UbE3-APA

UbE3-APA profiles ubiquitin E3 ligase activities from quantitative ubiquitylome proteomics data to infer ligase activation or suppression and facilitate functional analysis of ubiquitination-mediated protein regulation.


Key Features:

  • Integrated Annotation Database: Incorporates an extensive annotation database for identification and mapping of ubiquitin E3 ligases and their substrates.
  • Statistical Analysis: Employs statistical methods to identify significantly activated or suppressed E3 ligases from quantitative ubiquitylome datasets.
  • Benchmarking Capability: Validated against published quantitative ubiquitylome analyses, including detection of SPOP overexpression and mutation effects.
  • Mass Spectrometry Compatibility: Leverages mass spectrometry-based quantitative proteomics workflows, including targeted and data-independent acquisition (DIA) approaches.
  • Implementation: Implemented as a computational algorithm with a stand-alone Python-based software implementation.

Scientific Applications:

  • Ubiquitylome Dynamics: Enables functional analysis of ubiquitylome dynamics and pathway-level changes in E3 ligase activity.
  • Mitophagy Analysis: Detects activation of PARKIN and co-activation of other E3 ligases during mitochondria depolarization-induced mitophagy.
  • Genetic Perturbation Profiling: Detects effects of genetic manipulations such as SPOP overexpression and mutation on E3 ligase activity profiles.
  • Disease Mechanism Investigation: Supports investigation of ubiquitination dysregulation in disease-relevant pathways.

Methodology:

Operates on mass spectrometry-based quantitative ubiquitylome data, supports targeted and data-independent acquisition (DIA) workflows, is implemented as a computational algorithm with a Python-based software implementation, and applies statistical analyses to identify significantly activated or suppressed E3 ligases.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
6/8/2022
Last Updated:
6/8/2022

Operations

Publications

Gong Y, Chen Y. UbE3-APA: a bioinformatic strategy to elucidate ubiquitin E3 ligase activities in quantitative proteomics study. Bioinformatics. 2022;38(8):2211-2218. doi:10.1093/bioinformatics/btac069. PMID:35139152. PMCID:PMC9004656.

PMID: 35139152
PMCID: PMC9004656
Funding: - National Science Foundation: CHE-1753154 - National Institute of Health: R35GM124896