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Updated: Mar 13, 2026
06:58
Global Identification of Co-Translational Interaction Networks by Selective Ribosome Profiling
Published on: October 7, 2021
3.1K
[An intimate look at the viral replication cycle through ribosome profiling]
Juliana Blin1, Emiliano P Ricci2
1CIRI, international center for infectiology research, université de Lyon, 46, allée d'Italie, Lyon, France.
Medecine Sciences : M/S
|October 21, 2016
Summary
Ribosome profiling, a Next Generation Sequencing (NGS) method, offers high-resolution insights into viral translation and its impact on host gene expression during infection. This technique aids in understanding viral replication and cellular responses, despite inherent limitations.
Area of Science:
- Molecular Biology
- Virology
- Genomics
Background:
- Next Generation Sequencing (NGS) has transformed biomedical research.
- Ribosome profiling (RP) is a key NGS technique for transcriptome-wide mRNA translation analysis.
- Viral infections critically rely on translation for replication, making it a target for study.
Purpose of the Study:
- To explore the utility of ribosome profiling in understanding viral translation.
- To investigate the impact of viral infection on host gene expression at the translational level.
- To discuss the limitations and biases associated with ribosome profiling in viral studies.
Main Methods:
- Ribosome profiling (RP) to monitor ribosome occupancy on viral and host RNAs.
- High-resolution analysis of translation during viral infection time courses.
- Evaluation of translational control in virus-infected cells.
Main Results:
- RP provides detailed insights into viral and host mRNA translation dynamics.
- The technique can reveal how viruses manipulate host translation for their benefit.
- Potential for discovering new mechanisms of translational regulation during infection.
Conclusions:
- Ribosome profiling is a valuable tool for studying viral translation and its effects on host gene expression.
- Understanding these processes can inform antiviral strategies.
- Careful consideration of RP limitations is crucial for accurate interpretation of results.
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