SMAC: identifying DNA N6-methyladenine (6mA) at the single-molecule level using SMRT CCS data.
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| Format: | Artículo científico |
| Langue: | en |
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Briefings in bioinformatics
2025
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| _version_ | 1868266216510980098 |
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| author | Li, Haicheng Niu, Junhua Sheng, Yalan Liu, Yifan Gao, Shan |
| author_facet | Li, Haicheng Niu, Junhua Sheng, Yalan Liu, Yifan Gao, Shan Li, Haicheng Niu, Junhua Sheng, Yalan Liu, Yifan Gao, Shan |
| collection | PubMed - marine biology |
| contents | SMAC: identifying DNA N6-methyladenine (6mA) at the single-molecule level using SMRT CCS data. Li, Haicheng Niu, Junhua Sheng, Yalan Liu, Yifan Gao, Shan Adenine DNA Sequence Analysis, DNA Humans Software High-Throughput Nucleotide Sequencing DNA Methylation DNA modifications, such as N6-methyladenine (6mA), play important roles in various processes in eukaryotes. Single-molecule, real-time (SMRT) sequencing enables the direct detection of DNA modifications without requiring special sample preparation. However, most SMRT-based studies of 6mA rely on ensemble-level consensus by combining multiple reads covering the same genomic position, which misses the single-molecule heterogeneity. While recent methods have aimed at single-molecule level detection of 6mA, limitations in sequencing platforms, resolution, accuracy, and usability restrict their application in comprehensive epigenetic studies. Here, we present SMAC (single-molecule 6mA analysis of CCS reads), a novel framework for accurately detecting 6mA at the single-molecule level using SMRT circular consensus sequencing (CCS) data from the Sequel II system. It is an automated method that streamlines the entire workflow by packaging both existing softwares and built-in scripts, with user-defined parameters to allow easy adaptation for various studies. By utilizing the statistical distribution characteristics of enzyme kinetic indicators on single DNA molecules rather than a fixed cutoff, SMAC significantly improves 6mA detection accuracy at the single-nucleotide and single-molecule levels. It simplifies analysis by providing comprehensive information, including quality control, statistical analysis, and site visualization, directly from raw sequencing data. SMAC is a powerful new tool that enables de novo detection of 6mA and empowers investigation of its functions in modulating physiological processes. |
| format | Artículo científico |
| id | pubmed_40205850 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Briefings in bioinformatics |
| record_format | pubmed |
| spellingShingle | SMAC: identifying DNA N6-methyladenine (6mA) at the single-molecule level using SMRT CCS data. Li, Haicheng Niu, Junhua Sheng, Yalan Liu, Yifan Gao, Shan Adenine DNA Sequence Analysis, DNA Humans Software High-Throughput Nucleotide Sequencing DNA Methylation SMAC: identifying DNA N6-methyladenine (6mA) at the single-molecule level using SMRT CCS data. Li, Haicheng Niu, Junhua Sheng, Yalan Liu, Yifan Gao, Shan Adenine DNA Sequence Analysis, DNA Humans Software High-Throughput Nucleotide Sequencing DNA Methylation DNA modifications, such as N6-methyladenine (6mA), play important roles in various processes in eukaryotes. Single-molecule, real-time (SMRT) sequencing enables the direct detection of DNA modifications without requiring special sample preparation. However, most SMRT-based studies of 6mA rely on ensemble-level consensus by combining multiple reads covering the same genomic position, which misses the single-molecule heterogeneity. While recent methods have aimed at single-molecule level detection of 6mA, limitations in sequencing platforms, resolution, accuracy, and usability restrict their application in comprehensive epigenetic studies. Here, we present SMAC (single-molecule 6mA analysis of CCS reads), a novel framework for accurately detecting 6mA at the single-molecule level using SMRT circular consensus sequencing (CCS) data from the Sequel II system. It is an automated method that streamlines the entire workflow by packaging both existing softwares and built-in scripts, with user-defined parameters to allow easy adaptation for various studies. By utilizing the statistical distribution characteristics of enzyme kinetic indicators on single DNA molecules rather than a fixed cutoff, SMAC significantly improves 6mA detection accuracy at the single-nucleotide and single-molecule levels. It simplifies analysis by providing comprehensive information, including quality control, statistical analysis, and site visualization, directly from raw sequencing data. SMAC is a powerful new tool that enables de novo detection of 6mA and empowers investigation of its functions in modulating physiological processes. |
| title | SMAC: identifying DNA N6-methyladenine (6mA) at the single-molecule level using SMRT CCS data. |
| topic | Adenine DNA Sequence Analysis, DNA Humans Software High-Throughput Nucleotide Sequencing DNA Methylation |
| url | https://pubmed.ncbi.nlm.nih.gov/40205850/ |