrow> <msub> <mi>I</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>1.5</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>15</mn> </msup> <mspace width="4pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mi>I</mi> <mo>±</mo> </msub> <mo>=</mo> <mn>2</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>14</mn> </msup> <mspace width="4pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mi>I</mi> <mo>∓</mo> </msub> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> (red and orange lines, respectively); <math display="inline"><semantics> <mrow> <msub> <mi>I</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>2</mn> <mo>×</mo> <msup> <mn>10</mn> <mn>15</mn> </msup> <mspace width="4pt"/> <mi mathvariant="normal">W</mi> <mo>/</mo> <msup> <mi>cm</mi> <mn>2</mn> </msup> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mi>I</mi> <mo>+</mo> </msub> <mo>=</mo> <msub> <mi>I</mi> <mo>−</mo> </msub> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> (black dashed line). Pulse duration <math display="inline"><semantics> <mrow> <msub> <mi>τ</mi> <mi>p</mi> </msub> <mo>=</mo> <mn>20</mn> </mrow> </semantics></math> fs, phases <math display="inline"><semantics> <mrow> <msub> <mi>φ</mi> <mo>±</mo> </msub> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math>.</p>
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