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

Study ID Alternative Stable ID Type
EGAS00001005819 RNASeq

Study Description

Study Datasets 1 dataset.

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Dataset ID Description Technology Samples
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

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