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Related Concept Videos

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...
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...
Transfer RNA Synthesis02:36

Transfer RNA Synthesis

One of the unique features of tRNA is the presence of modified bases. In some tRNAs, modified bases account for nearly 20% of the total bases in the molecule. Altogether, these unusual bases protect the tRNA from enzymatic degradation by RNases.
Each of these chemical modifications is carried by a specific enzyme, post-transcription. All of these enzymes have unique base and site-specificity. Methylation, the most common chemical modification, is carried by at least nine different enzymes, with...
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.

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Related Experiment Video

Updated: Jul 9, 2026

Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing (RIPiT-Seq)
09:26

Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing (RIPiT-Seq)

Published on: July 10, 2019

QutRNA2: robust tRNA modification discovery from Nanopore direct tRNA sequencing.

Michael Piechotta1, Wei Guo2,3, Isabel S Naarmann-de Vries1,4

  • 1Klaus Tschira Institute for Integrative Computational Cardiology, University of Heidelberg, Im Neuenheimer Feld 669, Heidelberg 69120, Baden-Württemberg, Germany.

NAR Genomics and Bioinformatics
|July 8, 2026
PubMed
Summary
This summary is machine-generated.

QutRNA2 is a new computational workflow that analyzes transfer RNA (tRNA) modifications using direct RNA sequencing. This scalable tool significantly speeds up tRNA analysis, enabling better understanding of protein synthesis.

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

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AQRNA-seq for Quantifying Small RNAs
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AQRNA-seq for Quantifying Small RNAs

Published on: February 2, 2024

Related Experiment Videos

Last Updated: Jul 9, 2026

Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing (RIPiT-Seq)
09:26

Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing (RIPiT-Seq)

Published on: July 10, 2019

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

AQRNA-seq for Quantifying Small RNAs
05:12

AQRNA-seq for Quantifying Small RNAs

Published on: February 2, 2024

Area of Science:

  • Molecular Biology
  • Bioinformatics

Background:

  • Transfer RNAs (tRNAs) are crucial for protein synthesis and undergo extensive post-transcriptional modifications.
  • Accurate analysis of tRNA modifications is essential for understanding their structure and function.
  • Direct RNA sequencing offers potential for positional modification analysis but faces challenges with short, modified tRNAs.

Purpose of the Study:

  • To develop a scalable and efficient computational workflow for analyzing tRNA modifications from direct RNA sequencing data.
  • To address the limitations of existing tools in handling short, redundant, and densely modified tRNAs.

Main Methods:

  • Development of QutRNA2, a workflow incorporating GPU-accelerated local alignment, statistical filtering, and error profile comparison.
  • Application of QutRNA2 to analyze nuclear- and mitochondrial-encoded tRNAs in human and mouse samples.
  • Utilizing direct RNA sequencing data generated by Oxford Nanopore Technologies.

Main Results:

  • QutRNA2 achieves up to 25-fold speed improvement compared to CPU-based methods.
  • The workflow successfully identifies enzyme-dependent tRNA modifications.
  • Demonstrated scalability and effectiveness on high-volume human and mouse datasets.

Conclusions:

  • QutRNA2 provides a comprehensive, scalable, and efficient framework for tRNA modification analysis.
  • This open-source solution addresses a critical gap in current bioinformatics tools for RNA analysis.
  • Facilitates deeper insights into tRNA biology and its role in protein synthesis.