Related Experiment Video
Updated: Oct 12, 2025

Identification of Transcription Factor Regulators using Medium-Throughput Screening of Arrayed Libraries and a Dual-Luciferase-Based Reporter
Published on: March 27, 2020
Identifying tumorigenic non-coding mutations through altered cis-regulation
Zhongshan Cheng1, Michael Vermeulen1, Micheal Rollins-Green1
1Department of Biology, Queen's University, Kingston, ON K7L 3N6, Canada.
Abstract:
Identification of non-coding mutations driving tumorigenesis requires alternative approaches to coding mutations. Enriched associations between mutated regulatory elements and altered cis-regulation in tumors are a promising approach to stratify candidate non-coding driver mutations. Here we provide a bioinformatics pipeline to mine data from the Cancer Genomic Commons (GDC) for such associations. The pipeline integrates RNA and whole-genome sequencing with genotyping data to reveal putative non-coding driver mutations by cancer type. For complete information on the generation and use of this protocol, please refer to Cheng et al. (2021).
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