PT - JOURNAL ARTICLE AU - Janssens, Derek H. AU - Wu, Steven J. AU - Sarthy, Jay F. AU - Meers, Michael P. AU - Myers, Carrie H. AU - Olson, James M. AU - Ahmad, Kami AU - Henikoff, Steven TI - Automated <em>in situ</em> profiling of chromatin modifications resolves cell types and gene regulatory programs AID - 10.1101/418681 DP - 2018 Jan 01 TA - bioRxiv PG - 418681 4099 - http://biorxiv.org/content/early/2018/09/16/418681.short 4100 - http://biorxiv.org/content/early/2018/09/16/418681.full AB - Our understanding of eukaryotic gene regulation is limited by the complexity of protein-DNA interactions that comprise the chromatin landscape and by inefficient methods for characterizing these interactions. We recently introduced CUT&amp;RUN, an antibody-targeted nuclease-cleavage method that profiles DNA-binding proteins, histones and chromatin modifying proteins in situ with exceptional sensitivity and resolution. Here we describe an automated CUT&amp;RUN platform and apply it to characterize the chromatin landscapes of human cell lines. We find that CUT&amp;RUN profiles of histone modifications crisply demarcate active and repressed chromatin regions, and we develop a continuous metric to identify cell-type specific promoter and enhancer activities. We test the ability of automated CUT&amp;RUN to profile frozen tumor samples, and find that our method readily distinguishes two diffuse midline gliomas by their subtype-specific gene expression programs. The easy, cost-effective workflow makes automated CUT&amp;RUN an attractive tool for high-throughput characterization of cell types and patient samples.