Evidence map›Paper›PMID 25071214›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Epigenetic coordination of embryonic heart transcription by dynamically regulated long noncoding RNAs.

Scot J Matkovich, John R Edwards, Tiffani C Grossenheider, Cristina de Guzman Strong, Gerald W Dorn

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

84 citing papers in PubMed, 140 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Posttranscriptional Regulation by Proteins and Noncoding RNAs.Advances in experimental medicine and biology · 2024
    Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Neurohormonal connections with mitochondria in cardiomyopathy and other diseases.American journal of physiology. Cell physiology · 2022
    Review
  16. Article
  17. LncRNAs at the heart of development and disease.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
    Review
  18. Article
  19. Review
  20. Article

24 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Scot J MatkovichCenter for Pharmacogenomics, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO 63110 smatkovi@dom.wustl.edu gdorn@dom.wustl.edu.
John R EdwardsCenter for Pharmacogenomics, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO 63110.
Tiffani C GrossenheiderCenter for Pharmacogenomics, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO 63110.
Cristina de Guzman StrongCenter for Pharmacogenomics, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO 63110.
Gerald W DornCenter for Pharmacogenomics, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO 63110 smatkovi@dom.wustl.edu gdorn@dom.wustl.edu.
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
MICRORNA TARGETING IN HEART FAILURER01HL108943 · NHLBI · WASHINGTON UNIVERSITY · PI DORN, GERALD W. · 2012 to 2015
$1.5M
NCATS NIH HHS UL1 TR000448NHLBI NIH HHS R01 HL108943NHLBI NIH HHS R01 HL108943-02
6 · The paper itself

Abstract

The vast majority of mammalian DNA does not encode for proteins but instead is transcribed into noncoding (nc)RNAs having diverse regulatory functions. The poorly characterized subclass of long ncRNAs (lncRNAs) can epigenetically regulate protein-coding genes by interacting locally in cis or distally in trans. A few reports have implicated specific lncRNAs in cardiac development or failure, but precise details of lncRNAs expressed in hearts and how their expression may be altered during embryonic heart development or by adult heart disease is unknown. Using comprehensive quantitative RNA sequencing data from mouse hearts, livers, and skin cells, we identified 321 lncRNAs present in the heart, 117 of which exhibit a cardiac-enriched pattern of expression. By comparing lncRNA profiles of normal embryonic (∼E14), normal adult, and hypertrophied adult hearts, we defined a distinct fetal lncRNA abundance signature that includes 157 lncRNAs differentially expressed compared with adults (fold-change ≥ 50%, false discovery rate = 0.02) and that was only poorly recapitulated in hypertrophied hearts (17 differentially expressed lncRNAs; 13 of these observed in embryonic hearts). Analysis of protein-coding mRNAs from the same samples identified 22 concordantly and 11 reciprocally regulated mRNAs within 10 kb of dynamically expressed lncRNAs, and reciprocal relationships of lncRNA and mRNA levels were validated for the Mccc1 and Relb genes using in vitro lncRNA knockdown in C2C12 cells. Network analysis suggested a central role for lncRNAs in modulating NFκB- and CREB1-regulated genes during embryonic heart growth and identified multiple mRNAs within these pathways that are also regulated, but independently of lncRNAs.

Indexed as

Epigenesis, GeneticAnimalsHeartMiceRNA, Long NoncodingTranscription, GeneticRNA, Long Noncodingfetal heartpressure overload

Identifiers

PMID25071214
PMCPMC4143054
OpenAlexW2097071638

What OpenQuestion holds

Textmetadata
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.