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A multiscale model via single-cell transcriptomics reveals robust patterning mechanisms during early mammalian embryo development
During early mammalian embryo development, a small number of cells make robust fate decisions at particular spatial locations in a tight time window to form inner cell mass (ICM), and later epiblast (Epi) and primitive endoderm (PE). While recent single-cell transcriptomics data allows scrutinizatio...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971879/ https://www.ncbi.nlm.nih.gov/pubmed/33684098 http://dx.doi.org/10.1371/journal.pcbi.1008571 |
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author | Cang, Zixuan Wang, Yangyang Wang, Qixuan Cho, Ken W. Y. Holmes, William Nie, Qing |
author_facet | Cang, Zixuan Wang, Yangyang Wang, Qixuan Cho, Ken W. Y. Holmes, William Nie, Qing |
author_sort | Cang, Zixuan |
collection | PubMed |
description | During early mammalian embryo development, a small number of cells make robust fate decisions at particular spatial locations in a tight time window to form inner cell mass (ICM), and later epiblast (Epi) and primitive endoderm (PE). While recent single-cell transcriptomics data allows scrutinization of heterogeneity of individual cells, consistent spatial and temporal mechanisms the early embryo utilize to robustly form the Epi/PE layers from ICM remain elusive. Here we build a multiscale three-dimensional model for mammalian embryo to recapitulate the observed patterning process from zygote to late blastocyst. By integrating the spatiotemporal information reconstructed from multiple single-cell transcriptomic datasets, the data-informed modeling analysis suggests two major processes critical to the formation of Epi/PE layers: a selective cell-cell adhesion mechanism (via EphA4/EphrinB2) for fate-location coordination and a temporal attenuation mechanism of cell signaling (via Fgf). Spatial imaging data and distinct subsets of single-cell gene expression data are then used to validate the predictions. Together, our study provides a multiscale framework that incorporates single-cell gene expression datasets to analyze gene regulations, cell-cell communications, and physical interactions among cells in complex geometries at single-cell resolution, with direct application to late-stage development of embryogenesis. |
format | Online Article Text |
id | pubmed-7971879 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-79718792021-03-31 A multiscale model via single-cell transcriptomics reveals robust patterning mechanisms during early mammalian embryo development Cang, Zixuan Wang, Yangyang Wang, Qixuan Cho, Ken W. Y. Holmes, William Nie, Qing PLoS Comput Biol Research Article During early mammalian embryo development, a small number of cells make robust fate decisions at particular spatial locations in a tight time window to form inner cell mass (ICM), and later epiblast (Epi) and primitive endoderm (PE). While recent single-cell transcriptomics data allows scrutinization of heterogeneity of individual cells, consistent spatial and temporal mechanisms the early embryo utilize to robustly form the Epi/PE layers from ICM remain elusive. Here we build a multiscale three-dimensional model for mammalian embryo to recapitulate the observed patterning process from zygote to late blastocyst. By integrating the spatiotemporal information reconstructed from multiple single-cell transcriptomic datasets, the data-informed modeling analysis suggests two major processes critical to the formation of Epi/PE layers: a selective cell-cell adhesion mechanism (via EphA4/EphrinB2) for fate-location coordination and a temporal attenuation mechanism of cell signaling (via Fgf). Spatial imaging data and distinct subsets of single-cell gene expression data are then used to validate the predictions. Together, our study provides a multiscale framework that incorporates single-cell gene expression datasets to analyze gene regulations, cell-cell communications, and physical interactions among cells in complex geometries at single-cell resolution, with direct application to late-stage development of embryogenesis. Public Library of Science 2021-03-08 /pmc/articles/PMC7971879/ /pubmed/33684098 http://dx.doi.org/10.1371/journal.pcbi.1008571 Text en © 2021 Cang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Cang, Zixuan Wang, Yangyang Wang, Qixuan Cho, Ken W. Y. Holmes, William Nie, Qing A multiscale model via single-cell transcriptomics reveals robust patterning mechanisms during early mammalian embryo development |
title | A multiscale model via single-cell transcriptomics reveals robust patterning mechanisms during early mammalian embryo development |
title_full | A multiscale model via single-cell transcriptomics reveals robust patterning mechanisms during early mammalian embryo development |
title_fullStr | A multiscale model via single-cell transcriptomics reveals robust patterning mechanisms during early mammalian embryo development |
title_full_unstemmed | A multiscale model via single-cell transcriptomics reveals robust patterning mechanisms during early mammalian embryo development |
title_short | A multiscale model via single-cell transcriptomics reveals robust patterning mechanisms during early mammalian embryo development |
title_sort | multiscale model via single-cell transcriptomics reveals robust patterning mechanisms during early mammalian embryo development |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971879/ https://www.ncbi.nlm.nih.gov/pubmed/33684098 http://dx.doi.org/10.1371/journal.pcbi.1008571 |
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