Evidence map›Paper›PMID 41091733›Full record

ArticlePLoS computational biology2025

A method for analysing tissue motion and deformation during mammalian organogenesis.

Morena Raiola, Isaac Esteban, Kenzo Ivanovitch, Miquel Sendra, Miguel Torres

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. 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. Article
  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

5 authors.

Morena RaiolaCardiovascular Regeneration Program, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Isaac EstebanCardiovascular Regeneration Program, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Kenzo IvanovitchCardiovascular Regeneration Program, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Miquel SendraCardiovascular Regeneration Program, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Miguel TorresCardiovascular Regeneration Program, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.ORCID 0000-0003-0906-4767

Funding

Agencia Estatal de InvestigaciónComunidad de MadridEuropean Research Council
6 · The paper itself

Abstract

Understanding tissue morphogenesis is an important goal in developmental biology and tissue engineering. Accurately describing tissue deformation processes and how cell rearrangements contribute to these is a challenging task. Live analysis of morphogenesis in 3D is frequently used to obtain source data that allow to extract such features from developing organs. However, several limitations are encountered when applying these methodologies to mammalian embryos. The mouse embryo is the most frequently used model, but most studies use a very limited number of specimens and present only individual acquisitions due to constraints imposed by embryo culture and imaging. Here, we leverage live imaging of mouse heart development to build a novel computational framework that overcomes these limitations. Our methodology first extracts tissue dynamics from individual specimens and then integrates these fragmented datasets into a deterministic and dynamic consensus model of heart development. This integrated model allows us to quantify patterns of tissue growth and anisotropy and generate an in-silico fate map of cardiomyocyte trajectories. This work provides a foundational toolkit for dissecting the complex morphogenetic processes underlying mammalian organogenesis, converting collections of variable live images into robust, quantitative blueprints of development.

Indexed as

HeartOrganogenesisAnimalsComputational BiologyComputer SimulationEmbryo, MammalianImaging, Three-DimensionalMiceMorphogenesisMyocytes, Cardiac

Identifiers

PMID41091733
PMCPMC12548895

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.