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Related Experiment Video

Updated: Oct 15, 2025

Measuring mRNA Levels Over Time During the Yeast S. cerevisiae Hypoxic Response

Measuring mRNA Levels Over Time During the Yeast S. cerevisiae Hypoxic Response

Published on: August 10, 2017

Protocol for RNA-seq Expression Analysis in Yeast.

¹Institute of Structural Biology, Helmholtz Zentrum München, Munich, Germany.

|October 25, 2021

Summary

This summary is machine-generated.

This study details the RNA sequencing (RNA-seq) workflow for gene expression analysis in yeast. It simplifies the complex data processing steps, making RNA-seq more accessible for researchers.

Keywords:

Next-generation sequencing Relative expression levels Sequence analysis Systems biology Whole genome Yeast mRNA

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Related Experiment Videos

Last Updated: Oct 15, 2025

Measuring mRNA Levels Over Time During the Yeast S. cerevisiae Hypoxic Response

Measuring mRNA Levels Over Time During the Yeast S. cerevisiae Hypoxic Response

Published on: August 10, 2017

Genome-wide Quantification of Translation in Budding Yeast by Ribosome Profiling

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Published on: December 21, 2017

Saccharomyces cerevisiae Metabolic Labeling with 4-thiouracil and the Quantification of Newly Synthesized mRNA As a Proxy for RNA Polymerase II Activity

Saccharomyces cerevisiae Metabolic Labeling with 4-thiouracil and the Quantification of Newly Synthesized mRNA As a Proxy for RNA Polymerase II Activity

Published on: October 22, 2018

Area of Science:

Molecular Biology
Genomics
Bioinformatics

Background:

Genome-wide sequencing of RNA (RNA-seq) offers valuable insights into cellular and disease mechanisms.
RNA-seq sample preparation and sequencing are efficient, yielding numerous gene expression profiles rapidly.
However, the subsequent data processing, curation, and analysis present significant challenges for non-experts.

Purpose of the Study:

To describe a streamlined workflow for RNA-seq expression analysis in yeast.
To demystify the data processing, curation, and analysis stages of RNA-seq experiments.
To provide a foundational protocol adaptable for various RNA-seq applications.

Main Methods:

Detailed protocol for sample preparation for RNA-seq.
Description of the sequencing process for gene expression profiling.
Step-by-step guide to RNA-seq data processing and analysis.

Main Results:

A comprehensive workflow for yeast RNA-seq expression analysis is presented.
The protocol simplifies complex bioinformatics steps, enhancing accessibility.
The described workflow serves as a adaptable foundation for diverse RNA-seq studies.

Conclusions:

This protocol facilitates the application of RNA-seq for gene expression analysis, particularly for non-experts.
The described workflow enhances the understanding and implementation of RNA-seq data analysis.
The study provides a valuable resource for researchers utilizing RNA-seq in yeast and beyond.