Automated CUT&Tag profiling of chromatin heterogeneity in mixed-lineage leukemia

Derek H. Janssens, Michael P. Meers, Steven J. Wu, Ekaterina Babaeva, Soheil Meshinchi, Jay F. Sarthy, Kami Ahmad, Steven Henikoff

Research output: Contribution to journalArticlepeer-review

27 Scopus citations


Acute myeloid and lymphoid leukemias often harbor chromosomal translocations involving the KMT2A gene, encoding the KMT2A lysine methyltransferase (also known as mixed-lineage leukemia-1), and produce in-frame fusions of KMT2A to other chromatin-regulatory proteins. Here we map fusion-specific targets across the genome for diverse KMT2A oncofusion proteins in cell lines and patient samples. By modifying CUT&Tag chromatin profiling for full automation, we identify common and tumor-subtype-specific sites of aberrant chromatin regulation induced by KMT2A oncofusion proteins. A subset of KMT2A oncofusion-binding sites are marked by bivalent (H3K4me3 and H3K27me3) chromatin signatures, and single-cell CUT&Tag profiling reveals that these sites display cell-to-cell heterogeneity suggestive of lineage plasticity. In addition, we find that aberrant enrichment of H3K4me3 in gene bodies is sensitive to Menin inhibitors, demonstrating the utility of automated chromatin profiling for identifying therapeutic vulnerabilities. Thus, integration of automated and single-cell CUT&Tag can uncover epigenomic heterogeneity within patient samples and predict sensitivity to therapeutic agents.

Original languageEnglish
Pages (from-to)1586-1596
Number of pages11
JournalNature Genetics
Issue number11
StatePublished - Nov 2021


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