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Time-resolved proteomics vs. ribosome profiling reveals translation dynamics under stress

Tzu-Yu Liu, Hector H. Huang, Diamond Wheeler, James A. Wells, Yun S. Song, Arun P. Wiita
doi: https://doi.org/10.1101/087486
Tzu-Yu Liu
1Computer Science Division, University of California, Berkeley, CA, 94720
2Dept. of Mathematics and Dept. of Biology, University of Pennsylvania, Philadelphia, PA, 19104
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Hector H. Huang
3Dept. of Laboratory Medicine, University of California, San Francisco, CA, 94107
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Diamond Wheeler
3Dept. of Laboratory Medicine, University of California, San Francisco, CA, 94107
4Dept. of Pharmaceutical Chemistry, University of California, San Francisco, CA, 94107
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James A. Wells
4Dept. of Pharmaceutical Chemistry, University of California, San Francisco, CA, 94107
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Yun S. Song
1Computer Science Division, University of California, Berkeley, CA, 94720
2Dept. of Mathematics and Dept. of Biology, University of Pennsylvania, Philadelphia, PA, 19104
5Dept. of Statistics, University of California, Berkeley, CA, 94720
6Dept. of Integrative Biology, University of California, Berkeley, CA, 94720
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  • For correspondence: arun.wiita@ucsf.edu yss@berkeley.edu
Arun P. Wiita
3Dept. of Laboratory Medicine, University of California, San Francisco, CA, 94107
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  • For correspondence: arun.wiita@ucsf.edu yss@berkeley.edu
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Summary

Many small molecule chemotherapeutics induce stresses that globally inhibit mRNA translation, remodeling the cancer proteome and governing response to treatment. Here we measured protein synthesis in multiple myeloma cells treated with low-dose bortezomib by coupling pulsed-SILAC (pSILAC) with high-accuracy targeted quantitative proteomics. We found that direct measurement of protein synthesis by pSILAC correlated well with the indirect measurement of protein synthesis by ribosome profiling under conditions of robust translation. By developing a statistical model integrating longitudinal proteomic and mRNA-seq measurements, we found that proteomics could directly detect global alterations in translational rate as a function of therapy-induced stress after prolonged bortezomib exposure. Finally, the model we develop here, in combination with our experimental data including both protein synthesis and degradation, predicts changes in proteome remodeling under a variety of cellular perturbations. pSILAC therefore provides an important complement to ribosome profiling in directly measuring proteome dynamics under conditions of cellular stress.

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Posted November 14, 2016.
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Time-resolved proteomics vs. ribosome profiling reveals translation dynamics under stress
Tzu-Yu Liu, Hector H. Huang, Diamond Wheeler, James A. Wells, Yun S. Song, Arun P. Wiita
bioRxiv 087486; doi: https://doi.org/10.1101/087486
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Time-resolved proteomics vs. ribosome profiling reveals translation dynamics under stress
Tzu-Yu Liu, Hector H. Huang, Diamond Wheeler, James A. Wells, Yun S. Song, Arun P. Wiita
bioRxiv 087486; doi: https://doi.org/10.1101/087486

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