NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Renewable Standard Reference Material for the Detection of TP53 Mutations
Published
Author(s)
C D. O'Connell, L A. Tully, J E. Devaney, M A. Marino, J P. Jakupciak, Donald H. Atha
Abstract
It is important to have standards for use in mutation detection systems to monitor the sensitivity of mutation detection and the possible introduction of errors during amplification and separation procedures. We have developed 12 plasmid clones containing a 2.0 kilobase region of the TP3 gene including exons 5-9. Eleven of these clones contain a single mutation within the mutational hot spots of the TP53 gene, the twelfth is wild type in this region of the gene. We have analyzed the single point mutations by capillary electrophoresis single strand conformational polymorphism (CE-SSCP), denaturing gradient gel electrophoresis (DGGE), and denaturing high performance liquid chromatography (DHPLC), as well as full sequence analysis of both DNA strands of the cloned material. Results were compared for the three detection systems. The SRM reference panel was successfully implemented to validate mutation detection across these different technology platforms.
O'Connell, C.
, Tully, L.
, Devaney, J.
, Marino, M.
, Jakupciak, J.
and Atha, D.
(2021),
Renewable Standard Reference Material for the Detection of TP53 Mutations, Molecular Diagnostics, Undefined
(Accessed October 24, 2025)