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Updated: Feb 15, 2026

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Unbiased Deep Sequencing of RNA Viruses from Clinical Samples
Published on: July 2, 2016
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A robust targeted sequencing approach for low input and variable quality DNA from clinical samples.
Austin P So1, Anna Vilborg1, Yosr Bouhlal1
1TOMA Biosciences, Foster City, CA USA.
NPJ Genomic Medicine
|January 23, 2018
Summary
This study introduces a novel targeted sequencing assay for identifying cancer mutations from degraded DNA. The method enhances accuracy and reduces bias by minimizing polymerase chain reaction (PCR) amplification, improving cancer diagnostics.
Area of Science:
- Molecular Biology
- Genomics
- Cancer Research
Background:
- Next-generation sequencing (NGS) gene panels are crucial for identifying actionable mutations in cancer diagnostics.
- Clinical samples, particularly formalin-fixed, paraffin-embedded (FFPE) specimens, often yield low-quality, degraded DNA.
- Current NGS assays frequently require extensive PCR amplification, introducing bias and artifacts.
Purpose of the Study:
- To evaluate a targeted sequencing assay using Oligonucleotide Selective Sequencing (OSS) for analyzing low-quality DNA.
- To address the need for a reliable method that minimizes PCR amplification for cancer mutation detection.
- To assess the assay's performance with limited and damaged DNA input from clinical samples.
Main Methods:
- Utilized Oligonucleotide Selective Sequencing (OSS) for targeted gene enrichment and variant identification.
- Employed a DNA repair process optimized for FFPE samples, followed by single-stranded DNA adaptor ligation.
- Incorporated a primer-based capture technique, reducing reliance on extensive PCR amplification.
Main Results:
- Achieved high read coverage uniformity across a 130-gene panel with as little as 10 ng of input DNA.
- Demonstrated accurate detection of single nucleotide variants (SNVs) and insertion/deletion (indel) mutations.
- Enabled reliable assessment of copy number alterations (CNAs) alongside SNV and indel detection.
- Successfully identified sequence variants in DNA from diverse matched clinical FFPE samples.
Conclusions:
- The OSS-based targeted sequencing assay effectively analyzes low-quantity, degraded DNA from FFPE samples.
- This method provides high-fidelity libraries with reduced PCR bias, improving diagnostic accuracy for cancer mutations.
- The assay facilitates accurate detection of SNVs, indels, and CNAs, offering a valuable tool for clinical cancer genomics.
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