Biology subjects

Mani, R. S.

Publications and source records attributed to Mani, R. S..

3 recordsLinked to original sources

bioRxiv2024

PAX2 is Transcriptionally Silenced by a Distinct Mechanism of Epigenetic Reprogramming to Initiate Endometrial Carcinogenesis

In most cancers, including endometrial cancer, tumor suppressor genes harboring inactivating mutations have been systematically cataloged. However, locus-specific epigenetic alterations contributing to cancer initiation and progression remain only partly described, creating knowledge gaps about functionally significant tumor suppressors and underlying mechanisms associated with their inactivation. Here, we show that PAX2 is an endometrial tumor suppressor recurrently inactivated by a distinct epigenetic reprogramming event not associated with promoter hypermethylation. PAX2 is expressed throughout normal endometrial glands; however, microscopic clones with PAX2 protein loss arise spontaneously in adulthood and progress to endometrial precancers and cancers. Here we show that PAX2 protein loss occurs via transcriptional silencing in 80% of endometrial cancers. Mechanistically, transcriptomic, epigenomic, 3D genomic, and machine learning analyses showed that silencing is associated with replacement of open/active chromatin features (H3K27ac/H3K4me3) with inaccessible/repressive features (H3K27me3). The spread of the H3K27me3 signal is restrained by cohesin loops, preventing transcriptional dysregulation of neighboring genes. Functionally, PAX2 loss promoted endometrial carcinogenesis by rewiring the transcriptional landscape via global enhancer reprogramming. Genetically engineered mouse models together with organoid and human cell line studies established Pax2 as an in vivo endometrial tumor suppressor that cooperates with Pten to produce lethal cancers. Our discovery of a specific and recurring epigenetic alteration that transcriptionally silences PAX2 to initiate most endometrial cancers opens new lines of investigation into the origins of endometrial cancer with diverse implications for its diagnosis and treatment. One Sentence SummaryWe demonstrate that PAX2 is silenced by a highly recurrent epigenetic mechanism to initiate most endometrial cancers, establishing a novel mechanism of tumor suppressor inactivation.

cancer biology↗

bioRxiv2022

Accurate prediction of cohesin-mediated 3D genome organization from 2D chromatin features

The three-dimensional (3D) genome organization influences diverse nuclear processes. Chromatin interaction analysis by paired-end tag sequencing (ChIA-PET) and Hi-C are powerful methods to study the 3D genome organization. However, ChIA-PET and Hi-C experiments are expensive, time-consuming, require tens to hundreds of millions of cells, and are challenging to optimize and analyze. Predicting ChIA-PET/Hi-C data using cheaper ChIP-Seq data and other easily obtainable features could be a useful alternative. It is well-established that the cohesin protein complex is a key determinant of 3D genome organization. Here we present Chromatin Interaction Predictor (ChIPr), a suite of regression models based on deep neural networks (DNN), random forest, and gradient boosting, respectively, to predict cohesin-mediated chromatin interaction strength between any two loci in the genome. Comprehensive tests on four cell lines show that the predictions of ChIPr correlate well with the original ChIA-PET data at the peak-level resolution and bin sizes of 25 and 5 Kbp. In addition, ChIPr can accurately capture most of the cell-type-dependent loops identified by ChIA-PET and Hi-C data. Rigorous feature testing indicated that genomic distance and RAD21 (a cohesin component) ChIP-Seq signals are the most important inputs for ChIPr in determining chromatin interaction strength. The standard ChIPr model requires three experimental inputs: ChIP-Seq signals for RAD21, H3K27ac (enhancer/active chromatin mark) and H3K27me3 (inactive chromatin mark). The minimal ChIPr model performs comparably and requires a single experimental input: ChIP-Seq signals for RAD21. Integrative analysis revealed novel insights into the role of CTCF motif, its orientation, and CTCF binding on the prevalence and strength of cohesin-mediated chromatin interactions. These studies outline the general features of genome folding and open new avenues to analyze spatial genome organization in specimens with limited cell numbers.

genomics↗

bioRxiv2022

Germline determinants of the prostate tumor genome

A persons germline genome strongly influences their risk of developing cancer. Yet the molecular mechanisms linking the host genome to the specific somatic molecular phenotypes of individual cancers are largely unknown. We quantified the relationships between germline polymorphisms and somatic mutational features in prostate cancer. Across 1,991 prostate tumors, we identified 23 co-occurring germline and somatic events in close 2D or 3D spatial genomic proximity, affecting 10 cancer driver genes. These driver quantitative trait loci (dQTLs) overlap active regulatory regions, and shape the tumor epigenome, transcriptome and proteome. Some dQTLs are active in multiple cancer types, and information content analyses imply hundreds of undiscovered dQTLs. Specific dQTLs explain at least 16.7% ancestry-biases in rates of TMPRSS2-ERG gene fusions and 67.3% of ancestry-biases in rates of FOXA1 point mutations. These data reveal extensive influences of common germline variation on somatic mutational landscapes.

cancer biology↗