Skip to main content

Identification of Neo-antigens for a Cancer Vaccine by Transcriptome Analysis

Abstract We propose a novel solution to prevent cancer by developing a prophylactic cancer. Several sources of antigens for cancer vaccines have been published. Among these, antigens that contain a frame-shift (FS) peptide or viral peptide are quite attractive for a variety of reasons. FS sequences, from either mistake in RNA processing or in genomic DNA, may lead to generation of neo-peptides that are foreign to the immune system. Viral peptides presumably would originate from exogenous but integrated viral nucleic acid sequences. Both are non-self, therefore lessen concerns about development of autoimmunity. I have developed a bioinformatical approach to identify these aberrant transcripts in the cancer transcriptome. Their suitability for use in ... (more)
Created Date 2012
Contributor Lee, Hojoon (Author) / Johnston, Stephen A (Advisor) / Kumar, Sudhir (Committee member) / Miller, Laurence (Committee member) / Stafford, Phillip (Committee member) / Sykes, Kathryn (Committee member) / Arizona State University (Publisher)
Subject Bioinformatics / Genetics / Medicine / antigens / Cancer Vaccine / frame-shifted mutation / sequence analysis / viruses
Type Doctoral Dissertation
Extent 168 pages
Language English
Reuse Permissions All Rights Reserved
Note Ph.D. Molecular and Cellular Biology 2012
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

  Full Text
12.7 MB application/pdf
Download Count: 25524

Description Dissertation/Thesis