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Genome-wide Quantification of Translation in Budding Yeast by Ribosome Profiling
Published on: December 21, 2017
Genome-wide translational profiling by ribosome footprinting
1Department of Cellular and Molecular Pharmacology, Howard Hughes Medical Institute, University of California, San Francisco, CA, USA.
Methods in Enzymology
|October 16, 2010
Summary
We developed ribosome profiling to quantitatively measure translation in yeast. This method precisely maps ribosome positions, revealing new insights into gene expression and translational control.
Area of Science:
- Molecular Biology
- Genetics
- Biochemistry
Background:
- Accurate measurement of gene expression at the translational level is crucial for understanding cellular processes.
- Existing methods lack the resolution to precisely map ribosome positions on mRNA.
- Quantitative analysis of translation provides insights into translational regulation.
Purpose of the Study:
- To present a detailed protocol for ribosome profiling, a novel technique for comprehensive and quantitative measurement of translation.
- To enable precise determination of ribosome positions on mRNA templates in yeast.
- To facilitate reproducible measurements of translational control and gene expression.
Main Methods:
- Ribosome profiling involves determining ribosome positions from their nuclease footprint on mRNA.
- Footprints are converted into a DNA library for deep sequencing using Illumina Genome Analyzer.
- Optimization of nuclease digestion conditions yields uniform ~28 nucleotide mRNA fragments.
Main Results:
- Ribosome profiling enables highly reproducible measurements of translational control.
- The technique revealed the presence of ribosomes on upstream open reading frames.
- Higher ribosome density was observed near the beginning of protein-coding genes.
Conclusions:
- Ribosome profiling is a powerful tool for quantitative analysis of translation.
- This method provides unprecedented resolution for studying ribosome dynamics and translational regulation.
- The protocol facilitates deep sequencing data analysis for precise gene expression quantification.
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