Evidence map›Paper›PMID 34423307›Full record

ArticleAdvanced genetics (Hoboken, N.J.)2021

Genetic, Epigenetic, and Post-Transcriptional Basis of Divergent Tissue Regenerative Capacities Among Vertebrates.

Sheamin Khyeam, Sukjun Lee, Guo N Huang

Open access · goldAbstract read
In one paragraph

Article in Advanced genetics (Hoboken, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Unlocking cardiomyocyte renewal potential for myocardial regeneration therapy.Journal of molecular and cellular cardiology · 2023
    Review
  7. Visualization of regenerating and repairing hearts.Clinical science (London, England : 1979) · 2022
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. 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

3 authors at 2 institutions in 1 country.

Sheamin KhyeamCardiovascular Research Institute and Department of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA.
Sukjun LeeCardiovascular Research Institute and Department of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA.
Guo N HuangCardiovascular Research Institute and Department of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA.
Broad Center · USUniversity of California, San Francisco · US

Funding

Molecular control of cardiac regenerative potentialR01HL138456 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Guo Huang · 2018 to 2026
$5.1M
NHLBI NIH HHS R01 HL138456
6 · The paper itself

Abstract

Regeneration is widespread across the animal kingdom but varies vastly across phylogeny and even ontogeny. Adult mammalian regeneration in most organs and appendages is limited, while vertebrates such as zebrafish and salamanders are able to regenerate various organs and body parts. Here, we focus on the regeneration of appendages, spinal cord, and heart - organs and body parts that are highly regenerative among fish and amphibian species but limited in adult mammals. We then describe potential genetic, epigenetic, and post-transcriptional similarities among these different forms of regeneration across vertebrates and discuss several theories for diminished regenerative capacity throughout evolution.

Identifiers

PMID34423307
PMCPMC8372189
OpenAlexW3162590646

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.