生物
纳米孔测序
DNA测序
计算生物学
基因组
纳米孔
深度测序
基因组学
全基因组测序
DNA
遗传学
基因
纳米技术
材料科学
作者
Li‐Ting Chen,Myrthe Jager,Dàmi Rebergen,Geertruid J. Brink,Tom van den Ende,Willem Vanderlinden,Pauline J. Kolbeck,Marc Pagès-Gallego,Ymke van der Pol,Nicolle Besselink,Norbert Moldován,Nizar Hami,Wigard P. Kloosterman,Hanneke W. M. van Laarhoven,Florent Moulière,Ronald P. Zweemer,Jan Lipfert,Sarah Derks,Alessio Marcozzi,Jeroen de Ridder
出处
期刊:Genome Research
[Cold Spring Harbor Laboratory Press]
日期:2025-01-13
卷期号:: gr.279144.124-gr.279144.124
标识
DOI:10.1101/gr.279144.124
摘要
Shallow genome-wide cell-free DNA (cfDNA) sequencing holds great promise for non-invasive cancer monitoring by providing reliable copy number alteration (CNA) and fragmentomic profiles. Single nucleotide variations (SNVs) are, however, much harder to identify with low sequencing depth due to sequencing errors. Here we present Nanopore Rolling Circle Amplification (RCA)-enhanced Consensus Sequencing (NanoRCS), which leverages RCA and consensus calling based on genome-wide long-read nanopore sequencing to enable simultaneous multimodal tumor fraction estimation through SNVs, CNAs, and fragmentomics. Efficacy of NanoRCS is tested on 18 cancer patient samples and seven healthy controls, demonstrating its ability to reliably detect tumor fractions as low as 0.24%. In vitro experiments confirm that SNV measurements are essential for detecting tumor fractions below 3%. NanoRCS provides the opportunity for cost-effective and rapid processing, which aligns well with clinical needs, particularly in settings where quick and accurate cancer monitoring is essential for personalized treatment strategies.
科研通智能强力驱动
Strongly Powered by AbleSci AI