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RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

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Related Experiment Video

Updated: Jun 12, 2025

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

Exome Sequencing Starting from Single Cells.

Ioanna Andreou¹, Markus Storbeck¹, Peter Hahn¹

¹QIAGEN GmbH, Hilden, Germany.

Current Protocols

|September 26, 2024

Summary

This summary is machine-generated.

Single-cell genomic analysis is now feasible using multiple displacement amplification (MDA) for unbiased DNA amplification. This enables high-complexity next-generation sequencing (NGS) libraries for comprehensive variant detection in research.

Keywords:

exome enrichment genomics multiple displacement amplification single cell

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Last Updated: Jun 12, 2025

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

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Published on: February 11, 2022

Area of Science:

Genomics
Molecular Biology
Biotechnology

Background:

Single-cell genomic analysis offers insights into development, tumors, and diseases.
Limited DNA in single cells traditionally challenges next-generation sequencing (NGS).
Multiple displacement amplification (MDA) provides unbiased amplification of limited DNA quantities.

Purpose of the Study:

To describe a complete workflow for generating exome-NGS libraries from single cells or small DNA amounts.
To detail protocols for whole genome amplification, NGS library generation, and exome enrichment.
To facilitate comprehensive genetic variation analysis for inherited diseases of unknown origin.

Main Methods:

Utilizing multiple displacement amplification (MDA) for unbiased whole genome amplification from single cells or small DNA quantities.
Generating high-complexity NGS libraries from MDA-amplified DNA for high coverage.
Employing hybrid capture enrichment methods after preamplification for exome sequencing.

Main Results:

Successful generation of exome-NGS libraries from single cells and small DNA amounts.
High yield and complexity of NGS libraries ensuring effective variant calling.
Demonstration of a complete workflow compatible with Illumina sequencing instruments.

Conclusions:

MDA technology overcomes DNA limitations for single-cell genomic analysis.
The described protocols enable comprehensive exome sequencing for identifying genetic variations.
This workflow supports research in developmental biology, tumor heterogeneity, and disease pathogenesis.