Identification of <it>Pou5f1</it>, <it>Sox2</it>, and <it>Nanog </it>downstream target genes with statistical confidence by applying a novel algorithm to time course microarray and genome-wide chromatin immunoprecipitation data
<p>Abstract</p> <p>Background</p> <p>Target genes of a transcription factor (TF) <it>Pou5f1 </it>(<it>Oct3/4 </it>or <it>Oct4</it>), which is essential for pluripotency maintenance and self-renewal of embryonic stem (ES) cells, have p...
Main Authors: | , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2008-06-01
|
Series: | BMC Genomics |
Online Access: | http://www.biomedcentral.com/1471-2164/9/269 |
id |
doaj-0f8e94e13d124f66b03bf527cfbb0023 |
---|---|
record_format |
Article |
spelling |
doaj-0f8e94e13d124f66b03bf527cfbb00232020-11-24T23:29:23ZengBMCBMC Genomics1471-21642008-06-019126910.1186/1471-2164-9-269Identification of <it>Pou5f1</it>, <it>Sox2</it>, and <it>Nanog </it>downstream target genes with statistical confidence by applying a novel algorithm to time course microarray and genome-wide chromatin immunoprecipitation dataXin LiMatoba RyoAiba KazuhiroPiao YulanSharova Lioudmila VMasui ShinjiSharov Alexei ANiwa HitoshiKo Minoru SH<p>Abstract</p> <p>Background</p> <p>Target genes of a transcription factor (TF) <it>Pou5f1 </it>(<it>Oct3/4 </it>or <it>Oct4</it>), which is essential for pluripotency maintenance and self-renewal of embryonic stem (ES) cells, have previously been identified based on their response to <it>Pou5f1 </it>manipulation and occurrence of Chromatin-immunoprecipitation (ChIP)-binding sites in promoters. However, many responding genes with binding sites may not be direct targets because response may be mediated by other genes and ChIP-binding site may not be functional in terms of transcription regulation.</p> <p>Results</p> <p>To reduce the number of false positives, we propose to separate responding genes into groups according to direction, magnitude, and time of response, and to apply the false discovery rate (FDR) criterion to each group individually. Using this novel algorithm with stringent statistical criteria (FDR < 0.2) to a compendium of published and new microarray data (3, 6, 12, and 24 hr after <it>Pou5f1 </it>suppression) and published ChIP data, we identified 420 tentative target genes (TTGs) for <it>Pou5f1</it>. The majority of TTGs (372) were down-regulated after <it>Pou5f1 </it>suppression, indicating that the <it>Pou5f1 </it>functions as an activator of gene expression when it binds to promoters. Interestingly, many activated genes are potent suppressors of transcription, which include polycomb genes, zinc finger TFs, chromatin remodeling factors, and suppressors of signaling. Similar analysis showed that <it>Sox2 </it>and <it>Nanog </it>also function mostly as transcription activators in cooperation with <it>Pou5f1</it>.</p> <p>Conclusion</p> <p>We have identified the most reliable sets of direct target genes for key pluripotency genes – <it>Pou5f1</it>, <it>Sox2</it>, and <it>Nanog</it>, and found that they predominantly function as activators of downstream gene expression. Thus, most genes related to cell differentiation are suppressed indirectly.</p> http://www.biomedcentral.com/1471-2164/9/269 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xin Li Matoba Ryo Aiba Kazuhiro Piao Yulan Sharova Lioudmila V Masui Shinji Sharov Alexei A Niwa Hitoshi Ko Minoru SH |
spellingShingle |
Xin Li Matoba Ryo Aiba Kazuhiro Piao Yulan Sharova Lioudmila V Masui Shinji Sharov Alexei A Niwa Hitoshi Ko Minoru SH Identification of <it>Pou5f1</it>, <it>Sox2</it>, and <it>Nanog </it>downstream target genes with statistical confidence by applying a novel algorithm to time course microarray and genome-wide chromatin immunoprecipitation data BMC Genomics |
author_facet |
Xin Li Matoba Ryo Aiba Kazuhiro Piao Yulan Sharova Lioudmila V Masui Shinji Sharov Alexei A Niwa Hitoshi Ko Minoru SH |
author_sort |
Xin Li |
title |
Identification of <it>Pou5f1</it>, <it>Sox2</it>, and <it>Nanog </it>downstream target genes with statistical confidence by applying a novel algorithm to time course microarray and genome-wide chromatin immunoprecipitation data |
title_short |
Identification of <it>Pou5f1</it>, <it>Sox2</it>, and <it>Nanog </it>downstream target genes with statistical confidence by applying a novel algorithm to time course microarray and genome-wide chromatin immunoprecipitation data |
title_full |
Identification of <it>Pou5f1</it>, <it>Sox2</it>, and <it>Nanog </it>downstream target genes with statistical confidence by applying a novel algorithm to time course microarray and genome-wide chromatin immunoprecipitation data |
title_fullStr |
Identification of <it>Pou5f1</it>, <it>Sox2</it>, and <it>Nanog </it>downstream target genes with statistical confidence by applying a novel algorithm to time course microarray and genome-wide chromatin immunoprecipitation data |
title_full_unstemmed |
Identification of <it>Pou5f1</it>, <it>Sox2</it>, and <it>Nanog </it>downstream target genes with statistical confidence by applying a novel algorithm to time course microarray and genome-wide chromatin immunoprecipitation data |
title_sort |
identification of <it>pou5f1</it>, <it>sox2</it>, and <it>nanog </it>downstream target genes with statistical confidence by applying a novel algorithm to time course microarray and genome-wide chromatin immunoprecipitation data |
publisher |
BMC |
series |
BMC Genomics |
issn |
1471-2164 |
publishDate |
2008-06-01 |
description |
<p>Abstract</p> <p>Background</p> <p>Target genes of a transcription factor (TF) <it>Pou5f1 </it>(<it>Oct3/4 </it>or <it>Oct4</it>), which is essential for pluripotency maintenance and self-renewal of embryonic stem (ES) cells, have previously been identified based on their response to <it>Pou5f1 </it>manipulation and occurrence of Chromatin-immunoprecipitation (ChIP)-binding sites in promoters. However, many responding genes with binding sites may not be direct targets because response may be mediated by other genes and ChIP-binding site may not be functional in terms of transcription regulation.</p> <p>Results</p> <p>To reduce the number of false positives, we propose to separate responding genes into groups according to direction, magnitude, and time of response, and to apply the false discovery rate (FDR) criterion to each group individually. Using this novel algorithm with stringent statistical criteria (FDR < 0.2) to a compendium of published and new microarray data (3, 6, 12, and 24 hr after <it>Pou5f1 </it>suppression) and published ChIP data, we identified 420 tentative target genes (TTGs) for <it>Pou5f1</it>. The majority of TTGs (372) were down-regulated after <it>Pou5f1 </it>suppression, indicating that the <it>Pou5f1 </it>functions as an activator of gene expression when it binds to promoters. Interestingly, many activated genes are potent suppressors of transcription, which include polycomb genes, zinc finger TFs, chromatin remodeling factors, and suppressors of signaling. Similar analysis showed that <it>Sox2 </it>and <it>Nanog </it>also function mostly as transcription activators in cooperation with <it>Pou5f1</it>.</p> <p>Conclusion</p> <p>We have identified the most reliable sets of direct target genes for key pluripotency genes – <it>Pou5f1</it>, <it>Sox2</it>, and <it>Nanog</it>, and found that they predominantly function as activators of downstream gene expression. Thus, most genes related to cell differentiation are suppressed indirectly.</p> |
url |
http://www.biomedcentral.com/1471-2164/9/269 |
work_keys_str_mv |
AT xinli identificationofitpou5f1ititsox2itanditnanogitdownstreamtargetgeneswithstatisticalconfidencebyapplyinganovelalgorithmtotimecoursemicroarrayandgenomewidechromatinimmunoprecipitationdata AT matobaryo identificationofitpou5f1ititsox2itanditnanogitdownstreamtargetgeneswithstatisticalconfidencebyapplyinganovelalgorithmtotimecoursemicroarrayandgenomewidechromatinimmunoprecipitationdata AT aibakazuhiro identificationofitpou5f1ititsox2itanditnanogitdownstreamtargetgeneswithstatisticalconfidencebyapplyinganovelalgorithmtotimecoursemicroarrayandgenomewidechromatinimmunoprecipitationdata AT piaoyulan identificationofitpou5f1ititsox2itanditnanogitdownstreamtargetgeneswithstatisticalconfidencebyapplyinganovelalgorithmtotimecoursemicroarrayandgenomewidechromatinimmunoprecipitationdata AT sharovalioudmilav identificationofitpou5f1ititsox2itanditnanogitdownstreamtargetgeneswithstatisticalconfidencebyapplyinganovelalgorithmtotimecoursemicroarrayandgenomewidechromatinimmunoprecipitationdata AT masuishinji identificationofitpou5f1ititsox2itanditnanogitdownstreamtargetgeneswithstatisticalconfidencebyapplyinganovelalgorithmtotimecoursemicroarrayandgenomewidechromatinimmunoprecipitationdata AT sharovalexeia identificationofitpou5f1ititsox2itanditnanogitdownstreamtargetgeneswithstatisticalconfidencebyapplyinganovelalgorithmtotimecoursemicroarrayandgenomewidechromatinimmunoprecipitationdata AT niwahitoshi identificationofitpou5f1ititsox2itanditnanogitdownstreamtargetgeneswithstatisticalconfidencebyapplyinganovelalgorithmtotimecoursemicroarrayandgenomewidechromatinimmunoprecipitationdata AT kominorush identificationofitpou5f1ititsox2itanditnanogitdownstreamtargetgeneswithstatisticalconfidencebyapplyinganovelalgorithmtotimecoursemicroarrayandgenomewidechromatinimmunoprecipitationdata |
_version_ |
1725546022522847232 |