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Related Concept Videos

RNA-seq03:21

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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Preparation of Small RNA Libraries for Sequencing from Early Mouse Embryos
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Systematic comparative analysis of strand-specific RNA-seq library preparation methods for low input samples.

Swati Naphade1, Rajat Bhatnagar2,3, Victor Hanson-Smith4

  • 1Verge Genomics, South San Francisco, CA, USA.

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Summary

Swift RNA kits offer a faster, cost-effective alternative for RNA sequencing library preparation, maintaining accuracy with low RNA input for high-throughput screening applications.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • RNA sequencing (RNA-seq) library preparation remains a costly bottleneck for high-throughput screening.
  • Low RNA input and the need for automation-compatible, strand-specific kits present significant challenges.

Purpose of the Study:

  • To evaluate the performance of Swift RNA and Swift Rapid RNA kits for RNA library preparation.
  • To compare these kits against the standard Illumina TruSeq stranded mRNA kit for cost-effectiveness, workflow time, and accuracy at low RNA input quantities.

Main Methods:

  • Systematic testing of Swift RNA and Swift Rapid RNA kits alongside Illumina TruSeq stranded mRNA.
  • Benchmarking gene expression using Universal Human Reference RNA (UHRR) with input quantities from 10 to 500 ng.
  • Analysis of normalized read counts, workflow times, and differentially expressed genes/pathways.

Main Results:

  • High agreement in normalized read counts across all tested kits.
  • Swift RNA kits demonstrated shorter workflow times due to Adaptase technology.
  • The Swift RNA kit showed the fewest differentially expressed genes and pathways influenced by input mRNA amount.

Conclusions:

  • Swift RNA kits provide a viable, efficient, and accurate alternative for RNA library preparation, especially for low-input and high-throughput applications.
  • These kits reduce workflow time and minimize gene expression alterations related to input RNA quantity, offering a cost-effective solution.