A Single-Cell Transcriptomic Atlas of Acute Myeloid Leukemia

Applications of single-cell technologies to studying leukemia biology is an ever-expanding field, with a range of emerging datasets coming from different labs using different single cell protocols/technologies. We collate publicly available datasets to create a single-cell transcriptomic atlas of AML (AML scAtlas). For full details on the data, including the studies used, please refer to the related manuscript (https://doi.org/10.1101/2024.10.29.620871).

This dataset consists of 748,679 cells, from 159 AML patients and 44 healthy donors from 20 different studies. Attached is a harmonised AnnData object which is compatible with scverse/Scanpy single-cell tools. The complete analysis code can be found at https://github.com/jesswhitts/AML-scAtlas