Evidence map›Paper›PMID 39937344›Full record

ArticleBulletin of mathematical biology2025

A Simple Framework for Agent-Based Modeling with Extracellular Matrix.

John Metzcar, Ben S Duggan, Brandon Fischer, Matthew Murphy, Randy Heiland, Paul Macklin

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

6 authors.

John MetzcarIntelligent Systems Engineering, Indiana University, 700 N. Woodlawn, Bloomington, IN, 47408, USA.ORCID http://orcid.org/0000-0002-0142-0387
Ben S DugganComputer Science, Indiana University, 700 N. Woodlawn, Bloomington, IN, 47408, USA.ORCID https://orcid.org/0000-0002-1819-2130
Brandon FischerIntelligent Systems Engineering, Indiana University, 700 N. Woodlawn, Bloomington, IN, 47408, USA.
Matthew MurphyInformatics, Indiana University, 901 E. Tenth Street, Bloomington, IN, 47408, USA.
Randy HeilandIntelligent Systems Engineering, Indiana University, 700 N. Woodlawn, Bloomington, IN, 47408, USA.ORCID https://orcid.org/0000-0002-7440-2905
Paul MacklinIntelligent Systems Engineering, Indiana University, 700 N. Woodlawn, Bloomington, IN, 47408, USA. macklinp@iu.edu.ORCID https://orcid.org/0000-0002-9925-0151

Funding

National Science Foundation 1720625National Science Foundation 1735095
6 · The paper itself

Abstract

Extracellular matrix (ECM) is a key component of the cellular microenvironment and critical in multiple disease and developmental processes. Representing ECM and cell-ECM interactions is a challenging multiscale problem as they span molecular-level details to tissue-level dynamics. While several computational frameworks exist for ECM modeling, they often focus on very detailed modeling of individual ECM fibers or represent only a single aspect of the ECM. Using the PhysiCell agent-based modeling platform, we developed a framework of intermediate detail with the ability to capture bidirectional cell-ECM interactions. We represent a small region of ECM, an ECM element, with three variables describing its local microstructure: anisotropy, density, and overall fiber orientation. To spatially model the ECM, we use an array of ECM elements. Cells remodel local ECM microstructure and in turn, local microstructure impacts cellular motility. We demonstrate the utility of this framework and reusability of its core cell-ECM interaction model through examples in cellular invasion, wound healing, basement membrane degradation, and leader-follower collective migration. Despite the relative simplicity of the framework, it is able to capture a broad range of cell-ECM interactions of interest to the modeling community. Furthermore, variables representing the ECM microstructure are accessible through simple programming interfaces. This allows them to impact cell behaviors, such as proliferation and death, without requiring custom code for each interaction, particularly through PhysiCell's modeling grammar, enabling rapid modeling of a diverse range of cell-matrix biology. We make this framework available as a free and open source software package at https://github.com/PhysiCell-Models/collective-invasion .

Indexed as

Extracellular MatrixModels, BiologicalAnimalsBasement MembraneCell CommunicationCell MovementCellular MicroenvironmentComputational BiologyComputer SimulationHumansMathematical ConceptsWound HealingAgent-based modelingCancer and basement membrane invasionCollective migrationExtracellular matrixFibrosisStigmergy

Identifiers

PMID39937344
PMCPMC11821717

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.