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Guidelines for Setting Up a mRNA Sequencing Experiment and Best Practices for Bioinformatic Data Analysis
Teresa Rosa Galise1, Salvatore Esposito2, Nunzio D'Agostino3
1Department of Agricultural Sciences, University of Naples Federico II, Portici, Italy.
Methods in Molecular Biology (Clifton, N.J.)
|December 2, 2020
Summary
RNA-sequencing (RNA-seq) is a powerful tool for analyzing transcriptomes, offering insights into gene expression. This guide details experimental design, data processing for Illumina technology, and best practices for RNA-seq studies.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- RNA-sequencing (RNA-seq) is a revolutionary method for transcriptome analysis.
- It leverages high-throughput next-generation sequencing to explore transcriptome complexity and dynamics.
Purpose of the Study:
- To provide a comprehensive overview of RNA-seq experimental design and data processing.
- To offer guidelines and best practices for conducting mRNA-seq studies using Illumina technology.
Main Methods:
- Dissection of the general workflow for designing and performing mRNA-seq experiments.
- Detailed processing of mRNA-seq data generated by Illumina sequencing platforms.
Main Results:
- Guidelines for proper completion of mRNA-seq studies.
- Recommendations for best practices based on current literature and technological advancements.
Conclusions:
- Navigating the numerous choices in bioinformatic data analysis can be challenging for scientists.
- Emerging frontiers include single-cell RNA-seq and long-read isoform sequencing.
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