Evidence map›Paper›PMID 26553694›Full record

ArticleCirculation. Cardiovascular genetics2015

Cardiac Disease Status Dictates Functional mRNA Targeting Profiles of Individual MicroRNAs.

Scot J Matkovich, Gerald W Dorn, Tiffani C Grossenheider, Peter A Hecker

Open access · bronzeAbstract read
In one paragraph

Article in Circulation. Cardiovascular genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Metabolomic and transcriptomic signatures of chemogenetic heart failure.American journal of physiology. Heart and circulatory physiology · 2022
    Article
  2. Article
  3. The Efficacy of Cardiac Anti-miR-208a Therapy Is Stress Dependent.Molecular therapy : the journal of the American Society of Gene Therapy · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Scot J MatkovichFrom the Department of Internal Medicine, Center for Pharmacogenomics, Washington University School of Medicine, St. Louis, MO. smatkovi@dom.wustl.edu.
Gerald W DornFrom the Department of Internal Medicine, Center for Pharmacogenomics, Washington University School of Medicine, St. Louis, MO.
Tiffani C GrossenheiderFrom the Department of Internal Medicine, Center for Pharmacogenomics, Washington University School of Medicine, St. Louis, MO.
Peter A HeckerFrom the Department of Internal Medicine, Center for Pharmacogenomics, Washington University School of Medicine, St. Louis, MO.
Washington University in St. Louis · US

Funding

Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
CARDIOVASCULAR SYSTEM--FUNCTION/REGULATION/PHARMACOLOGYT32HL007275 · NHLBI · WASHINGTON UNIVERSITY · PI NERBONNE, JEANNE M. · 1985 to 2013
$6.0M
Washington University Institute of Clinical and Translational SciencesTL1TR000449 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$2.5M
MICRORNA TARGETING IN HEART FAILURER01HL108943 · NHLBI · WASHINGTON UNIVERSITY · PI DORN, GERALD W. · 2012 to 2015
$1.5M
NCATS NIH HHS TL1 TR000449NCATS NIH HHS UL1 TR000448NHLBI NIH HHS R01 HL108943NHLBI NIH HHS T32 HL007275
6 · The paper itself

Abstract

backgroundMicroRNAs are key players in cardiac stress responses, but the mRNAs, whose abundance and translational potential are primarily affected by changes in cardiac microRNAs, are not well defined. Stimulus-induced, large-scale alterations in the cardiac transcriptome, together with consideration of the law of mass action, further suggest that the mRNAs most substantively targeted by individual microRNAs will vary between unstressed and stressed conditions. To test the hypothesis that microRNA target profiles differ in health and disease, we traced the fate of empirically determined miR-133a and miR-378 targets in mouse hearts undergoing pressure overload hypertrophy. METHODS AND

resultsAgo2 immunoprecipitation with RNA sequencing (RNA-induced silencing complex sequencing) was used for unbiased definition of microRNA-dependent and microRNA-independent alterations occurring among ≈13 000 mRNAs in response to transverse aortic constriction (TAC). Of 37 direct targets of miR-133a defined in unstressed hearts (fold change ≥25%, false discovery rate <0.02), only 4 (11%) continued to be targeted by miR-133a during TAC, whereas for miR-378 direct targets, 3 of 32 targets (9%) were maintained during TAC. Similarly, only 16% (for miR-133a) and 53% (for miR-378) of hundreds of indirectly affected mRNAs underwent comparable regulation, demonstrating that the effect of TAC on microRNA direct target selection resulted in widespread alterations of signaling function. Numerous microRNA-mediated regulatory events occurring exclusively during pressure overload revealed signaling networks that may be responsive to the endogenous decreases in miR-133a during TAC.

conclusionsPressure overload-mediated changes in overall cardiac RNA content alter microRNA targeting profiles, reinforcing the need to define microRNA targets in tissue-, cell-, and status-specific contexts.

Indexed as

Argonaute ProteinsCardiomegalyMicroRNAsRNA, MessengerAnimalsMaleMiceMice, TransgenicAgo2 protein, mouseArgonaute ProteinsMicroRNAsMirn133 microRNA, mouseMIRN378 microRNA, mouseRNA, MessengerAgo2 proteingene expressionmessengermicroRNAsregulationRNARNA-induced silencing complex

Identifiers

PMID26553694
PMCPMC4681654
OpenAlexW2195595612

What OpenQuestion holds

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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.