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Assessing evolutionary and developmental transcriptome dynamics in homologous cell types
BACKGROUND: During 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 struc...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545966/ https://www.ncbi.nlm.nih.gov/pubmed/34114716 http://dx.doi.org/10.1002/dvdy.384 |
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author | Feregrino, Christian Tschopp, Patrick |
author_facet | Feregrino, Christian Tschopp, Patrick |
author_sort | Feregrino, Christian |
collection | PubMed |
description | BACKGROUND: During 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. RESULTS: Here, 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. CONCLUSIONS: We 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. |
format | Online Article Text |
id | pubmed-9545966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95459662022-10-14 Assessing evolutionary and developmental transcriptome dynamics in homologous cell types Feregrino, Christian Tschopp, Patrick Dev Dyn Research Articles BACKGROUND: During 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. RESULTS: Here, 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. CONCLUSIONS: We 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. John Wiley & Sons, Inc. 2021-06-16 2022-09 /pmc/articles/PMC9545966/ /pubmed/34114716 http://dx.doi.org/10.1002/dvdy.384 Text en © 2021 The Authors. Developmental Dynamics published by Wiley Periodicals LLC on behalf of American Association for Anatomy. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Feregrino, Christian Tschopp, Patrick Assessing evolutionary and developmental transcriptome dynamics in homologous cell types |
title | Assessing evolutionary and developmental transcriptome dynamics in homologous cell types |
title_full | Assessing evolutionary and developmental transcriptome dynamics in homologous cell types |
title_fullStr | Assessing evolutionary and developmental transcriptome dynamics in homologous cell types |
title_full_unstemmed | Assessing evolutionary and developmental transcriptome dynamics in homologous cell types |
title_short | Assessing evolutionary and developmental transcriptome dynamics in homologous cell types |
title_sort | assessing evolutionary and developmental transcriptome dynamics in homologous cell types |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545966/ https://www.ncbi.nlm.nih.gov/pubmed/34114716 http://dx.doi.org/10.1002/dvdy.384 |
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