Proteogenomic Analysis of Cancer Aneuploidy and Normal Tissues
- Description
This study performed a proteogenomic analysis of DNA, RNA and protein levels across primary tumor samples and cancer cell lines from different tumor types, a panel of isogenic non-tumorigenic human colon epithelial cells and normal tissues. They found tissue specificity in the RNA-level and protein-level compensation of genes are affected by somatic copy number alterations (SCNAs). Using the DNA–RNA and RNA–protein correlations, they inferred the degree of regulation at the RNA and protein levels. By revealing how cells regulate RNA and protein abundances of genes with SCNAs, they provided insights into the rules of gene regulation. This publication includes supplementary data for gene compensation analysis, DNA–RNA correlation and RNA–protein correlation analysis, complete list of cellular pathways and related analyses, and complete list of t-value and Gene Set Enrichment Analysis.
Access
- Restrictions
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Free to All
- Instructions
- All study data are included in the article on PubMed Central (PMC) under Additional Files and codes used in this publication are available in GitHub.
- Grant Support
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Cancer Grand Challenges/Cancer Research UKC5470/A27144/Mark Foundation for Cancer Research322977937/GRK2344/German Research Foundation818846 – ImmuNiche – ERC-2018-COG/European Research Council