Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/110887
DC FieldValueLanguage
dc.contributor.authorGrskovic, Marica-
dc.contributor.authorChaivorapol, Christina-
dc.contributor.authorGaspar-Maia, Alexandre-
dc.contributor.authorLi, Hao-
dc.contributor.authorRamalho-Santos, Miguel-
dc.date.accessioned2023-11-27T09:24:57Z-
dc.date.available2023-11-27T09:24:57Z-
dc.date.issued2007-08-
dc.identifier.issn1553-7404pt
dc.identifier.urihttps://hdl.handle.net/10316/110887-
dc.description.abstractUnderstanding the transcriptional regulation of pluripotent cells is of fundamental interest and will greatly inform efforts aimed at directing differentiation of embryonic stem (ES) cells or reprogramming somatic cells. We first analyzed the transcriptional profiles of mouse ES cells and primordial germ cells and identified genes upregulated in pluripotent cells both in vitro and in vivo. These genes are enriched for roles in transcription, chromatin remodeling, cell cycle, and DNA repair. We developed a novel computational algorithm, CompMoby, which combines analyses of sequences both aligned and non-aligned between different genomes with a probabilistic segmentation model to systematically predict short DNA motifs that regulate gene expression. CompMoby was used to identify conserved overrepresented motifs in genes upregulated in pluripotent cells. We show that the motifs are preferentially active in undifferentiated mouse ES and embryonic germ cells in a sequence-specific manner, and that they can act as enhancers in the context of an endogenous promoter. Importantly, the activity of the motifs is conserved in human ES cells. We further show that the transcription factor NF-Y specifically binds to one of the motifs, is differentially expressed during ES cell differentiation, and is required for ES cell proliferation. This study provides novel insights into the transcriptional regulatory networks of pluripotent cells. Our results suggest that this systematic approach can be broadly applied to understanding transcriptional networks in mammalian species.pt
dc.language.isoengpt
dc.publisherPublic Library of Sciencept
dc.relationThis work was supported by European Molecular Biology Organization and California Institute for Regenerative Medicine (CIRM) postdoctoral fellowships to MG; predoctoral fellowships from the National Science Foundation and the University of California San Francisco (UCSF) Mentorship and Research Assistantship Program to CC; a predoctoral fellowship from the Faculty of Science and Technology in Portugal to AGM; and grants from the UCSF Institute for Regeneration Medicine, UCSF School of Medicine Research Evaluation and Allocation Committee, the National Institute of Diabetes and Digestive and Kidney Diseases Diabetes Endocrinology Research Center, and CIRM to MRS. CC and HL acknowledge partial support from National Institutes of Health grant GM070808 and the Packard Fellowship in Science and Engineering to HL.pt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subject.meshAnimalspt
dc.subject.meshCCAAT-Binding Factorpt
dc.subject.meshCell Linept
dc.subject.meshCell Proliferationpt
dc.subject.meshCells, Culturedpt
dc.subject.meshComputational Biologypt
dc.subject.meshEmbryonic Stem Cellspt
dc.subject.meshHumanspt
dc.subject.meshMicept
dc.subject.meshMice, Transgenicpt
dc.subject.meshMultigene Familypt
dc.subject.meshNIH 3T3 Cellspt
dc.subject.meshOligonucleotide Array Sequence Analysispt
dc.subject.meshRegulatory Sequences, Nucleic Acidpt
dc.titleSystematic identification of cis-regulatory sequences active in mouse and human embryonic stem cellspt
dc.typearticle-
degois.publication.firstPagee145pt
degois.publication.issue8pt
degois.publication.titlePLoS Geneticspt
dc.peerreviewedyespt
dc.identifier.doi10.1371/journal.pgen.0030145pt
degois.publication.volume3pt
dc.date.embargo2007-08-01*
uc.date.periodoEmbargo0pt
item.grantfulltextopen-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextCom Texto completo-
Appears in Collections:I&D CNC - Artigos em Revistas Internacionais
Show simple item record

Page view(s)

35
checked on May 8, 2024

Download(s)

17
checked on May 8, 2024

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons