Profiling age and body fluid DNA methylation markers using nanopore adaptive sampling

被引:8
作者
Yuen, Zaka Wing-Sze [1 ,2 ,3 ]
Shanmuganandam, Somasundhari [4 ,5 ]
Stanley, Maurice [4 ,5 ]
Jiang, Simon [4 ,5 ,6 ]
Hein, Nadine [7 ,8 ]
Daniel, Runa [9 ]
McNevin, Dennis [10 ]
Jack, Cameron [11 ]
Eyras, Eduardo [1 ,2 ,3 ]
机构
[1] Australian Natl Univ, John Curtin Sch Med Res, EMBL Australia Partner Lab Network, Canberra, Australia
[2] Australian Natl Univ, Shine Dalgarno Ctr RNA Innovat, John Curtin Sch Med Res, Canberra, Australia
[3] Australian Natl Univ, John Curtin Sch Med Res, Ctr Computat Biomed Sci, Canberra, Australia
[4] Australian Natl Univ, John Curtin Sch Med Res, Dept Immun Inflammat & Infect, Canberra, ACT 2601, Australia
[5] Australian Natl Univ, Ctr Personalised Immunol, NHMRC Ctr Res Excellence, Canberra, ACT 2601, Australia
[6] Canberra Hosp, Dept Renal Med, Canberra, ACT 2605, Australia
[7] Australian Natl Univ, John Curtin Sch Med Res, ACRF Dept Canc Biol & Therapeut, Canberra, Australia
[8] Australian Natl Univ, John Curtin Sch Med Res, Div Genome Sci & Canc, Canberra, Australia
[9] Queensland Univ Technol, Ctr Genom & Personalised Hlth, Sch Biomed Sci, Brisbane, Qld, Australia
[10] Univ Technol Sydney, Fac Sci, Ctr Forens Sci, Sch Math & Phys Sci, Sydney, Australia
[11] Australian Natl Univ, John Curtin Sch Med Res, ANU Bioinformat Consultancy, Canberra, Australia
基金
英国医学研究理事会; 澳大利亚研究理事会;
关键词
DNA methylation; Age markers; Body fluid markers; Nanopore sequencing; Targeted; Sequencing; PCR-free; Nanopore adaptive sampling; PROTEIN MARKERS; IDENTIFICATION; PREDICTION; BIOMARKER; TOOL; SELECTION; ACCURACY; PATTERNS; BLOOD; SET;
D O I
10.1016/j.fsigen.2024.103048
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
DNA methylation plays essential roles in regulating physiological processes, from tissue and organ development to gene expression and aging processes and has emerged as a widely used biomarker for the identification of body fluids and age prediction. Currently, methylation markers are targeted independently at specific CpG sites as part of a multiplexed assay rather than through a unified assay. Methylation detection is also dependent on divergent methodologies, ranging from enzyme digestion and affinity enrichment to bisulfite treatment, alongside various technologies for high-throughput profiling, including microarray and sequencing. In this pilot study, we test the simultaneous identification of age-associated and body fluid-specific methylation markers using a single technology, nanopore adaptive sampling. This innovative approach enables the profiling of multiple CpG marker sites across entire gene regions from a single sample without the need for specialized DNA preparation or additional biochemical treatments. Our study demonstrates that adaptive sampling achieves sufficient coverage in regions of interest to accurately determine the methylation status, shows a robust consistency with whole-genome bisulfite sequencing data, and corroborates known CpG markers of age and body fluids. Our work also resulted in the identification of new sites strongly correlated with age, suggesting new possible age methylation markers. This study lays the groundwork for the systematic development of nanopore-based methodologies in both age prediction and body fluid identification, highlighting the feasibility and potential of nanopore adaptive sampling while acknowledging the need for further validation and expansion in future research.
引用
收藏
页数:10
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