Dataset Information

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

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.

SUBMITTER: Knapp DJHF

PROVIDER: S-EPMC6396178 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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A topological view of human CD34<sup>+</sup> cell state trajectories from integrated single-cell output and proteomic data.

Knapp David J H F DJHF Hammond Colin A CA Wang Fangwu F Aghaeepour Nima N Miller Paul H PH Beer Philip A PA Pellacani Davide D VanInsberghe Michael M Hansen Carl C Bendall Sean C SC Nolan Garry P GP Eaves Connie J CJ

Blood 20190108 9

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<sup>+</sup> human cord blood cells in short-term cultures with and without stromal cells. Surface phenotypes ...[more]

PMID: 30622121

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

Publications

A topological view of human CD34<sup>+</sup> cell state trajectories from integrated single-cell output and proteomic data.

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Dataset Information

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

Publications

A topological view of human CD34<sup>+</sup> cell state trajectories from integrated single-cell output and proteomic data.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

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