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

A highly sensitive detection method for somatic mutations in p53 gene.

Rinsho byori. The Japanese journal of clinical pathology - 1 Feb 2003

Sato Tai, Sato Atsushi, Ishihara Hiroaki, Konishi Kazuhiko

Abstract excerpt

A simple and highly sensitive detection method for somatic mutations, which is applicable to diagnostic samples is developed. This method detects somatic mutations that are lower than several percent in abundance. The unique feature with this method is that single-nucleotide primer extension is carried out in the absence of dye terminators that carry respective bases in the wild type gene. Data of mutation sites...

Read the complete abstract on PubMed

Topics

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

Share to Databases, Genetic
Share to DNA Mutational Analysis
Share to DNA Primers

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Genes, p53

Share to Polymerase Chain Reaction

Share to Polymorphism, Single Nucleotide

Share to Tumor Cells, Cultured

Share to Urinary Bladder Neoplasms

Source

Identifiers

PMID: 12690626

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A highly sensitive detection method for somatic mutations in p53 gene.PMID 12690626Read ↗

A universal approach for mutation identification with a DNA probe-enzyme combination platform.Semantic proximity Read ↗

Detection of TP53 gene mutation in blood of breast cancer patients based on circulating tumor DNA and its application in prognosis.Semantic proximity Read ↗

Somatic mutations in cancer prognosis and prediction: lessons from TP53 and EGFR genes.Semantic proximity Read ↗

The UMD TP53 database and website: update and revisions.Semantic proximity Read ↗

Database of p53 gene somatic mutations in human tumors and cell lines.Semantic proximity Read ↗

[Molecular indicators of neoplasia in clinical diagnostics].Semantic proximity Read ↗

Sensitive detection of somatic point mutations in impure and heterogeneous cancer samplesSemantic proximity Read ↗

Database of p53 gene somatic mutations in human tumors and cell lines: updated compilation and future prospectsSemantic proximity Read ↗

TP53 Variations in Human Cancers: New Lessons from the IARC TP53 Database and Genomics Data.Semantic proximity Read ↗

Prediction of high-risk liver cancer patients from their mutation profile: Benchmarking of mutation calling techniquesSemantic proximity Read ↗

Machine learning techniques for identification of carcinogenic mutations, which cause breast adenocarcinoma.Semantic proximity Read ↗

MUT-TP53 2.0: a novel versatile matrix for statistical analysis of TP53 mutations in human cancer.Semantic proximity Read ↗

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