Positive regulation of T cell migration

pathway activity — cross-omics
GO:2000406Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Positive regulation of T cell migration pathway is significantly associated with the protein abundance of multiple proteins, with the GBM cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are RCSD1, RCSD1_S351, and SAMSN1_S23, each associated with the pathway in up to 10 cancer types. Since the analysis shows associations rather than directional relationships, both pathway-to-partner and partner-to-pathway views are reported.

Each partner is linked to its corresponding Q-omics profile. The scatter plot shows the strongest association, Positive regulation of T cell migration activity versus RCSD1 in GBM (Pearson r = 0.67).

Pathway-associated proteins by consensus

Ranked by combined sampling and lineage consensus. X-score (pathway→partner) and Y-score (partner→pathway) are standardized regression coefficients; both directions are reported because the association is undirected. The reported p-values are derived from the association test.
LineagePartner proteinX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
GBMRCSD1 →+0.598+0.092<.001<.001310
OVRCSD1_S351 →+0.656+0.056.001<.001310
OVSAMSN1_S23 →+0.818+0.071<.001<.001310
OVSASH3 →+0.567+0.077<.001<.001310
GBMSEPTIN1 →+1.245+0.122<.001<.001310
GBMSIPA1_S839 →+0.490+0.097<.001<.001310
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:2000406 vs RCSD1 — GBM

Per-sample scatter of Positive regulation of T cell migration activity vs RCSD1 in GBM.

Explore this scatter interactively →

Exploration