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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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High-throughput detection of RNA modifications at single base resolution.

Keren Ron1, Joshua Kahn1, Nofar Malka-Tunitsky1

  • 1The Shmunis School of Biomedicine and Cancer Research, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Israel.

FEBS Letters
|November 15, 2024
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Summary

This review covers advanced high-throughput sequencing methods for detecting over 170 RNA modifications. These techniques enable single-base resolution analysis of RNA modifications in various RNA types.

Keywords:
RNA modificationsepitranscriptomemass‐spectrometrynanoporenext‐generation sequencing

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Area of Science:

  • Molecular Biology
  • Genetics
  • Biochemistry

Background:

  • Over 170 chemical modifications exist for RNA, impacting its structure and function.
  • RNA modifications play crucial roles in regulating gene expression and cellular processes across diverse species.
  • High-throughput methods are essential for advancing the study of RNA modifications.

Purpose of the Study:

  • To review recent advancements in next-generation sequencing (NGS) based approaches for detecting RNA modifications.
  • To cover methods for identifying 14 distinct RNA modifications in ribosomal RNA (rRNA), transfer RNA (tRNA), and messenger RNA (mRNA).
  • To outline the molecular and computational principles of current RNA modification detection methods.

Main Methods:

  • Next-generation sequencing (NGS) based approaches.
  • High-throughput methods for single-base resolution detection.
  • Analysis of modifications in rRNA, tRNA, and mRNA.

Main Results:

  • Recent progress in NGS-based detection of 14 distinct RNA modifications is reviewed.
  • The study highlights advancements enabling single-base resolution of RNA modifications.
  • Molecular and computational principles of available methods are outlined.

Conclusions:

  • Next-generation sequencing has significantly accelerated the study of RNA modifications.
  • Current methods allow for the detection of numerous RNA modifications across different RNA types.
  • Understanding these methods is key to exploring the functional roles of RNA modifications.