Radhakrishnan Sabarinathan

The paper examines how transcription factor co-occupancy and chromatin structure influence somatic mutation rates in liver cancer regulatory regions.

The paper shows that eGATA3 mutations alter transcriptional regulation and lineage identity in luminal breast cancer without losing DNA-binding function.

This study identifies hepatobiliary progenitor-like reprogramming in liver metastases, driven by TGF-β and hypoxia, and shows its association with poor survival.

The paper presents a comprehensive genomic atlas of Indian populations, identifying novel variants and highlighting genetic diversity and pharmacogenomic implications.

The paper analyzes two-hit inactivation frequencies in tumor suppressor genes across 9,000 tumors, identifying factors like mutation impact, zygosity, and chromosomal context that influence these frequencies.

The paper analyzes germline mutations in TNBC patients in India and identifies BRCA1/2 as the most common mutated genes, with novel mutations and a higher proportion of variants of uncertain significance in non-BRCA genes.

The paper develops a nanopore sequencing method to identify HPV integrations in tumors without whole genome sequencing, validated in cell lines and cervical cancer patients.

This study shows drug-resistant ovarian cancer cells exhibit collective amoeboid dynamics that enhance their ability to colonize and invade tissues.

This study examines how HPV integration affects host chromatin structure and gene regulation in cervical cancer, finding that integrations are enriched in active chromatin regions and induce local and long-range transcriptional upregulation within TADs.

The paper shows that CTCF/cohesin binding during DNA replication causes replication stress and genomic instability at CBSs in cancer.

The paper examines the prognostic role of immunoproteasome expression in solid tumours, finding it correlates with immune infiltration and survival outcomes, but varies by tumour type and immune context.

The paper shows boundary-associated RNAs enhance TAD insulation by promoting CTCF clustering at TAD boundaries.

This paper introduces scNOVA, a method to analyze somatic structural variants in single-cell multiomics data, revealing their functional impacts on gene regulation and cancer pathways.

The paper identifies differentially accessible chromatin regions in mutant p53 tumours compared to wild-type p53 tumours in breast and colon cancers, revealing distinct transcription factor enrichments.

The paper analyzes the mutational landscape of SARS-CoV-2 infections in Telangana, India, to identify dominant viral clades and their genomic variants.

The paper introduces the Cancer LncRNA Census (CLC), a curated resource of lncRNAs with causative roles in cancer, and shows their genomic and evolutionary features.

ActivePathways integrates multivariate omics data to identify enriched pathways, revealing cancer driver genes and prognostic pathways in breast cancer.

This study identifies genomic and transcriptomic traits associated with immune-phenotypes in 9,403 solid tumors across 29 cancers, revealing patterns linked to immune evasion and tumor progression.

The paper identifies and characterizes coding and non-coding driver mutations across 2,500 cancer genomes, revealing new candidates and questioning previous findings.

This paper identifies driver mutations across 2,500 tumors from 37 cancer types, revealing a whole-genome panorama of genomic events that underlie tumor development.

The paper shows that DNA-binding proteins reduce nucleotide excision repair activity, leading to higher mutation rates at their binding sites in melanoma.