Dissecting the transcriptome in cardiovascular disease.

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State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_5DB274B179A5
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Dissecting the transcriptome in cardiovascular disease.
Journal
Cardiovascular research
Author(s)
Robinson E.L., Baker A.H., Brittan M., McCracken I., Condorelli G., Emanueli C., Srivastava P.K., Gaetano C., Thum T., Vanhaverbeke M., Angione C., Heymans S., Devaux Y., Pedrazzini T., Martelli F.
Working group(s)
EU-CardioRNA COST Action CA17129
ISSN
1755-3245 (Electronic)
ISSN-L
0008-6363
Publication state
Published
Issued date
16/03/2022
Peer-reviewed
Oui
Volume
118
Number
4
Pages
1004-1019
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't ; Review
Publication Status: ppublish
Abstract
The human transcriptome comprises a complex network of coding and non-coding RNAs implicated in a myriad of biological functions. Non-coding RNAs exhibit highly organized spatial and temporal expression patterns and are emerging as critical regulators of differentiation, homeostasis, and pathological states, including in the cardiovascular system. This review defines the current knowledge gaps, unmet methodological needs, and describes the challenges in dissecting and understanding the role and regulation of the non-coding transcriptome in cardiovascular disease. These challenges include poor annotation of the non-coding genome, determination of the cellular distribution of transcripts, assessment of the role of RNA processing and identification of cell-type specific changes in cardiovascular physiology and disease. We highlight similarities and differences in the hurdles associated with the analysis of the non-coding and protein-coding transcriptomes. In addition, we discuss how the lack of consensus and absence of standardized methods affect reproducibility of data. These shortcomings should be defeated in order to make significant scientific progress and foster the development of clinically applicable non-coding RNA-based therapeutic strategies to lessen the burden of cardiovascular disease.
Keywords
Cardiovascular Diseases/diagnosis, Cardiovascular Diseases/genetics, Cardiovascular Diseases/therapy, Humans, RNA Processing, Post-Transcriptional, RNA, Long Noncoding/genetics, RNA, Long Noncoding/metabolism, Reproducibility of Results, Transcriptome, Methodology standardisation, Non-coding RNAs, Transcriptomics, Translational cardiovascular research
Pubmed
Web of science
Open Access
Yes
Create date
30/03/2021 9:27
Last modification date
23/01/2024 8:26
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