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Genome-wide mutation analysis induced by mutagens in TK6 cells using Hawk-Seq™
Yuki Otsubo1, Takako Hirose1, Shoji Matsumura1
1R&D -Safety Science Research, Kao Corporation, 3-25-14 Tono-machi, Kawasaki-ku, Kawasaki-shi, Kanagawa 210-0821, Japan.
Summary
Error-corrected next-generation sequencing (ecNGS) using Hawk-Seq™ effectively identified chemical-induced mutations in human cells. This method significantly reduced background noise, improving the detection of rare genetic alterations.
Area of Science:
- Genomics
- Toxicology
- Molecular Biology
Background:
- Error-corrected next-generation sequencing (ecNGS) is crucial for detecting rare mutations.
- Clonal and sub-clonal variants (CVs and SCVs) can reduce mutation detection sensitivity in sequencing studies.
- The TK6 human lymphoblastoid cell line is a standard model for genotoxicity testing.
Purpose of the Study:
- To apply Hawk-Seq™ for evaluating chemical-induced mutations in TK6 cells.
- To identify and filter out clonal and sub-clonal variants to improve mutation detection sensitivity.
- To establish a reliable method for assessing mutagenicity of chemicals like MNU and ENU.
Main Methods:
- Resequencing of the TK6 genome to identify 4,501,430 clonal variants (CVs).
- Filtering of common base substitutions (BSs) across vehicle controls to identify and remove sub-clonal variants (SCVs).
- Application of Hawk-Seq™ to TK6 cells treated with N-methyl-N-nitrosourea (MNU) and N-ethyl-N-nitrosourea (ENU) after rigorous background filtering.
Main Results:
- Initial BS frequency in vehicle controls was 2.0 × 10-6 bp, reduced to 0.65 × 10-6 bp after filtering CVs and SCVs.
- MNU treatment resulted in a BS frequency of 9.0 × 10-6 bp, predominantly G:C > A:T mutations.
- ENU treatment showed a BS frequency of 2.0 × 10-6 bp, with increased G:C > A:T, A:T > C:G, and A:T > G:C mutations.
Conclusions:
- The developed method using Hawk-Seq™ with CV/SCV filtering significantly enhances the signal-to-noise ratio for mutation detection.
- The method accurately identified distinct mutagenic profiles for MNU and ENU, reflecting their known mechanisms.
- This approach holds potential for sensitive detection of mutations and elucidation of diverse mutagenic mechanisms in toxicological studies.
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