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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: Apr 7, 2026

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Parallel WGA and WTA for Comparative Genome and Transcriptome NGS Analysis Using Tiny Cell Numbers.

Christian Korfhage¹, Evelyn Fricke¹, Andreas Meier¹

¹Qiagen, Hilden, Germany.

Current Protocols in Molecular Biology

|July 2, 2015

Summary

Accurate whole-genome amplification (WGA) and whole-transcriptome amplification (WTA) enable deep analysis of genomic DNA and transcriptome from minimal cell samples. This method supports comparative genomics and transcriptomics for sensitive biological research.

Keywords:

cancer genome analysis next-generation sequencing (NGS)somatic genome variation transcriptome analysis whole-genome amplification (WGA)whole-transcriptome amplification (WTA)

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

Published on: April 11, 2016

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Last Updated: Apr 7, 2026

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Detection of Copy Number Alterations Using Single Cell Sequencing

Detection of Copy Number Alterations Using Single Cell Sequencing

Published on: February 17, 2017

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

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

Published on: April 11, 2016

Area of Science:

Genomics
Transcriptomics
Molecular Biology

Background:

Genomic DNA regulates transcriptome dynamics and cellular metabolism in response to environmental cues.
Comparative genome and transcriptome analysis links genetic information with expression changes.
Limited sample availability hinders deep analysis of genome and transcriptome using conventional methods like next-generation sequencing (NGS).

Purpose of the Study:

To describe a method for amplifying minute amounts of cellular DNA and RNA for comprehensive analysis.
To enable parallel and comparable deep analysis of the genome and transcriptome from a small number of cells.
To facilitate quantitative analysis of genomic and transcriptomic data from limited samples.

Main Methods:

Development and description of protocols for whole-genome amplification (WGA) and whole-transcriptome amplification (WTA).
Application of highly parallel amplification techniques suitable for minute cell samples.
Inclusion of protocols for quality control of amplified DNA and its use in NGS library preparation.

Main Results:

Successful amplification of genomic DNA and transcriptome from a small number of cells.
Demonstration of a highly parallel and comparable amplification process.
Protocols provided for quality assessment and downstream application in NGS.

Conclusions:

Accurate WGA and WTA are essential for quantitative genomic and transcriptomic analysis of limited cell samples.
The described methods overcome sample size limitations in deep sequencing applications.
This approach enables robust comparative genome and transcriptome studies from minimal biological material.