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 |
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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.
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NextSeq 500 | 30 |
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