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RNA-seq

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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.
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Related Experiment Video

Updated: Jun 1, 2026

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture (4C-seq)

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture (4C-seq)

Published on: October 5, 2018

Large scale library generation for high throughput sequencing.

Erik Borgström¹, Sverker Lundin, Joakim Lundeberg

¹Science for Life Laboratory, Division of Gene Technology, Royal Institute of Technology (KTH), School of Biotechnology, Solna, Sweden.

|May 19, 2011

Summary

This summary is machine-generated.

Automating DNA library preparation, this study presents a novel method using paramagnetic beads and a liquid handling robot for efficient size selection. This approach significantly reduces hands-on time for high-throughput sequencing applications.

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Last Updated: Jun 1, 2026

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture (4C-seq)

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture (4C-seq)

Published on: October 5, 2018

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Published on: July 15, 2018

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Published on: March 15, 2019

Area of Science:

Molecular Biology
Genomics
Biotechnology

Background:

High-throughput sequencing demands automated sample preparation to match instrument speed.
Agarose gel electrophoresis for DNA size selection remains a labor-intensive bottleneck.

Purpose of the Study:

To develop an automated method for DNA library preparation and size selection.
To overcome the limitations of manual size selection in high-throughput protocols.

Main Methods:

Utilized a liquid handling robot for automated library preparation.
Employed selective precipitation of DNA molecules onto paramagnetic beads for size selection.
Integrated standard enzymatic reactions with automated bead-based cleanup and selection.

Main Results:

Achieved automated library preparation and size selection for Illumina HiSeq 2000.
Processed 12 samples per instrument in approximately 4 hours.
Generated sequencing libraries with quality scores and pass filter rates comparable to manual methods.

Conclusions:

The automated method streamlines DNA library preparation for de novo and re-sequencing.
The protocol offers adjustable sample size distribution suitable for various high-throughput DNA applications.
This automation addresses a critical bottleneck, enhancing overall sequencing workflow efficiency.