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Notch Signaling Plays an Important Role in mTEC Specification during Fetal Thymus Development

Published: 20 August 2017 Publication History

Abstract

Thymic epithelial cells (TECs) are a vital element of the thymic microenvironments that direct T cell differentiation and repertoire selection, and are thus indispensable for development of a functional immune system. TECs are thought to derive from a bipotent thymic epithelial progenitor cell (TEPC) that differentiates into the functionally distinct cortical (c) and medullary (m) TEC sub-lineages. TEC differentiation is orchestrated by the transcription factor FOXN1. However, the precise mechanisms regulating TEC differentiation, and divergence of the cTEC and mTEC sub-lineages is not yet understood. Here, we have used bioinformatics analysis in conjunction with experimental validation to investigate the molecular regulation of the early development and specification of the thymic epithelium. Our data demonstrate an important role for Notch signaling pathway in mTEC specification during fetal thymus development.

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cover image ACM Conferences
ACM-BCB '17: Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics
August 2017
800 pages
ISBN:9781450347228
DOI:10.1145/3107411
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 August 2017

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Author Tags

  1. cell fate regulation
  2. differentiation
  3. lineage divergence
  4. notch signaling
  5. progenitor cell
  6. stem cell
  7. thymic epithelial cell
  8. thymus

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BCB '17
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ACM-BCB '17 Paper Acceptance Rate 42 of 132 submissions, 32%;
Overall Acceptance Rate 254 of 885 submissions, 29%

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