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A mathematical model of contact inhibition of locomotion: coupling contractility and focal adhesions

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Aydar Uatay

Cell Behavior · Submitted 8 Jan 2019

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Together with our previous findings, our work is able to explain a wide range of observations about single and collective cell migration.

how it is stated · asserted 0.95 read the record →

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arXiv ID1901.02386 (version 3)
Pith IDYESLMH3C, Pith's permanent record of this paper and its review
CitationAydar Uatay. "A mathematical model of contact inhibition of locomotion: coupling contractility and focal adhesions." arXiv:1901.02386 (2019). https://pith.science/paper/YESLMH3C
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 5,511 input tokens.

What the abstract itself states, as probabilities: claims first 0.15 · states limitation 0.15 · human participants 0.03 · controlled comparison 0.28 · randomized assignment 0.01 · states quantitative result 0.04 · compares with prior results 0.64 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v3. Results and the main claim are underlined; .

Cell migration is often accompanied by collisions with other cells, which can lead to cessation of movement, repolarization, and migration away from the contact site - a process termed contact inhibition of locomotion (CIL). During CIL, the coupling between actomyosin contractilityand cell-substrate adhesions is modified. However, mathematical models describing stochastic cell migration and collision outcomes as a result of the coupling remain elusive. Here, we extend our previously developed stochastic model of single cell migration to include CIL. Our simulation results explain, in terms of the modified contractility and adhesion dynamics, several experimentally observed findings regarding CIL. These include response modulation in the presence of an external cue and alterations of group migration in the absence of CIL. Together with our previous findings, our work is able to explain a wide range of observations about single and collective cell migration.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Cell migration is often accompanied by collisions with other cells, which can lead to cessation of movement, repolarization, and migration away from the contact site - a process termed contact inhibition of locomotion (CIL). background 1.00 0.04 0.03 asserted 0.60
s1 During CIL, the coupling between actomyosin contractilityand cell-substrate adhesions is modified. background 1.00 0.10 0.06 asserted 1.00
s2 However, mathematical models describing stochastic cell migration and collision outcomes as a result of the coupling remain elusive. gap 1.00 0.07 0.03 asserted 0.99
s3 Here, we extend our previously developed stochastic model of single cell migration to include CIL. contribution 0.91 0.93 0.07 asserted 1.00
s4 Our simulation results explain, in terms of the modified contractility and adhesion dynamics, several experimentally observed findings regarding CIL. result 0.52 0.94 0.57 asserted 1.00
s5 These include response modulation in the presence of an external cue and alterations of group migration in the absence of CIL. result 0.94 0.72 0.14 asserted 0.93
s6 Together with our previous findings, our work is able to explain a wide range of observations about single and collective cell migration. interpretation 0.81 0.89 0.53 asserted 0.95

What kind of paper the classifier reports this is: simulation study 0.91 · evidence from simulation or computation 1.00.

What was examined, and what was not

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  • arXiv listing abstract v3
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
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  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Cell migration is often accompanied by collisions with other cells, which can lead to cessation of movement, repolarization, and migration away from the contact site - a process termed contact inhibition of locomotion (CIL). During CIL, the coupling between actomyosin contractilityand cell-substrate adhesions is modified. However, mathematical models describing stochastic cell migration and collision outcomes as a result of the coupling remain elusive. Here, we extend our previously developed stochastic model of single cell migration to include CIL. Our simulation results explain, in terms of the modified contractility and adhesion dynamics, several experimentally observed findings regarding CIL. These include response modulation in the presence of an external cue and alterations of group migration in the absence of CIL. Together with our previous findings, our work is able to explain a wide range of observations about single and collective cell migration.

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Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

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