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Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

Published on: February 24, 2015

LiBis: an ultrasensitive alignment augmentation for low-input bisulfite sequencing.

Yue Yin¹, Jia Li¹, Jin Li¹

¹Texas A&M University College of Medicine.

Briefings in Bioinformatics

|December 14, 2020

Summary

This summary is machine-generated.

LiBis enhances whole-genome bisulfite sequencing (WGBS) for cell-free DNA (cfDNA) analysis. This method improves mapping efficiency and data accuracy for liquid biopsies, aiding disease diagnosis and biomarker discovery.

Keywords:

DNA Methylation WGBS cfDNA liquid biopsy virus insertion site

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Area of Science:

Genomics
Epigenetics
Biotechnology

Background:

Cell-free DNA (cfDNA) methylation profiles in liquid biopsies are valuable for early disease detection and therapy response assessment.
Clinical isolation yields limited cfDNA amounts, posing challenges for whole-genome bisulfite sequencing (WGBS).
Low cfDNA input in WGBS leads to low mapping ratios, reduced sequencing depth, and limited CpG site coverage, hindering clinical application.

Purpose of the Study:

To develop a novel computational method, LiBis (Low-input Bisulfite Sequencing), to improve data analysis for low-input cfDNA WGBS.
To overcome the bottleneck of low mapping ratios in low-input cfDNA WGBS data.
To enhance the precision and cost-effectiveness of cfDNA methylation analysis for biomarker discovery.

Main Methods:

Developed LiBis, a novel alignment method for low-input WGBS data.
Implemented dynamic clipping and remapping of unmapped reads to rescue and align DNA fragments.
Incorporated dynamic removal of random priming contamination to improve cost efficiency.

Main Results:

LiBis significantly increased the mapping ratio of low-input cfDNA WGBS reads by up to 88%.
The method substantially improved the number of informative CpGs and the precision of methylation quantification.
LiBis enhanced the cost-effectiveness of low-input WGBS experiments.

Conclusions:

LiBis effectively addresses the challenges of low-input cfDNA WGBS data analysis.
The improved sensitivity and cost-effectiveness of LiBis facilitate the discovery of genetic and epigenetic biomarkers.
This method supports the clinical utility of liquid biopsy for disease diagnosis and monitoring.