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Related Concept Videos

RNA-seq03:21

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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...

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Related Experiment Video

Updated: Jun 4, 2026

2D-HELS MS Seq: A General LC-MS-Based Method for Direct and de novo Sequencing of RNA Mixtures with Different Nucleotide Modifications
05:41

2D-HELS MS Seq: A General LC-MS-Based Method for Direct and de novo Sequencing of RNA Mixtures with Different Nucleotide Modifications

Published on: July 10, 2020

Informatics for mass spectrometry-based RNA analysis.

Hiroshi Nakayama1, Nobuhiro Takahashi, Toshiaki Isobe

  • 1Biomolecular Characterization Team, RIKEN Advanced Science Institute, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan.

Mass Spectrometry Reviews
|February 18, 2011
PubMed
Summary
This summary is machine-generated.

Mass spectrometry (MS) is a powerful tool for RNA analysis, enabling sensitive sequencing and quantification. Recent software advancements make MS ideal for characterizing RNAs, especially within ribonucleoprotein complexes.

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Last Updated: Jun 4, 2026

2D-HELS MS Seq: A General LC-MS-Based Method for Direct and de novo Sequencing of RNA Mixtures with Different Nucleotide Modifications
05:41

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Published on: July 10, 2020

Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions
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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Analytical Chemistry

Background:

  • Mass spectrometry (MS) offers sensitive, direct characterization of biological macromolecules.
  • MS is traditionally less utilized for RNA research compared to protein research.
  • Advancements in MS instrumentation and software enhance its utility for RNA analysis.

Purpose of the Study:

  • To review software and databases for mass spectrometry-based RNA studies.
  • To highlight the capabilities of MS in sequencing, quantifying, and chemically analyzing RNAs.
  • To emphasize MS suitability for characterizing RNAs in ribonucleoprotein complexes.

Main Methods:

  • Review of available software for raw mass spectra processing.
  • Discussion of mass mapping techniques for RNA identification and characterization.
  • Exploration of de novo sequencing and tandem MS-based database searching for RNA analysis.

Main Results:

  • Current software enables comprehensive MS-based RNA analysis.
  • Mass spectrometry can effectively sequence, quantify, and chemically analyze RNA molecules.
  • The integration of advanced software significantly boosts MS capabilities for RNA research.

Conclusions:

  • Mass spectrometry is a powerful and increasingly accessible tool for RNA characterization.
  • Software developments are crucial for unlocking the full potential of MS in RNA studies.
  • MS is particularly valuable for analyzing RNA within complex biological அமைப்புகள் (systems).