Mutation tracking in single cell RNA-Seq reveals consequences of subclonal evolution in acute myeloid leukemia

Total bone marrow from AML patients was FACS index sorted with staining for Lineage markers (Lin), CD33, CD34, CD38, CD45RA, CD90, CD99, Tim3 and GPR56, and enrichment for Lin- and Lin-CD34+ cells. Single cells were subjected to a modified smart-seq2 protocol with targeting of mutant sites of interest ("MutaSeq”).

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 2 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001006228	The following samples were generated from the patient samples used in the study: - Bulk DNA sequencing specifically targeting mutated sites of interest derived from clonal cell populations (288 monoclonal colonies - 2 replicates). - Targeted Muta-seq method (Patient P342: 2208 cells, Patient HRK: 1066 cells, Patient LAK: 618 cells, Patient P101: 1080 cells) - Smart-seq2 method (Patient P342 - 768 individual cells).	Illumina MiSeq NextSeq 500	4

Publications	Citations
Identification of leukemic and pre-leukemic stem cells by clonal tracking from single-cell transcriptomics. Velten L, Story BA, Hernández-Malmierca P, Raffel S, Leonce DR, Milbank J, Paulsen M, Demir A, Szu-Tu C, Frömel R, Lutz C, Nowak D, Jann JC, Pabst C, Boch T, Hofmann WK, Müller-Tidow C, Trumpp A, Haas S, Steinmetz LM. Nat Commun 12: 2021 1366	63
Identifying cancer cells from calling single-nucleotide variants in scRNA-seq data. Marot-Lassauzaie V, Beneyto-Calabuig S, Obermayer B, Velten L, Beule D, Haghverdi L. Bioinformatics 40: 2024 btae512	1