Literature DB >> 33684098

A multiscale model via single-cell transcriptomics reveals robust patterning mechanisms during early mammalian embryo development.

Zixuan Cang1, Yangyang Wang1, Qixuan Wang2, Ken W Y Cho3, William Holmes4, Qing Nie1,3.   

Abstract

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.

Entities:  

Year:  2021        PMID: 33684098      PMCID: PMC7971879          DOI: 10.1371/journal.pcbi.1008571

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  54 in total

1.  The differential adhesion hypothesis: a direct evaluation.

Authors:  Ramsey A Foty; Malcolm S Steinberg
Journal:  Dev Biol       Date:  2005-02-01       Impact factor: 3.582

2.  Computer simulation of emerging asymmetry in the mouse blastocyst.

Authors:  Hisao Honda; Nami Motosugi; Tatsuzo Nagai; Masaharu Tanemura; Takashi Hiiragi
Journal:  Development       Date:  2008-04       Impact factor: 6.868

3.  Single-Cell RNA-Seq Reveals Cellular Heterogeneity of Pluripotency Transition and X Chromosome Dynamics during Early Mouse Development.

Authors:  Shangli Cheng; Yu Pei; Liqun He; Guangdun Peng; Björn Reinius; Patrick P L Tam; Naihe Jing; Qiaolin Deng
Journal:  Cell Rep       Date:  2019-03-05       Impact factor: 9.423

Review 4.  The Dynamics of Morphogenesis in the Early Mouse Embryo.

Authors:  Jaime A Rivera-Pérez; Anna-Katerina Hadjantonakis
Journal:  Cold Spring Harb Perspect Biol       Date:  2014-06-26       Impact factor: 10.005

5.  Distinct sequential cell behaviours direct primitive endoderm formation in the mouse blastocyst.

Authors:  Berenika Plusa; Anna Piliszek; Stephen Frankenberg; Jérôme Artus; Anna-Katerina Hadjantonakis
Journal:  Development       Date:  2008-09       Impact factor: 6.868

6.  Asymmetric division of contractile domains couples cell positioning and fate specification.

Authors:  Hervé Turlier; Rukshala Illukkumbura; Jean-Léon Maître; Björn Eismann; Ritsuya Niwayama; François Nédélec; Takashi Hiiragi
Journal:  Nature       Date:  2016-08-03       Impact factor: 49.962

7.  Data-driven multiscale modeling reveals the role of metabolic coupling for the spatio-temporal growth dynamics of yeast colonies.

Authors:  Jukka Intosalmi; Adrian C Scott; Michelle Hays; Nicholas Flann; Olli Yli-Harja; Harri Lähdesmäki; Aimée M Dudley; Alexander Skupin
Journal:  BMC Mol Cell Biol       Date:  2019-12-19

8.  Single-Cell Landscape of Transcriptional Heterogeneity and Cell Fate Decisions during Mouse Early Gastrulation.

Authors:  Hisham Mohammed; Irene Hernando-Herraez; Aurora Savino; Antonio Scialdone; Iain Macaulay; Carla Mulas; Tamir Chandra; Thierry Voet; Wendy Dean; Jennifer Nichols; John C Marioni; Wolf Reik
Journal:  Cell Rep       Date:  2017-08-01       Impact factor: 9.423

Review 9.  Integrating machine learning and multiscale modeling-perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences.

Authors:  Mark Alber; Adrian Buganza Tepole; William R Cannon; Suvranu De; Salvador Dura-Bernal; Krishna Garikipati; George Karniadakis; William W Lytton; Paris Perdikaris; Linda Petzold; Ellen Kuhl
Journal:  NPJ Digit Med       Date:  2019-11-25

10.  Phosphoproteomics identifies a bimodal EPHA2 receptor switch that promotes embryonic stem cell differentiation.

Authors:  Rosalia Fernandez-Alonso; Francisco Bustos; Manon Budzyk; Pankaj Kumar; Andreas O Helbig; Jens Hukelmann; Angus I Lamond; Fredrik Lanner; Houjiang Zhou; Evangelia Petsalaki; Greg M Findlay
Journal:  Nat Commun       Date:  2020-03-13       Impact factor: 14.919

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  3 in total

1.  Initial source of heterogeneity in a model for cell fate decision in the early mammalian embryo.

Authors:  Corentin Robert; Francisco Prista von Bonhorst; Yannick De Decker; Geneviève Dupont; Didier Gonze
Journal:  Interface Focus       Date:  2022-06-10       Impact factor: 4.661

2.  A computational model of organism development and carcinogenesis resulting from cells' bioelectric properties and communication.

Authors:  Joao Carvalho
Journal:  Sci Rep       Date:  2022-06-02       Impact factor: 4.996

Review 3.  How a cell decides its own fate: a single-cell view of molecular mechanisms and dynamics of cell-type specification.

Authors:  Maria Mircea; Stefan Semrau
Journal:  Biochem Soc Trans       Date:  2021-12-17       Impact factor: 5.407

  3 in total

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