Europe PMC
Nothing Special   »   [go: up one dir, main page]

Europe PMC requires Javascript to function effectively.

Either your web browser doesn't support Javascript or it is currently turned off. In the latter case, please turn on Javascript support in your web browser and reload this page.

This website requires cookies, and the limited processing of your personal data in order to function. By using the site you are agreeing to this as outlined in our privacy notice and cookie policy.

Abstract 


In eukaryotes transcriptional regulation often involves multiple long-range elements and is influenced by the genomic environment. A prime example of this concerns the mouse X-inactivation centre (Xic), which orchestrates the initiation of X-chromosome inactivation (XCI) by controlling the expression of the non-protein-coding Xist transcript. The extent of Xic sequences required for the proper regulation of Xist remains unknown. Here we use chromosome conformation capture carbon-copy (5C) and super-resolution microscopy to analyse the spatial organization of a 4.5-megabases (Mb) region including Xist. We discover a series of discrete 200-kilobase to 1 Mb topologically associating domains (TADs), present both before and after cell differentiation and on the active and inactive X. TADs align with, but do not rely on, several domain-wide features of the epigenome, such as H3K27me3 or H3K9me2 blocks and lamina-associated domains. TADs also align with coordinately regulated gene clusters. Disruption of a TAD boundary causes ectopic chromosomal contacts and long-range transcriptional misregulation. The Xist/Tsix sense/antisense unit illustrates how TADs enable the spatial segregation of oppositely regulated chromosomal neighbourhoods, with the respective promoters of Xist and Tsix lying in adjacent TADs, each containing their known positive regulators. We identify a novel distal regulatory region of Tsix within its TAD, which produces a long intervening RNA, Linx. In addition to uncovering a new principle of cis-regulatory architecture of mammalian chromosomes, our study sets the stage for the full genetic dissection of the X-inactivation centre.

Free full text 


Logo of nihpaLink to Publisher's site
Nature. Author manuscript; available in PMC 2013 Jan 25.
Published in final edited form as:
PMCID: PMC3555144
NIHMSID: NIHMS433490
PMID: 22495304

Spatial partitioning of the regulatory landscape of the X-inactivation center

Summary

The mouse X-inactivation center (Xic) orchestrates initiation of X inactivation by controlling the expression of the non-coding Xist transcript. The full extent of Xist’s regulatory landscape remains to be defined however. Here we use Chromosome Conformation Capture Carbon-Copy and super-resolution microscopy to analyse the spatial organisation of a 4.5Mb region including Xist. We uncover a series of discrete 200kb-1Mb topologically associating domains (TADs), present both before and after cell differentiation and on the active and inactive X. These domains align with several domain-wide epigenomic features as well as co-regulated gene clusters. Disruption of a TAD boundary causes ectopic chromosomal contacts and long-range transcriptional mis-regulation. Xist/Tsix illustrates the spatial segregation of oppositely regulated chromosomal neighborhoods, with their promoters lying in two adjacent TADs, each containing their known positive regulators. This led to the identification of a distal regulatory region of Tsix producing a novel long intervening RNA, Linx, within its TAD. In addition to uncovering a new principle of the cis-regulatory architecture of mammalian chromosomes, our study sets the stage for the full genetic dissection of the Xic.

In eukaryotes transcriptional regulation often involves multiple long-range elements and is influenced by the genomic environment1. A prime example of complex cis-regulation concerns the control of Xist expression by the X-inactivation center (Xic). The Xic has been defined by deletions and translocations as a region spanning several megabases2,3. However the extent of Xic sequences required for proper Xist regulation and X-chromosome inactivation (XCI) initiation remain unknown. Several elements in the vicinity of Xist are known to affect its activity, including the repressive antisense transcript Tsix and its regulators Xite, DXPas34 and Tsx4,5. However, additional control elements must exist, as single-copy transgenes encompassing Xist and up to 460kb of flanking sequences are unable to recapitulate proper Xist regulation6. To characterise the cis-regulatory landscape of the Xic in an unbiased approach, we performed Chromosome Conformation Capture Carbon Copy (5C)7 across a 4.5Mb region containing Xist.

We designed 5C-Forward and 5C-Reverse oligonucleotides following an alternating scheme7, thereby simultaneously interrogating nearly 250,000 possible chromosomal contacts in parallel, with a mean resolution of 10–20 kb (Fig. 1a; see Methods). Analysis of undifferentiated mouse ES cells (mESCs) revealed that long-range (>50kb) contacts preferentially occur within a series of discrete genomic blocks, each covering 0.2–1Mb (Fig. 1b). These blocks differ from the higher-order organisation recently observed by Hi-C8, corresponding to much larger domains of open or closed chromatin, that come together in the nucleus to form A and B-types of compartments8. Instead, our 5C analysis reveals self-associating chromosomal domains occurring at the sub-megabase scale. The size and location of these domains is identical in male and female mESCs (Supplementary Fig. 1) and in different mESC lines (Supplementary Fig. 2, Supplementary data 1).

An external file that holds a picture, illustration, etc.
Object name is nihms433490f1.jpg
Chromosome partitioning into topologically assocating domains (TADs)

a, Distribution of 5C-Forward and 5C-Reverse HindIII restriction fragments across the 4.5 Mb analysed showing positions of RefSeq Genes and known XCI regulatory loci. b, 5C datasets from XY undifferentiated mESCs (E14), displaying median counts in 30kb windows every 6kb. Chromosomal contacts are organised into discrete genomic blocks (TADs A-F). A region containing segmental duplications excluded from the 5C analysis is masked (white). c, Positions of DNA FISH probes. d, Interphase nuclear distances are smaller for probes in the same 5C domain. e, Structured illumination microscopy reveals that colocalisation of neighbouring sequences is greater when they belong to the same 5C domain. Boxplots display the distribution of Pearson correlation coefficient between red and green channels, with whiskers and boxes encompassing all and 50% of values respectively; central bars denote the median correlation coefficient. Statistical significance was assessed using Wilcoxon’s rank-sum test.

We explored this organisation using 3D DNA FISH in male mESCs. Nuclear distances were significantly shorter between probes lying in the same 5C domain than in different domains (Fig 1c and d) and a strong correlation was found between 3D distances and 5C counts (Supplementary Fig. 3a and b). Furthermore, using pools of tiled BAC probes spanning up to 1Mb with structured illumination microscopy, we found that large DNA segments belonging to the same 5C domain colocalise to a greater extent than DNA segments located in adjacent domains (Fig. 1e), and this throughout the cell cycle (Supplementary Fig. 3c and d). Based on 5C and FISH data, we conclude that chromatin folding at the sub-megabase scale is not random, and partitions this chromosomal region into a succession of topologically associating domains (TADs).

We next investigated what might drive chromatin folding in TADs. We first noticed a striking alignment between TADs and the large blocks of H3K27me3 and H3K9me29 that are known to exist throughout the mammalian genomes10,11,12,13 (e.g. TAD #E, Fig. 2 and Supplementary Fig. 4). We therefore examined 5C profiles of G9a−/ − mESCs, which lack H3K9me2, notably at the Xic14, and Eed−/− mESCs which lack H3K27me315. No obvious change in overall chromatin conformation was observed, and TADs were not affected either in size or position in these mutants (Fig. 2, Supplementary Fig. 4b). Thus TAD formation is not due to domain-wide H3K27me3 or H3K9me2 enrichment. Instead, such segmental chromatin blocks might actually be delimited by the spatial partitioning of chromosomes into TADs.

An external file that holds a picture, illustration, etc.
Object name is nihms433490f2.jpg
Determinants of topologically associating domains

a, Blocks of contiguous enrichment in H3K27me3 or H3K9me211 align with the position of TADs (Chip-chip from9) but TADs are largely unaffected in the absence of H3K9me2 in male G9a−/ − cells or H3K27me3 or in male Eed−/ − cells. b, Deletion of a boundary at Xist/Tsix disrupts folding pattern of the two neighboring TADs.

We then addressed whether folding in TADS is driven by discrete boundary elements at their borders. 5C was performed in a mESC line carrying a 58kb deletion (ΔXTX16) encompassing the boundary between the Xist and Tsix TADs (#D and #E; Fig. 2b). We observed ectopic contacts between sequences in TADs #D and #E and an altered organisation of TAD #E. Boundary elements can thus mediate the spatial segregation of neighboring chromosomal segments. Within the TAD #D-#E boundary, a CTCF site was recently implicated in insulating Tsix from remote regulatory influences17. However, alignment of CTCF and Cohesin binding sites in mESCs18 with our 5C data revealed that although these factors are present at most TAD boundaries (Supplementary Fig. 4), they are also frequently present within TADs, excluding them as the sole determinants of TAD positioning. Furthermore, the fact that the two neighboring domains do not merge completely in ΔXTX cells (Fig. 2b) implies that additional elements, within TADs, can be usurped when a main boundary is removed. The factors underlying an element’s capacity to act as a canonical or shadow boundary remain to be investigated.

Next we asked whether TAD organisation changes during differentiation or XCI. Both male neuronal progenitors (NPCs) and male primary mouse embryonic fibroblasts (MEFs) show similar organisation to mESCs, with no obvious change in TAD positioning. However, consistent differences in the internal contacts within TADs were observed (Fig.3a, Supplementary Fig. 2). Noticeably, some TADs were found to become lamina-associated domains (LADs)19 at certain developmental stages (Fig. 3b). Thus chromosome segmentation into TADs reveals a modular framework where changes in chromatin structure or nuclear positioning can occur in a domain-wide fashion during development.

An external file that holds a picture, illustration, etc.
Object name is nihms433490f3.jpg
Dynamics of topologically associating domains during cell differentiation

a. Comparison of 5C data from male mESCs (E14), NPCs (E14) and primary MEFs reveals general conservation of TAD positions during differentiation, but differences in their internal organisation (arrows highlight examples of tissue-specific patterns). b Lamina associated domains (LADs, from ref.19) align with TADs. Chromosomal positions of tissue-specific LADs reflect gain of lamina association by TADs, as well as internal reorganisation of lamina associated TADs during differentiation.

We then assessed TAD organisation on the inactive X (Xi), by first combining Xist RNA FISH, to identify the Xi, and super-resolution DNA FISH using BAC probe pools (as in Fig. 1e) on female MEFs. We found that colocalisation indices on the Xi were still higher for sequences belonging to the same TAD than to neighbouring TADs. The difference was however significantly lower for the Xi than for the Xa (Supplementary Fig. 5). Similarly, deconvolution of the respective contributions of the Xa and Xi from 5C data female MEFs (see methods, Supplementary Fig. 5) revealed that specific long-range contacts within TADs are lost on the Xi, but global TAD organisation remains, albeit it in a much attenuated form. This, together with a recent report focused on longer-range interactions20, suggests that the Xi has a more random chromosomal organisation than its active homolog.

We next investigated how TAD organisation relates to gene expression dynamics during early differentiation. A transcriptome analysis, consisting of microarray measurements at 17 time points over the first 84 hours of female mESC differentiation was performed (Fig. 6a). During this time window, most genes in the 5C region were either up- or down-regulated. Statistical analysis demonstrated that expression profiles of genes with promoters located within the same TAD are correlated (Fig. 4b). This correlation is significantly higher than for genes in different domains (correlation coefficient of 0.03, p<10−9) or for genes across the X chromosome in randomly selected, TAD-size regions (correlation coefficient of 0.09, p<10 −7 ). The observed correlations within TADs seems not to depend on distance between genes, and is thus distinct from previously described correlations between neighbouring genes21 which decay on a length scale of ~100kb (Supplementary Fig. 6). Our findings suggest that physical clustering within TADs may be used to coordinate gene expression patterns during development. Furthermore, deletion of a boundary (ΔXTX) was accompanied by long-range transcriptional mis-regulation (Supplementary Fig.7), supporting a role for chromosome partitioning into TADs in long-range transcriptional control.

An external file that holds a picture, illustration, etc.
Object name is nihms433490f4.jpg
Transcriptional co-regulation within topologically associating domains

a, Female mESCs were differentiated towards epiblast stem cell lineage for 84 hours. Transcript levels were measured every 4–6 hours at 17 different time points by mircoarray analysis. b, Pearson’s correlation 15 coefficients over all time points were calculated for (1) gene pairs lying in the same TAD, (2) pairs in different TADs and (3) for pairs in randomly defined domains on the X-chromosome that contain a similar number of genes and are of comparable size. Box plots display the distribution of Pearson’s correlation coefficients, with whiskers and boxes encompassing all and 50% of values respectively, and central bars denoting the median correlation coefficient. * represents significant difference with p<10−7 using Wilcoxon’s ranksum test. c, Pearson’s correlation coefficients for gene pairs in TADs #D, #E and #F with red denoting positive and blue negative correlation. Boxes indicate the TAD boundaries.

A more detailed analysis of each domain (Supplementary Fig. 6) revealed that co-expression is particularly pronounced in TADs #D #E and #F (Fig. 4b and c). Although correlations are strongest within TADs, there is some correlation between TADs showing the same trend, such as TADs #D and #F, which are both down-regulated during differentiation. Only TAD #E, which contains Xist and all of its known positive regulators (Jpx, Ftx, Xpr, Rnf12, supplementary Fig. 4d)22 is anti-correlated with most other genes in the 4.5 Mb region, being up-regulated during differentiation (Supplementary Fig. 4c). The fact that these coordinately up-regulated loci are located in the same TAD suggests that they are integrated into a similar cis-regulatory network, potentially sharing common cis-regulatory elements. We therefore predict that TAD #E (~550kb) represents the minimum 5′ regulatory region required for accurate Xist expression, explaining why even the largest transgenes tested so far (covering 150kb 5′ to Xist, Fig. 5) cannot recapitulate normal Xist expression6.

An external file that holds a picture, illustration, etc.
Object name is nihms433490f5.jpg
5C maps reveal new regulatory regions in the Xic

(a) 5C maps at the restriction fragment resolutions (male E14 mESCs) show that Tsix and Xist promoters belong to two distinct neighbouring TADs, respectively spanning >200kb and >550kb (male E14 mESCs). b, Corresponding statistically significant looping events (5C peaks) for restriction fragments within Xite, Tsix promoter or Xist promoter within their respective TAD. The Tg80 YAC transgene lacks genomic elements found to interact physically with Xite/Tsix that are present in Tg53. c, RNA FISH analysis of Tsix Tsix expression is detected in the inner cell masses of heterozygous transgenic male E4.0 embryos by RNA FISH from single-copy paternally inherited Tg53 but not Tg80 transgenes. Transgenic (star) and endogenous Tsix alleles (arrowhead) were discriminated by subsequent DNA FISH as in supplementary Fig. 5. n=20 ICM cells (2 embryos each). d, Linx transcripts (green, wi1–1985N4 probe) are expressed in both E4.0 ICM cells and mESCs, together with Tsix (red, DXPas34 probe), and unspliced transcripts accumulate locally in a characteristic cloud-like shape. e, RNA FISH in differentiating female mESCs revealing synchronous downregulation of Linx and Tsix with concomitant up-regulation of Xist (detected with a strand-specific probe). Barrs are the standard deviation around the mean of three experiments. f, Triple-color RNA FISH allowing simultaneous detection of Linx, Tsix and Xist RNAs. Scoring of Xist-negative alleles demonstrates that prior to Xist up-regulation Tsix expression is more frequent from Linx-expressing alleles than from Linx non-expressing alleles, at all time-points tested. Presented is the mean of three experiments. Statistical differences were assessed using Fisher’s exact test. Cells were differentiated in monolayers by LIF withdrawal.

The Xist and Tsix promoters lie in two neighbouring TADs with transcription crossing the intervening boundary (Fig. 2b), consistent with previous 3C experiments22. While the Xist promoter and its positive regulators are located in TAD#E, the promoter of its antisense repressor, Tsix, lies in TAD#D, which extends up to Ppnx/Nap1L2, >200kb away (Fig. 2b). Thus, in addition to the Xite enhancer, more distant elements within TAD #D may participate in Tsix regulation. To test this we used two different single-copy transgenic mouse lines, Tg53 and Tg8023. Both transgenes contain Xist, Tsix and Xite (Fig. 5a). Tg53 encompasses the whole of TAD #D, while Tg80 is truncated just 5′ to Xite (Fig. 5a; Supplementary Fig. 8). In the inner cell mass (ICM) of male E4.0 mouse embryos, Tsix transcripts could be readily detected from Tg53, as well as from the endogenous X (Fig. 5b). However, no Tsix expression could be detected from Tg80, which lacks the distal portion of TAD #D (Fig. 5b). Thus, sequences within TAD#D must contain essential elements for the correct developmental regulation of Tsix.

Within TAD#D, several significant chromosomal looping events involving the Tsix promoter and its enhancer Xite were detected (Fig. 2a and and5a,5a, Supplementary Fig. 9). Alignment of 5C maps with enhancer signatures (Supplementary Fig. 8), suggested the existence of multiple regulatory elements within this region. We also identified a transcript initiating ~50kb upstream of the Ppnx promoter (Fig. 5a), from a region associated with pluripotency factor binding and corresponding to a predicted promoter for a large (80kb) intervening non-coding RNA (LincRNA24, Supplementary Fig.9) which we termed Linx (Large INtervening transcript in the Xic). Linx RNA shares several features with ncRNAs, such as accumulation around its transcription site25 (Fig. 5c), nuclear enrichment and abundance of the unspliced form26 (Supplementary Fig.11 and 12). Linx and Tsix transcripts are co-expressed in the ICM of blastocysts from E3.5–4.0 onwards, as well as in male and female mESCs (Fig. 5c). Linx RNA is not detected earlier on in embryogenesis, nor in extra-embryonic lineages, implying an epiblast-specific function (Supplementary Fig. 8). Triple RNA FISH for Linx, Tsix and Xist in differentiating female mESCs (Supplementary Fig. 13) revealed that prior to Xist up-regulation, the probability of Tsix expression from alleles co-expressing Linx is significantly higher than from alleles that do not express Linx (Fig. 5d). Furthermore, Linx expression is frequently monoallelic, even prior to Xist up-regulation (Supplementary Figure 13), revealing a transcriptional asymmetry of the two Xic alleles prior to XCI. Taken together, our experiments based on 5C, transgenesis and RNA FISH, point towards a role for Linx in the long-range transcriptional regulation of Tsix – either through its chromosomal association with Xite and/or via the RNA it produces. This analysis of the Xist/Tsix region illustrates how the spatial compartmentalisation of chromosomal neighborhoods partitions the Xic into two large regulatory domains, with opposite transcriptional fates (Supplementary Fig. 12).

In conclusion, our study uncovers that sub-megabase folding of mammalian chromosomes results in the self-association of large chromosomal neighborhoods The stability of these TADs throughout differentiation, X-inactivation and in cell lines with impaired histone-modifying machineries suggests that this level of chromosome organisation may provide a basic framework onto which other domain-wide features, such as lamina association and blocks of histone modification, can be dynamically overlaid. Our data also point to a role for TADs in shaping regulatory landscapes, by defining the extent of sequences that belong to the same regulatory neighborhood. We anticipate that TADs may underlie previously proposed regulatory domains based on functional and synteny conservation studies27,28. We believe that the principles we have revealed here will not be restricted to the Xic, as spatial partitioning of chromosomal neighborhoods occurs throughout the genome of mouse and human (see Dixon et al. in this issue of Nature), as well as Drosophila29 and E. coli30,. Future work will clarify the mechanisms driving this level of chromosomal organisation, and to what extent it generally contributes to transcriptional regulation. In summary, our study provides new insight into the cis-regulatory architecture of chromosomes that orchestrates transcriptional dynamics during development, and paves the way to dissecting the constellation of control elements of Xist and its regulators within the Xic.

Supplementary Material

supplemental figures

Acknowledgments

We thank T. Pollex and T. Forné for experimental help; the imaging facility PICTIBiSA@BDD for technical assistance, D. Gentien and C. Hego from the Institut Curie for microarray hybridisations. We thank K. Bernhard, F. Stewart and A. Smith, who in the context of the EU FP7 SYBOSS (Grant No. 242129) provided protocols and material for 2i culture and EpiSC differentiation. We are grateful to members of EH laboratory for critical input. This work was funded by grants from the Ministère de la Recherche et de l’Enseignement Supérieur and the ARC (to EN); a HFSP Long term fellowship (LT000597/2010-L) (to EGS). EU EpiGeneSys FP7 Network of Excellence no. 257082, the Fondation pour la Recherche Medicale, ANR and ERC Advanced Investigator award no. 250367 (to EH). N.B. was supported by BMBF (FORSYS) and EMBO (fellowship ASTF 307-2011). JD, BRL and NvB were supported by NIH (R01 HG003143) and a W.M. Keck Foundation Distinguished Young Scholar Award.

Footnotes

Author information

High-throughput data are deposited in Gene Expression Omnibus under accession number GSE35721 for all 5C experiments and GSE34243 for microarray data. Correspondence should be addressed to EH (rf.eiruc@draeh.htide) or JD (ude.demssamu@rekked.boj).

Author contributions

EN, JD and EH designed the study and EN, EH and EGS wrote the manuscript with input from all authors, particularly LG. EN performed and analysed 3C, 5C, (RT-)qPCR, immunofluorescence, RNA and DNA FISH. BRL and NvB helped in the design and/or the analysis of 3C and 5C. LG performed 3C, FISH and 5C analysis. EGS generated the time-course transcriptomic data, which was analysed by JM and NB. IO performed FISH on pre-implantation embryos. JG donated the XTX mESC line. NS and EB helped in the epigenomic and 5C analyses. JS and TP set up OMX microscopy and analysis and TP performed structured illumination microscopy and image analysis.

References

1. Kleinjan DA, Lettice LA. Long-range gene control and genetic disease. Advances in Genetics. 2008;61:339–388. [Abstract] [Google Scholar]
2. Rastan S. Non-random X-chromosome inactivation in mouse X-autosome translocation embryos--location of the inactivation centre. J Embryol Exp Morphol. 1983;78:1–22. [Abstract] [Google Scholar]
3. Rastan S, Robertson EJ. X-chromosome deletions in embryo-derived (EK) cell lines associated with lack of X-chromosome inactivation. J Embryol Exp Morphol. 1985;90:379–388. [Abstract] [Google Scholar]
4. Augui S, Nora EP, Heard E. Regulation of X-chromosome inactivation by the X-inactivation centre. Nat Rev Genet. 2011;12:429–442. [Abstract] [Google Scholar]
5. Anguera MC, et al. Tsx Produces a Long Noncoding RNA and Has General Functions in the Germline, Stem Cells, and Brain. PLoS Genet. 2011;7:e1002248. [Europe PMC free article] [Abstract] [Google Scholar]
6. Heard E, Mongelard F, Arnaud D, Avner P. Xist yeast artificial chromosome transgenes function as X-inactivation centers only in multicopy arrays and not as single copies. Molecular and cellular biology. 1999;19:3156. [Europe PMC free article] [Abstract] [Google Scholar]
7. Dostie J, et al. Chromosome Conformation Capture Carbon Copy (5C): A massively parallel solution for mapping interactions between genomic elements. Genome Research. 2006;16:1299–1309. [Europe PMC free article] [Abstract] [Google Scholar]
8. Lieberman-Aiden E, et al. Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genome. Science. 2009;326:289–293. [Europe PMC free article] [Abstract] [Google Scholar]
9. Marks H, et al. High-resolution analysis of epigenetic changes associated with X inactivation. Genome Research. 2009;19:1361–1373. [Europe PMC free article] [Abstract] [Google Scholar]
10. Pauler FM, et al. H3K27me3 forms BLOCs over silent genes and intergenic regions and specifies a histone banding pattern on a mouse autosomal chromosome. Genome Research. 2009;19:221–233. [Europe PMC free article] [Abstract] [Google Scholar]
11. Wen B, Wu H, Shinkai Y, Irizarry RA, Feinberg AP. Large histone H3 lysine 9 dimethylated chromatin blocks distinguish differentiated from embryonic stem cells. Nat Genet. 2009;41:246–250. [Europe PMC free article] [Abstract] [Google Scholar]
12. Lienert F, et al. Genomic Prevalence of Heterochromatic H3K9me2 and Transcription Do Not Discriminate Pluripotent from Terminally Differentiated Cells. PLoS Genet. 2011;7:e1002090. [Europe PMC free article] [Abstract] [Google Scholar]
13. Hawkins RD, et al. Distinct epigenomic landscapes of pluripotent and lineage-committed human cells. Cell Stem Cell. 2010;6:479–491. [Europe PMC free article] [Abstract] [Google Scholar]
14. Rougeulle C, et al. Differential histone H3 Lys-9 and Lys-27 methylation profiles on the X chromosome. Molecular and cellular biology. 2004;24:5475. [Europe PMC free article] [Abstract] [Google Scholar]
15. Montgomery ND, et al. The murine polycomb group protein Eed is required for global histone H3 lysine-27 methylation. Curr Biol. 2005;15:942–947. [Abstract] [Google Scholar]
16. Monkhorst K, Jonkers I, Rentmeester E, Grosveld F, Gribnau J. X Inactivation Counting and Choice Is a Stochastic Process: Evidence for Involvement of an X-Linked Activator. Cell. 2008;132:410–421. [Abstract] [Google Scholar]
17. Spencer RJ, et al. A Boundary Element Between Tsix and Xist Binds the Chromatin Insulator Ctcf and Contributes to Initiation of X Chromosome Inactivation. Genetics. 2011 10.1534/genetics.111.132662. [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
18. Kagey MH, et al. Mediator and cohesin connect gene expression and chromatin architecture. Nature. 2010;467:430–435. [Europe PMC free article] [Abstract] [Google Scholar]
19. Peric-Hupkes D, et al. Molecular Maps of the Reorganization of Genome-Nuclear Lamina Interactions during Differentiation. Molecular Cell. 2010;38:603–613. [Abstract] [Google Scholar]
20. Splinter E, et al. The inactive X chromosome adopts a unique three-dimensional conformation that is dependent on Xist RNA. Genes & Development. 2011 10.1101/gad.633311. [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
21. Caron H, et al. The Human Transcriptome Map: Clustering of Highly Expressed Genes in Chromosomal Domains. Science. 2001;291:1289–1292. [Abstract] [Google Scholar]
22. Tsai CL, Rowntree RK, Cohen DE, Lee JT. Higher order chromatin structure at the X-inactivation center via looping DNA. Developmental Biology. 2008;319:416–425. [Europe PMC free article] [Abstract] [Google Scholar]
23. Heard E, et al. Transgenic mice carrying an Xist-containing YAC. Human molecular genetics. 1996;5:441. [Abstract] [Google Scholar]
24. Guttman M, et al. Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals. Nature. 2009;458:223–227. [Europe PMC free article] [Abstract] [Google Scholar]
25. Khalil AM, et al. Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expression. Proceedings of the National Academy of Sciences. 2009;106:11667. [Europe PMC free article] [Abstract] [Google Scholar]
26. Seidl CIM, Stricker SH, Barlow DP. The imprinted Air ncRNA is an atypical RNAPII transcript that evades splicing and escapes nuclear export. EMBO J. 2006;25:3565–3575. [Europe PMC free article] [Abstract] [Google Scholar]
27. Ruf S, et al. Large-scale analysis of the regulatory architecture of the mouse genome with a transposon-associated sensor. Nat Genet. 2011;43:379–386. [Abstract] [Google Scholar]
28. Kikuta H, et al. Genomic regulatory blocks encompass multiple neighboring genes and maintain conserved synteny in vertebrates. Genome Research. 2007;17:545–555. [Europe PMC free article] [Abstract] [Google Scholar]
29. Sexton T, et al. Three-Dimensional Folding and Functional Organization Principles of the Drosophila Genome. Cell. 2012;148:458–472. [Abstract] [Google Scholar]
30. Mercier R, et al. The MatP/matS Site-Specific System Organizes the Terminus Region of the E. coli Chromosome into a Macrodomain. Cell. 2008;135:475–485. [Abstract] [Google Scholar]

Citations & impact 


Data 


Data behind the article

This data has been text mined from the article, or deposited into data resources.

Similar Articles 


To arrive at the top five similar articles we use a word-weighted algorithm to compare words from the Title and Abstract of each citation.

Funding 


Funders who supported this work.

European Commission FP7 (3)

European Research Council (1)

NHGRI NIH HHS (1)