Evidence map›Paper›PMID 33495939›Full record

ReviewEuropean biophysics journal : EBJ2021

Multiscale nature of cell rearrangement caused by collective cell migration.

Ivana Pajic-Lijakovic, Milan Milivojevic

Abstract readReview
PubMed Publisher
In one paragraph

Review in European biophysics journal : EBJ, 2021. 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
1.8field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Metareview: a survey of active matter reviews.The European physical journal. E, Soft matter · 2025
    Review
  4. Review
  5. Review
  6. Viscoelasticity, Like Forces, Plays a Role in Mechanotransduction.Frontiers in cell and developmental biology · 2022
    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

2 authors at 1 institution in 1 country.

Ivana Pajic-LijakovicFaculty of Technology and Metallurgy, Belgrade University, Karnegijeva 4, Belgrade, Serbia. iva@tmf.bg.ac.rs.ORCID http://orcid.org/0000-0001-9663-6916
Milan MilivojevicFaculty of Technology and Metallurgy, Belgrade University, Karnegijeva 4, Belgrade, Serbia.
University of Belgrade · RS

Funding

Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja Contract No. 451-03-68/2020-14/200135
6 · The paper itself

Abstract

Collective cell migration (CCM), a highly coordinated and fine-tuned migratory mode, is involved in a plethora of biological processes, such as embryogenesis, tissue repair and cancer invasion. Although a good comprehension of how cells collectively migrate by following molecular rules has been generated, the impact of cellular rearrangements on collective migration remains less understood. Thus, considering CCM from a multi-scale quantitative approach could result in a powerful tool to address the contribution of cellular rearrangements in CCM and help to understand this important but still controversial topic. In this work, a review of existing literature in CCM modeling at different scales is given along with assortment of published experimental findings, to invite experimentalists to test given theoretical considerations in multicellular systems. In addition, three different time and space scales (free or weakly connected cells, cluster of cells and collision fronts of different cells clusters) are considered and the multi-scale nature of those processes was discussed with special emphasis of jamming and unjamming states.

Indexed as

Cell MovementModels, BiologicalAnimalsHumansCell speedCollective cell migrationJamming state transitionResidual stress accumulationViscoelasticity of cellular domains

Identifiers

PMID33495939
OpenAlexW3121412440

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.