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Related Concept Videos

RNA-seq03:21

RNA-seq

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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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Alternative RNA splicing is the regulated splicing of exons and introns to produce different mature mRNAs from a single pre-mRNA. Unlike in constitutive splicing where a single gene produces a single type of mRNA, alternative splicing allows an organism to produce multiple proteins from a single gene and plays an important role in protein diversity.
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Related Experiment Video

Updated: Jul 23, 2025

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
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Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

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Mapping alternative polyadenylation in human cells using direct RNA sequencing technology.

Mareike Polenkowski1, Aldrige Bernardus Allister2, Sebastian Burbano de Lara3

  • 1Department of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology, Hannover Medical School, 30623 Hannover, Germany.

STAR Protocols
|July 11, 2023
PubMed
Summary

This study presents a protocol for genome-wide detection of alternative cleavage and polyadenylation (APA) using direct RNA sequencing. The method enables the identification of mRNA isoforms with varying 3' untranslated regions.

Keywords:
Gene ExpressionSequence Analysis

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Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Alternative cleavage and polyadenylation (APA) is a key biological process.
  • APA generates diverse messenger RNA (mRNA) isoforms.
  • These isoforms possess distinct 3' untranslated regions (3' UTRs).

Purpose of the Study:

  • To provide a detailed protocol for genome-wide APA detection.
  • To leverage direct RNA sequencing technology for APA analysis.
  • To outline the necessary computational analysis steps.

Main Methods:

  • RNA sample preparation
  • Library preparation for direct RNA sequencing
  • Nanopore sequencing
  • Computational data analysis

Main Results:

  • A comprehensive protocol for genome-wide APA detection is described.
  • The protocol integrates direct RNA sequencing with computational analysis.
  • It covers all steps from sample preparation to data interpretation.

Conclusions:

  • The presented protocol enables efficient genome-wide APA detection.
  • This method is valuable for studying mRNA isoform diversity.
  • The protocol requires expertise in molecular biology and bioinformatics.