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020 ▼a 9781085557153
035 ▼a (MiAaPQ)AAI10930539
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 540
1001 ▼a Riley, Nicholas M.
24510 ▼a Advancing Electron Transfer Dissociation Technologies for Characterization of Proteomes and Post-translational Modifications.
260 ▼a [S.l.]: ▼b The University of Wisconsin - Madison., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 440 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 81-02, Section: B.
500 ▼a Advisor: Coon, Joshua J.
5021 ▼a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2018.
506 ▼a This item must not be sold to any third party vendors.
520 ▼a This dissertation presents research focusing on the development of new instrumentation and methodology to leverage ion-ion reactions for proteomic analyses. Electron transfer dissociation (ETD) technologies have proven a valuable alternative to collision-based fragmentation methods for sequencing peptides and proteins to advance global proteome characterization. Chapter 1 outlines the core concepts central to mass spectrometry (MS)-based proteomics, in addition to the basic principles of ETD and various strategies to improve its efficacy-including the technology that is the focus of this work, i.e., activated ion ETD (AI-ETD). Chapter 2 describes the first application of AI-ETD to intact proteins, which are more chemically complex and, thus, more difficult to sequence, than their peptide counterparts. Chapter 3 discusses a new strategy to improve signal to-noise in ETD spectra, which is especially beneficial for intact protein analysis and which has been incorporated into the newest generation of commercially available quadrupole-Orbitrap-linear ion trap hybrid MS systems. AI-ETD capabilities were also recently implemented on this state-of-the-art MS system (Chapter 4), and the ability to perform AI-ETD on this instrument enables comprehensive sequence coverage of moderately-sized intact proteins (Chapter 5), significantly improves proteoform characterization in large-scale analyses of complex mixtures of intact proteins (Chapter 6), and also enhances characterization of larger intact proteins (Chapter 7). Furthermore, AI-ETD improves characterization of post-translational modifications. Chapter 8 demonstrates the utility of AI-ETD for phosphosite localization in phosphopeptides and intact phosphoproteins, and Chapter 9 presents the largest glycoproteomic study to date by using AI-ETD to interrogate intact N-glycopeptides. Beyond positive-mode analyses of peptide and protein cations, ion-ion reactions also bring unique benefits to negative-mode analyses of precursor anions, where collision-based dissociation fails to consistently produce sequence-informative fragments. Chapter 10 describes implementation of negative ETD (NETD) and activated ion NETD (AI-NETD) and their application to whole-proteome sequencing in the negative mode, and Chapter 11 presents a modified search algorithm to improve interpretation of large-scale NETD and AI-NETD data. Conclusions and future directions of these projects are discussed in Chapter 12.
590 ▼a School code: 0262.
650 4 ▼a Analytical chemistry.
650 4 ▼a Chemistry.
690 ▼a 0486
690 ▼a 0485
71020 ▼a The University of Wisconsin - Madison. ▼b Chemistry.
7730 ▼t Dissertations Abstracts International ▼g 81-02B.
773 ▼t Dissertation Abstract International
790 ▼a 0262
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15490351 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202002 ▼f 2020
990 ▼a ***1008102
991 ▼a E-BOOK