Phylodynamics for cell biologists.


Journal

Science (New York, N.Y.)
ISSN: 1095-9203
Titre abrégé: Science
Pays: United States
ID NLM: 0404511

Informations de publication

Date de publication:
15 01 2021
Historique:
received: 12 04 2019
accepted: 13 08 2020
entrez: 15 1 2021
pubmed: 16 1 2021
medline: 10 2 2021
Statut: ppublish

Résumé

Multicellular organisms are composed of cells connected by ancestry and descent from progenitor cells. The dynamics of cell birth, death, and inheritance within an organism give rise to the fundamental processes of development, differentiation, and cancer. Technical advances in molecular biology now allow us to study cellular composition, ancestry, and evolution at the resolution of individual cells within an organism or tissue. Here, we take a phylogenetic and phylodynamic approach to single-cell biology. We explain how "tree thinking" is important to the interpretation of the growing body of cell-level data and how ecological null models can benefit statistical hypothesis testing. Experimental progress in cell biology should be accompanied by theoretical developments if we are to exploit fully the dynamical information in single-cell data.

Identifiants

pubmed: 33446527
pii: 371/6526/eaah6266
doi: 10.1126/science.aah6266
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Auteurs

T Stadler (T)

Department of Biosystems Science and Engineering, ETH Zürich, Switzerland. tanja.stadler@bsse.ethz.ch oliver.pybus@zoo.ox.ac.uk mstumpf@unimelb.edu.au.
Swiss Institute of Bioinformatics, Lausanne, Switzerland.

O G Pybus (OG)

Department of Zoology, University of Oxford, Oxford, UK. tanja.stadler@bsse.ethz.ch oliver.pybus@zoo.ox.ac.uk mstumpf@unimelb.edu.au.

M P H Stumpf (MPH)

Melbourne Integrative Genomics, School of BioSciences and School of Mathematics and Statistics, University of Melbourne, Melbourne, Australia. tanja.stadler@bsse.ethz.ch oliver.pybus@zoo.ox.ac.uk mstumpf@unimelb.edu.au.

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Classifications MeSH