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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.
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Updated: Jul 13, 2025

Author Spotlight: Exploring the Frontier of mRNA Research with Poly A Tail Analysis Techniques

Author Spotlight: Exploring the Frontier of mRNA Research with Poly A Tail Analysis Techniques

Published on: January 12, 2024

Differential Poly(A) Tail Length Analysis Using Nanopore Sequencing.

Showkat A Dar¹, Sulochan Malla¹, Cedric Belair¹

¹Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.

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

|October 12, 2023

Summary

This summary is machine-generated.

We present a new method using nanopore sequencing to measure changes in poly(A) tail length. This technique helps understand gene expression regulation by analyzing messenger RNA stability and translation.

Keywords:

Deadenylation Differential analysis NanopLen Nanopore direct RNA sequencing Poly(A) tail

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Last Updated: Jul 13, 2025

Author Spotlight: Exploring the Frontier of mRNA Research with Poly A Tail Analysis Techniques

Author Spotlight: Exploring the Frontier of mRNA Research with Poly A Tail Analysis Techniques

Published on: January 12, 2024

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Published on: March 15, 2019

Nanopore DNA Sequencing for Metagenomic Soil Analysis

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Published on: December 14, 2017

Area of Science:

Molecular Biology
Genomics
Bioinformatics

Background:

The poly(A) tail, a sequence of adenosine nucleotides at the 3' end of RNA, is crucial for post-transcriptional gene regulation.
Poly(A) tail length dynamics influence messenger RNA stability, translation efficiency, and decay rates.
Accurate measurement of poly(A) tail length is vital for understanding gene expression in various cellular environments.

Purpose of the Study:

To introduce a novel method for analyzing poly(A) tail length variations.
To enable precise quantification of poly(A) tail length changes across different experimental conditions.
To facilitate a deeper understanding of the regulatory roles of poly(A) tails in gene expression.

Main Methods:

Utilized nanopore sequencing technology for direct RNA analysis.
Applied linear mixed models for statistical analysis of poly(A) tail length data.
Developed a workflow to measure and compare poly(A) tail lengths across conditions.

Main Results:

Successfully demonstrated a method for accurate poly(A) tail length measurement using nanopore sequencing.
Showcased the ability to detect and analyze differences in poly(A) tail length between conditions.
Provided a robust approach for investigating poly(A) tail dynamics.

Conclusions:

The developed method offers a powerful tool for studying poly(A) tail regulation.
Nanopore sequencing combined with linear mixed models provides a sensitive approach to analyze gene expression dynamics.
This technique can advance research into the functional significance of poly(A) tail length variations.