Summary Synovial sarcoma (SyS) is an aggressive soft-tissue malignancy characterized by a pathognomonic chromosomal translocation leading to the formation of the SS18::SSX fusion oncoprotein. SS18::SSX associates with mammalian BAF complexes suggesting deregulation of chromatin architecture as the oncogenic driver in this tumour type. To examine the epigenomic state of SyS we performed comprehensive multi-omics analysis on 52 primary pre-treatment human SyS tumours. Our analysis revealed a continuum of epigenomic states across the cohort at fusion target genes independent of rare somatic genetic lesions. We identify cell-of-origin signatures defined by enhancer states and reveal unexpected relationships between H2AK119Ub1 and active marks. The number of bivalent promoters, dually marked by the repressive H3K27me3 and activating H3K4me3 marks, has strong prognostic value and outperforms tumor grade in predicting patient outcome. Finally, we identify SyS defining epigenomic features including H3K4me3 expansion associated with striking promoter DNA hypomethylation in which SyS displays the lowest mean methylation level of any sarcoma subtype. We explore these distinctive features as potential vulnerabilities in SyS and identify H3K4me3 inhibition as a promising therapeutic strategy.

Runt-related transcription factor 1 (RUNX1) is oncogenic in diverse types of leu-kemia and epithelial cancers where its expression is associated with poor prog-nosis. Current models suggest that RUNX1 cooperates with other oncogenic fac-tors (e.g., NOTCH1, TAL1) to drive the expression of proto-oncogenes in T cell acute lymphoblastic leukemia (T-ALL) but the molecular mechanisms controlled by RUNX1 and its cooperation with other factors remain unclear. Integrative chromatin and transcriptional analysis following inhibition of RUNX1 and NOTCH1 revealed a surprisingly widespread role of RUNX1 in the establishment of global H3K27ac levels and that RUNX1 is required by NOTCH1 for cooperative transcription activation of key NOTCH1 target genes including MYC, DTX1, HES4, IL7R, and NOTCH3. Super-enhancers were preferentially sensitive to RUNX1 knockdown and RUNX1-dependent super-enhancers were disrupted following the treatment of a pan-BET inhibitor, I-BET151.

Hematopoietic stem and progenitor cells (HSPCs) originate from an endothelial-to-hematopoietic transition (EHT) during embryogenesis. Characterization of early hemogenic endothelial (HE) cells is required to understand what drives hemogenic specification and to accurately define cells capable of undergoing EHT. Using Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-seq), we define the early subpopulation of pre-HE cells based on both surface markers and transcriptomes. We identify the transcription factor Meis1 as an essential regulator of hemogenic cell specification in the embryo prior to Runx1 expression. Meis1 is expressed at the earliest stages of EHT and distinguishes pre-HE cells primed towards the hemogenic trajectory from the arterial endothelial cells that continue towards a vascular fate. Endothelial-specific deletion of Meis1 impairs the formation of functional Runx1-expressing HE which significantly impedes the emergence of pre-HSPC via EHT. Our findings implicate Meis1 in a critical fate-determining step for establishing EHT potential in endothelial cells.

Known transcription factor motifs enriched in shared and FOXL2 mutant-specific peaks predicted by Homer motif analysis.

Detailed supplemental methods of cell lines and cell culture, cell cycle synchronization and inducible expression of FOXL2, quantitative mass spectrometry analysis of induced FOXL2 expression, FOXL2 ChIP-seq analysis, RNA-seq analysis, and electrophoretic mobility shift assay.

List of protein-coding (pc) and non_coding (nc) genes differentially expressed (UP or DOWN) following induction of WT and MUT FOXL2 in polyA and ribodepleted RNA-seq datasets.

File containing supplemental figures and legends

RNA-seq (polyA and ribodepleted) RPKM matrix for protein coding genes from primary AGCT and SVOG3e derived isogenic cell lines.

Aim: This study examined circulating cell-free DNA (cfDNA) biomarkers associated with androgen treatment resistance in metastatic castration resistance prostate cancer (mCRPC). Materials & methods: We designed a panel of nine candidate cfDNA methylation markers using droplet digital PCR (Methyl-ddPCR) and assessed methylation levels in sequentially collected cfDNA samples from patients with mCRPC. Results: Increased cfDNA methylation in eight out of nine markers during androgen-targeted treatment correlated with a faster time to clinical progression. Cox proportional hazards modeling and logistic regression analysis further confirmed that higher cfDNA methylation during treatment was significantly associated with clinical progression. Conclusion: Overall, our findings have revealed a novel methylated cfDNA marker panel that could aid in the clinical management of metastatic prostate cancer.

The human placenta and its specialized cytotrophoblasts rapidly develop, have a compressed lifespan, govern pregnancy outcomes, and program the offspring's health. Understanding the molecular underpinnings of these behaviors informs development and disease. Profiling the extraembryonic epigenome and transcriptome during the 2nd and 3rd trimesters revealed H3K9 trimethylation overlapping deeply DNA hypomethylated domains with reduced gene expression and compartment-specific patterns that illuminated their functions. Cytotrophoblast DNA methylation increased, and several key histone modifications decreased across the genome as pregnancy advanced. Cytotrophoblasts from severe preeclampsia had substantially increased H3K27 acetylation globally and at genes that are normally downregulated at term but upregulated in this syndrome. In addition, some cases had an immature pattern of H3K27ac peaks, and others showed evidence of accelerated aging, suggesting subtype-specific alterations in severe preeclampsia. Thus, the cytotrophoblast epigenome dramatically reprograms during pregnancy, placental disease is associated with failures in this process, and H3K27 hyperacetylation is a feature of severe preeclampsia.

Androgens are a major driver of prostate cancer (PCa) and continue to be a critical treatment target for advanced disease, which includes castration therapy and antiandrogens. However, resistance to these therapies leading to metastatic castration-resistant prostate cancer (mCRPC), and the emergence of treatment-induced neuroendocrine disease (tNEPC) remains an ongoing challenge. Instability of the DNA methylome is well established as a major hallmark of PCa development and progression. Therefore, investigating the dynamics of the methylation changes going from the castration sensitive to the tNEPC state would provide insights into novel mechanisms of resistance. Using an established xenograft model of CRPC, genome-wide methylation analysis was performed on cell lines representing various stages of PCa progression. We confirmed extensive methylation changes with the development of CRPC and tNEPC using this model. This included key genes and pathways associated with cellular differentiation and neurodevelopment. Combined analysis of methylation and gene expression changes further highlighted genes that could potentially serve as therapeutic targets. Furthermore, tNEPC-related methylation signals from this model were detectable in circulating cell free DNA (cfDNA) from mCRPC patients undergoing androgen-targeting therapies and were associated with a faster time to clinical progression. These potential biomarkers could help with identifying patients with aggressive disease.

Background: Liquid biopsies are emerging as an important source of minimally invasive biomarkers, especially in metastatic castration resistant prostate cancer (mCRPC), where tumors are often inaccessible for biopsy based strategies. In particular, circulating cell free nucleic acids, such as cfDNA, can harbor tumor specific genomic and epigenomic changes. Tumor related DNA methylation markers are detectable in circulation of mCRPC patients; however, genome wide changes in the cfDNA methylome of mCPRC patients undergoing current androgen targeting therapies have not been extensively investigated. Methods/Results: In collaboration with the University Health Network Genitourinary Biobank (Toronto, Canada), we prospectively collected a cohort of mCRPC patients that received treatment with either enzalutamide or abiraterone acetate. Plasma cfDNA was isolated at baseline (prior to starting treatment), week-12 and clinical progression. As cfDNA methylation detection can be challenging due to low yield and quality, we optimized a protocol that involves methylated DNA immuno precipitation (MeDIP) followed by next generation sequencing (NGS). Overall, we are able to obtain good quality NGS data with high mappability to the genome as well as >5x coverage of 46-51% CpGs in the genome. We applied this MeDIP-seq protocol to cfDNA samples from 11 enzalutamide treated and 5 abiraterone treated patients that completed all study visits. We performed within patient analysis to identify differentially methylated regions (DMRs) associated with treatment and clinical progression. Overall, there were a number of DMRs identified through our established pipeline, with known mCRPC genes implicated, such as members of the HOX family of transcription factors and Wnt pathway members. Conclusions: Overall, we are able to detect methylation signals from low yields of cfDNA and potentially tumor specific methylation markers. We are currently performing pathway analysis and correlation with clinical parameters. Validation of these methylation markers in mCRPC could further shed light on underlying disease mechanisms and novel biomarkers. Biography Madonna R Peter is currently a PhD student at the University of Toronto, Department of Laboratory Medicine & Pathobiology and under the Supervision of Dr. Bharati Bapat (Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada). Previously, she completed her MSc in the Department of Immunology (University of Toronto)

Abstract Motivation B cells display remarkable diversity in producing B-cell receptors through recombination of immunoglobulin (Ig) V-D-J genes. Somatic hypermutation (SHM) of immunoglobulin heavy chain variable (IGHV) genes are used as a prognostic marker in B-cell malignancies. Clinically, IGHV mutation status is determined by targeted Sanger sequencing which is a resource-intensive and low-throughput procedure. Here, we describe a bioinformatic pipeline, CRIS (Complete Reconstruction of Immunoglobulin IGHV-D-J Sequences) that uses RNA sequencing (RNA-seq) datasets to reconstruct IGHV-D-J sequences and determine IGHV SHM status. Results CRIS extracts RNA-seq reads aligned to Ig gene loci, performs assembly of Ig transcripts and aligns the resulting contigs to reference Ig sequences to enumerate and classify SHMs in the IGHV gene sequence. CRIS improves on existing tools that infer the B-cell receptor repertoire from RNA-seq data using a portion IGHV gene segment by de novo assembly. We show that the SHM status identified by CRIS using the entire IGHV gene segment is highly concordant with clinical classification in three independent chronic lymphocytic leukemia patient cohorts. Availability and implementation The CRIS pipeline is available under the MIT License from https://github.com/Rashedul/CRIS. Supplementary information Supplementary data are available at Bioinformatics Advances online.

Abstract The somatic missense point mutation c.402C>G (p.C134W) in the FOXL2 transcription factor is pathognomonic for adult-type granulosa cell tumors (AGCT) and a diagnostic marker for this tumor type. However, the molecular consequences of this mutation and its contribution to the mechanisms of AGCT pathogenesis remain unclear. To explore these mechanisms, we engineered V5-FOXL2WT- and V5-FOXL2C134W–inducible isogenic cell lines and performed chromatin immunoprecipitation sequencing and transcriptome profiling. FOXL2C134W associated with the majority of the FOXL2 wild-type DNA elements as well as a large collection of unique elements genome wide. This model enabled confirmation of altered DNA-binding specificity for FOXL2C134W and identification of unique targets of FOXL2C134W including SLC35F2, whose expression increased sensitivity to YM155. Our results suggest FOXL2C134W drives AGCT by altering the binding affinity of FOXL2-containing complexes to engage an oncogenic transcriptional program. Significance: A mechanistic understanding of FOXL2C134W-induced regulatory state alterations drives discovery of a rationally designed therapeutic strategy.

Aim: To provide a comprehensive understanding of gene regulatory networks in the developing human brain and a foundation for interpreting pathogenic deregulation. Materials & methods: We generated reference epigenomes and transcriptomes of dissected brain regions and primary neural progenitor cells (NPCs) derived from cortical and ganglionic eminence tissues of four normal human fetuses. Results: Integration of these data across developmental stages revealed a directional increase in active regulatory states, transcription factor activities and gene transcription with developmental stage. Consistent with differences in their biology, NPCs derived from cortical and ganglionic eminence regions contained common, region specific, and gestational week specific regulatory states. Conclusion: We provide a high-resolution regulatory network for NPCs from different brain regions as a comprehensive reference for future studies.

Aim: We examined methylation changes in cell-free DNA (cfDNA) in metastatic castration-resistant prostate cancer (mCRPC) during treatment. Patients & methods: Genome-wide methylation analysis of sequentially collected cfDNA samples derived from mCRPC patients undergoing androgen-targeting therapy was performed. Results: Alterations in methylation states of genes previously implicated in prostate cancer progression were observed and patients that maintained methylation changes throughout therapy tended to have a longer time to clinical progression. Importantly, we also report that markers associated with a highly aggressive form of the disease, neuroendocrine-CRPC, were associated with a faster time to clinical progression. Conclusion: Our findings highlight the potential of monitoring the cfDNA methylome during therapy in mCRPC, which may serve as predictive markers of response to androgen-targeting agents.

Gut dysbiosis alters the development and severity of atopic disease. We previously demonstrated that nursing dams and newborn mice treated with low-dose vancomycin alters gut microbial diversity with a marked loss of bacteria that produce short-chain fatty acids (including butyrate). Vancomycin-induced gut dysbiosis enhances the TH2 response to lung allergens due to altered dendritic cell trafficking and activation in addition to modifying the behavior of other mature leukocyte lineages. Butyrate supplementation reverses the vancomycin-induced TH2 pro-inflammatory phenotype. Butyrate is known to exert some of its effects on target cells by inhibiting histone deacetylases (HDACs) with consequent effects on gene expression. Consistent with a role for epigenetic skewing of the hematopoietic compartment, we found that engraftment of total bone marrow from dysbiotic mice transferred enhanced TH2 proclivity in normobiotic recipients. Strikingly, we found unique regulatory states (H3K27ac marks) in purified hematopoietic stem and progenitor cells (HSPC) of TH2-skewed recipient mice. Single cell RNA sequence analyses identified a distinct transcriptomic signature in HSPC of dysbiotic mice that was reversed by butyrate supplementation. Together, these data suggest that the gut microbiome alters gene expression in blood progenitor cells with long term consequences on the immune response to peripheral allergens.