An endonuclease/ligase based mutation scanning method especially suited for analysis of neoplastic tissue Journal Article


Authors: Huang, J.; Kirk, B.; Favis, R.; Soussi, T.; Paty, P.; Cao, W.; Barany, F.
Article Title: An endonuclease/ligase based mutation scanning method especially suited for analysis of neoplastic tissue
Abstract: Knowledge of inherited and sporadic mutations in known and candidate cancer genes may influence clinical decisions. We have developed a mutation scanning method that combines thermostable EndonucleaseV (Endo V) and DNA ligase. Variant and wild-type PCR amplicons are generated using fluorescently labeled primers, and heteroduplexed. Thermotoga maritima (Tma) EndoV recognizes and primarily cleaves heteroduplex DNA one base 3′ to the mismatch, as well as nicking matched DNA at low levels. Thermus species (Tsp.) AK16D DNA ligase reseals the background nicks to create a highly sensitive and specific assay. The fragment mobility on a DNA sequencing gel reveals the approximate position of the mutation. This method identified 31/35 and 8/8 unique point mutations and insertions/deletions, respectively, in the p53, VHL, K-ras, APC, BRCA1, and BRCA2 genes. The method has the sensitivity to detect K-ras mutations diluted 1:20 with wild-type DNA, a p53 mutation in a 1.7 kb amplicon, and unknown p53 mutations in pooled DNA samples. EndoV/Ligase mutation scanning combined with PCR/LDR/Universal array proved superior to automated DNA sequencing for detecting p53 mutations in colon tumors. This technique is well suited for scanning low-frequency mutations in pooled samples and for analysing tumor DNA containing a minority of the unknown mutation.
Keywords: mutation detection; endonuclease v; mismatch recognition; thermostable ligase
Journal Title: Oncogene
Volume: 21
Issue: 12
ISSN: 0950-9232
Publisher: Nature Publishing Group  
Date Published: 2002-03-14
Start Page: 1909
End Page: 1921
Language: English
DOI: 10.1038/sj.onc.1205109
PROVIDER: scopus
PUBMED: 11896624
DOI/URL:
Notes: Article -- Export Date: 2 July 2018 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Philip B Paty
    496 Paty