Evidence map›Paper›PMID 33810789›Full record

ArticleBMC biology2021

Microfluidic guillotine reveals multiple timescales and mechanical modes of wound response in Stentor coeruleus.

Kevin S Zhang, Lucas R Blauch, Wesley Huang, Wallace F Marshall, Sindy K Y Tang

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. A role for theMolecular biology of the cell · 2026
    Article
  2. Genome-wide analysis of mRNA regionalization in a giant single cell.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. A role for thebioRxiv : the preprint server for biology · 2025
    Article
  5. Characterization of cellular wound resistance in the giant ciliatebioRxiv : the preprint server for biology · 2025
    Article
  6. The cell biology and genome ofMolecular biology of the cell · 2025
    Article
  7. Physical Forces in Regeneration of Cells and Tissues.Cold Spring Harbor perspectives in biology · 2025
    Review
  8. Genome-wide analysis of anterior-posterior mRNA regionalization inbioRxiv : the preprint server for biology · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. Origins of genome-editing excisases as illuminated by the somatic genome of the ciliateProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Regeneration inFrontiers in cell and developmental biology · 2021
    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

5 authors at 4 institutions in 1 country.

Kevin S Zhang *Department of Mechanical Engineering, Stanford University, Stanford, CA, 94305, USA.
Lucas R Blauch *Department of Mechanical Engineering, Stanford University, Stanford, CA, 94305, USA.
Wesley HuangDepartment of Biology, San Francisco State University, San Francisco, CA, 94132, USA.
Wallace F MarshallDepartment of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, 94158, USA.
Sindy K Y TangDepartment of Mechanical Engineering, Stanford University, Stanford, CA, 94305, USA. sindy@stanford.edu.ORCID 0000-0003-1465-2432
Stanford University · USSan Francisco State University · USStanford Medicine · USUniversity of California, San Francisco · US

Funding

Origins of Cell GeometryR35GM130327 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Wallace Marshall · 2019 to 2026
$5.3M
National Science Foundation 1938102National Science Foundation 1938109National Science Foundation DBI-1548297NIGMS NIH HHS R35 GM130327
6 · The paper itself

Abstract

backgroundWound healing is one of the defining features of life and is seen not only in tissues but also within individual cells. Understanding wound response at the single-cell level is critical for determining fundamental cellular functions needed for cell repair and survival. This understanding could also enable the engineering of single-cell wound repair strategies in emerging synthetic cell research. One approach is to examine and adapt self-repair mechanisms from a living system that already demonstrates robust capacity to heal from large wounds. Towards this end, Stentor coeruleus, a single-celled free-living ciliate protozoan, is a unique model because of its robust wound healing capacity. This capacity allows one to perturb the wounding conditions and measure their effect on the repair process without immediately causing cell death, thereby providing a robust platform for probing the self-repair mechanism.

resultsHere we used a microfluidic guillotine and a fluorescence-based assay to probe the timescales of wound repair and of mechanical modes of wound response in Stentor. We found that Stentor requires ~ 100-1000 s to close bisection wounds, depending on the severity of the wound. This corresponds to a healing rate of ~ 8-80 μm

conclusionsWhile events local to the wound site have been the focus of many single-cell wound repair studies, our results suggest that large-scale mechanical behaviors may be of greater importance to single-cell wound repair than previously thought. The work here advances our understanding of the wound response in Stentor and will lay the foundation for further investigations into the underlying components and molecular mechanisms involved.

Indexed as

MicrofluidicsRegenerationWound HealingCiliophoraCellular guillotineMicrofluidicsSingle-cellStentor coeruleusWound healing

Identifiers

PMID33810789
PMCPMC8017755
OpenAlexW3146592252

What OpenQuestion holds

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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.