Evidence map›Paper›PMID 25255322›Full record

ArticlePloS one2014

RNA expression profiling of human iPSC-derived cardiomyocytes in a cardiac hypertrophy model.

Praful Aggarwal, Amy Turner, Andrea Matter, Steven J Kattman, Alexander Stoddard, Rachel Lorier, Bradley J Swanson, Donna K Arnett, Ulrich Broeckel

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

35 citing papers in PubMed, 51 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Data Mining IdentifiesLife (Basel, Switzerland) · 2022
    Article
  5. Article
  6. Article
  7. Dynamic alternative polyadenylation during iPSC differentiation into cardiomyocytes.Computational and structural biotechnology journal · 2022
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors at 2 institutions in 1 country.

Praful AggarwalDepartment of Pediatrics, Children's Research Institute, and Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
Amy TurnerDepartment of Pediatrics, Children's Research Institute, and Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
Andrea MatterDepartment of Pediatrics, Children's Research Institute, and Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
Steven J KattmanCellular Dynamics International Inc., Madison, Wisconsin, United States of America.
Alexander StoddardDepartment of Pediatrics, Children's Research Institute, and Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
Rachel LorierDepartment of Pediatrics, Children's Research Institute, and Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
Bradley J SwansonCellular Dynamics International Inc., Madison, Wisconsin, United States of America.
Donna K ArnettDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Ulrich BroeckelDepartment of Pediatrics, Children's Research Institute, and Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
Cellular Dynamics International (United States) · USUniversity of Alabama at Birmingham · US

Funding

Functional GWAS for LVH using iPS-derived Cardiomyocytes: The HyperGEN ciPS StudU01HL107437 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI BROECKEL, ULRICH, BURKE, THOMAS J · 2011 to 2015
$6.1M
NHLBI NIH HHS U01 HL107437
6 · The paper itself

Abstract

Cardiac hypertrophy is an independent risk factor for cardiovascular disease and heart failure. There is increasing evidence that microRNAs (miRNAs) play an important role in the regulation of messenger RNA (mRNA) and the pathogenesis of various cardiovascular diseases. However, the ability to comprehensively study cardiac hypertrophy on a gene regulatory level is impacted by the limited availability of human cardiomyocytes. Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) offer the opportunity for disease modeling. Here we utilize a previously established in vitro model of cardiac hypertrophy to interrogate the regulatory mechanism associated with the cardiac disease process. We perform miRNA sequencing and mRNA expression analysis on endothelin 1 (ET-1) stimulated hiPSC-CMs to describe associated RNA expression profiles. MicroRNA sequencing revealed over 250 known and 34 predicted novel miRNAs to be differentially expressed between ET-1 stimulated and unstimulated control hiPSC-CMs. Messenger RNA expression analysis identified 731 probe sets with significant differential expression. Computational target prediction on significant differentially expressed miRNAs and mRNAs identified nearly 2000 target pairs. A principal component analysis approach comparing the in vitro data with human myocardial biopsies detected overlapping expression changes between the in vitro samples and myocardial biopsies with Left Ventricular Hypertrophy. These results provide further insights into the complex RNA regulatory mechanism associated with cardiac hypertrophy.

Indexed as

Gene Expression ProfilingCardiomegalyHumansInduced Pluripotent Stem CellsMicroRNAsMyocytes, CardiacRNA, MessengerSequence Analysis, RNAMicroRNAsRNA, Messenger

Identifiers

PMID25255322
PMCPMC4177883
OpenAlexW2016484408

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.