eprintid: 27770 rev_number: 122 userid: 5367 dir: disk0/00/02/77/70 datestamp: 2016-09-30 01:38:35 lastmod: 2016-11-15 14:33:00 status_changed: 2016-09-30 01:38:35 type: thesis_degree metadata_visibility: show contact_email: lig32@pitt.edu item_issues_count: 0 eprint_status: archive creators_name: Gu, Liqing creators_email: lig32@pitt.edu creators_id: LIG32 title: DEVELOPMENT OF PROTEOMICS APPROACHES TOWARDS CHARACTERIZING OXIDATIVE MODIFICATIONS ispublished: unpub divisions: sch_as_chemistry full_text_status: public keywords: Quantitative Proteomics; Redox Proteomics; Oxidative Modifications abstract: Mass spectrometry (MS) is an analytical technique allowing the investigation of a single protein or the entire complement of proteins from biomatrices for understanding attributes such as sequences, modifications, structures, abundances and interactions. Protein oxidative modifications, such as carbonylation and cysteine reversible oxidations, have important roles in physiological processes, including redox signaling, homeostasis, enzymatic catalysis and protein degradation. MS-based redox proteomics can identify and quantify oxidized protein modifications within the proteome. However it is challenging to globally investigate cysteine reversible modifications, due to the low abundance (~ < 1%) and diversity (e.g., S-nitrosylation, S-glutathionylation, sulfenic acid, disulfide bonds) of these modifications. Novel proteomics approaches are needed to better understand cysteine-related redox signaling and oxidative stress in disease. This dissertation presents studies of protein oxidative modifications using MS-based approaches. First, proteomics methodologies to study protein carbonylation and cysteine reversible modifications are reviewed, including the relevant applications in neurodegenerative disease. Next, a MS-based characterization of a whole protein is described by studying oxidative modifications generated through treatment of a model protein with oxidants. Novel methods towards characterizing endogenous cysteine oxidations in disease are then presented, including inexpensive and high-throughput approaches. The first approach utilizes low-cost isotopic dimethyl peptide labeling for comparing two proteome samples. This methodology has the ability to isolate and quantify total cysteinyl peptides or oxidized cysteinyl peptides from complex samples, and is employed to characterize the liver proteome of an Alzheimer’s disease (AD) mouse model. The second approach is cysteine-selective combined precursor isotopic labeling and isobaric tagging (cysteine-selective cPILOT), which incorporates isobaric tags to achieve 12-plex multiplexing capability. Cysteine-selective cPILOT is used to isolate total cysteinyl peptides from liver proteins and S-nitrosylated peptides from brain proteins of an AD mouse model. Overall the novel proteomics approaches developed herein lower experimental costs and improve the throughput of cysteine redox proteomics studies. date: 2016-09-29 date_type: published pages: 221 institution: University of Pittsburgh refereed: TRUE etdcommittee_type: committee_chair etdcommittee_type: committee_member etdcommittee_type: committee_member etdcommittee_type: committee_member etdcommittee_name: Robinson, Renã A S etdcommittee_name: Weber, Stephen G etdcommittee_name: Saxena, Sunil etdcommittee_name: Kagan, Valerian E etdcommittee_email: rena@pitt.edu etdcommittee_email: sweber@pitt.edu etdcommittee_email: sksaxena@pitt.edu etdcommittee_email: kagan@pitt.edu etd_defense_date: 2016-04-18 etd_approval_date: 2016-09-29 etd_submission_date: 2016-04-20 etd_release_date: 2016-09-29 etd_access_restriction: immediate etd_patent_pending: FALSE thesis_type: dissertation degree: PhD citation: Gu, Liqing (2016) DEVELOPMENT OF PROTEOMICS APPROACHES TOWARDS CHARACTERIZING OXIDATIVE MODIFICATIONS. Doctoral Dissertation, University of Pittsburgh. (Unpublished) document_url: http://d-scholarship-dev.library.pitt.edu/27770/1/1_Dissertation_LIQING_v21_May17.pdf document_url: http://d-scholarship-dev.library.pitt.edu/27770/2/2_Appendix_A_Figure_3.1_MSMS_of_ubiquitin_PTM.pdf document_url: http://d-scholarship-dev.library.pitt.edu/27770/3/3_Appendix_B_Table_4.1_CysDML_Pro_ID_List.pdf document_url: http://d-scholarship-dev.library.pitt.edu/27770/4/4_Appendix_B_Table_4.2_CysDML_peptide_ID_List.pdf document_url: http://d-scholarship-dev.library.pitt.edu/27770/5/5_Appendix_B_Table_4.3_cPILOT_Pro_ID_List.pdf document_url: http://d-scholarship-dev.library.pitt.edu/27770/6/6_Appendix_B_Table_4.4_cPILOT_peptide_ID_List.pdf document_url: http://d-scholarship-dev.library.pitt.edu/27770/7/7_Appendix_C_Table_5.1_Protein_ratio_normalization_factor.pdf document_url: http://d-scholarship-dev.library.pitt.edu/27770/8/8_Appendix_C_Table_5.2_Oxcysdml_all_peptide_ID.pdf document_url: http://d-scholarship-dev.library.pitt.edu/27770/9/9_Appendix_C_Table_5.3_Pathway_details.pdf document_url: http://d-scholarship-dev.library.pitt.edu/27770/10/10_Appendix_D_Table_6.1_SNO_Proteins.pdf document_url: http://d-scholarship-dev.library.pitt.edu/27770/11/11_Appendix_D_Table_6.2_SNO_Peptides_N%3D4%2C_3%2C_2.pdf document_url: http://d-scholarship-dev.library.pitt.edu/27770/12/12_Appendix_D_Table_6.3_SNO_Peptides_N%3D1.pdf