<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Tusi BK</submitter><funding>NIDDK NIH HHS</funding><funding>NIGMS NIH HHS</funding><pagination>54-60</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5899604</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>555(7694)</volume><pubmed_abstract>The 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.</pubmed_abstract><journal>Nature</journal><pubmed_title>Population snapshots predict early haematopoietic and erythroid hierarchies.</pubmed_title><pmcid>PMC5899604</pmcid><funding_grant_id>R01 DK100915</funding_grant_id><funding_grant_id>R01 DK099281</funding_grant_id><funding_grant_id>T32 GM080177</funding_grant_id><pubmed_authors>Huh JR</pubmed_authors><pubmed_authors>Tusi BK</pubmed_authors><pubmed_authors>Wolock SL</pubmed_authors><pubmed_authors>Hidalgo D</pubmed_authors><pubmed_authors>Socolovsky M</pubmed_authors><pubmed_authors>Waisman A</pubmed_authors><pubmed_authors>Weinreb C</pubmed_authors><pubmed_authors>Zilionis R</pubmed_authors><pubmed_authors>Hwang Y</pubmed_authors><pubmed_authors>Klein AM</pubmed_authors></additional><is_claimable>false</is_claimable><name>Population snapshots predict early haematopoietic and erythroid hierarchies.</name><description>The 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.</description><dates><release>2018-01-01T00:00:00Z</release><publication>2018 Mar</publication><modification>2024-12-04T10:37:59.278Z</modification><creation>2019-03-26T23:51:50Z</creation></dates><accession>S-EPMC5899604</accession><cross_references><pubmed>29466336</pubmed><doi>10.1038/nature25741</doi></cross_references></HashMap>