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Inducible protein degradation systems are an important but untapped resource for the study of protein function in plant cells. Unlike mutagenesis or transcriptional control, regulated degradation of proteins of interest allows the study of the biological mechanisms of highly dynamic cellular processes involving essential proteins. While systems for targeted protein degradation are available for research and therapeutics in animals, there are currently limited options in plant biology. Targeted protein degradation systems rely on target ubiquitination by E3 ubiquitin ligases. Systems that are available or being developed in plants can be distinguished primarily by the type of E3 ubiquitin ligase involved, including those that utilize Cullin-RING ligases, bacterial novel E3 ligases, and N-end rule pathway E3 ligases, or they can be controlled by proteolysis targeting chimeras. Target protein ubiquitination leads to degradation by the proteasome or targeting to the vacuole, with both pathways being ubiquitous and important for the endogenous control of protein abundance in plants. Targeted proteolysis approaches for plants will likely be an important tool for basic research and to yield novel traits for crop biotechnology.
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UbE3-APA: A Bioinformatic Strategy to Elucidate Ubiquitin E3 Ligase Activities in Quantitative Proteomics Study
Abstract Motivation Ubiquitination is widely involved in protein homeostasis and cell signaling. Ubiquitin E3 ligases are critical regulators of ubiquitination that recognize and recruit specific ubiquitination targets for the final rate-limiting step of ubiquitin transfer reactions. Understanding the ubiquitin E3 ligase activities will provide knowledge in the upstream regulator of the ubiquitination pathway and reveal potential mechanisms in biological processes and disease progression. Recent advances in mass spectrometry-based proteomics have enabled deep profiling of ubiquitylome in a quantitative manner. Yet, functional analysis of ubiquitylome dynamics and pathway activity remains challenging. Results Here, we developed a UbE3-APA, a computational algorithm and stand-alone python-based software for Ub E3 ligase Activity Profiling Analysis. Combining an integrated annotation database with statistical analysis, UbE3-APA identifies significantly activated or suppressed E3 ligases based on quantitative ubiquitylome proteomics datasets. Benchmarking the software with published quantitative ubiquitylome analysis confirms the genetic manipulation of SPOP enzyme activity through overexpression and mutation. Application of the algorithm in the re-analysis of a large cohort of ubiquitination proteomics study revealed the activation of PARKIN and the co-activation of other E3 ligases in mitochondria depolarization-induced mitophagy process. We further demonstrated the application of the algorithm in the DIA-based quantitative ubiquitylome analysis. Availability Source code and binaries are freely available for download at URL: https://github.com/Chenlab-UMN/Ub-E3-ligase-Activity-Profiling-Analysis, implemented in python and supported on Linux and MS Windows Supplementary information Supplementary data are available at Bioinformatics online.
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- Award ID(s):
- 1753154
- PAR ID:
- 10317322
- Editor(s):
- Vitek, Olga
- Date Published:
- Journal Name:
- Bioinformatics
- ISSN:
- 1367-4803
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript
- Journal Article:
- https://doi.org/10.1093/bioinformatics/btac069
