Related Experiment Video
Updated: Mar 11, 2026

08:49
Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs
Published on: September 16, 2019
8.2K
Small RNA Library Preparation Method for Next-Generation Sequencing Using Chemical Modifications to Prevent Adapter
Sabrina Shore1, Jordana M Henderson1, Alexandre Lebedev1
1Research and Development, Cell and Molecular Biology, TriLink BioTechnologies LLC., San Diego, California, United States of America.
Plos One
|November 23, 2016
Summary
This study introduces a novel small RNA (sRNA) library preparation method using modified adapters to reduce adapter dimer formation. This approach lowers sample input needs and removes the need for gel purification, enabling automated sRNA sequencing.
Area of Science:
- Molecular Biology
- Genomics
- Biotechnology
Background:
- Automation of RNA and DNA sample preparation facilitates high-throughput next-generation sequencing (NGS).
- Small RNA (sRNA) sequencing adoption is limited by high sample input requirements and adapter dimer formation during library preparation.
- Adapter dimers are size-similar to tagged libraries, necessitating gel purification, which is inefficient at low sample inputs.
Purpose of the Study:
- To develop a more specific sRNA library preparation workflow.
- To overcome limitations of high sample input and adapter dimer contamination in sRNA sequencing.
- To enable lower sample input and eliminate gel purification for automated sRNA library preparation.
Main Methods:
- Development of a novel library preparation approach utilizing modified adapters.
- The modified adapters are designed to suppress the formation of adapter dimers.
- Evaluation of the workflow for its ability to reduce sample input and eliminate gel purification.
Main Results:
- The novel workflow significantly suppresses adapter dimer formation.
- This suppression allows for reduced sample input requirements.
- The elimination of the gel purification step was achieved.
Conclusions:
- The modified adapter approach enhances the specificity of sRNA library preparation.
- This method addresses key limitations hindering broader sRNA sequencing adoption.
- The workflow is automatable, paving the way for high-throughput, sensitive sRNA analysis.
More Related Videos
Related Concept Videos
RNA-seq
12.3K
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...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
12.3K
Next-generation Sequencing
100.3K
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....
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
100.3K

