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

1 Dataset 1 Publication

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
EGAD00001008374	To gain insight into the clonal heterogeneity of diagnosis (Dx) and relapse (Re) pairs, we employed RNA-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	12

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	9