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

Identification of potential synthetic lethal genes to p53 using a computational biology approach.

BMC medical genomics - 11 Sept 2013

Wang Xiaosheng, Simon Richard

Abstract excerpt

BACKGROUND: Identification of genes that are synthetic lethal to p53 is an important strategy for anticancer therapy as p53 mutations have been reported to occur in more than half of all human cancer cases. Although genome-wide RNAi screening is an effective approach to finding synthetic lethal genes, it is costly and labor-intensive. METHODS: To illustrate this approach, we identified potentially druggable genes...

Read the complete abstract on PubMed

Topics

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

Share to Antineoplastic Agents
Share to Cell Cycle
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression Profiling

Share to Gene Silencing

Share to Genes, Lethal

Share to Molecular Targeted Therapy

Share to Tumor Suppressor Protein p53

Source

Open in PubMed Open full text

Identifiers

PMID: 24025726
DOI: 10.1186/1755-8794-6-30
PMCID: PMC3847148

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

Identification of potential synthetic lethal genes to p53 using a computational biology approach.PMID 24025726Read ↗

Integrated genomic and pharmacological approaches to identify synthetic lethal genes as cancer therapeutic targets.Semantic proximity Read ↗

Malignancy of Cancers and Synthetic Lethal Interactions Associated With Mutations of Cancer Driver Genes.Semantic proximity Read ↗

SLOAD: a comprehensive database of cancer-specific synthetic lethal interactions for precision cancer therapy via multi-omics analysis.Semantic proximity Read ↗

[Synthetic lethal genes to mutant p53].Semantic proximity Read ↗

Human synthetic lethal inference as potential anti-cancer target gene detection.Semantic proximity Read ↗

Building high-resolution synthetic lethal networks: a 'Google map' of the cancer cell.Semantic proximity Read ↗

Functional genomics and cancer drug target discovery.Semantic proximity Read ↗

Development of synthetic lethality in cancer: molecular and cellular classification.Semantic proximity Read ↗

mslp: a comprehensive pipeline in predicting cancer mutations specific synthetic lethal partnersSemantic proximity Read ↗

Advances in synthetic lethality for cancer therapy: cellular mechanism and clinical translation.Semantic proximity Read ↗

TP53 mutations, expression and interaction networks in human cancers.Semantic proximity Read ↗

A lethal combination for cancer cells: synthetic lethality screenings for drug discovery.Semantic proximity Read ↗

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