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Next-generation Sequencing

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....

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Related Experiment Video

Updated: Mar 25, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

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Effective quality management practices in routine clinical next-generation sequencing.

Francine B de Abreu, Jason D Peterson, Christopher I Amos

Clinical Chemistry and Laboratory Medicine

|February 13, 2016

Summary

Next-generation sequencing (NGS) effectively identifies cancer somatic variants for personalized treatment. This study details NGS quality control and variant findings in over 1000 tumor samples, aiding clinical decisions.

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Last Updated: Mar 25, 2026

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Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Published on: September 20, 2016

Area of Science:

Oncology
Genomics
Molecular Diagnostics

Background:

Molecular technologies enable cancer profiling through somatic variant detection.
Next-generation sequencing (NGS) is crucial for personalized patient care in oncology.
Establishing robust laboratory quality management is vital for accurate NGS testing.

Purpose of the Study:

To describe the laboratory quality management program for NGS testing.
To provide an overview of somatic variants identified in over 1000 patient samples.
To discuss the clinical implications of identified somatic variants.

Main Methods:

1028 formalin-fixed, paraffin-embedded (FFPE) tumor tissues were analyzed.
A comprehensive quality control (QC) program was implemented across multiple stages of NGS.
Genomic DNA was used to prepare libraries for sequencing on the Ion Torrent PGM System.

Main Results:

877 samples were successfully sequenced after passing QC checkpoints.
750 samples were positive for somatic variants, while 127 were wild-type.
60% of identified somatic variants were clinically actionable.

Conclusions:

NGS enables the detection of tumor profiles critical for targeted therapy selection.
NGS facilitates the identification of patients eligible for clinical trials.
Routine clinical application of NGS improves personalized patient care in oncology.