Discover Community Create You

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

Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers.

Molecular systems biology - 1 Jan 2013

Reimand Jüri, Bader Gary D

Abstract excerpt

Large-scale cancer genome sequencing has uncovered thousands of gene mutations, but distinguishing tumor driver genes from functionally neutral passenger mutations is a major challenge. We analyzed 800 cancer genomes of eight types to find single-nucleotide variants (SNVs) that precisely target phosphorylation machinery, important in cancer development and drug targeting. Assuming that cancer-related biological...

Read the complete abstract on PubMed

Topics

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

Share to Contractile Proteins
Share to Filamins
Share to Glioblastoma

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Microfilament Proteins

Share to Models, Statistical

Share to Octamer Transcription Factor-1

Share to Protein Kinase C

Share to Protein Kinases

Source

Open in PubMed Open full text

Identifiers

PMID: 23340843
DOI: 10.1038/msb.2012.68
PMCID: PMC3564258

Genes

EGFR
FLNB
GRM1
PRKCZ

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers.PMID 23340843Read ↗

The mutational landscape of phosphorylation signaling in cancer.Semantic proximity Read ↗

Reconfiguring phosphorylation signaling by genetic polymorphisms affects cancer susceptibility.Semantic proximity Read ↗

Tissue-Specific Signaling Networks Rewired by Major Somatic Mutations in Human Cancer Revealed by Proteome-Wide Discovery.Semantic proximity Read ↗

Gain and loss of phosphorylation sites in human cancer.Semantic proximity Read ↗

Integrative machine learning predicts activating kinase mutations for precision oncologySemantic proximity Read ↗

Systematic Functional Annotation of Somatic Mutations in Cancer.Semantic proximity Read ↗

Genetic and structural variation in the gastric cancer kinome revealed through targeted deep sequencing.Semantic proximity Read ↗

An Atlas of the Human Kinome Reveals the Mutational Landscape Underlying Dysregulated Phosphorylation Cascades in Cancer.Semantic proximity Read ↗

Identification of significantly mutated regions across cancer types highlights a rich landscape of functional molecular alterations.Semantic proximity Read ↗

Sequence and structure signatures of cancer mutation hotspots in protein kinases.Semantic proximity Read ↗

Systematic identification of significantly mutated regions reveals a rich landscape of functional molecular alterations across cancer genomesSemantic proximity Read ↗

Protein-structure-guided discovery of functional mutations across 19 cancer types.Semantic proximity Read ↗

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