Show simple item record

dc.contributor.authorTusi, Betsabeh Khoramian
dc.contributor.authorWolock, Samuel L
dc.contributor.authorWeinreb, Caleb
dc.contributor.authorHwang, Yung
dc.contributor.authorHidalgo, Daniel
dc.contributor.authorZilionis, Rapolas
dc.contributor.authorWaisman, Ari
dc.contributor.authorHuh, Jun R
dc.contributor.authorKlein, Allon M
dc.contributor.authorSocolovsky, Merav
dc.date.accessioned2022-10-20T15:21:27Z
dc.date.available2022-10-20T15:21:27Z
dc.date.issued2018-02-21
dc.identifier.citationTusi BK, Wolock SL, Weinreb C, Hwang Y, Hidalgo D, Zilionis R, Waisman A, Huh JR, Klein AM, Socolovsky M. Population snapshots predict early haematopoietic and erythroid hierarchies. Nature. 2018 Mar 1;555(7694):54-60. doi: 10.1038/nature25741. Epub 2018 Feb 21. PMID: 29466336; PMCID: PMC5899604.en_US
dc.identifier.eissn1476-4687
dc.identifier.doi10.1038/nature25741en_US
dc.identifier.pmid29466336
dc.identifier.urihttp://hdl.handle.net/20.500.14038/51184
dc.description.abstractThe formation of red blood cells begins with the differentiation of multipotent haematopoietic progenitors. Reconstructing the steps of this differentiation represents a general challenge in stem-cell biology. Here we used single-cell transcriptomics, fate assays and a theory that allows the prediction of cell fates from population snapshots to demonstrate that mouse haematopoietic progenitors differentiate through a continuous, hierarchical structure into seven blood lineages. We uncovered coupling between the erythroid and the basophil or mast cell fates, a global haematopoietic response to erythroid stress and novel growth factor receptors that regulate erythropoiesis. We defined a flow cytometry sorting strategy to purify early stages of erythroid differentiation, completely isolating classically defined burst-forming and colony-forming progenitors. We also found that the cell cycle is progressively remodelled during erythroid development and during a sharp transcriptional switch that ends the colony-forming progenitor stage and activates terminal differentiation. Our work showcases the utility of linking transcriptomic data to predictive fate models, and provides insights into lineage development in vivo.en_US
dc.language.isoenen_US
dc.relation.ispartofNatureen_US
dc.relation.urlhttps://doi.org/10.1038/nature25741en_US
dc.subjectCell biologyen_US
dc.subjectDifferentiationen_US
dc.titlePopulation snapshots predict early haematopoietic and erythroid hierarchiesen_US
dc.typeJournal Articleen_US
dc.source.journaltitleNature
dc.source.volume555
dc.source.issue7694
dc.source.beginpage54
dc.source.endpage60
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryUnited States
dc.source.countryEngland
dc.identifier.journalNature
dc.contributor.departmentMolecular, Cell and Cancer Biologyen_US
dc.contributor.departmentPediatricsen_US


This item appears in the following Collection(s)

Show simple item record