Integration of stemness gene signatures reveals core functional modules of stem cells and potential novel stemness genes

Detalhes bibliográficos
Autor(a) principal: Barata, Tânia
Data de Publicação: 2023
Outros Autores: Duarte, Isabel, Futschik, Matthias E.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/19349
Resumo: Stem cells encompass a variety of different cell types which converge on the dual capacity to self-renew and differentiate into one or more lineages. These characteristic features are key for the involvement of stem cells in crucial biological processes such as development and ageing. To decipher their underlying genetic substrate, it is important to identify so-called stemness genes that are common to different stem cell types and are consistently identified across different studies. In this meta-analysis, 21 individual stemness signatures for humans and another 21 for mice, obtained from a variety of stem cell types and experimental techniques, were compared. Although we observed biological and experimental variability, a highly significant overlap between gene signatures was identified. This enabled us to define integrated stemness signatures (ISSs) comprised of genes frequently occurring among individual stemness signatures. Such integrated signatures help to exclude false positives that can compromise individual studies and can provide a more robust basis for investigation. To gain further insights into the relevance of ISSs, their genes were functionally annotated and connected within a molecular interaction network. Most importantly, the present analysis points to the potential roles of several less well-studied genes in stemness and thus provides promising candidates for further experimental validation.
id RCAP_a63daf49bf99671d1024c39c9429f967
oai_identifier_str oai:sapientia.ualg.pt:10400.1/19349
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Integration of stemness gene signatures reveals core functional modules of stem cells and potential novel stemness genesStemnessStem cellsGene signaturesData integrationStem cells encompass a variety of different cell types which converge on the dual capacity to self-renew and differentiate into one or more lineages. These characteristic features are key for the involvement of stem cells in crucial biological processes such as development and ageing. To decipher their underlying genetic substrate, it is important to identify so-called stemness genes that are common to different stem cell types and are consistently identified across different studies. In this meta-analysis, 21 individual stemness signatures for humans and another 21 for mice, obtained from a variety of stem cell types and experimental techniques, were compared. Although we observed biological and experimental variability, a highly significant overlap between gene signatures was identified. This enabled us to define integrated stemness signatures (ISSs) comprised of genes frequently occurring among individual stemness signatures. Such integrated signatures help to exclude false positives that can compromise individual studies and can provide a more robust basis for investigation. To gain further insights into the relevance of ISSs, their genes were functionally annotated and connected within a molecular interaction network. Most importantly, the present analysis points to the potential roles of several less well-studied genes in stemness and thus provides promising candidates for further experimental validation.MDPISapientiaBarata, TâniaDuarte, IsabelFutschik, Matthias E.2023-03-29T13:17:48Z2023-03-182023-03-28T12:56:10Z2023-03-18T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/19349engGenes 14 (3): 745 (2023)10.3390/genes140307452073-4425info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:31:47Zoai:sapientia.ualg.pt:10400.1/19349Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:08:59.780500Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Integration of stemness gene signatures reveals core functional modules of stem cells and potential novel stemness genes
title Integration of stemness gene signatures reveals core functional modules of stem cells and potential novel stemness genes
spellingShingle Integration of stemness gene signatures reveals core functional modules of stem cells and potential novel stemness genes
Barata, Tânia
Stemness
Stem cells
Gene signatures
Data integration
title_short Integration of stemness gene signatures reveals core functional modules of stem cells and potential novel stemness genes
title_full Integration of stemness gene signatures reveals core functional modules of stem cells and potential novel stemness genes
title_fullStr Integration of stemness gene signatures reveals core functional modules of stem cells and potential novel stemness genes
title_full_unstemmed Integration of stemness gene signatures reveals core functional modules of stem cells and potential novel stemness genes
title_sort Integration of stemness gene signatures reveals core functional modules of stem cells and potential novel stemness genes
author Barata, Tânia
author_facet Barata, Tânia
Duarte, Isabel
Futschik, Matthias E.
author_role author
author2 Duarte, Isabel
Futschik, Matthias E.
author2_role author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Barata, Tânia
Duarte, Isabel
Futschik, Matthias E.
dc.subject.por.fl_str_mv Stemness
Stem cells
Gene signatures
Data integration
topic Stemness
Stem cells
Gene signatures
Data integration
description Stem cells encompass a variety of different cell types which converge on the dual capacity to self-renew and differentiate into one or more lineages. These characteristic features are key for the involvement of stem cells in crucial biological processes such as development and ageing. To decipher their underlying genetic substrate, it is important to identify so-called stemness genes that are common to different stem cell types and are consistently identified across different studies. In this meta-analysis, 21 individual stemness signatures for humans and another 21 for mice, obtained from a variety of stem cell types and experimental techniques, were compared. Although we observed biological and experimental variability, a highly significant overlap between gene signatures was identified. This enabled us to define integrated stemness signatures (ISSs) comprised of genes frequently occurring among individual stemness signatures. Such integrated signatures help to exclude false positives that can compromise individual studies and can provide a more robust basis for investigation. To gain further insights into the relevance of ISSs, their genes were functionally annotated and connected within a molecular interaction network. Most importantly, the present analysis points to the potential roles of several less well-studied genes in stemness and thus provides promising candidates for further experimental validation.
publishDate 2023
dc.date.none.fl_str_mv 2023-03-29T13:17:48Z
2023-03-18
2023-03-28T12:56:10Z
2023-03-18T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.1/19349
url http://hdl.handle.net/10400.1/19349
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Genes 14 (3): 745 (2023)
10.3390/genes14030745
2073-4425
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799133336325586944