Deep sequencing analysis reveals distinctive non-coding RNAs when comparing tumor multidrug-resistant cells and extracellular vesicles with drug-sensitive counterparts

Detalhes bibliográficos
Autor(a) principal: Sousa, Diana
Data de Publicação: 2020
Outros Autores: Matthiesen, Rune, Lima, Raquel T., Helena Vasconcelos, M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/93190
Resumo: This article is a result of the project NORTE-01-0145-FEDER-000029, supported by the Norte Portugal Regional Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). This work was partially financed by the FEDER - Fundo Europeu de Desenvolvimento Regional funds through the COMPETE 2020 - Operacional Programme for Competitiveness and Internationalisation (POCI), Portugal 2020, and by Portuguese funds through FCT - Fundação para a Ciência e a Tecnologia/Ministério da Ciência, Tecnologia e Ensino Superior in the framework of the project “Institute for Research and Innovation in Health Sciences” (POCI-01-0145-FEDER-007274). This work is also a result of the GenomePT project (POCI-01-0145-FEDER-022184), supported by the COMPETE 2020 - Operational Programme for Competitiveness and Internationalisation (POCI), Lisboa Portugal Regional Operational Programme (Lisboa2020), Algarve Portugal Regional Operational Programme (CRESC Algarve2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF), and by Fundação para a Ciência e a Tecnologia (FCT). The authors thank the Portuguese Foundation for Science and Technology (FCT) for the PhD grant of DS (SFRH/BD/98054/2013).
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spelling Deep sequencing analysis reveals distinctive non-coding RNAs when comparing tumor multidrug-resistant cells and extracellular vesicles with drug-sensitive counterpartsCancerExtracellular vesiclesMicroRNAsMultidrug resistanceNext generation sequencingPseudogenesSmall RNAsOncologyCancer ResearchSDG 3 - Good Health and Well-beingThis article is a result of the project NORTE-01-0145-FEDER-000029, supported by the Norte Portugal Regional Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). This work was partially financed by the FEDER - Fundo Europeu de Desenvolvimento Regional funds through the COMPETE 2020 - Operacional Programme for Competitiveness and Internationalisation (POCI), Portugal 2020, and by Portuguese funds through FCT - Fundação para a Ciência e a Tecnologia/Ministério da Ciência, Tecnologia e Ensino Superior in the framework of the project “Institute for Research and Innovation in Health Sciences” (POCI-01-0145-FEDER-007274). This work is also a result of the GenomePT project (POCI-01-0145-FEDER-022184), supported by the COMPETE 2020 - Operational Programme for Competitiveness and Internationalisation (POCI), Lisboa Portugal Regional Operational Programme (Lisboa2020), Algarve Portugal Regional Operational Programme (CRESC Algarve2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF), and by Fundação para a Ciência e a Tecnologia (FCT). The authors thank the Portuguese Foundation for Science and Technology (FCT) for the PhD grant of DS (SFRH/BD/98054/2013).Multidrug resistance (MDR) is one of the main limitations of cancer treatment. The overexpression of drug-eux pumps, such as P-glycoprotein (P-gp), is a major cause of MDR. Importantly, di erent studies have shown that extracellular vesicles (EVs) participate in the communication between MDR cells and drug-sensitive counterparts, promoting dissemination of the MDR phenotype. In the present work, we aimed to identify RNA species present in MDR cells and in EVs released by those cells, which may be associated with the MDR phenotype. The RNA content from two pairs (leukemia and lung cancer) of MDR (P-gp overexpressing) cells and their drug-sensitive counterparts, as well as from their EVs, was analyzed by deep sequencing. Our results showed distinctive transcripts for MDR cells and their EVs, when compared with their drug-sensitive counterparts. Remarkably, two pseudogenes (a novel pseudogene and RNA 5.8S ribosomal pseudogene 2) were found to be increased in EVs released by MDR cells in both leukemia and lung cancer models. Moreover, six miRs (miR-204-5p, miR-139-5p, miR-29c-5p, miR-551b-3p, miR-29b-2-5p, and miR-204-3p) exhibited altered levels in lung cancer MDR cells and their EVs. This study provides insights into the contribution of EVs to MDR.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)Centro de Estudos de Doenças Crónicas (CEDOC)RUNSousa, DianaMatthiesen, RuneLima, Raquel T.Helena Vasconcelos, M.2020-02-21T23:54:30Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/93190eng2072-6694PURE: 16970796https://doi.org/10.3390/cancers12010200info: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:RCAAP2024-03-11T04:41:44Zoai:run.unl.pt:10362/93190Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:37:43.223262Repositório 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 Deep sequencing analysis reveals distinctive non-coding RNAs when comparing tumor multidrug-resistant cells and extracellular vesicles with drug-sensitive counterparts
title Deep sequencing analysis reveals distinctive non-coding RNAs when comparing tumor multidrug-resistant cells and extracellular vesicles with drug-sensitive counterparts
spellingShingle Deep sequencing analysis reveals distinctive non-coding RNAs when comparing tumor multidrug-resistant cells and extracellular vesicles with drug-sensitive counterparts
Sousa, Diana
Cancer
Extracellular vesicles
MicroRNAs
Multidrug resistance
Next generation sequencing
Pseudogenes
Small RNAs
Oncology
Cancer Research
SDG 3 - Good Health and Well-being
title_short Deep sequencing analysis reveals distinctive non-coding RNAs when comparing tumor multidrug-resistant cells and extracellular vesicles with drug-sensitive counterparts
title_full Deep sequencing analysis reveals distinctive non-coding RNAs when comparing tumor multidrug-resistant cells and extracellular vesicles with drug-sensitive counterparts
title_fullStr Deep sequencing analysis reveals distinctive non-coding RNAs when comparing tumor multidrug-resistant cells and extracellular vesicles with drug-sensitive counterparts
title_full_unstemmed Deep sequencing analysis reveals distinctive non-coding RNAs when comparing tumor multidrug-resistant cells and extracellular vesicles with drug-sensitive counterparts
title_sort Deep sequencing analysis reveals distinctive non-coding RNAs when comparing tumor multidrug-resistant cells and extracellular vesicles with drug-sensitive counterparts
author Sousa, Diana
author_facet Sousa, Diana
Matthiesen, Rune
Lima, Raquel T.
Helena Vasconcelos, M.
author_role author
author2 Matthiesen, Rune
Lima, Raquel T.
Helena Vasconcelos, M.
author2_role author
author
author
dc.contributor.none.fl_str_mv NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
Centro de Estudos de Doenças Crónicas (CEDOC)
RUN
dc.contributor.author.fl_str_mv Sousa, Diana
Matthiesen, Rune
Lima, Raquel T.
Helena Vasconcelos, M.
dc.subject.por.fl_str_mv Cancer
Extracellular vesicles
MicroRNAs
Multidrug resistance
Next generation sequencing
Pseudogenes
Small RNAs
Oncology
Cancer Research
SDG 3 - Good Health and Well-being
topic Cancer
Extracellular vesicles
MicroRNAs
Multidrug resistance
Next generation sequencing
Pseudogenes
Small RNAs
Oncology
Cancer Research
SDG 3 - Good Health and Well-being
description This article is a result of the project NORTE-01-0145-FEDER-000029, supported by the Norte Portugal Regional Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). This work was partially financed by the FEDER - Fundo Europeu de Desenvolvimento Regional funds through the COMPETE 2020 - Operacional Programme for Competitiveness and Internationalisation (POCI), Portugal 2020, and by Portuguese funds through FCT - Fundação para a Ciência e a Tecnologia/Ministério da Ciência, Tecnologia e Ensino Superior in the framework of the project “Institute for Research and Innovation in Health Sciences” (POCI-01-0145-FEDER-007274). This work is also a result of the GenomePT project (POCI-01-0145-FEDER-022184), supported by the COMPETE 2020 - Operational Programme for Competitiveness and Internationalisation (POCI), Lisboa Portugal Regional Operational Programme (Lisboa2020), Algarve Portugal Regional Operational Programme (CRESC Algarve2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF), and by Fundação para a Ciência e a Tecnologia (FCT). The authors thank the Portuguese Foundation for Science and Technology (FCT) for the PhD grant of DS (SFRH/BD/98054/2013).
publishDate 2020
dc.date.none.fl_str_mv 2020-02-21T23:54:30Z
2020
2020-01-01T00:00:00Z
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/10362/93190
url http://hdl.handle.net/10362/93190
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2072-6694
PURE: 16970796
https://doi.org/10.3390/cancers12010200
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.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
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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
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