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mRNA to protein concordance is how well the amount of a gene's messenger RNA tracks the amount of the protein it codes for; for many genes it tracks poorly.
Proteogenomics combines proteomics, genomics and transcriptomics (Wikipedia); CPTAC applied it to TCGA-linked tumours and measured, gene by gene, how well transcript levels predict protein levels. Correlations are strong for some genes and near zero or negative for others because of post-transcriptional and post-translational regulation and protein complex stoichiometry, so an expression model is not a protein model, and phosphorylation-driven pathway activity is invisible to RNA.
Showing the technology this term belongs to: Proteomics & phosphoproteomics.
Shares Deep mass-spectrometry proteome (CPTAC), Pathway activation state (phosphosignalling), Proteomics & phosphoproteomics, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares E2F7, DCLK1, DNAJC12, PHLPP2 and the tag cansim-terms.
Shares Spearman rank correlation, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Spearman rank correlation, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Spearman rank correlation, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Pathway activation state (phosphosignalling), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Pathway activation state (phosphosignalling), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.