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


Journal

Development (Cambridge, England)
ISSN: 1477-9129
Titre abrégé: Development
Pays: England
ID NLM: 8701744

Informations de publication

Date de publication:
27 06 2019
Historique:
entrez: 29 6 2019
pubmed: 30 6 2019
medline: 24 6 2020
Statut: epublish

Résumé

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

Identifiants

pubmed: 31249009
pii: 146/12/dev176727
doi: 10.1242/dev.176727
pii:
doi:

Substances chimiques

Proteome 0
RNA, Messenger 0
RNA, Small Cytoplasmic 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : European Research Council
ID : 758617
Pays : International

Informations de copyright

© 2019. Published by The Company of Biologists Ltd.

Déclaration de conflit d'intérêts

Competing interestsThe authors declare no competing or financial interests.

Auteurs

Urs Mayr (U)

Department of Quantitative Biology, Friedrich Miescher Institute for Biomedical Research (FMI), Maulbeerstrasse 66, 4058 Basel, Switzerland.
University of Basel, Petersplatz 1, 4001 Basel, Switzerland.

Denise Serra (D)

Department of Quantitative Biology, Friedrich Miescher Institute for Biomedical Research (FMI), Maulbeerstrasse 66, 4058 Basel, Switzerland.
University of Basel, Petersplatz 1, 4001 Basel, Switzerland.

Prisca Liberali (P)

Department of Quantitative Biology, Friedrich Miescher Institute for Biomedical Research (FMI), Maulbeerstrasse 66, 4058 Basel, Switzerland prisca.liberali@fmi.ch.
University of Basel, Petersplatz 1, 4001 Basel, Switzerland.

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Classifications MeSH