Platelet microparticles load a repertory of miRNAs programmed to drive osteogenic phenotype

Detalhes bibliográficos
Autor(a) principal: Ferreira, Marcel Rodrigues [UNESP]
Data de Publicação: 2020
Outros Autores: Zambuzzi, Willian Fernando [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1002/jbm.a.37140
http://hdl.handle.net/11449/206943
Resumo: Autologous platelet-rich plasma accelerates bone healing by releasing biomolecules during their degranulation process, which are transported by vesicle-like structures called platelet microparticles (PMPs). However, the underlying mechanisms regulating the osteogenic differentiation by PMP-released miRs remain poorly understood and this prompted us to better address this issue. Thus, miRNAseq expression profiles (E-GEOD-76789) were downloaded from ArrayExpress database. GEO2R was performed to evaluate the differential expression, and mirnatap R package was used to find targets for differentially expressed miRNAs. An extend protein–protein (ePPI) network for osteogenic marker proteins was generated using String, and DAVID tools were used to perform gene ontology and KEGG pathway analysis from ePPI and miRNAs targets. Our data show that ePPI network was composed by 232 nodes and 2,175 edges, with a clustering coefficient of 0.546. MCODE was able to identify seven clusters contained in the ePPI network, and the two that presented a score above 10 were used in further analysis. Conversely, 15,944 different targets were found as down-expressed while 5,715 different targets were up-expressed. Among the downregulated 75 miRNAs, 70 have predicted targets present in the ePPI network, while the 21 upregulated miRNAs have 19 predicted targets in the ePPI network. Our study provides a registry of miRNAs that play a central role in regulating osteogenic phenotype, which might have potential therapeutic applications in bone regeneration and bone tissue engineering.
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spelling Platelet microparticles load a repertory of miRNAs programmed to drive osteogenic phenotypebioengineeringbonemiRNAplatelet microparticlesplatelets-rich plasmaregenerationAutologous platelet-rich plasma accelerates bone healing by releasing biomolecules during their degranulation process, which are transported by vesicle-like structures called platelet microparticles (PMPs). However, the underlying mechanisms regulating the osteogenic differentiation by PMP-released miRs remain poorly understood and this prompted us to better address this issue. Thus, miRNAseq expression profiles (E-GEOD-76789) were downloaded from ArrayExpress database. GEO2R was performed to evaluate the differential expression, and mirnatap R package was used to find targets for differentially expressed miRNAs. An extend protein–protein (ePPI) network for osteogenic marker proteins was generated using String, and DAVID tools were used to perform gene ontology and KEGG pathway analysis from ePPI and miRNAs targets. Our data show that ePPI network was composed by 232 nodes and 2,175 edges, with a clustering coefficient of 0.546. MCODE was able to identify seven clusters contained in the ePPI network, and the two that presented a score above 10 were used in further analysis. Conversely, 15,944 different targets were found as down-expressed while 5,715 different targets were up-expressed. Among the downregulated 75 miRNAs, 70 have predicted targets present in the ePPI network, while the 21 upregulated miRNAs have 19 predicted targets in the ePPI network. Our study provides a registry of miRNAs that play a central role in regulating osteogenic phenotype, which might have potential therapeutic applications in bone regeneration and bone tissue engineering.Department of Chemistry and Biochemistry São Paulo State University (UNESP) Institute of Biosciences campus BotucatuDepartment of Chemistry and Biochemistry São Paulo State University (UNESP) Institute of Biosciences campus BotucatuUniversidade Estadual Paulista (Unesp)Ferreira, Marcel Rodrigues [UNESP]Zambuzzi, Willian Fernando [UNESP]2021-06-25T10:46:24Z2021-06-25T10:46:24Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1002/jbm.a.37140Journal of Biomedical Materials Research - Part A.1552-49651549-3296http://hdl.handle.net/11449/20694310.1002/jbm.a.371402-s2.0-85097375501Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Biomedical Materials Research - Part Ainfo:eu-repo/semantics/openAccess2021-10-23T15:48:22Zoai:repositorio.unesp.br:11449/206943Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:07:45.142801Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Platelet microparticles load a repertory of miRNAs programmed to drive osteogenic phenotype
title Platelet microparticles load a repertory of miRNAs programmed to drive osteogenic phenotype
spellingShingle Platelet microparticles load a repertory of miRNAs programmed to drive osteogenic phenotype
Ferreira, Marcel Rodrigues [UNESP]
bioengineering
bone
miRNA
platelet microparticles
platelets-rich plasma
regeneration
title_short Platelet microparticles load a repertory of miRNAs programmed to drive osteogenic phenotype
title_full Platelet microparticles load a repertory of miRNAs programmed to drive osteogenic phenotype
title_fullStr Platelet microparticles load a repertory of miRNAs programmed to drive osteogenic phenotype
title_full_unstemmed Platelet microparticles load a repertory of miRNAs programmed to drive osteogenic phenotype
title_sort Platelet microparticles load a repertory of miRNAs programmed to drive osteogenic phenotype
author Ferreira, Marcel Rodrigues [UNESP]
author_facet Ferreira, Marcel Rodrigues [UNESP]
Zambuzzi, Willian Fernando [UNESP]
author_role author
author2 Zambuzzi, Willian Fernando [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Ferreira, Marcel Rodrigues [UNESP]
Zambuzzi, Willian Fernando [UNESP]
dc.subject.por.fl_str_mv bioengineering
bone
miRNA
platelet microparticles
platelets-rich plasma
regeneration
topic bioengineering
bone
miRNA
platelet microparticles
platelets-rich plasma
regeneration
description Autologous platelet-rich plasma accelerates bone healing by releasing biomolecules during their degranulation process, which are transported by vesicle-like structures called platelet microparticles (PMPs). However, the underlying mechanisms regulating the osteogenic differentiation by PMP-released miRs remain poorly understood and this prompted us to better address this issue. Thus, miRNAseq expression profiles (E-GEOD-76789) were downloaded from ArrayExpress database. GEO2R was performed to evaluate the differential expression, and mirnatap R package was used to find targets for differentially expressed miRNAs. An extend protein–protein (ePPI) network for osteogenic marker proteins was generated using String, and DAVID tools were used to perform gene ontology and KEGG pathway analysis from ePPI and miRNAs targets. Our data show that ePPI network was composed by 232 nodes and 2,175 edges, with a clustering coefficient of 0.546. MCODE was able to identify seven clusters contained in the ePPI network, and the two that presented a score above 10 were used in further analysis. Conversely, 15,944 different targets were found as down-expressed while 5,715 different targets were up-expressed. Among the downregulated 75 miRNAs, 70 have predicted targets present in the ePPI network, while the 21 upregulated miRNAs have 19 predicted targets in the ePPI network. Our study provides a registry of miRNAs that play a central role in regulating osteogenic phenotype, which might have potential therapeutic applications in bone regeneration and bone tissue engineering.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
2021-06-25T10:46:24Z
2021-06-25T10:46:24Z
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://dx.doi.org/10.1002/jbm.a.37140
Journal of Biomedical Materials Research - Part A.
1552-4965
1549-3296
http://hdl.handle.net/11449/206943
10.1002/jbm.a.37140
2-s2.0-85097375501
url http://dx.doi.org/10.1002/jbm.a.37140
http://hdl.handle.net/11449/206943
identifier_str_mv Journal of Biomedical Materials Research - Part A.
1552-4965
1549-3296
10.1002/jbm.a.37140
2-s2.0-85097375501
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Biomedical Materials Research - Part A
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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