Evidence map›Paper›PMID 34114716›Full record

ArticleDevelopmental dynamics : an official publication of the American Association of Anatomists2022

Assessing evolutionary and developmental transcriptome dynamics in homologous cell types.

Christian Feregrino, Patrick Tschopp

Abstract read
In one paragraph

Article in Developmental dynamics : an official publication of the American Association of Anatomists, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

38 citing papers in PubMed.

  1. Distinct cell type-specific mechanisms underlie cognitive dysfunction during persistent integrated stress response activation.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  6. Evaluating the Utilities of Foundation Models in Single-Cell Data Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  9. Capturing gene-cell duality in a cat's cradle.Bioinformatics (Oxford, England) · 2026
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  12. Review
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  15. MCSPNature cancer · 2025
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  18. The frequency of CD38Nature communications · 2024
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  19. Article
  20. Myotube Guidance: Shaping up the Musculoskeletal System.Journal of developmental biology · 2024
    Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Christian FeregrinoDUW Zoology, University of Basel, Basel, Switzerland.ORCID 0000-0003-0300-5483
Patrick TschoppDUW Zoology, University of Basel, Basel, Switzerland.ORCID 0000-0001-7339-3990

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring development, complex organ patterns emerge through the precise temporal and spatial specification of different cell types. On an evolutionary timescale, these patterns can change, resulting in morphological diversification. It is generally believed that homologous anatomical structures are built-largely-by homologous cell types. However, whether a common evolutionary origin of such cell types is always reflected in the conservation of their intrinsic transcriptional specification programs is less clear.

resultsHere, we developed a user-friendly bioinformatics workflow to detect gene co-expression modules and test for their conservation across developmental stages and species boundaries. Using a paradigm of morphological diversification, the tetrapod limb, and single-cell RNA-sequencing data from two distantly related species, chicken and mouse, we assessed the transcriptional dynamics of homologous cell types during embryonic patterning. With mouse limb data as reference, we identified 19 gene co-expression modules with varying tissue or cell type-restricted activities. Testing for co-expression conservation revealed modules with high evolutionary turnover, while others seemed maintained-to different degrees, in module make-up, density or connectivity-over developmental and evolutionary timescales.

conclusionsWe present an approach to identify evolutionary and developmental dynamics in gene co-expression modules during patterning-relevant stages of homologous cell type specification using single-cell RNA-sequencing data.

Indexed as

Allogeneic CellsTranscriptomeAnimalsBiological EvolutionExtremitiesMiceRNARNAcell-extrinsic signaling environmentscell-intrinsic transcriptional programsEvoDevoevolution of gene expressiongene co-expression moduleslimb developmentWGCNA

Identifiers

PMID34114716
PMCPMC9545966

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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.