Evidence map›Paper›PMID 25058592›Full record

ArticlePLoS computational biology2014

Propagating waves of directionality and coordination orchestrate collective cell migration.

Assaf Zaritsky, Doron Kaplan, Inbal Hecht, Sari Natan, Lior Wolf, Nir S Gov, Eshel Ben-Jacob, Ilan Tsarfaty

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

27 citing papers in PubMed, 52 citations in OpenAlex.

  1. Flocking and giant fluctuations in epithelial active solids.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  16. Collective cell migration has distinct directionality and speed dynamics.Cellular and molecular life sciences : CMLS · 2017
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  20. Modelling collective cell migration of neural crest.Current opinion in cell biology · 2016
    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

8 authors at 4 institutions in 2 countries.

Assaf ZaritskyBlavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel.
Doron KaplanIsrael Institute for Biological Research, Ness Ziona, Israel.
Inbal HechtSchool of Physics and Astronomy, The Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel.
Sari NatanDepartment of Clinical Microbiology and Immunology, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Lior WolfBlavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel.
Nir S GovDepartment of Chemical Physics, Weizmann Institute of Science, Rehovot, Israel.
Eshel Ben-JacobSchool of Physics and Astronomy, The Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel; Center for Theoretical Biological Physics, Rice University, Houston, Texas, United States of America; Research & Development Unit, Assaf Harofeh Medical Center, Zerifin, Israel.
Ilan TsarfatyDepartment of Clinical Microbiology and Immunology, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Tel Aviv University · ILIsrael Institute for Biological Research · ILRice University · USWeizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability of cells to coordinately migrate in groups is crucial to enable them to travel long distances during embryonic development, wound healing and tumorigenesis, but the fundamental mechanisms underlying intercellular coordination during collective cell migration remain elusive despite considerable research efforts. A novel analytical framework is introduced here to explicitly detect and quantify cell clusters that move coordinately in a monolayer. The analysis combines and associates vast amount of spatiotemporal data across multiple experiments into transparent quantitative measures to report the emergence of new modes of organized behavior during collective migration of tumor and epithelial cells in wound healing assays. First, we discovered the emergence of a wave of coordinated migration propagating backward from the wound front, which reflects formation of clusters of coordinately migrating cells that are generated further away from the wound edge and disintegrate close to the advancing front. This wave emerges in both normal and tumor cells, and is amplified by Met activation with hepatocyte growth factor/scatter factor. Second, Met activation was found to induce coinciding waves of cellular acceleration and stretching, which in turn trigger the emergence of a backward propagating wave of directional migration with about an hour phase lag. Assessments of the relations between the waves revealed that amplified coordinated migration is associated with the emergence of directional migration. Taken together, our data and simplified modeling-based assessments suggest that increased velocity leads to enhanced coordination: higher motility arises due to acceleration and stretching that seems to increase directionality by temporarily diminishing the velocity components orthogonal to the direction defined by the monolayer geometry. Spatial and temporal accumulation of directionality thus defines coordination. The findings offer new insight and suggest a basic cellular mechanism for long-term cell guidance and intercellular communication during collective cell migration.

Indexed as

AnimalsBiomechanical PhenomenaCell CommunicationCell Line, TumorCell MovementComputational BiologyDogsMadin Darby Canine Kidney CellsMiceSignal TransductionWound Healing

Identifiers

PMID25058592
PMCPMC4109844
OpenAlexW2038727419

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.