miARma-Seq, a comprehensive pipeline for the simultaneous study and integration of miRNA and mRNA expression data
Messenger RNAs (mRNAs) fulfil specific biological roles in cells and, thus, their expression may be adapted to suit specific circumstances. This is in part achieved through selective gene transcription and post-transcriptional events, the regulation of which must be tightly integrated and controlled...
| Autores: | , |
|---|---|
| Tipo de documento: | artigo |
| Estado: | Versión aceptada para publicación |
| Data de publicação: | 2019 |
| País: | España |
| Recursos: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositório: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/202265 |
| Acesso em linha: | http://hdl.handle.net/10261/202265 |
| Access Level: | Acceso aberto |
| Palavra-chave: | miRNA Small RNASeq analysis RNASeq analysis miRNA-mRNA target prediction Integrative analysis |
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miARma-Seq, a comprehensive pipeline for the simultaneous study and integration of miRNA and mRNA expression dataAndrés-León, EduardoRojas Mendoza, Ana M.miRNASmall RNASeq analysisRNASeq analysismiRNA-mRNA target predictionIntegrative analysisMessenger RNAs (mRNAs) fulfil specific biological roles in cells and, thus, their expression may be adapted to suit specific circumstances. This is in part achieved through selective gene transcription and post-transcriptional events, the regulation of which must be tightly integrated and controlled. To comprehensively study the coordinated effects of transcriptional and post-transcriptional regulatory elements, and to obtain coherent results, it is advisable to use different methodologies. Adequately integrating the data derived from these distinct methodologies then becomes critical to elucidating the relationships between the coordinated cellular effects assayed, particularly when applied to normal and disease states. Such integrated studies are likely to be particularly useful to identify markers suitable for early detection of diseases and to devise strategies for therapeutic interventions. Throughout this chapter, we will focus on the methods currently available to analyse mRNA and microRNA (miRNA) expression, paying special attention to the influence of miRNAs on mRNA metabolism. We will introduce miARma-Seq, a comprehensive pipeline that facilitates the simultaneous integration of mRNA and miRNA expression data. For illustrative purposes, we include a case study that incorporates data from RNASeq and small-RNASeq, detailing all the steps necessary to define the differential expression of both mRNA- and miRNA-encoding genes. Finally, we explore the possible regulatory relationships that drive significant and potentially relevant changes in mRNA and miRNA gene expression.ElsevierAcademic PressConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2020202020192020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/202265reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1016/j.ymeth.2018.09.002Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2022652026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
miARma-Seq, a comprehensive pipeline for the simultaneous study and integration of miRNA and mRNA expression data |
| title |
miARma-Seq, a comprehensive pipeline for the simultaneous study and integration of miRNA and mRNA expression data |
| spellingShingle |
miARma-Seq, a comprehensive pipeline for the simultaneous study and integration of miRNA and mRNA expression data Andrés-León, Eduardo miRNA Small RNASeq analysis RNASeq analysis miRNA-mRNA target prediction Integrative analysis |
| title_short |
miARma-Seq, a comprehensive pipeline for the simultaneous study and integration of miRNA and mRNA expression data |
| title_full |
miARma-Seq, a comprehensive pipeline for the simultaneous study and integration of miRNA and mRNA expression data |
| title_fullStr |
miARma-Seq, a comprehensive pipeline for the simultaneous study and integration of miRNA and mRNA expression data |
| title_full_unstemmed |
miARma-Seq, a comprehensive pipeline for the simultaneous study and integration of miRNA and mRNA expression data |
| title_sort |
miARma-Seq, a comprehensive pipeline for the simultaneous study and integration of miRNA and mRNA expression data |
| dc.creator.none.fl_str_mv |
Andrés-León, Eduardo Rojas Mendoza, Ana M. |
| author |
Andrés-León, Eduardo |
| author_facet |
Andrés-León, Eduardo Rojas Mendoza, Ana M. |
| author_role |
author |
| author2 |
Rojas Mendoza, Ana M. |
| author2_role |
author |
| dc.contributor.none.fl_str_mv |
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
miRNA Small RNASeq analysis RNASeq analysis miRNA-mRNA target prediction Integrative analysis |
| topic |
miRNA Small RNASeq analysis RNASeq analysis miRNA-mRNA target prediction Integrative analysis |
| description |
Messenger RNAs (mRNAs) fulfil specific biological roles in cells and, thus, their expression may be adapted to suit specific circumstances. This is in part achieved through selective gene transcription and post-transcriptional events, the regulation of which must be tightly integrated and controlled. To comprehensively study the coordinated effects of transcriptional and post-transcriptional regulatory elements, and to obtain coherent results, it is advisable to use different methodologies. Adequately integrating the data derived from these distinct methodologies then becomes critical to elucidating the relationships between the coordinated cellular effects assayed, particularly when applied to normal and disease states. Such integrated studies are likely to be particularly useful to identify markers suitable for early detection of diseases and to devise strategies for therapeutic interventions. Throughout this chapter, we will focus on the methods currently available to analyse mRNA and microRNA (miRNA) expression, paying special attention to the influence of miRNAs on mRNA metabolism. We will introduce miARma-Seq, a comprehensive pipeline that facilitates the simultaneous integration of mRNA and miRNA expression data. For illustrative purposes, we include a case study that incorporates data from RNASeq and small-RNASeq, detailing all the steps necessary to define the differential expression of both mRNA- and miRNA-encoding genes. Finally, we explore the possible regulatory relationships that drive significant and potentially relevant changes in mRNA and miRNA gene expression. |
| publishDate |
2019 |
| dc.date.none.fl_str_mv |
2019 2020 2020 2020 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Postprint info:eu-repo/semantics/acceptedVersion |
| format |
article |
| status_str |
acceptedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/202265 |
| url |
http://hdl.handle.net/10261/202265 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
http://dx.doi.org/10.1016/j.ymeth.2018.09.002 Sí |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
Elsevier Academic Press |
| publisher.none.fl_str_mv |
Elsevier Academic Press |
| dc.source.none.fl_str_mv |
reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
| instname_str |
Consejo Superior de Investigaciones Científicas (CSIC) |
| reponame_str |
DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869417155103031296 |
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15,812455 |