PPP1R1C

protein abundance — cross-omics
Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, PPP1R1C protein abundance is significantly associated with the RNA expression of many other genes, with 644 significant associations in total. GBM shows the largest number of these associations.

The most reproducible PPP1R1C-associated genes across cancer lineages are SEZ6L, ISM2, and BMP7. Each is linked with PPP1R1C in more than 1 cancer types. Because this analysis shows association rather than direction, both PPP1R1C-to-partner and partner-to-PPP1R1C results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, PPP1R1C versus SEZ6L in GBM, with a Pearson correlation of 0.29.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (PPP1R1C→partner) and Y-score (partner→PPP1R1C) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
GBMSEZ6L →+1.091+0.453.004.00931
GBMISM2 →-0.268-0.596.003.00931
GBMBMP7 →+0.990+0.734<.001<.00131
GBMPLA2G15 →-0.408-0.668.001.00131
GBMNCALD →+0.660+0.571.008.00831
GBMJAK3 →-0.511-0.509.007.00331
Each partner links to its Q-omics profile. Showing the 6 strongest of 644 associations by consensus.

PPP1R1C vs SEZ6L — GBM

Per-sample scatter of PPP1R1C vs SEZ6L in GBM (Pearson r = 0.29).

Explore this scatter interactively →

Exploration