Evidence map›Paper›PMID 42189679›Full record

ArticleSTAR protocols2026

Protocol for inferring mechanical stresses in tissues using ForSys, an open-source Python tool.

Augusto Borges, Jerónimo R Miranda-Rodríguez, Alberto S Ceccarelli, Guilherme Ventura, Jakub Sedzinski, Hernán López-Schier, Osvaldo Chara

Abstract read
In one paragraph

Article in STAR protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Augusto BorgesDepartment of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2, UK. Electronic address: ab3330@cam.ac.uk.
Jerónimo R Miranda-RodríguezInstituto de Neurobiología, Universidad Nacional Autónoma de México (UNAM), Boulevard Juriquilla, 3001 Juriquilla, Mexico.
Alberto S CeccarelliSchool of Biosciences, University of Nottingham, Sutton Bonington Campus, Nottingham LE12, UK.
Guilherme VenturaResearch Institute for Molecular Pathology (IMP), Vienna, Austria.
Jakub SedzinskiThe Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), University of Copenhagen, Copenhagen, Denmark; Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.
Hernán López-SchierDivision of Science, New York University Abu Dhabi, Saadiyat Island, United Arab Emirates.
Osvaldo CharaSchool of Biosciences, University of Nottingham, Sutton Bonington Campus, Nottingham LE12, UK; Instituto de Tecnología, Universidad Argentina de La Empresa, Buenos Aires, Argentina. Electronic address: osvaldo.chara@nottingham.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stress inference offers a rapid computational approach for estimating the mechanical state of a tissue without requiring invasive experiments. Here, we present a protocol for inferring mechanical stresses in tissues using ForSys, an open-source Python tool. We describe steps for preparing the Python environment, using the command-line interface, installing and using the graphical user interface (GUI), and importing data. We then detail procedures for correcting automatic connections between time points, determining scale parameters, and plotting and quantifying the inference results. For complete details on the use and execution of this protocol, please refer to Borges et al.

Indexed as

Computational BiologySoftwareStress, MechanicalAnimalsBioinformaticsBiophysicsDevelopmental biologySystems biologyTissue Engineering

Identifiers

PMID42189679
PMCPMC13226890

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Registered trials

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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.