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Dataset Information

Comprehensive analysis of single-cell RNA sequencing data from healthy human marrow hematopoietic cells.


ABSTRACT:

Objective

Single cell methodology enables detection and quantification of transcriptional changes and unravelling dynamic aspects of the transcriptional heterogeneity not accessible using bulk sequencing approaches. We have applied single-cell RNA-sequencing (scRNA-seq) to fresh human bone marrow CD34+ cells and profiled 391 single hematopoietic stem/progenitor cells (HSPCs) from healthy donors to characterize lineage- and stage-specific transcription during hematopoiesis.

Results

Cells clustered into six distinct groups, which could be assigned to known HSPC subpopulations based on lineage specific genes. Reconstruction of differentiation trajectories in single cells revealed four committed lineages derived from HSCs, as well as dynamic expression changes underly

SUBMITTER: Zhao X 

PROVIDER: S-EPMC7653854 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature