Fig. 1: Identifying B-cell development stages using scRNAseq and CITE-Seq. | Nature Communications

Fig. 1: Identifying B-cell development stages using scRNAseq and CITE-Seq.

From: Single-cell analysis identifies dynamic gene expression networks that govern B cell development and transformation

Fig. 1

a Schematic of the experimental setup. WT wild type. b UMAP dimension-reduction projection of all cells (n = 7454) from two wild-type C57BL6 mice. Fourteen clusters were identified and the corresponding population names for each cluster are listed (Pre-BCRd pre-BCR-dependent, Pre-BCRi pre-BCR-independent) c Feature plot of cells that are labeled according to their cell cycle status based on gene expression (left) and Mki67 transcription expression (right). Cell cycle status was determined by the average expression of gene sets representing each cell cycle, including postmitotic G1 phase (G1PM), S phase, or G2/M phase, and cells that did not harbor any of these signatures were labeled as G0/G1. Color scale represents natural log-transformed SCTransform corrected counts. d Feature plot of cells for their CITE-Seq/ADT antibody expression (top row) and the corresponding gene transcript expression (bottom row). Color scale represents centered natural log transformation across cells. adt antibody-derived tags.

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