Literature DB >> 3277705

Pitfalls and practice of Luria-Delbrück fluctuation analysis: a review.

W S Kendal1, P Frost.   

Abstract

Luria-Delbrück fluctuation analysis provides a method to estimate mutation rates in cell populations. Originally designed for bacterial populations, the method now is widely applied in somatic cell genetics and in cancer biology. However, there are fundamental genetic differences between bacteria and somatic cells, and this together with the inherent mathematical complexity of fluctuation analysis can lead to many pitfalls in its application. In addition there is considerable statistical error associated with the method. The use, misuse, and limitations of fluctuation analysis are reviewed here with the hope that such problems may be avoided.

Entities:  

Mesh:

Year:  1988        PMID: 3277705

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  27 in total

Review 1.  The significance of biological heterogeneity.

Authors:  H Rubin
Journal:  Cancer Metastasis Rev       Date:  1990-07       Impact factor: 9.264

2.  Differences in the rates of gene amplification in nontumorigenic and tumorigenic cell lines as measured by Luria-Delbrück fluctuation analysis.

Authors:  T D Tlsty; B H Margolin; K Lum
Journal:  Proc Natl Acad Sci U S A       Date:  1989-12       Impact factor: 11.205

3.  On fluctuation analysis: a new, simple and efficient method for computing the expected number of mutants.

Authors:  S Sarkar; W T Ma; G H Sandri
Journal:  Genetica       Date:  1992       Impact factor: 1.082

4.  A simple formula for obtaining markedly improved mutation rate estimates.

Authors:  Philip Gerrish
Journal:  Genetics       Date:  2008-10-01       Impact factor: 4.562

5.  Clonal aspects of plant cell proliferation and their applications to animal cells and bacteria.

Authors:  R W Korn
Journal:  Cell Prolif       Date:  2008-04-23       Impact factor: 6.831

6.  Aphidicolin-resistant human cell lines resistant to UV and bleomycin.

Authors:  K Kamino; K Fukuchi; K Tanaka; T Miki; J Nakura; Y Takemoto; Y Kumahara; T Ogihara
Journal:  In Vitro Cell Dev Biol       Date:  1993-03

7.  Bayesian procedures for the estimation of mutation rates from fluctuation experiments.

Authors:  G Asteris; S Sarkar
Journal:  Genetics       Date:  1996-01       Impact factor: 4.562

8.  Mutational analysis of the human mitochondrial genome branches into the realm of bacterial genetics.

Authors:  N Howell
Journal:  Am J Hum Genet       Date:  1996-10       Impact factor: 11.025

9.  A sister-strand exchange mechanism for recA-independent deletion of repeated DNA sequences in Escherichia coli.

Authors:  S T Lovett; P T Drapkin; V A Sutera; T J Gluckman-Peskind
Journal:  Genetics       Date:  1993-11       Impact factor: 4.562

10.  Reduced rates of gene loss, gene silencing, and gene mutation in Dnmt1-deficient embryonic stem cells.

Authors:  M F Chan; R van Amerongen; T Nijjar; E Cuppen; P A Jones; P W Laird
Journal:  Mol Cell Biol       Date:  2001-11       Impact factor: 4.272

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.