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Related Concept Videos

Ribosome Profiling02:24

Ribosome Profiling

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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
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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.
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Updated: Oct 17, 2025

Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture
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Interrogating the transcriptome with metabolically incorporated ribonucleosides.

Ralph E Kleiner1

  • 1Department of Chemistry, Princeton University, Princeton, NJ, 08544, USA. rkleiner@princeton.edu.

Molecular Omics
|October 12, 2021
PubMed
Summary
This summary is machine-generated.

Researchers explore metabolic labeling of RNA using modified ribonucleosides. This technique integrates with sequencing and microscopy to study RNA behavior in cells, addressing gaps in understanding transcriptomic regulation.

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Area of Science:

  • Molecular Biology
  • Biochemistry
  • Genomics

Background:

  • RNA plays a critical role in cellular functions.
  • Significant knowledge gaps exist regarding transcriptomic regulation and RNA biochemistry.
  • Understanding RNA behavior in its native cellular environment is crucial.

Purpose of the Study:

  • To review current methods for metabolic labeling of RNA.
  • To discuss the integration of RNA labeling with advanced analytical techniques.
  • To highlight the utility of these approaches for studying RNA in vivo.

Main Methods:

  • Metabolic incorporation of modified ribonucleosides into cellular RNA.
  • Application of Next-Generation Sequencing (NGS) for transcriptomic analysis.
  • Utilizing mass spectrometry-based proteomics and fluorescence microscopy.

Main Results:

  • Metabolic labeling provides a powerful strategy for molecular analysis of cellular RNA.
  • Integration with NGS enables deep interrogation of RNA populations.
  • Combined approaches allow visualization and quantification of RNA dynamics.

Conclusions:

  • Metabolic labeling with modified ribonucleosides is key to advancing RNA research.
  • These techniques facilitate the study of RNA in its native cellular context.
  • Bridging knowledge gaps in RNA regulation and function through innovative molecular tools.