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Related Concept Videos

RNA-seq03:21

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Related Experiment Video

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High Throughput Yeast Strain Phenotyping with Droplet-Based RNA Sequencing
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High-throughput and quantitative genome-wide messenger RNA sequencing for molecular phenotyping.

John E Collins1, Neha Wali1, Ian M Sealy1

  • 1Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK.

BMC Genomics
|August 5, 2015
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Summary

This new messenger RNA (mRNA) sequencing method profiles many samples efficiently. Increasing biological replicates enhances the identification of differential transcript abundance for robust gene expression analysis.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • A novel genome-wide messenger RNA (mRNA) sequencing technique is introduced.
  • The method converts limited RNA quantities from multiple samples into measurable molecular phenotypes.
  • It covers the entire workflow from sample preparation to sequence analysis.

Purpose of the Study:

  • To present a comprehensive mRNA sequencing technique for molecular profiling.
  • To enable baseline profiling and perturbation measurements.
  • To facilitate the identification of differential transcript abundance.

Main Methods:

  • Utilizes multiplex sequencing of transcript 3' ends.
  • Applicable to polyadenylated RNA from any organism with an annotated reference genome.
  • Requires access to standard Illumina sequencing technology.

Main Results:

  • Differential transcript abundance can be identified independently of gene annotation.
  • Increasing the number of biological replicates, while keeping sequencing depth constant, leads to the identification of more differentially abundant transcripts.
  • The technique is robust for analyzing gene expression patterns.

Conclusions:

  • The presented mRNA sequencing method is versatile and widely applicable.
  • It can be implemented in any laboratory equipped with Illumina sequencing.
  • The technique supports accurate molecular phenotyping and gene expression analysis across diverse organisms.