Evidence map›Paper›PMID 39448677›Full record

ArticleScientific reports2024

Dynamic cluster field modeling of collective chemotaxis.

Aditya Shankar Paspunurwar, Adrian Moure, Hector Gomez

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Physical models of embryonic epithelial healing.PLoS computational biology · 2026
    Review
  2. 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

3 authors.

Aditya Shankar PaspunurwarSchool of Mechanical Engineering, Purdue University, 585 Purdue Mall, West Lafayette, 47907, IN, USA.
Adrian MoureDepartment of Mechanical and Civil Engineering, California Institute of Technology, 1200 East California Boulevard, Pasadena, 91125, CA, USA.
Hector GomezSchool of Mechanical Engineering, Purdue University, 585 Purdue Mall, West Lafayette, 47907, IN, USA. hectorgomez@purdue.edu.

Funding

National Science Foundation 1952912
6 · The paper itself

Abstract

Collective migration of eukaryotic cells is often guided by chemotaxis, and is critical in several biological processes, such as cancer metastasis, wound healing, and embryogenesis. Understanding collective chemotaxis has challenged experimental, theoretical and computational scientists because cells can sense very small chemoattractant gradients that are tightly controlled by cell-cell interactions and the regulation of the chemoattractant distribution by the cells. Computational models of collective cell migration that offer a high-fidelity resolution of the cell motion and chemoattractant dynamics in the extracellular space have been limited to a small number of cells. Here, we present Dynamic cluster field modeling (DCF), a novel computational method that enables simulations of collective chemotaxis of cellular systems with

Indexed as

ChemotaxisModels, BiologicalAlgorithmsCell CommunicationCell MovementChemotactic FactorsComputer SimulationHumansChemotactic FactorsChemotaxisClusteringCollective cell migrationPhase field modelingReallocation

Identifiers

PMID39448677
PMCPMC11502788

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.