Evidence map›Paper›PMID 34476377›Full record

ArticleBioelectricity2021

A Meta-Analysis of Bioelectric Data in Cancer, Embryogenesis, and Regeneration.

Pranjal Srivastava, Anna Kane, Christina Harrison, Michael Levin

Open access · greenAbstract read
In one paragraph

Article in Bioelectricity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. The Multiscale Wisdom of the Body: Collective Intelligence as a Tractable Interface for Next-Generation Biomedicine.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  5. Article
  6. Review
  7. Optical Estimation of Bioelectric Patterns in Living Embryos.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  8. Biophysical control of plasticity and patterning in regeneration and cancer.Cellular and molecular life sciences : CMLS · 2023
    Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Mechanisms Underlying Influence of Bioelectricity in Development.Frontiers in cell and developmental biology · 2022
    Review
  18. Review
  19. 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

4 authors at 2 institutions in 1 country.

Pranjal SrivastavaRye High School, Rye, New York, USA; Current Affiliation: College of Chemistry, University of California, Berkeley, Berkeley, California, USA.
Anna KaneDepartment of Biology, Allen Discovery Center, Tufts University, Medford, Massachusetts, USA.
Christina HarrisonDepartment of Biology, Allen Discovery Center, Tufts University, Medford, Massachusetts, USA.
Michael LevinDepartment of Biology, Allen Discovery Center, Tufts University, Medford, Massachusetts, USA.
Tufts University · USBerkeley College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developmental bioelectricity is the study of the endogenous role of bioelectrical signaling in all cell types. Resting potentials and other aspects of ionic cell physiology are known to be important regulatory parameters in embryogenesis, regeneration, and cancer. However, relevant quantitative measurement and genetic phenotyping data are distributed throughout wide-ranging literature, hampering experimental design and hypothesis generation. Here, we analyze published studies on bioelectrics and transcriptomic and genomic/phenotypic databases to provide a novel synthesis of what is known in three important aspects of bioelectrics research. First, we provide a comprehensive list of channelopathies-ion channel and pump gene mutations-in a range of important model systems with developmental patterning phenotypes, illustrating the breadth of channel types, tissues, and phyla (including man) in which bioelectric signaling is a critical endogenous aspect of embryogenesis. Second, we perform a novel bioinformatic analysis of transcriptomic data during regeneration in diverse taxa that reveals an electrogenic protein to be the one common factor specifically expressed in regeneration blastemas across Kingdoms. Finally, we analyze data on distinct V

Indexed as

cancerchannelopathydevelopmention channelregenerationresting potentialVmem

Identifiers

PMID34476377
PMCPMC8370481
OpenAlexW3015535416

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.