This study reveals the pervasive intergenic transcription in normal and cancerous tissues through data analysis and integration. By constructing an RNAPII atlas and integrating other datasets, tissue and disease-specific transcriptional activities were discovered, and intergenic transcription was identified as a biomarker associated with cancer subtypes and survival.
Intergenic transcription in normal and cancerous tissues is pervasive but incompletely understood. To inves-tigate this, we constructed an atlas of over 180,000 consensus RNA polymerase II (RNAPII)-bound intergenic regions from 900 RNAPII chromatin immunoprecipitation sequencing (ChIP-seq) experiments in normal and cancer samples. Through unsupervised analysis, we identified 51 RNAPII consensus clusters, many of which mapped to specific biotypes and revealed tissue-specific regulatory signatures. We developed a meta -clus-tering methodology to integrate our RNAPII atlas with active transcription across 28,797 RNA sequencing (RNA-seq) samples from The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), and Ency-clopedia of DNA Elements (ENCODE). This analysis revealed strong tissue-and disease-specific intercon-nections between RNAPII occupancy and transcriptional activity. We demonstrate that intergenic transcrip-tion at RNAPII-bound regions is a novel per-cancer and pan-cancer biomarker. This biomarker displays genomic and clinically relevant characteristics, distinguishing cancer subtypes and linking to overall survival. Our results demonstrate the effectiveness of coherent data integration to uncover intergenic transcriptional activity in normal and cancer tissues.
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