AI驱动的液体活检技术
ID:74 View Protection:ATTENDEE Updated Time:2025-03-25 14:47:22 Hits:461 Oral Presentation

Start Time:2025-03-30 11:10(Asia/Shanghai)

Duration:20min

Session:S7 前沿论坛 (基因组大数据与AI) » s7前沿论坛(基因组大数据与AI)

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Abstract
Cell-free DNA (cfDNA) molecules are short fragments generated through a non-random procedure. Hallmarks of cfDNA fragmentation patterns include a major peak at 166 bp and 10-bp periodicity below 143 bp, which characteristics had been hypothesized to correlate with the nucleosome structure. However, to date, the underline molecular mechanisms/regulators interacting with these nucleases are still unclear. In this study, we report a DNA methylation - nuclease preference - cutting end - size distribution axis, demonstrating the role of DNA methylation as a functional molecular regulator of cfDNA fragmentation. Hence, low-level DNA methylation would increase nucleosome accessibility and alters the cutting activities of nucleases during DNA fragmentation, which further leads to variations in cutting sites and size distribution of cfDNA. We further demonstrated the feasibility in enriching tumor-derived cfDNA in cancer patients through selection of molecules possessing ends discordant with nucleosomes, which inspired three cfDNA fragmentomic metrics that showed significant alterations in cancer patients; by incorporating machine learning, we further built high-performance diagnostic models and enabled accurate and sensitive cancer diagnosis.
Keywords
Speaker
孙坤
研究员 深圳湾实验室

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Important Date
  • Conference Date

    Mar 28

    2025

    to

    Mar 30

    2025

  • Apr 15 2025

    Registration deadline

Sponsored By
中国生物信息学学会基因组信息学专业委员会
Organized By
中国农业科学院农业基因组研究所
大鹏湾实验室
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