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Differential gene expression in leukemia is driven by enhancer heterogeneity [CUT&TAG]

GSE297907 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 4 samples Submitted 2025/08/15 Platform GPL34281
Summary
Genetic alterations alone cannot account for the diverse phenotypes of cancer cells. Even cancers with the same driver mutation show significant transcriptional heterogeneity and varied responses to therapy. However, the mechanisms underpinning this heterogeneity remain under-explored. Here, we find that novel enhancer usage is a common feature in acute lymphoblastic leukemia (ALL). In particular, KMT2A::AFF1 ALL, an aggressive leukemia subtype with a poor prognosis and a low mutational burden, exhibits substantial transcriptional heterogeneity between individuals. Using single cell multiome analysis and extensive chromatin profiling, we reveal that much transcriptional heterogeneity in KMT2A::AFF1 ALL is driven by novel enhancer usage. Using high resolution Micro Capture-C in primary patient samples, we also identify patient-specific enhancer activity at key oncogenes such as MEIS1 and RUNX2, driving high levels of expression of both oncogenes in a patient-specific manner. Overall, our data show that enhancer heterogeneity is highly prevalent in KMT2A::AFF1 ALL and may also represent a mechanism for driving transcriptional heterogeneity in cancer more generally.
Published in
Enhancer heterogeneity in acute lymphoblastic leukemia drives differential gene expression in patients
Smith AL, Denny N, Chahrour C et al. · Blood 2025 · PMID 40729681 · doi:10.1182/blood.2024028019
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Direct links to NCBI, no account and no request form: the whole study as GSE297907_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1266701 and SRA study SRP587153. Searching any of these in the dataset finder brings you back here.

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