Evidence map›Paper›PMID 39195950›Full record

ArticleNature cardiovascular research2022

Pseudodynamic analysis of heart tube formation in the mouse reveals strong regional variability and early left-right asymmetry.

Isaac Esteban, Patrick Schmidt, Audrey Desgrange, Morena Raiola, Susana Temiño, Sigolène M Meilhac, Leif Kobbelt, Miguel Torres

Abstract read
In one paragraph

Article in Nature cardiovascular research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  9. Review
  10. Article
  11. Imaging Approaches and the Quantitative Analysis of Heart Development.Journal of cardiovascular development and disease · 2023
    Review
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

8 authors.

Isaac EstebanCardiovascular Regeneration Program, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Patrick SchmidtVisual Computing Institute, RWTH Aachen University, Aachen, Germany.ORCID http://orcid.org/0000-0002-8917-3674
Audrey DesgrangeUnit of Heart Morphogenesis, Université de Paris, Imagine - Institut Pasteur, INSERM UMR1163, Paris, France.
Morena RaiolaCardiovascular Regeneration Program, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Susana TemiñoCardiovascular Regeneration Program, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Sigolène M MeilhacUnit of Heart Morphogenesis, Université de Paris, Imagine - Institut Pasteur, INSERM UMR1163, Paris, France.
Leif KobbeltVisual Computing Institute, RWTH Aachen University, Aachen, Germany.
Miguel TorresCardiovascular Regeneration Program, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain. mtorres@cnic.es.ORCID http://orcid.org/0000-0003-0906-4767

Funding

Computational Image Analysis for Cellular and Developmental BiologyR25GM103792 · NIGMS · MARINE BIOLOGICAL LABORATORY · PI DANUSER, GAUDENZ · 2013 to 2017
$297k
Agence Nationale de la Recherche (French National Research Agency) ANR-10-IAHU-01Comunidad de Madrid S2017/BMD-3875European Commission (EC) H2020-MSCA-ITN-2016-722427NIGMS NIH HHS R25 GM103792
6 · The paper itself

Abstract

Understanding organ morphogenesis requires a precise geometrical description of the tissues involved in the process. The high morphological variability in mammalian embryos hinders the quantitative analysis of organogenesis. In particular, the study of early heart development in mammals remains a challenging problem due to imaging limitations and complexity. Here, we provide a complete morphological description of mammalian heart tube formation based on detailed imaging of a temporally dense collection of mouse embryonic hearts. We develop strategies for morphometric staging and quantification of local morphological variations between specimens. We identify hot spots of regionalized variability and identify Nodal-controlled left-right asymmetry of the inflow tracts as the earliest signs of organ left-right asymmetry in the mammalian embryo. Finally, we generate a three-dimensional+t digital model that allows co-representation of data from different sources and provides a framework for the computer modeling of heart tube formation.

Identifiers

PMID39195950
PMCPMC11357989

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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.