63. DETECTION OF COLORECTAL CANCER RELATED ANTIBODY PEPTIDES USING PROTEOGENOMICS
Name: Seong Won Cha
Grad Year: 2017
Tumor antibody peptides environments are known to invoke an immune system response. However, identifying cancer specific antibody using tandem mass spectra remains a challenge because standard protein databases do not include the highly divergent sequences of somatically rearranged immunoglobulin genes. We introduce a novel proteogenomic approach to identify these highly variable antibody peptides. We develop a customized antibody database built solely using tumor RNA-seq data, and analyze MS/MS spectra from 90 distinct colorectal tumor samples. We show that many novel identifications can be found from our customized immunoglobulin gene database, and the identified peptides are from the active immune response to the tumor cell.
Industry Application Area(s)
Life Sciences/Medical Devices & Instruments | Software, Analytics