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09:16
Eukaryotic Polyribosome Profile Analysis
Published on: June 15, 2010
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Analysis of the translatome in solid tumors using polyribosome profiling/RNA-Seq
Pauline Adjibade1, Valérie Grenier St-Sauveur1, Arnaud Droit2
1Centre de Recherche en Cancérologie. Centre de Recherche du CHU de Québec. Département de Biologie Moléculaire, Biochimie Médicale et Pathologie, Faculté de Médecine, Université Laval, Québec, PQ, Canada.
Journal of Biological Methods
|August 28, 2019
Summary
Altered mRNA translation drives cancer progression and resistance. This study optimized polyribosome RNA-sequencing for analyzing translation efficiency in human tumors, identifying key cancer biomarkers and therapeutic targets.
Area of Science:
- Molecular Biology
- Oncology
- Genomics
Background:
- Gene expression regulation is crucial for cell homeostasis.
- Aberrant mRNA translation contributes to cancer development and therapeutic resistance.
- Identifying translation efficiency changes in tumors can reveal biomarkers and therapeutic targets.
Purpose of the Study:
- To present an optimized polyribosome RNA-sequencing protocol for quantitative analysis of mRNA translation in human tumor samples and murine xenografts.
- To enable the identification of key mRNAs preferentially translated in tumor tissue compared to benign tissue.
- To investigate translational changes occurring after treatment in solid tumors.
Main Methods:
- Development and application of an optimized polyribosome RNA-sequencing protocol.
- Quantitative analysis of mRNA translation efficiency.
- Bioinformatics analysis of sequencing data from human tumor samples and murine xenografts.
Main Results:
- The optimized protocol allows for quantitative analysis of mRNA translation in human tumors.
- Identification of key mRNAs preferentially translated in tumor versus benign tissues.
- Detection of translational changes in solid tumors, potentially linked to treatment response.
Conclusions:
- This innovative approach facilitates the understanding of mRNA translation in human tumors.
- The findings hold potential for identifying novel cancer biomarkers and therapeutic targets.
- The method is applicable to various solid tumors, advancing cancer research and treatment strategies.
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