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Methylation-capture and Next-Generation sequencing of free circulating DNA from human plasma
Journal article   Open access   Peer reviewed

Methylation-capture and Next-Generation sequencing of free circulating DNA from human plasma

K. Warton, V. Lin, T. Navin, N.J. Armstrong, W. Kaplan, K. Ying, B. Gloss, H. Mangs, S.S. Nair, N.F. Hacker, …
BMC Genomics, Vol.15(1), pp.476-489
2014
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Abstract

Background Free circulating DNA (fcDNA) has many potential clinical applications, due to the non-invasive way in which it is collected. However, because of the low concentration of fcDNA in blood, genome-wide analysis carries many technical challenges that must be overcome before fcDNA studies can reach their full potential. There are currently no definitive standards for fcDNA collection, processing and whole-genome sequencing. We report novel detailed methodology for the capture of high-quality methylated fcDNA, library preparation and downstream genome-wide Next-Generation Sequencing. We also describe the effects of sample storage, processing and scaling on fcDNA recovery and quality. Results Use of serum versus plasma, and storage of blood prior to separation resulted in genomic DNA contamination, likely due to leukocyte lysis. Methylated fcDNA fragments were isolated from 5 donors using a methyl-binding protein-based protocol and appear as a discrete band of ~180 bases. This discrete band allows minimal sample loss at the size restriction step in library preparation for Next-Generation Sequencing, allowing for high-quality sequencing from minimal amounts of fcDNA. Following sequencing, we obtained 37×106-86×106 unique mappable reads, representing more than 50% of total mappable reads. The methylation status of 9 genomic regions as determined by DNA capture and sequencing was independently validated by clonal bisulphite sequencing. Conclusions Our optimized methods provide high-quality methylated fcDNA suitable for whole-genome sequencing, and allow good library complexity and accurate sequencing, despite using less than half of the recommended minimum input DNA.

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Collaboration types
Domestic collaboration
Citation topics
1 Clinical & Life Sciences
1.199 Lung Cancer
1.199.1633 Circulating Tumor Biomarkers
Web Of Science research areas
Biotechnology & Applied Microbiology
Genetics & Heredity
ESI research areas
Molecular Biology & Genetics
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