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Mutagenesis, Vol. 14, No. 3, 271-281, May 1999
© 1999 UK Environmental Mutagen Society/Oxford University Press


Review

Issues for conducting the microtiter version of the mouse lymphoma thymidine kinase (tk) assay and a critical review of data generated in a collaborative trial using the microtiter method

Martha M. Moore2, Karen Harrington-Brock and Jane Cole1

Environmental Carcinogenesis Division, National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA and 1 Medical Research Council, Cell Mutation Unit, University of Sussex, Falmer, Brighton BN1 9RR, UK


    Introduction
 
In response to a need to evaluate and validate the mouse lymphoma thymidine kinase (tk) assay in their laboratories, a large group of Japanese researchers worked together to establish the microtiter version of the assay and to compare that data from the mouse lymphoma assay with cytogenetic data. The results of this impressive and logistically difficult collaboration were submitted to Mutagenesis for publication by Honma et al. (1999). The peer reviewers of the paper, while recognizing the significant accomplishment required to generate the data and the need to publish the data, did not feel that the data should be published without comment. They suggested that the manuscript be published concurrently with a detailed review of the data.

Subsequently, we were asked by Dr James Parry to conduct such a detailed review. In so doing, we are taking the opportunity to: (i) identify issues that are particularly important in the . . . [Full Text of this Article]


    Background
 
Quality of the published data using the soft agar method

    Important issues for microtiter assay conduct and general observations concerning this data set
 
Scoring of large and small colonies using microtiter plates
Cloning efficiencies
Estimating the toxic effect of the chemical
Dose selection
Statistical analyses of the data
Criteria for defining individual experiment acceptability
Evaluation criteria
Positive. Equivocal. Negative and non-toxic negative. Not testable (or inappropriate for testing). Inconclusive.
    Data evaluation
 

    Final comments
 

    Notes
 

    References
 

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