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...
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| Language: | English |
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Public Library of Science (PLoS)
2014-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0093853&type=printable |
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| author | Sung-Joon Park Terumasa Umemoto Mihoko Saito-Adachi Yoshiko Shiratsuchi Masayuki Yamato Kenta Nakai |
| author_facet | Sung-Joon Park Terumasa Umemoto Mihoko Saito-Adachi Yoshiko Shiratsuchi Masayuki Yamato Kenta Nakai |
| author_sort | Sung-Joon Park |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-edb47e7cde63460aa3b7dd0d3999e2ec |
| institution | DOAJ |
| issn | 1932-6203 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-edb47e7cde63460aa3b7dd0d3999e2ec2025-08-20T03:00:31ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0194e9385310.1371/journal.pone.0093853Computational promoter modeling identifies the modes of transcriptional regulation in hematopoietic stem cells.Sung-Joon ParkTerumasa UmemotoMihoko Saito-AdachiYoshiko ShiratsuchiMasayuki YamatoKenta NakaiExtrinsic 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.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0093853&type=printable |
| spellingShingle | Sung-Joon Park Terumasa Umemoto Mihoko Saito-Adachi Yoshiko Shiratsuchi Masayuki Yamato Kenta Nakai Computational promoter modeling identifies the modes of transcriptional regulation in hematopoietic stem cells. PLoS ONE |
| 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 |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0093853&type=printable |
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