| Literature DB >> 29925008 |
Navratan Bagwan1, Elena Bonzon-Kulichenko2, Enrique Calvo2, Ana Victoria Lechuga-Vieco3, Spiros Michalakopoulos1, Marco Trevisan-Herraz2, Iakes Ezkurdia2, José Manuel Rodríguez1, Ricardo Magni1, Ana Latorre-Pellicer1, José Antonio Enríquez4, Jesús Vázquez5.
Abstract
Post-translational modifications hugely increase the functional diversity of proteomes. Recent algorithms based on ultratolerant database searching are forging a path to unbiased analysis of peptide modifications by shotgun mass spectrometry. However, these approaches identify only one-half of the modified forms potentially detectable and do not map the modified residue. Moreover, tools for the quantitative analysis of peptide modifications are currently lacking. Here, we present a suite of algorithms that allows comprehensive identification of detectable modifications, pinpoints the modified residues, and enables their quantitative analysis through an integrated statistical model. These developments were used to characterize the impact of mitochondrial heteroplasmy on the proteome and on the modified peptidome in several tissues from 12-week-old mice. Our results reveal that heteroplasmy mainly affects cardiac tissue, inducing oxidative damage to proteins of the oxidative phosphorylation system, and provide a molecular mechanism explaining the structural and functional alterations produced in heart mitochondria.Entities:
Keywords: bioinformatics; heteroplasmy; mass spectrometry; mitochondria; oxidative phosphorylation; post-translational modifications; proteomics
Year: 2018 PMID: 29925008 DOI: 10.1016/j.celrep.2018.05.080
Source DB: PubMed Journal: Cell Rep Impact factor: 9.423