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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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Nano3P-seq: charting the coding and noncoding transcriptome at single-molecule resolution.

Oguzhan Begik1, Leszek P Pryszcz1, Adnan Muhammad Niazi2

  • 1Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.

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|July 8, 2025
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Summary
This summary is machine-generated.

This study introduces Nanopore 3' end-capture sequencing (Nano3P-seq) for analyzing RNA poly(A) tail dynamics. The method accurately quantifies RNA abundance, tail length, and composition for diverse RNA types.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • RNA polyadenylation is vital for RNA processing, affecting stability, translation, and decay.
  • Poly(A) tail length is a key determinant of mRNA function and regulation.
  • Current methods for analyzing poly(A) tails can be limited in scope or resolution.

Purpose of the Study:

  • To present a detailed protocol for Nanopore 3' end-capture sequencing (Nano3P-seq).
  • To introduce PolyTailor software for analyzing poly(A) tail length and composition.
  • To enable single-molecule resolution analysis of RNA tail dynamics across various RNA types.

Main Methods:

  • Development and validation of the Nano3P-seq protocol using Nanopore sequencing.
  • Utilizing a template switching-based approach for cDNA sequencing from the 3' end.
  • Employing the PolyTailor software for data analysis and prediction of tail characteristics.

Main Results:

  • Nano3P-seq accurately estimates transcript abundances, poly(A) tail lengths, and composition.
  • The method successfully analyzes coding and noncoding RNAs, including mRNAs, snoRNAs, and rRNAs.
  • The protocol is compatible with R10.4 flow cells and can be completed within a day.

Conclusions:

  • Nano3P-seq offers a comprehensive and reproducible method for studying RNA tail dynamics.
  • The protocol is adaptable to various RNA sample preparation methods.
  • This technique enhances the study of transcriptome-wide tail heterogeneity.