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Related Concept Videos

RNA-seq03:21

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 microarray-based...

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Related Experiment Video

Updated: May 29, 2026

Preparation of Small RNA Libraries for Sequencing from Early Mouse Embryos
08:37

Preparation of Small RNA Libraries for Sequencing from Early Mouse Embryos

Published on: October 9, 2020

Sample preparation for small RNA massive parallel sequencing.

Willemijn M Gommans1, Eugene Berezikov

  • 1InteRNA Technologies BV, Utrecht, The Netherlands. gommans@interna-technologies.com

Methods in Molecular Biology (Clifton, N.J.)
|September 23, 2011
PubMed
Summary
This summary is machine-generated.

High-throughput sequencing enables detailed small RNA (sRNA) analysis, revealing novel microRNAs (miRNAs) and their roles in health and disease. This method facilitates understanding sRNA functions through library preparation for deep sequencing.

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Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs
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Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs

Published on: September 16, 2019

Related Experiment Videos

Last Updated: May 29, 2026

Preparation of Small RNA Libraries for Sequencing from Early Mouse Embryos
08:37

Preparation of Small RNA Libraries for Sequencing from Early Mouse Embryos

Published on: October 9, 2020

Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs
08:49

Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs

Published on: September 16, 2019

Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • High-throughput sequencing provides comprehensive analysis of small RNA (sRNA) expression across various organisms and tissues.
  • Computational analysis of sequencing data aids in discovering novel microRNAs (miRNAs) and other sRNA species.
  • Understanding sRNA roles is crucial for insights into biological development and disease mechanisms.

Purpose of the Study:

  • To describe the generation of sRNA deep-sequencing libraries.
  • To detail a cloning method for preparing sRNA molecules for Illumina sequencing.
  • To facilitate the study of sRNA expression and function.

Main Methods:

  • Utilizing a cloning method for sRNA library preparation.
  • Annealing specific RNA sequences to the 5' and 3' ends of sRNA molecules.
  • Employing the Illumina massively parallel sequencing platform for deep sequencing.

Main Results:

  • Successful generation of sRNA deep-sequencing libraries.
  • Enabling comprehensive sRNA expression analysis.
  • Facilitating the discovery of novel sRNAs and understanding their functions.

Conclusions:

  • The described method effectively prepares sRNA libraries for high-throughput sequencing.
  • This approach enhances the discovery and functional analysis of sRNAs.
  • It contributes to a deeper understanding of sRNA involvement in biological processes and diseases.