Single-cell, multi-omic analysis identifies regulatory programs in mixed phenotype acute leukemia
We present a single-cell framework that integrates highly multiplexed protein quantification, transcriptome profiling, and chromatin accessibility analysis. Using this approach, we establish a normal epigenetic baseline for healthy blood development, which we then use to deconvolve aberrant molecular features within blood from mixed-phenotype acute leukemia (MPAL) patients.
Provenance — who produced it, who reused it
Linked to 19 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
- ArchR is a scalable software package for integrative single-cell... 2021 · 1,452 cites
- Jointly defining cell types from multiple single-cell datasets u... 2020 · 218 cites
16 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently