Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Development and Applications of Enhanced Multiplexing to Better Understand Aging, Infection, and Alzheimer's Disease

King, Christina D. (2019) Development and Applications of Enhanced Multiplexing to Better Understand Aging, Infection, and Alzheimer's Disease. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

[img]
Preview
PDF
Download (9MB) | Preview
[img] Microsoft Excel (Appendix A Table A2.2)
Supplemental Material

Download (567kB)
[img] Microsoft Excel (Appendix A Table A2.3)
Supplemental Material

Download (76kB)
[img] Microsoft Excel (Appendix A Table A2.4)
Supplemental Material

Download (698kB)
[img] Microsoft Excel (Appendix A Table A2.5)
Supplemental Material

Download (50kB)
[img] Microsoft Excel (Appendix A Table A2.6)
Supplemental Material

Download (21kB)
[img] Microsoft Excel (Appendix A Table A2.7)
Supplemental Material

Download (18kB)
[img] Microsoft Excel (Appendix A Table A2.8)
Supplemental Material

Download (19kB)
[img] Microsoft Excel (Appendix A Table A2.9)
Supplemental Material

Download (10kB)
[img] Microsoft Excel (Appendix A Table A2.10)
Supplemental Material

Download (17kB)
[img] Microsoft Excel (Appendix B Table B3.1)
Supplemental Material

Download (327kB)
[img] Microsoft Excel (Appendix B Table B3.2)
Supplemental Material

Download (133kB)
[img] Microsoft Excel (Appendix B Table B3.3)
Supplemental Material

Download (15kB)
[img] Microsoft Excel (Appendix B Table B3.4)
Supplemental Material

Download (10kB)
[img] Microsoft Excel (Appendix B Table B3.5)
Supplemental Material

Download (10kB)
[img] Microsoft Excel (Appendix B Table B3.6)
Supplemental Material

Download (28kB)
[img] Microsoft Excel (Appendix C Table C4.1)
Supplemental Material

Download (485kB)
[img] Microsoft Excel (Appendix C Table C4.2)
Supplemental Material

Download (244kB)
[img] Microsoft Excel (Appendix C Table C4.3)
Supplemental Material

Download (1MB)
[img] Microsoft Excel (Appendix C Table C4.4)
Supplemental Material

Download (1MB)
[img] Microsoft Excel (Appendix C Table C4.5)
Supplemental Material

Download (635kB)
[img] Microsoft Excel (Appendix C Table C4.6)
Supplemental Material

Download (559kB)
[img] Microsoft Excel (Appendix C Table C4.7)
Supplemental Material

Download (3MB)
[img] Microsoft Excel (Appendix C Table C4.8)
Supplemental Material

Download (1MB)
[img] Microsoft Excel (Appendix D Table D5.1)
Supplemental Material

Download (2MB)
[img] Microsoft Excel (Appendix D Table D5.2)
Supplemental Material

Download (773kB)

Abstract

Proteomics is the wide – scale study of proteins, in which the proteome of an organism is studied. Proteomics experiments obtain both qualitative and quantitative information by using a combination of analytical techniques including liquid chromatography, ion mobility, and mass spectrometry (MS). In quantitative experiments, relative protein amounts are determined to gain a better understanding of biological problems related to disease-state, kinetic changes, and effects of pharmaceutical products. In many cases, multiple samples (e.g. 10s to 100s) are analyzed to obtain statistically – significant results, which requires ample time (on the order of several days to weeks). To reduce sample analysis time and potential experimental error, multiplexing strategies have been developed. Samples are labeled metabolically, enzymatically, or chemically during sample preparation, pooled together, and analyzed simultaneously in the mass spectrometer.
In this body of work, multiplexing strategies have been applied to study aging and response to infection in C. elegans and the involvement of the periphery in Alzheimer’s disease. In addition, the development of analyzing multiplexed samples on Orbitrap MS platforms will be presented. These developments and applications contribute to science by providing insight to two conditions that affect the aging population.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
King, Christina D.cdk33@pitt.educdk330000-0002-9281-0830
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee CoChairRobinson, Renarena.as.robinson@vanderbilt.edu-
Committee CoChairWeber, Stephensweber@pitt.edu
Committee MemberIslam, Kabirulkai27@pitt.edu
Committee MemberYates, Nathanyatesn@pitt.edu
Date: 30 January 2019
Date Type: Publication
Defense Date: 16 November 2018
Approval Date: 30 January 2019
Submission Date: 7 December 2018
Access Restriction: 1 year -- Restrict access to University of Pittsburgh for a period of 1 year.
Number of Pages: 201
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Chemistry
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: proteomics, aging, cPILOT, multiplexing, Alzheimer's disease
Date Deposited: 30 Jan 2019 23:30
Last Modified: 19 Jul 2024 19:19
URI: http://d-scholarship.pitt.edu/id/eprint/35574

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item