SinoDuplex

SinoDuplex enhances detection of low-frequency mutations in plasma cell-free DNA (cfDNA) by using an improved duplex sequencing approach to generate accurate duplex consensus sequences for sensitive variant calling.

Key Features:

• Improved consensus sequence generation: Utilizes a pool of adapters with pre-defined barcode sequences to generate consensus sequences and reduce the number of possible barcode combinations compared to random-sequence methods.
• Novel computational algorithm for duplex consensus: Employs a computational analysis algorithm to produce duplex consensus sequences enabling precise detection of very low allele-frequency mutations.
• Cost-effectiveness: Optimizes consensus generation and barcode usage to lower sequencing complexity and overall assay cost.
• Validation on clinical materials: Demonstrated efficacy using reference standard samples and cfDNA from lung cancer patients for low-frequency variant detection.

Scientific Applications:

• Liquid biopsy-based cancer diagnostics: Detection of low-frequency mutations in plasma cfDNA for cancer diagnosis from liquid biopsies.
• Tumor dynamics and treatment monitoring: Tracking tumor burden and treatment response through sensitive detection of emerging low-allele-frequency variants.
• Personalized medicine: Precise mutation detection from plasma samples to inform individualized clinical decision-making.

Methodology:

Generates duplex consensus sequences by using a pool of adapters with pre-defined barcode sequences and a computational analysis algorithm to reduce barcode combination space versus random barcodes and produce accurate duplex consensus reads.