Quantification of somatic mutation flow across individual cell division events by lineage sequencing

Area of Science:

• Genomics and Molecular Biology
• Cancer Research
• Cellular Dynamics

Background:

• Somatic mutations are key to understanding diseases like cancer and aging.
• Existing genome-wide methods struggle to resolve rare somatic variants and their relationships.
• Accurate reconstruction of somatic mutation events is essential for detailed biological insights.

Purpose of the Study:

• To introduce lineage sequencing, a novel genome sequencing approach.
• To enable high-resolution reconstruction of somatic events, down to the single-cell level.
• To precisely assign mutations to specific lineage segments within cell populations.

Main Methods:

• Lineage sequencing involves sampling single cells and sequencing derived subclonal sets.
• Joint variant calling across sample sets leverages known cellular relationships.
• Data integration from multiple sequence libraries enhances variant support and assignment accuracy.

Main Results:

• Demonstrated high sensitivity, specificity, and resolution in somatic mutation calling.
• Enabled quantitative analysis of mutation rate variation, spectrum, and inter-variant correlations.
• Revealed non-uniform mutation probability across sublineages and strong mutation correlations.

Conclusions:

• Lineage sequencing provides unprecedented resolution for somatic mutation analysis.
• The approach facilitates linking single-cell phenotypes with mutation data.
• Findings offer new insights into DNA lesion dynamics and mutation accumulation patterns.