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Design of recombinant antibody microarrays for global proteome analysis

Ingvarsson, Johan LU (2006)
Abstract
Antibody-based microarrays are among the new, rapidly emerging technologies within the field of proteomics that has the potential to evolve into a key proteomic research tool, providing novel means to perform early diagnostics, identify biomarkers and gain insights into disease biology.



The aim of this thesis, based on five original papers, was to develop antibody microarrays based on human recombinant scFv antibody fragments for large-scale comprehensive proteome analysis. In order to accomplish that, several of the key technological antibody microarray parameters critical for complex proteome analysis were carefully addressed and optimized (paper I-IV). By successfully optimizing each of the features, a... (More)
Antibody-based microarrays are among the new, rapidly emerging technologies within the field of proteomics that has the potential to evolve into a key proteomic research tool, providing novel means to perform early diagnostics, identify biomarkers and gain insights into disease biology.



The aim of this thesis, based on five original papers, was to develop antibody microarrays based on human recombinant scFv antibody fragments for large-scale comprehensive proteome analysis. In order to accomplish that, several of the key technological antibody microarray parameters critical for complex proteome analysis were carefully addressed and optimized (paper I-IV). By successfully optimizing each of the features, a state-of-the-art recombinant antibody microarray technology platform was successfully designed. The recombinant antibody microarrays could readily be used to perform highly sensitive and multiplexed protein expression analysis of complex samples, such as human plasma. In the final study (paper V), we applied the optimized microarrays to analyze pancreatic cancer serum samples and compared the protein expression signature to healthy controls. The results showed that a pancreatic cancer associated protein signature could be identified that could discriminate between cancer patients and healthy controls with a 100 % specificity and sensitivity. In addition, we also identified a potential predictor signature, which could be used to identify two cohorts of patients based on the overall survival. These novel findings demonstrated the tremendous potential of antibody microarrays in cancer research and clinical applications. (Less)
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author
supervisor
opponent
  • Prof. Cahill, Dolores, National Centre for Human Proteomics, Dublin, Ireland
organization
publishing date
type
Thesis
publication status
published
subject
keywords
Bioteknik, oncoproteomics, Recombinant antibody microarray, scFv, Biotechnology, plasma proteome analysis
pages
140 pages
publisher
Department of Immunotechnology, Lund University
defense location
Lundmarksalen, Astronomiska Institutionen, Sölvegatan 27, Lund
defense date
2006-12-15 13:15:00
ISBN
978-91-628-7011-9
language
English
LU publication?
yes
id
dd52125f-f85a-4532-8375-b11e5aff84a8 (old id 547708)
date added to LUP
2016-04-04 10:13:39
date last changed
2018-11-21 20:57:31
@phdthesis{dd52125f-f85a-4532-8375-b11e5aff84a8,
  abstract     = {{Antibody-based microarrays are among the new, rapidly emerging technologies within the field of proteomics that has the potential to evolve into a key proteomic research tool, providing novel means to perform early diagnostics, identify biomarkers and gain insights into disease biology.<br/><br>
<br/><br>
The aim of this thesis, based on five original papers, was to develop antibody microarrays based on human recombinant scFv antibody fragments for large-scale comprehensive proteome analysis. In order to accomplish that, several of the key technological antibody microarray parameters critical for complex proteome analysis were carefully addressed and optimized (paper I-IV). By successfully optimizing each of the features, a state-of-the-art recombinant antibody microarray technology platform was successfully designed. The recombinant antibody microarrays could readily be used to perform highly sensitive and multiplexed protein expression analysis of complex samples, such as human plasma. In the final study (paper V), we applied the optimized microarrays to analyze pancreatic cancer serum samples and compared the protein expression signature to healthy controls. The results showed that a pancreatic cancer associated protein signature could be identified that could discriminate between cancer patients and healthy controls with a 100 % specificity and sensitivity. In addition, we also identified a potential predictor signature, which could be used to identify two cohorts of patients based on the overall survival. These novel findings demonstrated the tremendous potential of antibody microarrays in cancer research and clinical applications.}},
  author       = {{Ingvarsson, Johan}},
  isbn         = {{978-91-628-7011-9}},
  keywords     = {{Bioteknik; oncoproteomics; Recombinant antibody microarray; scFv; Biotechnology; plasma proteome analysis}},
  language     = {{eng}},
  publisher    = {{Department of Immunotechnology, Lund University}},
  school       = {{Lund University}},
  title        = {{Design of recombinant antibody microarrays for global proteome analysis}},
  year         = {{2006}},
}