Literature DB >> 9372853

Genotypic selection methods for the direct analysis of point mutations.

B L Parsons1, R H Heflich.   

Abstract

Genotypic selection enriches a particular DNA sequence relative to another closely-related DNA sequence based only on a change of one or a few bases. This review is a survey of the genotypic selection methods that have the sensitivity to detect rare point mutations. These methods are primarily being used to study mutations caused by environmental mutagens; however, the ability to detect and measure very minor DNA sequence populations is likely to further research efforts in many fields. The approaches for allele-selection have intrinsic strengths and weaknesses, and vary greatly in sensitivity. The most sensitive method is Restriction Fragment Length Polymorphism/Polymerase Chain Reaction (RFLP/PCR) by which mutant fractions as low as 1 mutant allele in 10(8) wild-type alleles can be detected. The RFLP/PCR approach is presented as a prototype genotypic selection method. Genotypic selection methods are categorized in terms of those that (1) selectively destroy the abundant or wild-type allele, (2) selectively amplify the rare or mutant allele, or (3) spatially separate the alleles. Issues relevant to the further development of genotypic selection methods include initial DNA pool size, strategies to eliminate the bulk of extraneous DNA, the use of an internal copy number standard in quantitative PCR, the fidelity of thermostable DNA polymerases, and the effective use of PCR in linking two or more genotypic selection techniques. We conclude that proficient genotypic selection requires more than one allele-enrichment technique with at least one of these preceding a high-fidelity PCR amplification step.

Mesh:

Year:  1997        PMID: 9372853     DOI: 10.1016/s1383-5742(97)00026-4

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  24 in total

1.  Novel amplification of DNA in a hairpin structure: towards a radical elimination of PCR errors from amplified DNA.

Authors:  Manjit Kaur; G Mike Makrigiorgos
Journal:  Nucleic Acids Res       Date:  2003-03-15       Impact factor: 16.971

2.  SNP2CAPS: a SNP and INDEL analysis tool for CAPS marker development.

Authors:  Thomas Thiel; Raja Kota; Ivo Grosse; Nils Stein; Andreas Graner
Journal:  Nucleic Acids Res       Date:  2004-01-02       Impact factor: 16.971

3.  Detection of low-level KRAS mutations using PNA-mediated asymmetric PCR clamping and melting curve analysis with unlabeled probes.

Authors:  Ji Eun Oh; Hee Sun Lim; Chang Hyeok An; Eun Goo Jeong; Ji Youn Han; Sug Hyung Lee; Nam Jin Yoo
Journal:  J Mol Diagn       Date:  2010-04-22       Impact factor: 5.568

4.  Wild-type Blocking PCR Combined with Direct Sequencing as a Highly Sensitive Method for Detection of Low-Frequency Somatic Mutations.

Authors:  Adam Z Albitar; Wanlong Ma; Maher Albitar
Journal:  J Vis Exp       Date:  2017-03-29       Impact factor: 1.355

Review 5.  Enhancing the accuracy of next-generation sequencing for detecting rare and subclonal mutations.

Authors:  Jesse J Salk; Michael W Schmitt; Lawrence A Loeb
Journal:  Nat Rev Genet       Date:  2018-03-26       Impact factor: 53.242

6.  Pyrophosphorolysis-activatable oligonucleotides may facilitate detection of rare alleles, mutation scanning and analysis of chromatin structures.

Authors:  Qiang Liu; Steve S Sommer
Journal:  Nucleic Acids Res       Date:  2002-01-15       Impact factor: 16.971

7.  Genome-wide variation of the somatic mutation frequency in transgenic plants.

Authors:  I Kovalchuk; O Kovalchuk; B Hohn
Journal:  EMBO J       Date:  2000-09-01       Impact factor: 11.598

8.  Prognostic value of IDH1 mutations identified with PCR-RFLP assay in glioblastoma patients.

Authors:  Mateusz Bujko; Paulina Kober; Ewa Matyja; Paweł Nauman; Katarzyna Dyttus-Cebulok; Beata Czeremszyńska; Wiesław Bonicki; Janusz A Siedlecki
Journal:  Mol Diagn Ther       Date:  2010-06-01       Impact factor: 4.074

Review 9.  PCR-based methods for the enrichment of minority alleles and mutations.

Authors:  Coren A Milbury; Jin Li; G Mike Makrigiorgos
Journal:  Clin Chem       Date:  2009-02-06       Impact factor: 8.327

10.  Quantification of random mutations in the mitochondrial genome.

Authors:  Marc Vermulst; Jason H Bielas; Lawrence A Loeb
Journal:  Methods       Date:  2008-10-21       Impact factor: 3.608

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.