Aberrant cell signaling can cause cancer and other diseases and is a focal point of drug research. A common approach is to infer signaling activity of pathways from gene expression. However, mapping gene expression to pathway components disregards the effect of post-translational modifications, and downstream signatures represent very specific experimental conditions. Here we present PROGENy, a method that overcomes both limitations by leveraging a large compendium of publicly available perturbation experiments to yield a common core of Pathway RespOnsive GENes. Unlike existing methods, PROGENy can (i) recover the effect of known driver mutations, (ii) provide or improve strong markers for drug indications, and (iii) distinguish between oncogenic and tumor suppressor pathways for patient survival. Collectively, these results show that PROGENy accurately infers pathway activity from gene expression. Overall design: HEK293?RAF1:ER cells were treated with different stimuli (4OHT, Ly29002, TNFa, TGF1b, IFNg) for different periods of time (1h, 4h).
Perturbation-response genes reveal signaling footprints in cancer gene expression.
Specimen part, Subject
View SamplesHyperglycemia is an essential factor leading to micro- and macrovascular diabetic complications. Macrophages are key innate immune regulators of inflammation that undergo 2 major directions of functional polarization: classically (M1) and alternatively (M2) activated macrophages. The aim of the study was to examine the effect of hyperglycemia on transcriptional activation of M0, M1 and M2 human macrophages.
Hyperglycemia induces mixed M1/M2 cytokine profile in primary human monocyte-derived macrophages.
Specimen part, Treatment, Subject
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