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. Author manuscript; available in PMC: 2022 Jun 1.
Published in final edited form as: Cancer Discov. 2021 Dec 1;11(12):3048–3063. doi: 10.1158/2159-8290.CD-21-0276

Fig. 5. Accessible chromatin and mtDNA mutational dynamics during transformation to Richter’s syndrome.

Fig. 5.

(A) Circulating white blood cell count (CLL9). Analyzed samples are peripheral blood during CLL phase (CLL; black) and peripheral blood, bone marrow and lymph node at time of Richter’s transformation (Richter; magenta).

(B) UMAP plot of CLL, Richter’s and immune cells based on chromatin profiles (n=30,395) with identification of CD4+ T cells, CD8+ T cells, physiologic B cells, CLL cells from peripheral blood (PB), Richter’s cells from lymph node (LN), peripheral blood and bone marrow (BM).

(C) Heteroplasmy of mtDNA mutations and inferred copy number changes from scATAC-seq data of cells in clusters identified in (B). Only cells with at least one detectable mtDNA mutation are shown.

(D) Heteroplasmy of 3412G>A and 9553G>A in Richter’s cells. Coloring of dots indicates sequencing coverage (20-350x). Inset table shows number of cells with both, either one or none of the mutations detectable.

(E) Distribution of heteroplasmy of 3412G>A (blue) or 9553G>A (red) in Richter’s cells.

(F) Differential chromatin accessibility of transcription factor motifs between CLL (CLL PB1, CLL PB2) and Richter’s cells (Richter LN1, Richter LN2, Richter PB, Richter BM). Precision limit for adjusted p-value 2.6e-297.

(G) Chromatin accessibility of POU2F2 motif across clusters.

(H) Differential gene expression of scRNA-seq profiles of CLL cells from peripheral blood (CLL PB; black) and Richter’s cells from peripheral blood (Richter PB; magenta) or bone marrow (Richter BM; magenta).