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Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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AML Single Cell RNA-seq Datasets (Zeng et al. 2025)

Authors: Zeng, Andy;

AML Single Cell RNA-seq Datasets (Zeng et al. 2025)

Abstract

This includes processed scRNA-seq profiles from the 21 AML studies included in the analysis of Zeng et al. Blood Cancer Discovery 2025 (DOI: 10.1158/2643-3230.BCD-24-0342). For each of these studies, single-cell transcriptomes were projected onto BoneMarrowMap, followed by cell-type classification, pseudotime projections, and scoring of various leukemia stem cell (LSC)-related signatures. This amounts to approximately ~1.2 million leukemia cells and an additional ~600,000 non-leukemic immune cells. Some healthy control samples have also been included within this dataset. Separate RDS files are provided for each study, but the metadata annotations and UMAP projections are uniformly generated. A CSV file has been provided with metadata for all ~1.8 million cells spanning the 21 AML scRNA-seq studies, and descriptions for each metadata column are included as a separate XLSX file. Please see the Blood Cancer Discovery paper for references to each original study from which each scRNA-seq dataset is derived. For more information on the BoneMarrowMap reference atlas of scRNA-seq across human hematopoietic differentiation, please see below: CellxGene Dataset: https://cellxgene.cziscience.com/collections/f6c50495-3361-40ed-a819-fb9644396ed9 Github R Package: https://github.com/andygxzeng/BoneMarrowMap

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research