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Related Concept Videos

RNA-seq03:21

RNA-seq

11.3K
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...
11.3K

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Preparation of Small RNA Libraries for Sequencing from Early Mouse Embryos
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Preparation of Small RNA Libraries for Sequencing from Early Mouse Embryos

Published on: October 9, 2020

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High-throughput Minitaturized RNA-Seq Library Preparation.

Samuel Mildrum1, Austin Hendricks1, Alexei Stortchevoi1

  • 1Department of Biology, MIT BioMicro Center, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Journal of Biomolecular Techniques : JBT
|October 26, 2020
PubMed
Summary

We developed an automated, miniaturized RNA library preparation workflow. This method saves time and reagents while producing reliable Illumina-compatible libraries for genomic research.

Keywords:
Sequencing, automation, Illumina

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Next-generation sequencing (NGS) technologies have made RNA sequencing (RNA-Seq) a powerful tool in genomic research.
  • RNA-Seq enables the study of gene expression and genome structure.

Purpose of the Study:

  • To present an automated and miniaturized workflow for RNA library preparation.
  • To reduce reagent usage and processing time for RNA sequencing library preparation.

Main Methods:

  • Development of an automated and miniaturized workflow.
  • Generation of Illumina-compatible RNA libraries using reduced reagent volumes.
  • Comparison of reduced-volume libraries with full-scale libraries.

Main Results:

  • The workflow minimizes reagent usage and processing time per sample.
  • Reduced-volume libraries exhibit similar performance to full-scale libraries.
  • Comparable numbers of genes were detected, and reproducible sample clustering was observed.

Conclusions:

  • The automated, miniaturized RNA library preparation workflow is efficient and cost-effective.
  • This method provides a reliable alternative for generating Illumina-compatible libraries for RNA sequencing.
  • The workflow supports accessible genomic research through reduced resource requirements.