Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Perturbation-response genes reveal signaling footprints in cancer gene expression.

Nature communications - 2 Jan 2018

Schubert Michael, Klinger Bertram, Klünemann Martina, Sieber Anja, Uhlitz Florian, Sauer Sascha, Garnett Mathew J, Blüthgen Nils, Saez-Rodriguez Julio

Abstract excerpt

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...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cell Line, Tumor
Share to Drug Resistance, Neoplasm

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression

Share to Genes, Neoplasm

Share to Genomics

Share to HEK293 Cells

Share to Mutation

Share to Neoplasms

Source

Open in PubMed Open full text

Identifiers

PMID: 29295995
DOI: 10.1038/s41467-017-02391-6
PMCID: PMC5750219

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Perturbation-response genes reveal signaling footprints in cancer gene expression.PMID 29295995Read ↗

Perturbation-response genes reveal signaling footprints in cancer gene expressionSemantic proximity Read ↗

Inferring perturbation profiles of cancer samplesSemantic proximity Read ↗

Predicting mechanism of action of cellular perturbations with pathway activity signaturesSemantic proximity Read ↗

Perturbation-based gene regulatory network inference to unravel oncogenic mechanismsSemantic proximity Read ↗

Integrative signatures of signaling pathway response increase robustness and accuracy of pathway predictionsSemantic proximity Read ↗

Large-scale Characterization of Drug Responses of Clinically Relevant Proteins in Cancer Cell LinesSemantic proximity Read ↗

Reversing pathological cell states: the road less travelled can extend the therapeutic horizon.Semantic proximity Read ↗

Pheno-RNA, a method to associate genes with a specific phenotype, identifies genes linked to cellular transformation.Semantic proximity Read ↗

Discovering causal signaling pathways through gene-expression patterns.Semantic proximity Read ↗

LaGrACE: Estimating gene program dysregulation using latent gene regulatory network for biomedical discoverySemantic proximity Read ↗

Pathway perturbations in signaling networks: Linking genotype to phenotype.Semantic proximity Read ↗

Perturbational Gene-Expression Signatures for Combinatorial Drug DiscoverySemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.