Abstract:
:Genotoxicants can be identified as aneugens and clastogens through a micronucleus (MN) assay. The current high-content screening-based MN assays usually discriminate an aneugen from a clastogen based on only one parameter, such as the MN size, intensity, or morphology, which yields low accuracies (70-84%) because each of these parameters may contribute to the results. Therefore, the development of an algorithm that can synthesize high-dimensionality data to attain comparative results is important. To improve the automation and accuracy of detection using the current parameter-based mode of action (MoA), the MN MoA signatures of 20 chemicals were systematically recruited in this study to develop an algorithm. The results of the algorithm showed very good agreement (93.58%) between the prediction and reality, indicating that the proposed algorithm is a validated analytical platform for the rapid and objective acquisition of genotoxic MoA messages.
journal_name
Hum Exp Toxicoljournal_title
Human & experimental toxicologyauthors
Huang ZH,Li N,Rao KF,Liu CT,Huang Y,Ma M,Wang ZJdoi
10.1177/0960327117695635subject
Has Abstractpub_date
2018-03-01 00:00:00pages
285-294issue
3eissn
0960-3271issn
1477-0903journal_volume
37pub_type
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