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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.
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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. 
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Related Experiment Video

Updated: Jun 24, 2025

Polysome Fractionation and Analysis of Mammalian Translatomes on a Genome-wide Scale
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Polysome Fractionation and Analysis of Mammalian Translatomes on a Genome-wide Scale

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Quantitative mapping of the mammalian epitranscriptome.

Bo He1, Yuting Chen2, Chengqi Yi3

  • 1Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies, Chengdu, China; Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.

Current Opinion in Genetics & Development
|June 1, 2024
PubMed
Summary
This summary is machine-generated.

This review explores advanced methods for detecting RNA modifications, crucial for understanding their roles. It highlights techniques providing base resolution and quantitative data for epitranscriptomic research.

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Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
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Area of Science:

  • Molecular Biology
  • Genomics
  • Biochemistry

Background:

  • The epitranscriptome involves dynamic RNA modifications impacting RNA function.
  • Over 170 RNA chemical modifications are known, necessitating advanced detection tools.
  • Base resolution and quantitative data are vital for studying RNA modification regulation and function.

Purpose of the Study:

  • To review methodologies for detecting RNA modifications with base resolution and quantitative accuracy.
  • To discuss current challenges and future prospects in quantitative RNA modification detection.

Main Methods:

  • Overview of existing quantitative RNA modification detection methods.
  • Focus on next-generation sequencing and nanopore direct RNA sequencing.
  • Analysis of techniques providing base resolution and stoichiometric information.

Main Results:

  • Identified two main categories of quantitative RNA modification detection: next-generation sequencing and nanopore direct RNA sequencing.
  • Emphasized the importance of base resolution and quantitative data for understanding RNA modifications.
  • Highlighted challenges and future directions in the field.

Conclusions:

  • Innovative detection methods are essential for advancing epitranscriptomics.
  • Quantitative and base-resolution techniques are key to unlocking RNA modification functions.
  • Continued development is needed to overcome current challenges in RNA modification detection.