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. Author manuscript; available in PMC: 2020 Jul 26.
Published in final edited form as: Cell Rep. 2019 Nov 12;29(7):2092–2104.e4. doi: 10.1016/j.celrep.2019.10.034

Figure 5. Functional Correlations through Regression Analysis on Proteomic and Phosphoproteomic Perturbation Profiles.

Figure 5.

(A) Heatmaps of Pearson correlation (r) for pairs of Δgene proteomic (left) and phosphoproteomic (right) perturbation profiles (∣r∣ ≥ 0.6). Cells with black borders highlight correlations between Δdbf2/Δdbf20 and other strains.

(B) Regression analysis recapitulated known relationships between kinases and/or phosphatases in MAPK signaling pathways at both proteome and phosphoproteome levels. Edge colors denote correlation (r) values and are the same as in (A).

(C) Uncharacterized kinase YPL150W and its correlated kinases and phosphatases. Edge colors denote correlation (r) and are the same as in (A). Solid edges and dashed edges indicate correlation at the proteome and phosphoproteome levels, respectively.

(D) Biological pathways enriched in regulated proteins (left) and phosphosproteins (right) in Δypl150w. Benjamini-Hochberg FDR adjustment was applied to account for multiple hypothesis testing.

See also Table S5.