CaltechTHESIS
  A Caltech Library Service

DNA Encoded Biotechnologies for Informative Cancer Diagnostics

Citation

Kwong, Gabriel Abner (2009) DNA Encoded Biotechnologies for Informative Cancer Diagnostics. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/AXMP-AM12. https://resolver.caltech.edu/CaltechETD:etd-06022009-172223

Abstract

This thesis describes the development of DNA-encoded, multi-parametric, sensing platforms for informative cancer diagnostics. In the first part of this thesis, I will present a technology called “DNA-encoded antibody library (DEAL).” In this approach, computationally derived, orthogonal ssDNA sequences are conjugated to antibodies specific for protein targets and cell surface markers. The resulting collection of conjugates is applied to a biological sample of interest, binds to their cognate antigens, and is detected after the complexes are hybridized to a glass substrate printed with spatially distinct complementary DNA sequences. By using DNA assembly, the DEAL platform enables the simultaneous detection of the major classes of biological molecules, namely nucleic acids, proteins and cells.

The second part of this thesis focuses on the development of a cell sorting platform that can detect antigen-specific T cells called “Nucleic Acid Cell Sorting (NACS).” In NACS, ssDNA encoding is used to assemble peptide major histocompatability complexes (p/MHC) on glass substrates by hybridization to cDNA microarrays. These assembled peptide/MHC microarrays are then used to sort mixed populations of antigen-specific T cells. This spatially encoded scheme addresses the widespread desire for methods that allow the multiplexed detection of antigen-specific T cells. The sensitivity and selectivity of NACS is similar to flow cytometry, demonstrated in key experiments with T cells derived from multiple sources, including endogenous and TCR-engineered T cells collected from cancer patients. Finally, this platform is used to monitor the persistence of cancer-specific T cells in peripheral blood collected from a patient undergoing T cellular immunotherapy.

Lastly, a scheme for the detection of cell surface markers is presented. In this approach, DEAL and NACS conjugates prepared with UV labile ssDNA oligonucleotides are allowed to bind to target cell samples in solution. The ssDNA tags are released in solution by UV-induced photocleavage. The presence and expression of the cognate antigen is determined by collecting the pool of reporter ssDNA tags followed by exponential amplification by PCR. A DEAL conjugate specific for the oncogene EGFR was used to determine the expression level of EGFR in a low-passage brain tumor primary cell line. The feasibility of using ssDNA-p/MHC complexes for detecting unique TCRs was also demonstrated. Finally an experimental flow is described for integration with second generational high-throughput sequencing platforms for global and quantitative surface-ome profiling.

Item Type:Thesis (Dissertation (Ph.D.))
Subject Keywords:biochip; cancer diagnostics; immunotherapy; p/MHC; protein arrays; T cells
Degree Grantor:California Institute of Technology
Division:Engineering and Applied Science
Major Option:Bioengineering
Thesis Availability:Public (worldwide access)
Research Advisor(s):
  • Heath, James R.
Thesis Committee:
  • Heath, James R. (chair)
  • Guo, Chin-Lin
  • Bjorkman, Pamela J.
  • Mazmanian, Sarkis K.
Defense Date:28 May 2009
Non-Caltech Author Email:gabekwong (AT) gmail.com
Record Number:CaltechETD:etd-06022009-172223
Persistent URL:https://resolver.caltech.edu/CaltechETD:etd-06022009-172223
DOI:10.7907/AXMP-AM12
ORCID:
AuthorORCID
Kwong, Gabriel Abner0000-0002-6255-6755
Default Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:2413
Collection:CaltechTHESIS
Deposited By: Imported from ETD-db
Deposited On:08 Jun 2009
Last Modified:10 Feb 2021 01:46

Thesis Files

[img]
Preview
PDF (Full thesis) - Final Version
See Usage Policy.

5MB
[img]
Preview
PDF (Table of contents) - Final Version
See Usage Policy.

192kB
[img]
Preview
PDF (Chapter 1) - Final Version
See Usage Policy.

99kB
[img]
Preview
PDF (Chapter 2) - Final Version
See Usage Policy.

1MB
[img]
Preview
PDF (Chapter 3) - Final Version
See Usage Policy.

3MB
[img]
Preview
PDF (Chapter 4) - Final Version
See Usage Policy.

633kB

Repository Staff Only: item control page