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Mol Cell. 2016 Sep 15;63(6):1055-65. doi: 10.1016/j.molcel.2016.08.005. Epub 2016 Sep 8.

Mapping the Landscape of a Eukaryotic Degronome.

Author information

1
Department of Biological Chemistry, Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.
2
Department of Biological Chemistry, Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel; School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.
3
Department of Pharmacology, University of Washington, Seattle, WA 98195, USA.
4
Department of Biological Chemistry, Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel; School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel. Electronic address: nir@cs.huji.ac.il.
5
Department of Biological Chemistry, Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel; School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel. Electronic address: rsadeh@cs.huji.ac.il.
6
Department of Biological Chemistry, Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel. Electronic address: tommer.ravid@mail.huji.ac.il.

Abstract

The ubiquitin-proteasome system (UPS) for protein degradation has been under intensive study, and yet, we have only partial understanding of mechanisms by which proteins are selected to be targeted for proteolysis. One of the obstacles in studying these recognition pathways is the limited repertoire of known degradation signals (degrons). To better understand what determines the susceptibility of intracellular proteins to degradation by the UPS, we developed an unbiased method for large-scale identification of eukaryotic degrons. Using a reporter-based high-throughput competition assay, followed by deep sequencing, we measured a degradation potency index for thousands of native polypeptides in a single experiment. We further used this method to identify protein quality control (PQC)-specific and compartment-specific degrons. Our method provides an unprecedented insight into the yeast degronome, and it can readily be modified to study protein degradation signals and pathways in other organisms and in various settings.

PMID:
27618491
DOI:
10.1016/j.molcel.2016.08.005
[Indexed for MEDLINE]
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