High-content analysis of microRNAs involved in the phenotype regulation of vascular smooth muscle cells.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
03 03 2022
Historique:
received: 07 05 2021
accepted: 02 02 2022
entrez: 4 3 2022
pubmed: 5 3 2022
medline: 14 4 2022
Statut: epublish

Résumé

In response to vascular injury vascular smooth muscle cells (VSMCs) alternate between a differentiated (contractile) and a dedifferentiated (synthetic) state or phenotype. Although parts of the signaling cascade regulating the phenotypic switch have been described, the role of miRNAs is still incompletely understood. To systematically address this issue, we have established a microscopy-based quantitative assay and identified 23 miRNAs that induced contractile phenotypes when over-expressed. These were then correlated to miRNAs identified from RNA-sequencing when comparing cells in the contractile and synthetic states. Using both approaches, six miRNAs (miR-132-3p, miR-138-5p, miR-141-3p, miR-145-5p, miR-150-5p, and miR-22-3p) were filtered as candidates that induce the phenotypic switch from synthetic to contractile. To identify potentially common regulatory mechanisms of these six miRNAs, their predicted targets were compared with five miRNAs sharing ZBTB20, ZNF704, and EIF4EBP2 as common potential targets and four miRNAs sharing 16 common potential targets. The interaction network consisting of these 19 targets and additional 18 hub targets were created to facilitate validation of miRNA-mRNA interactions by suggesting the most plausible pairs. Furthermore, the information on drug candidates was integrated into the network to predict novel combinatorial therapies that encompass the complexity of miRNAs-mediated regulation. This is the first study that combines a phenotypic screening approach with RNA sequencing and bioinformatics to systematically identify miRNA-mediated pathways and to detect potential drug candidates to positively influence the phenotypic switch of VSMCs.

Identifiants

pubmed: 35241704
doi: 10.1038/s41598-022-07280-7
pii: 10.1038/s41598-022-07280-7
pmc: PMC8894385
doi:

Substances chimiques

MicroRNAs 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3498

Informations de copyright

© 2022. The Author(s).

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Auteurs

Jian Zhang (J)

Chirurgische Klinik and European Center of Angioscience (ECAS), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
BioQuant, Heidelberg University, Heidelberg, Germany.

Vytaute Starkuviene (V)

BioQuant, Heidelberg University, Heidelberg, Germany. vytaute.starkuviene@bioquant.uni-heidelberg.de.
Institute of Biosciences, Vilnius University Life Sciences Center, Vilnius, Lithuania. vytaute.starkuviene@bioquant.uni-heidelberg.de.

Holger Erfle (H)

BioQuant, Heidelberg University, Heidelberg, Germany.

Zhaohui Wang (Z)

Chirurgische Klinik and European Center of Angioscience (ECAS), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
BioQuant, Heidelberg University, Heidelberg, Germany.

Manuel Gunkel (M)

BioQuant, Heidelberg University, Heidelberg, Germany.

Ziwei Zeng (Z)

Chirurgische Klinik and European Center of Angioscience (ECAS), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
BioQuant, Heidelberg University, Heidelberg, Germany.

Carsten Sticht (C)

Medical Research Center, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Kejia Kan (K)

Chirurgische Klinik and European Center of Angioscience (ECAS), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Nuh Rahbari (N)

Chirurgische Klinik and European Center of Angioscience (ECAS), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Michael Keese (M)

Chirurgische Klinik and European Center of Angioscience (ECAS), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany. Michael.Keese@umm.de.

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Classifications MeSH