Evidence map›Paper›PMID 24759793›Full record

ReviewCirculation journal : official journal of the Japanese Circulation Society2014

Transcriptome complexity in cardiac development and diseases--an expanding universe between genome and phenome.

Chen Gao, Yibin Wang

Abstract readReview
In one paragraph

Review in Circulation journal : official journal of the Japanese Circulation Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Differential expression of members of SOX family of transcription factors in failing human hearts.Translational research : the journal of laboratory and clinical medicine · 2022
    Pooled it
  2. Review
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

2 authors.

Chen GaoDepartments of Anesthesiology, Physiology and Medicine, Molecular Biology Institute, David Geffen School of Medicine at University of California at Los Angeles.
Yibin Wang

Funding

Systems Approach to Unraveling the Genetic Basis of Heart FailureR01HL114437 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DENG, MARIO C., KARMA, ALAIN S · 2013 to 2016
$4.7M
Novel Signaling Mechanisms and Molecular Targets in the Stressed MyocardiumR01HL098954 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PING, PEIPEI, WANG, YIBIN · 2010 to 2013
$3.0M
A Systems Approach to Dissect Genetic Basis of Heart FailureR01HL123295 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUSIS, ALDONS JAKE, WANG, YIBIN · 2014 to 2017
$2.6M
Novel Regulatory Circuit in Cardiac Hypertrophy Via RNA SplicingR01HL122737 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WANG, YIBIN · 2014 to 2017
$1.5M
NHLBI NIH HHS R01 HL098954NHLBI NIH HHS R01 HL114437NHLBI NIH HHS R01 HL122737NHLBI NIH HHS R01 HL123295
6 · The paper itself

Abstract

With the advancement of transcriptome profiling by micro-arrays and high-throughput RNA-sequencing, transcriptome complexity and its dynamics are revealed at different levels in cardiovascular development and diseases. In this review, we will highlight the recent progress in our knowledge of cardiovascular transcriptome complexity contributed by RNA splicing, RNA editing and noncoding RNAs. The emerging importance of many of these previously under-explored aspects of gene regulation in cardiovascular development and pathology will be discussed.

Indexed as

RNA EditingRNA SplicingTranscriptomeAnimalsGene Expression Regulation, DevelopmentalHeartHeart DiseasesHumansRNA, UntranslatedRNA, Untranslated

Identifiers

PMID24759793
PMCPMC4306672

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.