Michael P. Meers

This study identifies how the N-terminus of p63 isoforms mediates differential cofactor interactions, influencing transcriptional activity and apoptosis regulation.

The paper identifies distinct transcriptional and epigenetic profiles of brain-engrafted monocyte-derived macrophages compared to microglia, showing their origin from peripheral blood and skull bone marrow.

The paper identifies intermediate methylation regions in normal cells as epimutation hotspots in cancer, showing they are prone to clonal epimutations in leukemia and other cancers.

The paper introduces a high-throughput microplate-based CUT&Tag protocol for parallel processing of 96 samples, achieving comparable quality to benchtop methods.

The paper shows that H3.2 and H3.3 K36 residues have distinct roles in maintaining Polycomb silencing of Hox genes through different mechanisms, enabling development.

This study introduces MulTI-Tag, a method to profile multiple chromatin features in single cells, revealing coordinated regulatory patterns and novel histone mark associations.

The paper describes a modified CUT&Tag protocol that profiles both active and repressive regulatory elements in single cells using computational signal deconvolution.

The paper develops an automated CUT&Tag method to profile chromatin occupancy of KMT2A fusion proteins in leukemia samples, revealing epigenomic heterogeneity and therapeutic sensitivity.

This study shows that H3.1 and H3.3 K27M oncohistones affect chromatin landscapes differently in DMG cells, with H3.1K27M leading to loss of H3K27 trimethylation.

The paper introduces four enhancements to the CUT&RUN method to improve chromatin profiling accuracy and efficiency.

The paper introduces an automated CUT&RUN platform to profile chromatin modifications in human cell lines and tumor samples, revealing cell-type specific gene regulatory programs.

The paper uses high-depth TSS mapping in D. melanogaster to identify novel initiation events and characterize enhancer-associated RNAs (eRNAs) in a developmental context.

This study replaces H3K36 with arginine in Drosophila to show H3K36 methylation maintains transcriptome fidelity through post-transcriptional mechanisms involving polyadenylation.