Evidence map›Paper›PMID 31464566›Full record

ArticleRegenerative medicine2019

Transcribing the heart: faithfully interpreting cardiac transcriptional insights.

Oscar Echeagaray, Mark A Sussman

Abstract readEditorial
In one paragraph

Article in Regenerative medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Oscar EcheagaraySan Diego Heart Research Institute and Integrated Regenerative Research Institute, San Diego State University, San Diego, CA 92182-4650, USA.
Mark A SussmanSan Diego Heart Research Institute and Integrated Regenerative Research Institute, San Diego State University, San Diego, CA 92182-4650, USA.ORCID 0000-0002-0104-4799

Funding

Surgery, Physiology and ImmunohistopathologyP01HL085577 · NHLBI · SAN DIEGO STATE UNIVERSITY · PI GLEMBOTSKI, CHRIS · 2006 to 2017
$18.4M
Regulation of Signal Transduction to Treat Heart FailureR01HL067245 · NHLBI · SAN DIEGO STATE UNIVERSITY · PI SUSSMAN, MARK ALAN · 2001 to 2021
$6.0M
Stem Cell Signaling in the Pathologically Challenged MyocardiumR37HL091102 · NHLBI · SAN DIEGO STATE UNIVERSITY · PI SUSSMAN, MARK ALAN · 2008 to 2017
$3.8M
Beta-adrenergic signaling: double edged sword of myocardial repairR01HL117163 · NHLBI · SAN DIEGO STATE UNIVERSITY · PI SUSSMAN, MARK ALAN · 2013 to 2017
$1.9M
Antagonism of myocardial aging and senescence with Pim-1 kinaseR01HL105759 · NHLBI · SAN DIEGO STATE UNIVERSITY · PI SUSSMAN, MARK ALAN · 2011 to 2015
$1.8M
Enhanced Myocardial Repair with CardioClusters and CardioChimerasR01HL122525 · NHLBI · SAN DIEGO STATE UNIVERSITY · PI SUSSMAN, MARK ALAN · 2014 to 2017
$1.5M
Cardioprotection by optimizing mTOR activityR01HL113647 · NHLBI · SAN DIEGO STATE UNIVERSITY · PI SUSSMAN, MARK ALAN · 2013 to 2016
$1.5M
NHLBI NIH HHS P01 HL085577NHLBI NIH HHS R01 HL067245NHLBI NIH HHS R01 HL105759NHLBI NIH HHS R01 HL113647NHLBI NIH HHS R01 HL117163NHLBI NIH HHS R01 HL122525NHLBI NIH HHS R37 HL091102
6 · The paper itself

Abstract

Transcriptional profiling continues to produce phenotypical data essential for understanding of basic cardiac biology and required to improve efficiency of cardiac regenerative and therapeutic approaches after injury. Accurate interpretation of cardiac transcriptional data comes with the unique challenges of heart biology including cardiomyocyte morphology, cryopreservation of limited samples and adequate selection of transcriptional platform at a single-cell resolution. Consequently, development and implementation of novel transcriptional platforms and creative bioinformatic analysis are essential to resolve standing questions in the field of cardiac regenerative medicine. Targeted bioinformatic approaches, advancing technological access, increase technical availability and fostering communication between interdisciplinary groups is critical to improve therapeutic approaches and to overcome challenges inherent to transcriptomic cardiac research.

Indexed as

Computational BiologyGene Expression ProfilingMyocytes, CardiacRegenerative MedicineTranscriptomeHumansbioinformaticscardiacsingle-cell RNA-Seqtranscriptional profilingtranscriptome

Identifiers

PMID31464566
PMCPMC6770408

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.