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Moignard, V.* ; Macaulay, I.C.* ; Swiers, G.* ; Buettner, F. ; Schütte, J.* ; Calero-Nieto, F.J.* ; Kinston, S.* ; Joshi, A.* ; Hannah, R.* ; Theis, F.J. ; Jacobsen, S.E.* ; de Bruijn, M.F.* ; Göttgens, B.*

Characterization of transcriptional networks in blood stem and progenitor cells using high-throughput single-cell gene expression analysis.

Nat. Cell Biol. 15, 363-372 (2013)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Cellular decision-making is mediated by a complex interplay of external stimuli with the intracellular environment, in particular transcription factor regulatory networks. Here we have determined the expression of a network of 18 key haematopoietic transcription factors in 597 single primary blood stem and progenitor cells isolated from mouse bone marrow. We demonstrate that different stem/progenitor populations are characterized by distinctive transcription factor expression states, and through comprehensive bioinformatic analysis reveal positively and negatively correlated transcription factor pairings, including previously unrecognized relationships between Gata2, Gfi1 and Gfi1b. Validation using transcriptional and transgenic assays confirmed direct regulatory interactions consistent with a regulatory triad in immature blood stem cells, where Gata2 may function to modulate cross-inhibition between Gfi1 and Gfi1b. Single-cell expression profiling therefore identifies network states and allows reconstruction of network hierarchies involved in controlling stem cell fate choices, and provides a blueprint for studying both normal development and human disease.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Hematopoietic Stem ; Lineage-commitment ; Megakaryocyte Development ; Regulatory Networks ; Endothelial-cells ; Leukemia Gene ; Factor Nf-e2 ; B-cells ; C-kit ; Gata-2
Sprache englisch
Veröffentlichungsjahr 2013
HGF-Berichtsjahr 2013
ISSN (print) / ISBN 1465-7392
e-ISSN 1476-4679
Zeitschrift Nature Cell Biology
Quellenangaben Band: 15, Heft: 4, Seiten: 363-372 Artikelnummer: , Supplement: ,
Verlag Nature Publishing Group
Begutachtungsstatus Peer reviewed
POF Topic(s) 30505 - New Technologies for Biomedical Discoveries
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-503700-004
PubMed ID 23524953
Scopus ID 84876471008
Erfassungsdatum 2013-05-03