RNA Polymerase II hypertranscription in cancer FFPE samples.

Hypertranscription is common in human cancers and predicts poor prognosis. However detection of hypertranscription is indirect, relying on accurately quantifying mRNA levels and estimating cell numbers. Previously, we introduced FFPE-CUTAC, a genome-wide method for mapping RNA Polymerase II (RNAPII) in formalin-fixed paraffin-embedded (FFPE) sections. Here we use FFPE-CUTAC to demonstrate genome-wide hypertranscription both in transgene-driven mouse gliomas and in assorted human tumors at active regulatory elements and replication-coupled histone genes with reduced mitochondrial DNA abundance. FFPE-CUTAC identified RNAPII-bound regulatory elements shared among diverse cancers and readily categorized human tumors despite using very small samples and low sequencing depths. Remarkably, RNAPII FFPE-CUTAC identified de novo and precisely mapped HER2 amplifications punctuated by likely selective sweeps including genes encoding direct positive regulators of RNAPII itself. Our results demonstrate that FFPE-CUTAC measurements of hypertranscription and classifications of tumors using small sections provides an affordable and sensitive genome-wide strategy for personalized medicine.

Epigenomic analysis of formalin-fixed paraffin-embedded samples by CUT&Tag.

For more than a century, formalin-fixed paraffin-embedded (FFPE) sample preparation has been the preferred method for long-term preservation of biological material. However, the use of FFPE samples for epigenomic studies has been difficult because of chromatin damage from long exposure to high concentrations of formaldehyde. Previously, we introduced Cleavage Under Targeted Accessible Chromatin (CUTAC), an antibody-targeted chromatin accessibility mapping protocol based on CUT&Tag. Here we show that simple modifications of our CUTAC protocol either in single tubes or directly on slides produce high-resolution maps of paused RNA Polymerase II at enhancers and promoters using FFPE samples. We find that transcriptional regulatory element differences produced by FFPE-CUTAC distinguish between mouse brain tumors and identify and map regulatory element markers with high confidence and precision, including microRNAs not detectable by RNA-seq. Our simple workflows make possible affordable epigenomic profiling of archived biological samples for biomarker identification, clinical applications and retrospective studies.

Histone deposition pathways determine the chromatin landscapes of H3.1 and H3.3 K27M oncohistones.

Lysine 27-to-methionine (K27M) mutations in the H3.1 or H3.3 histone genes are characteristic of pediatric diffuse midline gliomas (DMGs). These oncohistone mutations dominantly inhibit histone H3K27 trimethylation and silencing, but it is unknown how oncohistone type affects gliomagenesis. We show that the genomic distributions of H3.1 and H3.3 oncohistones in human patient-derived DMG cells are consistent with the DNAreplication-coupled deposition of histone H3.1 and the predominant replication-independent deposition of histone H3.3. Although H3K27 trimethylation is reduced for both oncohistone types, H3.3K27M-bearing cells retain some domains, and only H3.1K27M-bearing cells lack H3K27 trimethylation. Neither oncohistone interferes with PRC2 binding. Using Drosophila as a model, we demonstrate that inhibition of H3K27 trimethylation occurs only when H3K27M oncohistones are deposited into chromatin and only when expressed in cycling cells. We propose that oncohistones inhibit the H3K27 methyltransferase as chromatin patterns are being duplicated in proliferating cells, predisposing them to tumorigenesis.

Genome-wide profiling of DNA methylation reveals transposon targets of CHROMOMETHYLASE3.

DNA methylation has been implicated in a variety of epigenetic processes, and abnormal methylation patterns have been seen in tumors. Analysis of methylation patterns has traditionally been conducted either by using Southern analysis after cleavage with methyl-sensitive restriction endonucleases or by bisulfite sequencing. However, neither method is practical for analyzing more than a few genes. Here, we describe a simple technique for genome-wide mapping of DNA methylation patterns. Fragmentation by a methyl-sensitive restriction endonuclease is followed by size fractionation and hybridization to microarrays. We demonstrate the utility of this method by characterizing methylation patterns in Arabidopsis methylation mutants. This analysis reveals that CHROMOMETHYLASE3 (CMT3), which was previously shown to maintain CpXpG methylation, preferentially methylates transposons, even when they are present as single copies within the genome. Methylation profiling has potential applications in disease research and diagnostic screening.