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Computational Promoter Modeling Identifies the Modes of Transcriptional Regulation in Hematopoietic Stem Cells
Extrinsic and intrinsic regulators are responsible for the tight control of hematopoietic stem cells (HSCs), which differentiate into all blood cell lineages. To understand the fundamental basis of HSC biology, we focused on differentially expressed genes (DEGs) in long-term and short-term HSCs, whi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3977923/ https://www.ncbi.nlm.nih.gov/pubmed/24710559 http://dx.doi.org/10.1371/journal.pone.0093853 |
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author | Park, Sung-Joon Umemoto, Terumasa Saito-Adachi, Mihoko Shiratsuchi, Yoshiko Yamato, Masayuki Nakai, Kenta |
author_facet | Park, Sung-Joon Umemoto, Terumasa Saito-Adachi, Mihoko Shiratsuchi, Yoshiko Yamato, Masayuki Nakai, Kenta |
author_sort | Park, Sung-Joon |
collection | PubMed |
description | Extrinsic and intrinsic regulators are responsible for the tight control of hematopoietic stem cells (HSCs), which differentiate into all blood cell lineages. To understand the fundamental basis of HSC biology, we focused on differentially expressed genes (DEGs) in long-term and short-term HSCs, which are closely related in terms of cell development but substantially differ in their stem cell capacity. To analyze the transcriptional regulation of the DEGs identified in the novel transcriptome profiles obtained by our RNA-seq analysis, we developed a computational method to model the linear relationship between gene expression and the features of putative regulatory elements. The transcriptional regulation modes characterized here suggest the importance of transcription factors (TFs) that are expressed at steady state or at low levels. Remarkably, we found that 24 differentially expressed TFs targeting 21 putative TF-binding sites contributed significantly to transcriptional regulation. These TFs tended to be modulated by other nondifferentially expressed TFs, suggesting that HSCs can achieve flexible and rapid responses via the control of nondifferentially expressed TFs through a highly complex regulatory network. Our novel transcriptome profiles and new method are powerful tools for studying the mechanistic basis of cell fate decisions. |
format | Online Article Text |
id | pubmed-3977923 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39779232014-04-11 Computational Promoter Modeling Identifies the Modes of Transcriptional Regulation in Hematopoietic Stem Cells Park, Sung-Joon Umemoto, Terumasa Saito-Adachi, Mihoko Shiratsuchi, Yoshiko Yamato, Masayuki Nakai, Kenta PLoS One Research Article Extrinsic and intrinsic regulators are responsible for the tight control of hematopoietic stem cells (HSCs), which differentiate into all blood cell lineages. To understand the fundamental basis of HSC biology, we focused on differentially expressed genes (DEGs) in long-term and short-term HSCs, which are closely related in terms of cell development but substantially differ in their stem cell capacity. To analyze the transcriptional regulation of the DEGs identified in the novel transcriptome profiles obtained by our RNA-seq analysis, we developed a computational method to model the linear relationship between gene expression and the features of putative regulatory elements. The transcriptional regulation modes characterized here suggest the importance of transcription factors (TFs) that are expressed at steady state or at low levels. Remarkably, we found that 24 differentially expressed TFs targeting 21 putative TF-binding sites contributed significantly to transcriptional regulation. These TFs tended to be modulated by other nondifferentially expressed TFs, suggesting that HSCs can achieve flexible and rapid responses via the control of nondifferentially expressed TFs through a highly complex regulatory network. Our novel transcriptome profiles and new method are powerful tools for studying the mechanistic basis of cell fate decisions. Public Library of Science 2014-04-07 /pmc/articles/PMC3977923/ /pubmed/24710559 http://dx.doi.org/10.1371/journal.pone.0093853 Text en © 2014 Park et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Park, Sung-Joon Umemoto, Terumasa Saito-Adachi, Mihoko Shiratsuchi, Yoshiko Yamato, Masayuki Nakai, Kenta Computational Promoter Modeling Identifies the Modes of Transcriptional Regulation in Hematopoietic Stem Cells |
title | Computational Promoter Modeling Identifies the Modes of Transcriptional Regulation in Hematopoietic Stem Cells |
title_full | Computational Promoter Modeling Identifies the Modes of Transcriptional Regulation in Hematopoietic Stem Cells |
title_fullStr | Computational Promoter Modeling Identifies the Modes of Transcriptional Regulation in Hematopoietic Stem Cells |
title_full_unstemmed | Computational Promoter Modeling Identifies the Modes of Transcriptional Regulation in Hematopoietic Stem Cells |
title_short | Computational Promoter Modeling Identifies the Modes of Transcriptional Regulation in Hematopoietic Stem Cells |
title_sort | computational promoter modeling identifies the modes of transcriptional regulation in hematopoietic stem cells |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3977923/ https://www.ncbi.nlm.nih.gov/pubmed/24710559 http://dx.doi.org/10.1371/journal.pone.0093853 |
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