| Literature DB >> 27411635 |
Philipp S Hoppe1,2, Michael Schwarzfischer3, Dirk Loeffler1,2, Konstantinos D Kokkaliaris1,2, Oliver Hilsenbeck1,2,3, Nadine Moritz2, Max Endele1,2, Adam Filipczyk2, Adriana Gambardella4, Nouraiz Ahmed1, Martin Etzrodt1, Daniel L Coutu1, Michael A Rieger2, Carsten Marr3, Michael K Strasser3, Bernhard Schauberger2, Ingo Burtscher5, Olga Ermakova6, Antje Bürger7, Heiko Lickert5,8, Claus Nerlov4,9, Fabian J Theis3,10, Timm Schroeder1,2.
Abstract
The mechanisms underlying haematopoietic lineage decisions remain disputed. Lineage-affiliated transcription factors with the capacity for lineage reprogramming, positive auto-regulation and mutual inhibition have been described as being expressed in uncommitted cell populations. This led to the assumption that lineage choice is cell-intrinsically initiated and determined by stochastic switches of randomly fluctuating cross-antagonistic transcription factors. However, this hypothesis was developed on the basis of RNA expression data from snapshot and/or population-averaged analyses. Alternative models of lineage choice therefore cannot be excluded. Here we use novel reporter mouse lines and live imaging for continuous single-cell long-term quantification of the transcription factors GATA1 and PU.1 (also known as SPI1). We analyse individual haematopoietic stem cells throughout differentiation into megakaryocytic-erythroid and granulocytic-monocytic lineages. The observed expression dynamics are incompatible with the assumption that stochastic switching between PU.1 and GATA1 precedes and initiates megakaryocytic-erythroid versus granulocytic-monocytic lineage decision-making. Rather, our findings suggest that these transcription factors are only executing and reinforcing lineage choice once made. These results challenge the current prevailing model of early myeloid lineage choice.Entities:
Mesh:
Substances:
Year: 2016 PMID: 27411635 DOI: 10.1038/nature18320
Source DB: PubMed Journal: Nature ISSN: 0028-0836 Impact factor: 49.962