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Strasser, M. ; Hoppe, P.S.* ; Loeffler, D.* ; Kokkaliaris, K.D.* ; Schroeder, T.* ; Theis, F.J. ; Marr, C.

Lineage marker synchrony in hematopoietic genealogies refutes the PU.1/GATA1 toggle switch paradigm.

Nat. Commun. 9:2697 (2018)
Verlagsversion Postprint Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Molecular regulation of cell fate decisions underlies health and disease. To identify molecules that are active or regulated during a decision, and not before or after, the decision time point is crucial. However, cell fate markers are usually delayed and the time of decision therefore unknown. Fortunately, dividing cells induce temporal correlations in their progeny, which allow for retrospective inference of the decision time point. We present a computational method to infer decision time points from correlated marker signals in genealogies and apply it to differentiating hematopoietic stem cells. We find that myeloid lineage decisions happen generations before lineage marker onsets. Inferred decision time points are in agreement with data from colony assay experiments. The levels of the myeloid transcription factor PU.1 do not change during, but long after the predicted lineage decision event, indicating that the PU.1/GATA1 toggle switch paradigm cannot explain the initiation of early myeloid lineage choice.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Stem-cells; Haemogenic Endothelium; Transcription Factors; Gene-expression; Dynamics; Differentiation; Pu.1; Model; Commitment; Choice
Sprache
Veröffentlichungsjahr 2018
HGF-Berichtsjahr 2018
ISSN (print) / ISBN 2041-1723
e-ISSN 2041-1723
Zeitschrift Nature Communications
Quellenangaben Band: 9, Heft: 1, Seiten: , Artikelnummer: 2697 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus Peer reviewed
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-503800-001
Scopus ID 85050008636
PubMed ID 30002371
Erfassungsdatum 2018-07-16