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Title page for ETD etd-03092005-132210


Type of Document Dissertation
Author Xu, Baogang Jonathan
Author's Email Address baogang.j.xu@vanderbilt.edu
URN etd-03092005-132210
Title Combining laser capture microdissection and MALDI mass spectrometry for tissue protein profiling: methodology development and clinical applications
Degree PhD
Department Chemistry
Advisory Committee
Advisor Name Title
Richard Caprioli Committee Chair
Andrew Link Committee Member
Michael Stone Committee Member
Robert Coffey Committee Member
Keywords
  • LCM
  • crypt
  • FSGS
  • breast cancer
  • MALDI
  • proteomics
Date of Defense 2005-02-24
Availability unrestricted
Abstract
The combination of laser capture microdissection (LCM) and matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS) for protein profiling from specific cells of interest within heterogeneous tissue is presented in this thesis. The methodology of direct analysis of laser capture microdissected cells using MALDI MS is described. The sensitivity and reproducibility of this approach were reported. High quality protein expression profiles at the mass range of 2,000 to 50,000 Da are obtained. As the protocols were optimized, three clinical applications were studied: 1) protein biomarkers of normal and neoplastic mouse colon, 2) proteomic patterns of glomerulosclerosis and their use for the prediction of sclerosis progression, and 3) proteomic patterns of human breast tissue aimed at the molecular distinction of breast cancer and normal mammary tissue with classification of in situ tumor and invasive tumor. Statistically significant protein markers were identified for each of the tissue groups by amino acid sequence analysis. Immunostaining studies further confirmed the differential expression of some of these protein markers. In summary, LCM combined with MALDI MS is a sensitive, accurate, fast and reliable method to discover protein biomarkers which can aid in disease diagnosis, discovery of drug targets and advance the understanding of underlying mechanisms of diseases.
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