Evidence map›Paper›PMID 30742093›Full record

ArticleNature cell biology2019

MicroRNA-dependent regulation of biomechanical genes establishes tissue stiffness homeostasis.

Albertomaria Moro, Tristan P Driscoll, Liana C Boraas, William Armero, Dionna M Kasper, Nicolas Baeyens, Charlene Jouy, Venkatesh Mallikarjun, Joe Swift, Sang Joon Ahn and 6 more

Open access · greenAbstract read
In one paragraph

Article in Nature cell biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 69 citations in OpenAlex.

  1. Review
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  4. Review
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  6. The Rise of Mechanobiology for Advanced Cell Engineering and Manufacturing.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
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  15. Review
  16. AGO2 silences mobile transposons in the nucleus of quiescent cells.Nature structural & molecular biology · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 4 institutions in 3 countries.

Albertomaria MoroYale Cardiovascular Research Center, Department of Internal Medicine, Section of Cardiology, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-9249-5869
Tristan P DriscollYale Cardiovascular Research Center, Department of Internal Medicine, Section of Cardiology, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-2426-5551
Liana C BoraasYale Cardiovascular Research Center, Department of Internal Medicine, Section of Cardiology, Yale University School of Medicine, New Haven, CT, USA.
William ArmeroYale Cardiovascular Research Center, Department of Internal Medicine, Section of Cardiology, Yale University School of Medicine, New Haven, CT, USA.
Dionna M KasperYale Cardiovascular Research Center, Department of Internal Medicine, Section of Cardiology, Yale University School of Medicine, New Haven, CT, USA.
Nicolas BaeyensLaboratoire de Physiologie et Pharmacologie, Faculty of Medicine, Université Libre De Bruxelles, Brussels, Belgium.
Charlene JouyWellcome Trust Centre for Cell-Matrix Research, University of Manchester, Manchester, UK.
Venkatesh MallikarjunWellcome Trust Centre for Cell-Matrix Research, University of Manchester, Manchester, UK.
Joe SwiftWellcome Trust Centre for Cell-Matrix Research, University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0002-5039-9094
Sang Joon AhnYale Cardiovascular Research Center, Department of Internal Medicine, Section of Cardiology, Yale University School of Medicine, New Haven, CT, USA.
Donghoon LeeProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-0453-6059
Jing ZhangProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
Mengting GuProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
Mark GersteinProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
Martin SchwartzYale Cardiovascular Research Center, Department of Internal Medicine, Section of Cardiology, Yale University School of Medicine, New Haven, CT, USA. martin.schwartz@yale.edu.ORCID http://orcid.org/0000-0002-2071-1243
Stefania NicoliYale Cardiovascular Research Center, Department of Internal Medicine, Section of Cardiology, Yale University School of Medicine, New Haven, CT, USA. stefania.nicoli@yale.edu.ORCID http://orcid.org/0000-0001-7055-340X
Yale University · USManchester Academic Health Science Centre · GBWellcome Centre for Cell-Matrix Research · GBUniversité Libre de Bruxelles · BE

Funding

Yale Cooperative Hematology Specialized Core CenterU54DK106857 · NIDDK · YALE UNIVERSITY · PI JOHN HWA, Diane S Krause · 2015 to 2026
$9.7M
The Rho Family GTPases in Integrin SignalingR01GM047214 · NIGMS · YALE UNIVERSITY · PI SCHWARTZ, MARTIN A · 1991 to 2020
$6.3M
Integrating miR-107 into signaling pathways that coordinate neurogenesis and brain vascular permeabilityR01HL130246 · NHLBI · YALE UNIVERSITY · PI NICOLI, STEFANIA · 2016 to 2020
$2.1M
Defining miR-223-dependent mechanisms regulating hematopoietic stem cell production from endotheliumK99HL141687 · NHLBI · YALE UNIVERSITY · PI KASPER, DIONNA · 2018 to 2019
$205k
Investigating the Role for Mir-223 in Hematopoietic Stem Cell EmergenceF32HL132475 · NHLBI · YALE UNIVERSITY · PI KASPER, DIONNA · 2016 to 2018
$128k
Unraveling Integrin Mechanotransduction with Molecular ImagingF32GM119286 · NIGMS · YALE UNIVERSITY · PI DRISCOLL, TRISTAN P · 2016 to 2017
$112k
NHLBI NIH HHS F32 HL132475NHLBI NIH HHS K99 HL141687NHLBI NIH HHS R01 HL130246NIDDK NIH HHS U54 DK106857NIGMS NIH HHS F32 GM119286NIGMS NIH HHS R01 GM047214Wellcome Trust
6 · The paper itself

Abstract

Vertebrate tissues exhibit mechanical homeostasis, showing stable stiffness and tension over time and recovery after changes in mechanical stress. However, the regulatory pathways that mediate these effects are unknown. A comprehensive identification of Argonaute 2-associated microRNAs and mRNAs in endothelial cells identified a network of 122 microRNA families that target 73 mRNAs encoding cytoskeletal, contractile, adhesive and extracellular matrix (CAM) proteins. The level of these microRNAs increased in cells plated on stiff versus soft substrates, consistent with homeostasis, and suppressed targets via microRNA recognition elements within the 3' untranslated regions of CAM mRNAs. Inhibition of DROSHA or Argonaute 2, or disruption of microRNA recognition elements within individual target mRNAs, such as connective tissue growth factor, induced hyper-adhesive, hyper-contractile phenotypes in endothelial and fibroblast cells in vitro, and increased tissue stiffness, contractility and extracellular matrix deposition in the zebrafish fin fold in vivo. Thus, a network of microRNAs buffers CAM expression to mediate tissue mechanical homeostasis.

Indexed as

Gene Expression Regulation3' Untranslated RegionsAnimal FinsAnimalsCell LineCells, CulturedEndothelial CellsExtracellular Matrix ProteinsFibroblastsHomeostasisHumansMice, Inbred C57BLMicroRNAsRNA, MessengerZebrafish3' Untranslated RegionsExtracellular Matrix ProteinsMicroRNAsRNA, Messenger

Identifiers

PMID30742093
PMCPMC6528464
OpenAlexW2952891746

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.