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A topological view of human CD34+ cell state trajectories from integrated single-cell output and proteomic data.
Knapp, David J H F; Hammond, Colin A; Wang, Fangwu; Aghaeepour, Nima; Miller, Paul H; Beer, Philip A; Pellacani, Davide; VanInsberghe, Michael; Hansen, Carl; Bendall, Sean C; Nolan, Garry P; Eaves, Connie J.
Affiliation
  • Knapp DJHF; Terry Fox Laboratory, British Columbia Cancer Agency, Vancouver, BC, Canada.
  • Hammond CA; Department of Medicine, University of British Columbia, Vancouver, BC, Canada.
  • Wang F; Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom.
  • Aghaeepour N; Terry Fox Laboratory, British Columbia Cancer Agency, Vancouver, BC, Canada.
  • Miller PH; Department of Medicine, University of British Columbia, Vancouver, BC, Canada.
  • Beer PA; Terry Fox Laboratory, British Columbia Cancer Agency, Vancouver, BC, Canada.
  • Pellacani D; Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada.
  • VanInsberghe M; Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University, Palo Alto, CA.
  • Hansen C; Terry Fox Laboratory, British Columbia Cancer Agency, Vancouver, BC, Canada.
  • Bendall SC; Department of Medicine, University of British Columbia, Vancouver, BC, Canada.
  • Nolan GP; Terry Fox Laboratory, British Columbia Cancer Agency, Vancouver, BC, Canada.
  • Eaves CJ; Terry Fox Laboratory, British Columbia Cancer Agency, Vancouver, BC, Canada.
Blood ; 133(9): 927-939, 2019 02 28.
Article in En | MEDLINE | ID: mdl-30622121
ABSTRACT
Recent advances in single-cell molecular analytical methods and clonal growth assays are enabling more refined models of human hematopoietic lineage restriction processes to be conceptualized. Here, we report the results of integrating single-cell proteome measurements with clonally determined lymphoid, neutrophilic/monocytic, and/or erythroid progeny outputs from >1000 index-sorted CD34+ human cord blood cells in short-term cultures with and without stromal cells. Surface phenotypes of functionally examined cells were individually mapped onto a molecular landscape of the entire CD34+ compartment constructed from single-cell mass cytometric measurements of 14 cell surface markers, 20 signaling/cell cycle proteins, and 6 transcription factors in ∼300 000 cells. This analysis showed that conventionally defined subsets of CD34+ cord blood cells are heterogeneous in their functional properties, transcription factor content, and signaling activities. Importantly, this molecular heterogeneity was reduced but not eliminated in phenotypes that were found to display highly restricted lineage outputs. Integration of the complete proteomic and functional data sets obtained revealed a continuous probabilistic topology of change that includes a multiplicity of lineage restriction trajectories. Each of these reflects progressive but variable changes in the levels of specific signaling intermediates and transcription factors but shared features of decreasing quiescence. Taken together, our results suggest a model in which increasingly narrowed hematopoietic output capabilities in neonatal CD34+ cord blood cells are determined by a history of external stimulation in combination with innately programmed cell state changes.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Hematopoietic Stem Cells / Cell Lineage / Antigens, CD34 / Proteome / Fetal Blood / Single-Cell Analysis Type of study: Prognostic_studies Limits: Humans Language: En Journal: Blood Year: 2019 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Hematopoietic Stem Cells / Cell Lineage / Antigens, CD34 / Proteome / Fetal Blood / Single-Cell Analysis Type of study: Prognostic_studies Limits: Humans Language: En Journal: Blood Year: 2019 Document type: Article