Evidence map›Paper›PMID 41219473›Full record

ReviewNature reviews. Molecular cell biology2026

Signal control during tissue regeneration in adult animals.

Sushant Bangru, Rocky Diegmiller, Stefano Di Talia, Kenneth D Poss

Abstract readReview
In one paragraph

Review in Nature reviews. Molecular cell biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. 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

4 authors.

Sushant BangruMorgridge Institute for Research, Madison, WI, USA.ORCID http://orcid.org/0000-0001-9602-0783
Rocky DiegmillerDepartment of Cell Biology, Duke University School of Medicine, Durham, NC, USA.ORCID http://orcid.org/0000-0002-6115-7891
Stefano Di TaliaDepartment of Cell Biology, Duke University School of Medicine, Durham, NC, USA. stefano.ditalia@duke.edu.ORCID http://orcid.org/0000-0001-9758-7925
Kenneth D PossMorgridge Institute for Research, Madison, WI, USA. kposs@morgridge.org.ORCID http://orcid.org/0000-0002-6743-5709

Funding

Leveraging zebrafish models to dissect and enhance heart regenerationR35HL150713 · NHLBI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI KENNETH D POSS · 2020 to 2026
$6.9M
LIVE IMAGING OF BONE REGENERATION IN ZEBRAFISHR01AR076342 · NIAMS · DUKE UNIVERSITY · PI Stefano Di Talia, KENNETH D POSS · 2020 to 2026
$4.2M
Gene therapy methods for enhancing limb regeneration based on conserved transcriptional programsR01HD115266 · NICHD · DUKE UNIVERSITY · PI David Andrew Brown, KENNETH D POSS · 2024 to 2026
$2.4M
Regulation of Appendage Regeneration in ZebrafishR01HD105033 · NICHD · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI POSS, KENNETH D · 2021 to 2025
$2.0M
Defining the Robustness of Zebrafish Spinal Cord RegenerationR21HD116006 · NICHD · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI KENNETH D POSS · 2025 to 2026
$495k
NHLBI NIH HHS R35 HL150713NIAMS NIH HHS R01 AR076342NICHD NIH HHS R01 HD105033NICHD NIH HHS R01 HD115266NICHD NIH HHS R21 HD116006
6 · The paper itself

Abstract

Tissue regeneration has historically been the subject of intense scientific scrutiny, from basic biology to applications in regenerative medicine. Use of model organisms and cutting-edge technologies have uncovered various mechanisms of regeneration, but understanding how signals are regulated spatiotemporally to renew lost structures at scale remains a challenge. Recent insights into chromatin structure and enhancer regulation, immune-tissue crosstalk, bioelectric and metabolic cues and quantitative modelling are broadening and reshaping our understanding of how tissues repair and renew. The evolution of cutting-edge tools for in vivo profiling and tracking of single cells is providing unprecedented dynamic views of regeneration across scales. Here, we synthesize the current knowledge of signal control in regeneration, with emphasis on conceptual advances, technical innovations and future directions for a more quantitative understanding of regenerative biology.

Indexed as

RegenerationSignal TransductionAnimalsHumansRegenerative Medicine

Identifiers

PMID41219473
PMCPMC12822818

What Socratic holds

Textmetadata
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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 Socratic graph.