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Clonally resolved single-cell multi-omics identifies routes of cellular differentiation in acute myeloid leukemia

In this study we generated single-cell whole transcriptome and surface marker expression data for 24 samples of 19 AML patients as well as one healthy donor. We followed the CITEseq protocol with the 3' 10x Genomics scRNAseq kit version 3.1 To increase the coverage of the mitochondrial genome we generated mitochondrial libraries following a protocol termed Optimized 10x. Based on TAPseq, we generated libraries to increase the coverage of selected nuclear SNVs. Exome sequencing was generated for 15 patients to identify nuclear variants. Bulk ATAC was obtained for 9 samples to facilitate the discovery of mitochondrial SNVs. MutaSeq (modified version of SmartsSeq2) was performed on cells from 3 patients. Targeted DNAseq from single-cell derived colonies was generated for 1 patient.

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Dataset ID Description Technology Samples
EGAD00001010187 Illumina NovaSeq 6000 49
EGAD00001010188 Illumina NovaSeq 6000 18
EGAD00001010189 NextSeq 500 3
EGAD00001010190 Illumina NovaSeq 6000 30
EGAD00001010191 Illumina NovaSeq 6000 24
EGAD00001010192 NextSeq 500 21
EGAD00001010193 NextSeq 500 1