Literature DB >> 31249009

Exploring single cells in space and time during tissue development, homeostasis and regeneration.

Urs Mayr1,2, Denise Serra1,2, Prisca Liberali3,2.   

Abstract

Complex 3D tissues arise during development following tightly organized events in space and time. In particular, gene regulatory networks and local interactions between single cells lead to emergent properties at the tissue and organism levels. To understand the design principles of tissue organization, we need to characterize individual cells at given times, but we also need to consider the collective behavior of multiple cells across different spatial and temporal scales. In recent years, powerful single cell methods have been developed to characterize cells in tissues and to address the challenging questions of how different tissues are formed throughout development, maintained in homeostasis, and repaired after injury and disease. These approaches have led to a massive increase in data pertaining to both mRNA and protein abundances in single cells. As we review here, these new technologies, in combination with in toto live imaging, now allow us to bridge spatial and temporal information quantitatively at the single cell level and generate a mechanistic understanding of tissue development.
© 2019. Published by The Company of Biologists Ltd.

Entities:  

Keywords:  Cell-to-cell variability; Gene regulatory networks; Local interactions; Multiplexed imaging; Single cell

Year:  2019        PMID: 31249009     DOI: 10.1242/dev.176727

Source DB:  PubMed          Journal:  Development        ISSN: 0950-1991            Impact factor:   6.868


  14 in total

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Journal:  Development       Date:  2019-06-27       Impact factor: 6.868

Review 2.  What is a cell type and how to define it?

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Journal:  Cell       Date:  2022-07-21       Impact factor: 66.850

3.  In vivo 3D profiling of site-specific human cancer cell morphotypes in zebrafish.

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4.  Editorial: Machine Learning and Mathematical Models for Single-Cell Data Analysis.

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Journal:  Front Genet       Date:  2022-06-03       Impact factor: 4.772

Review 5.  Single-cell analysis of cell identity in the Arabidopsis root apical meristem: insights and opportunities.

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Journal:  J Exp Bot       Date:  2021-10-13       Impact factor: 7.298

Review 6.  Recording development with single cell dynamic lineage tracing.

Authors:  Aaron McKenna; James A Gagnon
Journal:  Development       Date:  2019-06-27       Impact factor: 6.868

7.  LISA2: Learning Complex Single-Cell Trajectory and Expression Trends.

Authors:  Yang Chen; Yuping Zhang; James Y H Li; Zhengqing Ouyang
Journal:  Front Genet       Date:  2021-08-23       Impact factor: 4.599

Review 8.  Cell Tracking for Organoids: Lessons From Developmental Biology.

Authors:  Max A Betjes; Xuan Zheng; Rutger N U Kok; Jeroen S van Zon; Sander J Tans
Journal:  Front Cell Dev Biol       Date:  2021-06-03

9.  APC mutations in human colon lead to decreased neuroendocrine maturation of ALDH+ stem cells that alters GLP-2 and SST feedback signaling: Clue to a link between WNT and retinoic acid signalling in colon cancer development.

Authors:  Tao Zhang; Koree Ahn; Brooks Emerick; Shirin R Modarai; Lynn M Opdenaker; Juan Palazzo; Gilberto Schleiniger; Jeremy Z Fields; Bruce M Boman
Journal:  PLoS One       Date:  2020-10-28       Impact factor: 3.240

Review 10.  Single-cell genomics to understand disease pathogenesis.

Authors:  Seitaro Nomura
Journal:  J Hum Genet       Date:  2020-09-19       Impact factor: 3.172

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