Study

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

Study ID Alternative Stable ID Type
EGAS00001005818 RNASeq

Study Description

Study Datasets 1 dataset.

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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

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