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A Computational Tool for Analysis of Mass Spectrometry Data of Ubiquitin-Enriched Samples.
Matthiesen, Rune; Rodriguez, Manuel S; Carvalho, Ana Sofia.
Affiliation
  • Matthiesen R; iNOVA4Health, NOVA Medical School, Faculdade de Ciências Médicas, NMS, FCM, Universidade Nova de Lisboa, Lisbon, Portugal. rune.matthiesen@nms.unl.pt.
  • Rodriguez MS; Laboratoire de Chimie de Coordination (LCC)-CNRS, UPS, Toulouse, France.
  • Carvalho AS; iNOVA4Health, NOVA Medical School, Faculdade de Ciências Médicas, NMS, FCM, Universidade Nova de Lisboa, Lisbon, Portugal.
Methods Mol Biol ; 2602: 205-214, 2023.
Article in En | MEDLINE | ID: mdl-36446977
ABSTRACT
Mass spectrometry data on ubiquitin and ubiquitin-like modifiers are becoming increasingly more accessible, and the coverage progressively deepen as methodologies mature. This type of mass spectrometry data is linked to specific data analysis pipelines for ubiquitin. This chapter describes a computational tool to facilitate analysis of mass spectrometry data obtained on ubiquitin-enriched samples. For example, the analysis of ubiquitin branch site statistics and functional enrichment analysis against ubiquitin proteasome system protein sets are completed with a few functional calls. We foresee that the proposed computational methodology can aid in proximity drug design by, for example, elucidating the expression of E3 ligases and other factors related to the ubiquitin proteasome system.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ubiquitin / Proteasome Endopeptidase Complex Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2023 Document type: Article Affiliation country: Portugal

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ubiquitin / Proteasome Endopeptidase Complex Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2023 Document type: Article Affiliation country: Portugal