Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Park, Sung-Joon, Umemoto, Terumasa, Saito-Adachi, Mihoko, Shiratsuchi, Yoshiko, Yamato, Masayuki, Nakai, Kenta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
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
_version_ 1782310478807040000
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
work_keys_str_mv AT parksungjoon computationalpromotermodelingidentifiesthemodesoftranscriptionalregulationinhematopoieticstemcells
AT umemototerumasa computationalpromotermodelingidentifiesthemodesoftranscriptionalregulationinhematopoieticstemcells
AT saitoadachimihoko computationalpromotermodelingidentifiesthemodesoftranscriptionalregulationinhematopoieticstemcells
AT shiratsuchiyoshiko computationalpromotermodelingidentifiesthemodesoftranscriptionalregulationinhematopoieticstemcells
AT yamatomasayuki computationalpromotermodelingidentifiesthemodesoftranscriptionalregulationinhematopoieticstemcells
AT nakaikenta computationalpromotermodelingidentifiesthemodesoftranscriptionalregulationinhematopoieticstemcells