Evidence map›Paper›PMID 36055247›Full record

ArticleDevelopmental cell2022

4D reconstruction of murine developmental trajectories using spherical harmonics.

Giovanni Dalmasso, Marco Musy, Martina Niksic, Alexandre Robert-Moreno, Claudio Badía-Careaga, Juan Jose Sanz-Ezquerro, James Sharpe

Open access · hybridAbstract read
In one paragraph

Article in Developmental cell, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. A quantitative coordinate system for developmental dynamics.bioRxiv : the preprint server for biology · 2026
    Article
  2. Bridging developmental and statistical approaches to variation and evolution.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Imaging Approaches and the Quantitative Analysis of Heart Development.Journal of cardiovascular development and disease · 2023
    Review
  12. 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

7 authors at 4 institutions in 1 country.

Giovanni DalmassoEuropean Molecular Biology Laboratory (EMBL-Barcelona), 08003 Barcelona, Spain. Electronic address: giovanni.dalmasso@embl.es.
Marco MusyEuropean Molecular Biology Laboratory (EMBL-Barcelona), 08003 Barcelona, Spain.
Martina NiksicCentre for Genomic Regulation (CRG), 08003 Barcelona, Spain.
Alexandre Robert-MorenoEuropean Molecular Biology Laboratory (EMBL-Barcelona), 08003 Barcelona, Spain.
Claudio Badía-CareagaCentro Nacional de Investigaciones Cardiovasculares (CNIC), 28029 Madrid, Spain.
Juan Jose Sanz-EzquerroCentro Nacional de Investigaciones Cardiovasculares (CNIC), 28029 Madrid, Spain; Centro Nacional de Biotecnologia (CSIC Madrid), 28049 Madrid, Spain.
James SharpeEuropean Molecular Biology Laboratory (EMBL-Barcelona), 08003 Barcelona, Spain; Institució Catalana de Recerca i Estudis Avançats (ICREA), 08010 Barcelona, Spain. Electronic address: james.sharpe@embl.es.
European Molecular Biology Laboratory · ESCentre for Genomic Regulation · ESCentro Nacional de Biotecnología · ESSpanish National Centre for Cardiovascular Research · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Normal organogenesis cannot be recapitulated in vitro for mammalian organs, unlike in species including Drosophila and zebrafish. Available 3D data in the form of ex vivo images only provide discrete snapshots of the development of an organ morphology. Here, we propose a computer-based approach to recreate its continuous evolution in time and space from a set of 3D volumetric images. Our method is based on the remapping of shape data into the space of the coefficients of a spherical harmonics expansion where a smooth interpolation over time is simpler. We tested our approach on mouse limb buds and embryonic hearts. A key advantage of this method is that the resulting 4D trajectory can take advantage of all the available data while also being able to interpolate well through time intervals for which there are little or no data. This allows for a quantitative, data-driven 4D description of mouse limb morphogenesis.

Indexed as

Imaging, Three-DimensionalOrganogenesisAlgorithmsAnimalsMammalsMiceheart growthlimb growthmorphogenesismouse developmentOPTspherical harmonicsvoxel data

Identifiers

PMID36055247
PMCPMC9481268
OpenAlexW4294013150

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.