Literature DB >> 15234004

Estimating mutant microsatellite allele frequencies in somatic cells by small-pool PCR.

Mary Coolbaugh-Murphy1, Atousa Maleki, Lou Ramagli, Marsha Frazier, Benjamin Lichtiger, Darren G Monckton, Michael J Siciliano, Barry W Brown.   

Abstract

Identifying microsatellite instability (MSI) by partitioning DNA into multiple small pools containing only single genome amounts of DNA results in trapping both progenitor and low-frequency mutant alleles into pools where they can be identified and counted following PCR. Statistical approaches determining both the frequencies and the significant differences between frequencies of these Poisson-distributed alleles are presented. Results indicate a level of sensitivity and quantification not possible by standard PCR methods. Using material from colon cancer patients with high levels of MSI in their tumors, we also present the molecular and robotic methods for carrying out such studies. Validation experiments indicated mutants detectable at frequencies >0.03 above background. Frequencies obtained in tumor tissue (>0.25) met the expectations of the approach. Significant levels of MSI were detected in the constitutive tissue of the patient carrying a germ-line mutation for mismatch repair, suggesting both mechanistic and clinical applications of the procedure.

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Year:  2004        PMID: 15234004     DOI: 10.1016/j.ygeno.2004.03.007

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  11 in total

1.  The cellular, developmental and population-genetic determinants of mutation-rate evolution.

Authors:  Michael Lynch
Journal:  Genetics       Date:  2008-08-30       Impact factor: 4.562

2.  Analysis of microsatellite mutations in buccal cells from a case-control study for lung cancer.

Authors:  Jessica L Baumann; Ming Li; Aslak Poulsen; Nicholson S Chadwick; Qiuyin Cai; Christine H Chung; Yu Shyr; Jørgen H Olsen; Wei Zheng; Robbert J C Slebos
Journal:  Cancer Epidemiol       Date:  2011-11-06       Impact factor: 2.984

3.  Determining microsatellite genotyping reliability and mutation detection ability: an approach using small-pool PCR from sperm DNA.

Authors:  Anna J Macdonald; Stephen D Sarre; Nancy N Fitzsimmons; Nicola Aitken
Journal:  Mol Genet Genomics       Date:  2010-10-19       Impact factor: 3.291

4.  Microsatellite instability in the peripheral blood leukocytes of HNPCC patients.

Authors:  Mary I Coolbaugh-Murphy; Jing-Ping Xu; Louis S Ramagli; Brian C Ramagli; Barry W Brown; Patrick M Lynch; Stanley R Hamilton; Marsha L Frazier; Michael J Siciliano
Journal:  Hum Mutat       Date:  2010-03       Impact factor: 4.878

5.  Premutation allele pool in myotonic dystrophy type 2.

Authors:  L L Bachinski; T Czernuszewicz; L S Ramagli; T Suominen; M D Shriver; B Udd; M J Siciliano; R Krahe
Journal:  Neurology       Date:  2008-11-19       Impact factor: 9.910

6.  Microsatellite mutations in buccal cells are associated with aging and head and neck carcinoma.

Authors:  R J C Slebos; M Li; S Vadivelu; B B Burkey; J L Netterville; R Sinard; J Gilbert; B Murphy; C H Chung; Y Shyr; W G Yarbrough
Journal:  Br J Cancer       Date:  2008-01-22       Impact factor: 7.640

7.  Progression inference for somatic mutations in cancer.

Authors:  Leif E Peterson; Tatiana Kovyrshina
Journal:  Heliyon       Date:  2017-04-11

8.  Mlh1 heterozygosity and promoter methylation associates with microsatellite instability in mouse sperm.

Authors:  Kul S Shrestha; Minna M Tuominen; Liisa Kauppi
Journal:  Mutagenesis       Date:  2021-07-07       Impact factor: 3.000

9.  A novel method for biodosimetry.

Authors:  Wael Abdel Megid; Martin G Ensenberger; Richard B Halberg; Stephen A Stanhope; Marijo G Kent-First; Tomas A Prolla; Jeff W Bacher
Journal:  Radiat Environ Biophys       Date:  2006-10-27       Impact factor: 2.017

Review 10.  Molecular models for the tissue specificity of DNA mismatch repair-deficient carcinogenesis.

Authors:  Elizabeth C Chao; Steven M Lipkin
Journal:  Nucleic Acids Res       Date:  2006-02-06       Impact factor: 16.971

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