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Related Experiment Video

Updated: Mar 30, 2026

3' End Sequencing Library Preparation with A-seq2

3' End Sequencing Library Preparation with A-seq2

Published on: October 10, 2017

RNA-Seq Experiment and Data Analysis.

Hanquan Liang¹, Erliang Zeng^2,3

¹McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.

Methods in Molecular Biology (Clifton, N.J.)

|November 21, 2015

Summary

This summary is machine-generated.

This study details a protocol for messenger RNA sequencing (RNA-Seq) library preparation and computational analysis. It enables differential gene expression analysis in response to 17β-estradiol treatments.

Keywords:

Bioconductor Data analysis Differentially expressed genes Next-generation sequencing RNA-Seq Statistical analysis

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Area of Science:

Molecular Biology
Genomics
Bioinformatics

Background:

High-throughput messenger RNA sequencing (RNA-Seq) provides millions of reads for isoform abundance estimation and novel transcript discovery.
RNA-Seq is a powerful tool for analyzing gene expression patterns.

Purpose of the Study:

To describe a comprehensive protocol for RNA-Seq library construction for Illumina NGS platforms.
To outline a computational pipeline for RNA-Seq data analysis.
To enable differential gene expression analysis in response to 17β-estradiol.

Main Methods:

RNA library preparation for Illumina sequencing.
Computational analysis pipeline for RNA-Seq data.
Application to in vivo and in vitro systems for gene expression studies.

Main Results:

A detailed protocol for RNA-Seq library construction is provided.
A computational pipeline for analyzing RNA-Seq data is described.
The methods are applicable to differential gene expression studies.

Conclusions:

The described RNA-Seq protocol and analysis pipeline facilitate robust gene expression studies.
This methodology is valuable for investigating the effects of 17β-estradiol on gene expression.
The protocol supports both in vivo and in vitro experimental systems.