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

ABSTRACT: 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.

SUBMITTER: Janssens DH

PROVIDER: S-EPMC8571097 | biostudies-literature |

REPOSITORIES: biostudies-literature

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

Project description:Acute myeloid and lymphoid leukemias often harbor chromosomal translocations involving the Mixed Lineage Leukemia-1 gene, which encodes the KMT2A lysine methyltransferase. The most common translocations produce in-frame fusions of KMT2A to trans-activation domains of chromatin regulatory proteins. Here we develop a strategy to map the genome-wide occupancy of oncogenic KMT2A fusion proteins in primary patient samples regardless of fusion partner. By modifying the versatile CUT&Tag method for full automation we identify common and tumor-specific patterns of aberrant chromatin regulation induced by different KMT2A fusion proteins. Integration of automated and single-cell CUT&Tag uncovers lineage heterogeneity within patient samples and provides an attractive avenue for future diagnostics.

2021-06-10 | GSE159608 | GEO

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

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

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Efficient low-cost chromatin profiling with CUT&Tag.

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Project description:Previously, we described a novel alternative to chromatin immunoprecipitation, CUT&RUN, in which unfixed permeabilized cells are incubated with antibody, followed by binding of a protein A-Micrococcal Nuclease (pA/MNase) fusion protein (Skene and Henikoff, 2017). Here we introduce three enhancements to CUT&RUN: A hybrid protein A-Protein G-MNase construct that expands antibody compatibility and simplifies purification, a modified digestion protocol that inhibits premature release of the nuclease-bound complex, and a calibration strategy based on carry-over of E. coli DNA introduced with the fusion protein. These new features, coupled with the previously described low-cost, high efficiency, high reproducibility and high-throughput capability of CUT&RUN make it the method of choice for routine epigenomic profiling.

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Aberrant chromatin at genes encoding stem cell regulators in human mixed-lineage leukemia.

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High-Resolution Chromatin Profiling Using CUT&RUN.

Project description:Determining the genomic location of DNA-binding proteins is essential to understanding their function. Cleavage Under Targets and Release Using Nuclease (CUT&RUN) is a powerful method for mapping protein-DNA interactions at high resolution. In CUT&RUN, a recombinant protein A-microccocal nuclease (pA-MN) fusion is recruited by an antibody targeting the chromatin protein of interest; this can be done with either uncrosslinked or formaldehyde-crosslinked cells. DNA fragments near sites of antibody binding are released from the insoluble bulk chromatin through endonucleolytic cleavage and used to build barcoded DNA-sequencing libraries that can be sequenced in pools of at least 30. Therefore, CUT&RUN provides an alternative to ChIP-seq approaches for mapping chromatin proteins, which typically have relatively high signal-to-noise ratios, while using fewer cells and at a lower cost. Here, we describe the methods for performing CUT&RUN, generating DNA-sequencing libraries, and analyzing the resulting datasets. © 2019 by John Wiley & Sons, Inc.

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