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RNA-seq

RNA-seq

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 microarray-based...

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Related Experiment Video

Updated: Jul 1, 2026

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

Decode-seq: a practical approach to improve differential gene expression analysis.

Yingshu Li^1,2,3, Hang Yang^1,2,3, Hujun Zhang^1,2,3

¹State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.

|March 24, 2020

Summary

This summary is machine-generated.

Researchers developed a cost-effective RNA-seq method with molecular barcoding for more accurate gene expression analysis. This technique enhances the study of gene expression, revealing new insights into sexual dimorphism and germ cell development.

Keywords:

Differential expression Germ cell Medaka RNA-seq Replication

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Last Updated: Jul 1, 2026

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

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Published on: September 18, 2021

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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

Area of Science:

Genomics
Molecular Biology
Developmental Biology

Background:

Differential gene expression analysis is crucial for biological research.
Many studies suffer from insufficient biological replicates, limiting statistical power.
Current methods struggle to profile a large number of samples efficiently.

Purpose of the Study:

To introduce an accessible and effective RNA-sequencing (RNA-seq) approach.
To enable simultaneous profiling of a high number of biological replicates.
To improve the accuracy and power of differential gene expression analysis.

Main Methods:

Utilized molecular barcoding for sample multiplexing in RNA-seq.
Applied the method to the medaka (Oryzias latipes) model organism.
Performed differential gene expression analysis on a large number of replicates.

Main Results:

The molecular barcoding approach significantly enhances differential gene expression analysis.
Discovered novel genes exhibiting sexually dimorphic expression in medaka.
Identified genes essential for germ cell development in medaka.

Conclusions:

The described RNA-seq method with molecular barcoding is highly effective for large-scale replicate analysis.
This approach overcomes limitations of traditional methods with few replicates.
The findings advocate for abandoning the practice of using only three replicates in gene expression studies.