Platelet microparticles load a repertory of miRNAs programmed to drive osteogenic phenotype
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | |
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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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 |
|
_version_ |
1808129394694160384 |