A Single-Cell Transcriptomic Atlas of Acute Myeloid Leukemia

Large scale integration of published scRNA-seq datasets created a unique single-cell transcriptomic atlas for AML (AML scAtlas), totalling 748,679 cells, from 159 AML patients and 51 healthy donors from 20 different studies. This is the largest single-cell data resource for AML to our knowledge, allowing AML subtype-specific investigations. For full details on the data, including the studies used, please refer to the related manuscript: https://doi.org/10.7554/eLife.104978.2The dataset is also hosted via CELLxGENE for interactive exploration: https://cellxgene.cziscience.com/collections/071b706a-7ea7-47a4-bddf-6457725839fcThe complete analysis code can be found at: https://github.com/jesswhitts/AML-scAtlas