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Longitudinal single-cell transcriptomics reveals distinct patterns of recurrence in acute myeloid leukemia

Type: RNASeq
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
EGAD00001008373	To gain insight into the clonal heterogeneity of diagnosis (Dx) and relapse (Re) pairs, we employed single-cell RNA-seq (SORT-seq) to longitudinally profile two t(8;21) (AML1-ETO = RUNX1-RUNX1T1), and four FLT3-ITD AML cases. All the samples are Bone marrow aspirates.	NextSeq 500	30

Publications	Citations
Longitudinal single-cell transcriptomics reveals distinct patterns of recurrence in acute myeloid leukemia. Zhai Y, Singh P, Dolnik A, Brazda P, Atlasy N, Del Gaudio N, Döhner K, Döhner H, Minucci S, Martens J, Altucci L, Megchelenbrink W, Bullinger L, Stunnenberg HG. Mol Cancer 21: 2022 166	30
PSMB10 maintains the stemness of chemotherapeutic drug-resistant leukemia cells by inhibiting senescence and cytotoxic T lymphocyte-mediated killing in a ubiquitinated degradation manner. Ma X, Li Y, Wang D, Niu J, Li Q, Chen Y, Wang M, Wen J, Liao C, Wang N, Zhang X, Chang J, Yang J, Li L, Zou J, Peng D, Liu L. J Exp Clin Cancer Res 44: 2025 170	2