A topological view of human CD34+ cell state trajectories from integrated single-cell output and proteomic data

Author:

Knapp David J. H. F.123ORCID,Hammond Colin A.12,Wang Fangwu14,Aghaeepour Nima5,Miller Paul H.12ORCID,Beer Philip A.1,Pellacani Davide1ORCID,VanInsberghe Michael6ORCID,Hansen Carl67,Bendall Sean C.8ORCID,Nolan Garry P.5,Eaves Connie J.124

Affiliation:

1. Terry Fox Laboratory, British Columbia Cancer Agency, Vancouver, BC, Canada;

2. Department of Medicine, University of British Columbia, Vancouver, BC, Canada;

3. Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom;

4. Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada;

5. Baxter Laboratory for Stem Cell Biology, Department of Microbiology and Immunology, Stanford University, Palo Alto, CA;

6. Michael Smith Laboratories and

7. Department of Physics, University of British Columbia, Vancouver, BC, Canada; and

8. Department of Pathology, Stanford University, Palo Alto, CA

Abstract

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.

Publisher

American Society of Hematology

Subject

Cell Biology,Hematology,Immunology,Biochemistry

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