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| Status |
Public on Aug 07, 2018 |
| Title |
A Chemical Kinetic Basis for Measuring Translation Initiation and Elongation Rates from Ribosome Profiling data |
| Organism |
Saccharomyces cerevisiae |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
Analysis methods based on simulations and optimization have been previously developed to estimate relative translation rates from next-generation sequencing data. Translation involves molecules and chemical reactions; hence, bioinformatics methods consistent with the laws of chemistry and physics are more likely to produce accurate results. Here, we derive simple equations based on chemical kinetic principles to measure the translation-initiation rate, transcriptome-wide elongation rate, and individual codon translation rates from ribosome profiling experiments. Our methods reproduce the known rates from ribosome profiles generated from detailed simulations of translation. Applying our methods to data from S. cerevisiae and mouse embryonic stem cells we find that the extracted rates reproduce previously reported correlations with various molecular quantities. A codon can exhibit up to 26-fold variability in its translation rate depending upon its context with in a transcript. This broad distribution means that the average translation rate of a codon is not representative of the rate at which most instances of that codon are translated. We also find that mouse embryonic stem cells have a global translation speed that is almost two-fold faster than previously reported. This large variability in translation rates suggests that translational regulation might be used by cells to a greater degree than previously thought.
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| Overall design |
RNA-Seq data corresponding to Ribosome profiling data (GSE75322) of two biological replicates of S288C yeast cells
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| Contributor(s) |
Ahmed N, Friedrich UA, Sharma AK, Sormanni P, Kramer G, O'Brien EP |
| Citation(s) |
31120880 |
| |
| Submission date |
Jul 02, 2018 |
| Last update date |
Jul 14, 2021 |
| Contact name |
Nabeel Ahmed |
| E-mail(s) |
[email protected]
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| Organization name |
Pennsylvania State University
|
| Department |
The Huck Institutes of the Life Sciences
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| Lab |
O'Brien Lab
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| Street address |
407 Chemistry Building
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| City |
University Park |
| State/province |
PENNSYLVANIA |
| ZIP/Postal code |
16802 |
| Country |
USA |
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| Platforms (1) |
| GPL13821 |
Illumina HiSeq 2000 (Saccharomyces cerevisiae) |
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| Samples (2) |
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| Relations |
| BioProject |
PRJNA478925 |
| SRA |
SRP151781 |
