Toolkit/one-dimensional active gel model

one-dimensional active gel model

Computational Method·Research·Since 2022

Also known as: active gel model

Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.

Summary

The one-dimensional active gel model is a theoretical computational framework for contractile cell migration that incorporates the tendency of myosin II to assemble into minifilaments. It predicts bistability between sessile and motile cell states and models how optogenetic activation or inhibition of contractility can switch between these states.

Usefulness & Problems

Why this is useful

This model is useful for analyzing how adhesion, contractility, and myosin II minifilament assembly shape transitions between non-migratory and migratory cell behaviors. It also provides a theoretical framework for evaluating light-driven perturbations of contractility in contractile cells.

Problem solved

It addresses the problem of explaining and predicting when contractile cells exhibit sessile versus motile states under coupled mechanical regulation by adhesion and contractility. It also specifically tackles how optogenetic activation or inhibition of contractility could induce switching between these states at realistic parameter values.

Taxonomy & Function

Primary hierarchy

Technique Branch

Method: A concrete computational method used to design, rank, or analyze an engineered system.

Target processes

No target processes tagged yet.

Input: Light

Implementation Constraints

Implementation is described only at the level of a one-dimensional theoretical active gel model for contractile cells. The model reflects myosin II minifilament assembly and is used to simulate optogenetic activation or inhibition of contractility, but the provided evidence does not report software, equations, parameter sets, or experimental delivery details.

The supplied evidence describes this tool as a theoretical one-dimensional model, so its validation is limited to model-based predictions rather than direct experimental demonstration in the provided record. The evidence does not specify numerical implementation details, parameter inference procedures, or performance across multiple cell types and geometries.

Validation

Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication

Supporting Sources

Ranked Claims

Claim 1comparisonsupports2023Source 1needs review

Actin polymerization alone can switch migration direction only at high strength.

show that actin polymerization alone can affect a switch in direction only at high strength
Claim 2comparisonsupports2023Source 1needs review

Actin polymerization alone can switch migration direction only at high strength.

show that actin polymerization alone can affect a switch in direction only at high strength
Claim 3comparisonsupports2023Source 1needs review

Actin polymerization alone can switch migration direction only at high strength.

show that actin polymerization alone can affect a switch in direction only at high strength
Claim 4comparisonsupports2023Source 1needs review

Actin polymerization alone can switch migration direction only at high strength.

show that actin polymerization alone can affect a switch in direction only at high strength
Claim 5comparisonsupports2023Source 1needs review

Actin polymerization alone can switch migration direction only at high strength.

show that actin polymerization alone can affect a switch in direction only at high strength
Claim 6comparisonsupports2023Source 1needs review

Actin polymerization alone can switch migration direction only at high strength.

show that actin polymerization alone can affect a switch in direction only at high strength
Claim 7comparisonsupports2023Source 1needs review

Actin polymerization alone can switch migration direction only at high strength.

show that actin polymerization alone can affect a switch in direction only at high strength
Claim 8model predictionsupports2023Source 1needs review

A one-dimensional active gel model predicts bistability between sessile and motile cell states when adhesion and contractility are sufficiently large and balanced.

Our model predicts bistability between sessile and motile solutions when cell adhesion and contractility are sufficiently large and in balance.
Claim 9model predictionsupports2023Source 1needs review

A one-dimensional active gel model predicts bistability between sessile and motile cell states when adhesion and contractility are sufficiently large and balanced.

Our model predicts bistability between sessile and motile solutions when cell adhesion and contractility are sufficiently large and in balance.
Claim 10model predictionsupports2023Source 1needs review

A one-dimensional active gel model predicts bistability between sessile and motile cell states when adhesion and contractility are sufficiently large and balanced.

Our model predicts bistability between sessile and motile solutions when cell adhesion and contractility are sufficiently large and in balance.
Claim 11model predictionsupports2023Source 1needs review

A one-dimensional active gel model predicts bistability between sessile and motile cell states when adhesion and contractility are sufficiently large and balanced.

Our model predicts bistability between sessile and motile solutions when cell adhesion and contractility are sufficiently large and in balance.
Claim 12model predictionsupports2023Source 1needs review

A one-dimensional active gel model predicts bistability between sessile and motile cell states when adhesion and contractility are sufficiently large and balanced.

Our model predicts bistability between sessile and motile solutions when cell adhesion and contractility are sufficiently large and in balance.
Claim 13model predictionsupports2023Source 1needs review

A one-dimensional active gel model predicts bistability between sessile and motile cell states when adhesion and contractility are sufficiently large and balanced.

Our model predicts bistability between sessile and motile solutions when cell adhesion and contractility are sufficiently large and in balance.
Claim 14model predictionsupports2023Source 1needs review

A one-dimensional active gel model predicts bistability between sessile and motile cell states when adhesion and contractility are sufficiently large and balanced.

Our model predicts bistability between sessile and motile solutions when cell adhesion and contractility are sufficiently large and in balance.
Claim 15model predictionsupports2023Source 1needs review

Optogenetic activation or inhibition of contractility can switch cells between sessile and motile states at realistic parameter values.

We show that one can switch between the different states at realistic parameter values via optogenetic activation or inhibition of contractility
Claim 16model predictionsupports2023Source 1needs review

Optogenetic activation or inhibition of contractility can switch cells between sessile and motile states at realistic parameter values.

We show that one can switch between the different states at realistic parameter values via optogenetic activation or inhibition of contractility
Claim 17model predictionsupports2023Source 1needs review

Optogenetic activation or inhibition of contractility can switch cells between sessile and motile states at realistic parameter values.

We show that one can switch between the different states at realistic parameter values via optogenetic activation or inhibition of contractility
Claim 18model predictionsupports2023Source 1needs review

Optogenetic activation or inhibition of contractility can switch cells between sessile and motile states at realistic parameter values.

We show that one can switch between the different states at realistic parameter values via optogenetic activation or inhibition of contractility
Claim 19model predictionsupports2023Source 1needs review

Optogenetic activation or inhibition of contractility can switch cells between sessile and motile states at realistic parameter values.

We show that one can switch between the different states at realistic parameter values via optogenetic activation or inhibition of contractility
Claim 20model predictionsupports2023Source 1needs review

Optogenetic activation or inhibition of contractility can switch cells between sessile and motile states at realistic parameter values.

We show that one can switch between the different states at realistic parameter values via optogenetic activation or inhibition of contractility
Claim 21model predictionsupports2023Source 1needs review

Optogenetic activation or inhibition of contractility can switch cells between sessile and motile states at realistic parameter values.

We show that one can switch between the different states at realistic parameter values via optogenetic activation or inhibition of contractility
Claim 22model predictionsupports2022Source 2needs review

The model indicates that optogenetic activation or inhibition of contractility can switch cells between sessile and motile states at realistic parameter ranges.

We then show that one can switch between these two states at realistic parameter ranges via optogenetic activation or inhibition of contractility, in agreement with recent experiments.
Claim 23model predictionsupports2022Source 2needs review

The model indicates that optogenetic activation or inhibition of contractility can switch cells between sessile and motile states at realistic parameter ranges.

We then show that one can switch between these two states at realistic parameter ranges via optogenetic activation or inhibition of contractility, in agreement with recent experiments.
Claim 24model predictionsupports2022Source 2needs review

The model indicates that optogenetic activation or inhibition of contractility can switch cells between sessile and motile states at realistic parameter ranges.

We then show that one can switch between these two states at realistic parameter ranges via optogenetic activation or inhibition of contractility, in agreement with recent experiments.
Claim 25model predictionsupports2022Source 2needs review

The model indicates that optogenetic activation or inhibition of contractility can switch cells between sessile and motile states at realistic parameter ranges.

We then show that one can switch between these two states at realistic parameter ranges via optogenetic activation or inhibition of contractility, in agreement with recent experiments.
Claim 26model predictionsupports2022Source 2needs review

The model indicates that optogenetic activation or inhibition of contractility can switch cells between sessile and motile states at realistic parameter ranges.

We then show that one can switch between these two states at realistic parameter ranges via optogenetic activation or inhibition of contractility, in agreement with recent experiments.
Claim 27model predictionsupports2022Source 2needs review

The model indicates that optogenetic activation or inhibition of contractility can switch cells between sessile and motile states at realistic parameter ranges.

We then show that one can switch between these two states at realistic parameter ranges via optogenetic activation or inhibition of contractility, in agreement with recent experiments.
Claim 28model predictionsupports2022Source 2needs review

The model indicates that optogenetic activation or inhibition of contractility can switch cells between sessile and motile states at realistic parameter ranges.

We then show that one can switch between these two states at realistic parameter ranges via optogenetic activation or inhibition of contractility, in agreement with recent experiments.
Claim 29model predictionsupports2022Source 2needs review

The model predicts required activation strengths and initiation times for switching.

We also predict the required activation strengths and initiation times.
Claim 30model predictionsupports2022Source 2needs review

The model predicts required activation strengths and initiation times for switching.

We also predict the required activation strengths and initiation times.
Claim 31model predictionsupports2022Source 2needs review

The model predicts required activation strengths and initiation times for switching.

We also predict the required activation strengths and initiation times.
Claim 32model predictionsupports2022Source 2needs review

The model predicts required activation strengths and initiation times for switching.

We also predict the required activation strengths and initiation times.
Claim 33model predictionsupports2022Source 2needs review

The model predicts required activation strengths and initiation times for switching.

We also predict the required activation strengths and initiation times.
Claim 34model predictionsupports2022Source 2needs review

The model predicts required activation strengths and initiation times for switching.

We also predict the required activation strengths and initiation times.
Claim 35model predictionsupports2022Source 2needs review

The model predicts required activation strengths and initiation times for switching.

We also predict the required activation strengths and initiation times.
Claim 36model predictionsupports2022Source 2needs review

The one-dimensional active gel model predicts bistability between sessile and motile solutions.

This physically simple and transparent, but nonlinear and thermodynamically rigorous model predicts bistability between sessile and motile solutions.
Claim 37model predictionsupports2022Source 2needs review

The one-dimensional active gel model predicts bistability between sessile and motile solutions.

This physically simple and transparent, but nonlinear and thermodynamically rigorous model predicts bistability between sessile and motile solutions.
Claim 38model predictionsupports2022Source 2needs review

The one-dimensional active gel model predicts bistability between sessile and motile solutions.

This physically simple and transparent, but nonlinear and thermodynamically rigorous model predicts bistability between sessile and motile solutions.
Claim 39model predictionsupports2022Source 2needs review

The one-dimensional active gel model predicts bistability between sessile and motile solutions.

This physically simple and transparent, but nonlinear and thermodynamically rigorous model predicts bistability between sessile and motile solutions.
Claim 40model predictionsupports2022Source 2needs review

The one-dimensional active gel model predicts bistability between sessile and motile solutions.

This physically simple and transparent, but nonlinear and thermodynamically rigorous model predicts bistability between sessile and motile solutions.
Claim 41model predictionsupports2022Source 2needs review

The one-dimensional active gel model predicts bistability between sessile and motile solutions.

This physically simple and transparent, but nonlinear and thermodynamically rigorous model predicts bistability between sessile and motile solutions.
Claim 42model predictionsupports2022Source 2needs review

The one-dimensional active gel model predicts bistability between sessile and motile solutions.

This physically simple and transparent, but nonlinear and thermodynamically rigorous model predicts bistability between sessile and motile solutions.

Approval Evidence

2 sources6 linked approval claimsfirst-pass slug one-dimensional-active-gel-model
Here we theoretically analyze this situation using a one-dimensional active gel model that reflects the property of myosin II to assemble into minifilaments.

Source:

Here we analyze this situation theoretically using a one-dimensional active gel model

Source:

comparisonsupports

Actin polymerization alone can switch migration direction only at high strength.

show that actin polymerization alone can affect a switch in direction only at high strength

Source:

model predictionsupports

A one-dimensional active gel model predicts bistability between sessile and motile cell states when adhesion and contractility are sufficiently large and balanced.

Our model predicts bistability between sessile and motile solutions when cell adhesion and contractility are sufficiently large and in balance.

Source:

model predictionsupports

Optogenetic activation or inhibition of contractility can switch cells between sessile and motile states at realistic parameter values.

We show that one can switch between the different states at realistic parameter values via optogenetic activation or inhibition of contractility

Source:

model predictionsupports

The model indicates that optogenetic activation or inhibition of contractility can switch cells between sessile and motile states at realistic parameter ranges.

We then show that one can switch between these two states at realistic parameter ranges via optogenetic activation or inhibition of contractility, in agreement with recent experiments.

Source:

model predictionsupports

The model predicts required activation strengths and initiation times for switching.

We also predict the required activation strengths and initiation times.

Source:

model predictionsupports

The one-dimensional active gel model predicts bistability between sessile and motile solutions.

This physically simple and transparent, but nonlinear and thermodynamically rigorous model predicts bistability between sessile and motile solutions.

Source:

Comparisons

Source-backed strengths

The model explicitly reflects the property of myosin II to assemble into minifilaments, linking contractility to a biologically motivated active-gel description. It predicts bistability when adhesion and contractility are sufficiently large and balanced, and it further predicts that optogenetic modulation of contractility can switch cells between sessile and motile states. The cited comparison also indicates that actin polymerization alone switches migration direction only at high strength, highlighting the model's emphasis on contractility-based control.

Ranked Citations

  1. 1.
    StructuralSource 1Communications Physics2023Claim 1Claim 2Claim 3

    Extracted from this source document.

  2. 2.
    StructuralSource 2arXiv (Cornell University)2022Claim 22Claim 23Claim 24

    Extracted from this source document.