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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...
Riboswitches01:56

Riboswitches

Riboswitches are non-coding mRNA domains that regulate the transcription and translation of downstream genes without the help of proteins. Riboswitches bind directly to a metabolite and can form unique stem-loop or hairpin structures in response to the amount of the metabolite present. They have two distinct regions – a metabolite-binding aptamer and an expression platform.
The aptamer has high specificity for a particular metabolite which allows riboswitches to specifically regulate...
Ribosomal RNA Synthesis02:53

Ribosomal RNA Synthesis

Ribosome synthesis is a highly complex and coordinated process involving more than 200 assembly factors. The synthesis and processing of ribosomal components occurs not only in the nucleolus but also in the nucleoplasm and the cytoplasm of eukaryotic cells.
Ribosome biogenesis begins with the synthesis of 5S and 45S pre-rRNAs by distinct RNA polymerases. The primary transcripts are extensively processed and modified before they are bound and folded by ribosomal proteins and assembly factors,...
Ribosomal RNA Synthesis02:53

Ribosomal RNA Synthesis

Ribosome synthesis is a highly complex and coordinated process involving more than 200 assembly factors. The synthesis and processing of ribosomal components occurs not only in the nucleolus but also in the nucleoplasm and the cytoplasm of eukaryotic cells.
Ribosome biogenesis begins with the synthesis of 5S and 45S pre-rRNAs by distinct RNA polymerases. The primary transcripts are extensively processed and modified before they are bound and folded by ribosomal proteins and assembly factors,...
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...
Ribozymes02:47

Ribozymes

The term ribozyme is used for RNA that can act as an enzyme. Ribozymes are mainly found in selected viruses, bacteria, plant organelles, and lower eukaryotes. Ribozymes were first discovered in 1982 when Tom Cech’s laboratory observed Group I introns acting as enzymes. This was shortly followed by the discovery of another ribozyme, Ribonulcease P, by Sid Altman’s laboratory. Both Cech and Altman received the Nobel Prize in chemistry in 1989 for their work on ribozymes.
Ribozymes can be...

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Related Experiment Video

Updated: Jun 23, 2026

Genome-wide Quantification of Translation in Budding Yeast by Ribosome Profiling
12:57

Genome-wide Quantification of Translation in Budding Yeast by Ribosome Profiling

Published on: December 21, 2017

Ribosomal footprints on a transcriptome landscape.

David R Morris1

  • 1Department of Biochemistry, University of Washington, Seattle, WA 98195-7350, USA. dmorris@u.washington.edu

Genome Biology
|May 15, 2009
PubMed
Summary
This summary is machine-generated.

Next-generation sequencing enables detailed analysis of protein production rates and regulation across the entire transcriptome. This technology offers powerful insights into gene expression at the translational level.

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De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data
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De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data

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Global Identification of Co-Translational Interaction Networks by Selective Ribosome Profiling
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Global Identification of Co-Translational Interaction Networks by Selective Ribosome Profiling

Published on: October 7, 2021

Related Experiment Videos

Last Updated: Jun 23, 2026

Genome-wide Quantification of Translation in Budding Yeast by Ribosome Profiling
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Genome-wide Quantification of Translation in Budding Yeast by Ribosome Profiling

Published on: December 21, 2017

De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data
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De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data

Published on: February 18, 2022

Global Identification of Co-Translational Interaction Networks by Selective Ribosome Profiling
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Global Identification of Co-Translational Interaction Networks by Selective Ribosome Profiling

Published on: October 7, 2021

Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Gene expression is regulated at multiple levels, including translation.
  • Understanding translational control is crucial for deciphering cellular function.
  • Traditional methods for assessing translation are often limited in scope or throughput.

Purpose of the Study:

  • To introduce and validate a next-generation sequencing approach for transcriptome-wide translation analysis.
  • To provide a comprehensive method for measuring translation rates and regulatory mechanisms.

Main Methods:

  • Utilizing massively parallel sequencing technology.
  • Developing novel bioinformatic pipelines for analyzing sequencing data.
  • Quantifying ribosome occupancy and nascent polypeptide synthesis across all transcripts.

Main Results:

  • Demonstrated the feasibility of assessing global translation rates with high resolution.
  • Identified key regulatory elements influencing translational efficiency.
  • Provided a quantitative framework for understanding transcriptome-wide translational control.

Conclusions:

  • Next-generation sequencing offers an unprecedented view of translational regulation.
  • This technology significantly advances the study of gene expression dynamics.
  • Future research can leverage this method to explore translation in various biological contexts.