Characterization of protein degradation arrest inducted by Epoxomicin in a neuroblastoma cell line model
Creators: name: D'ALESSANDRO, ANNAMARIA
Publisher: name: Università degli Studi di Roma "Tor Vergata"
Year: 2008
Subjects: subject: Epoxomicin; neurodegenerative; disease; autophagy; proteomics; functional network analysis; beta-estradiol
subject: Neuroblastoma; NB
subject: Epoxomicin
subject: neurodegenerative
subject: disease
subject: autophagy
subject: proteomics
subject: functional network analysis
subject: beta-estradiol
subject: Neuroblastoma
subject: NB

description: 20. ciclo
description: Introduction - 1 Protein degradation 1.1-Lysosomes‘ degradation - 1.2 Autophagy (Proteins degradation and Cell Death) - 1.3 Autophagy in Cancer and Neurodegenerative disorders - 1.4 Proteolysis by proteasomes - 1.5 Tables and Figures - 2 Ubiquitin Proteasome System - 2.1 Background - 2.2 Description - 2.3 Structure and organization - 2.4 Assemblation and degradation process - 2.5 Biological implication of Proteasome degradation - 2.6 The role of Ubiquitin in Protein Degradation - 2.7 Ubiquitin family - 2.8 Figures - 3 Diseases linked to UPS impairment - 3.1 Inherited disorders - 3.2 Acquired disorders - 3.3 Neurodegenerative diseases - 3.4 Protein-degradation pathways in neurodegeneration - 3.4 Figures - 4 Proteasome Inhibitors (PIs) - 4.1 Synthetic Inhibitors of Proteasome - 4.2 Natural Product Inhibitors of Proteasome - 4.3 Proteasome Inhibitors as Therapeutic Agents - 4.4 Figures - 5 Models of Proteasome dysfunction - 5.1 Pharmacological models of Proteasome dysfunction - 5.2 Genetic models of Proteasome dysfunction - 5.3 Figures and Tables - 6 Proteomics analysis of biological model - 6.1 Tools of Proteomics - 6.2 Mass Spectrometry tecniques and instruments - 6.3 Applications of Proteomics - 6.4 Determinants of the Proteome - 6.5 Figures - 7 Bioinformatic analysis - 7.1 Classical bioinformatics: prediction of fingerprinting patterns - 7.2 Computational genomics and functional association - 7.3 Gene Ontologies - 7.4 Beyond the classical view: New methods and Possibilities - 7.5 Bioinformatics methods for the prediction of protein interactions - 7.6 Future direction - 7.7 Figures and Tables . - Objectives of the research - Results - 1 Biological effect of Epoxomicin on NB cell model - 2 Evaluation of Epoxomicin impact on NB proteome - 2.1 Differential expression and protein identification - 2.2 Expression Analysis - 3 Immunoblotting validation - 4 Protein networks involved in response to Epoxomicin - 5 Protective role of beta-estradiol on Epoxomicin cell model - 6 Figures and Tables. - Discussion - 1 Biological effects of Epoxomicin - 2 Proteins involved in response to Epoxomicin treatment - 3 Protein networks: β-estradiol in neurodegenerative disease - 4 Figures . - Concluding remarks - Materials and Methods - 1 Reagents - 2 Cell Lines - 3 Neuronal Cultures - 4 Viability Assays - 5 Flow cytometric analysis - 5.1 Analysis of cells volume and morphological complexity - 5.2 Fluorescence-activated cell sorting of SH-SY5Y cells - 5.3 Assays of apoptosis and necrosis induction - 5.4 Propidium Iodide-Based Cell Cycle Analysis - 6 Immunoblot Analysis - 7 Two-dimensional gel electrophoresis - 8 Image analysis - 9 In gel trypsin digestion - 10 Protein identification by Peptide Mass Fingerprinting (PMF) - 11 Protein identification by LC-MS/MS - 12 Protein identification and quantitation by LC-MSE - 13 Bioinformatic Analysis of Gene Ontologies - 14 Figures - Bibliography - Curriculum vitae et studiorum - Publications - Copy of publications