z-logo
open-access-imgOpen Access
Colorimetric Approach to High-Throughput Mutation Analysis
Author(s) -
Nicole Benoit,
David Goldenberg,
Shirley Xiaoxuan Deng,
Eli Rosenbaum,
Yoram Cohen,
Joseph A. Califano,
William H. Shackelford,
Xiao B. Wang,
David Sidransky
Publication year - 2005
Publication title -
biotechniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 131
eISSN - 1940-9818
pISSN - 0736-6205
DOI - 10.2144/05384pf01
Subject(s) - mutation , oligonucleotide , genomic dna , primer extension , biology , microbiology and biotechnology , primer (cosmetics) , genetics , polymerase chain reaction , high throughput screening , computational biology , dna , gene , chemistry , base sequence , organic chemistry
High-throughput genomic mutation screening for primary tumors has characteristically been expensive, labor-intensive, and inadequate to detect low levels of mutation in a background of wild-type signal. We present a new, combined PCR and colorimetric approach that is inexpensive, simple, and can detect the presence of 1% mutation in a background of wild-type. We compared manual dideoxy sequencing of p53 for eight lung cancer samples to a novel assay combining a primer extension step and an enzymatic colorimetric step in a 96-well plate with covalently attached oligonucleotide sequences. For every sample, we were able to detect the presence or absence of the specific mutation with a statistically significant difference between the sample optical density (OD) and the background OD, with a sensitivity and specificity of 100%. This assay is straightforward, accurate, inexpensive, and allows for rapid, high-throughput analysis of samples, making it ideal for genomic mutation or polymorphism screening studies in both clinical and research settings.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom