Evidence map›Paper›PMID 35360553›Full record

ArticlePNAS nexus2022

Short-term bioelectric stimulation of collective cell migration in tissues reprograms long-term supracellular dynamics.

Abraham E Wolf, Matthew A Heinrich, Isaac B Breinyn, Tom J Zajdel, Daniel J Cohen

Open access · goldAbstract read
In one paragraph

Article in PNAS nexus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Galvanotactic directionality of cell groups depends on group size.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
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  7. A quadriphasic mechanical model of the human dermis.Biomechanics and modeling in mechanobiology · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Electrotaxis of alveolar epithelial cells in direct-current electric fields.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2023
    Article
  15. 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

5 authors at 1 institution in 1 country.

Abraham E WolfDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA.ORCID https://orcid.org/0000-0002-1135-6497
Matthew A HeinrichDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ 08544, USA.ORCID https://orcid.org/0000-0002-9041-5554
Isaac B BreinynDepartment of Quantitative and Computational Biology, Princeton University, Princeton, NJ 08544, USA.ORCID https://orcid.org/0000-0002-4831-8398
Tom J ZajdelDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ 08544, USA.ORCID https://orcid.org/0000-0002-7957-3180
Daniel J CohenDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ 08544, USA.ORCID https://orcid.org/0000-0001-5819-1135
Princeton University · US

Funding

Understanding and controlling collective cell behaviorsR35GM133574 · NIGMS · PRINCETON UNIVERSITY · PI Daniel Cohen · 2019 to 2026
$3.2M
NIGMS NIH HHS R35 GM133574
6 · The paper itself

Abstract

The ability to program collective cell migration can allow us to control critical multicellular processes in development, regenerative medicine, and invasive disease. However, while various technologies exist to make individual cells migrate, translating these tools to control myriad, collectively interacting cells within a single tissue poses many challenges. For instance, do cells within the same tissue interpret a global migration 'command' differently based on where they are in the tissue? Similarly, since no stimulus is permanent, what are the long-term effects of transient commands on collective cell dynamics? We investigate these questions by bioelectrically programming large epithelial tissues to globally migrate 'rightward' via electrotaxis. Tissues clearly developed distinct rear, middle, side, and front responses to a single global migration stimulus. Furthermore, at no point poststimulation did tissues return to their prestimulation behavior, instead equilibrating to a 3rd, new migratory state. These unique dynamics suggested that programmed migration resets tissue mechanical state, which was confirmed by transient chemical disruption of cell-cell junctions, analysis of strain wave propagation patterns, and quantification of cellular crowd dynamics. Overall, this work demonstrates how externally driving the collective migration of a tissue can reprogram baseline cell-cell interactions and collective dynamics, even well beyond the end of the global migratory cue, and emphasizes the importance of considering the supracellular context of tissues and other collectives when attempting to program crowd behaviors.

Indexed as

bioelectricitycollective cell migrationelectrotaxissupracellularitytissue engineering

Identifiers

PMID35360553
PMCPMC8962779
OpenAlexW4214873020

What Socratic 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 Socratic graph.