Your browser doesn't support javascript.
loading
The Immunome of Colon Cancer: Functional In Silico Analysis of Antigenic Proteins Deduced from IgG Microarray Profiling / 基因组蛋白质组与生物信息学报·英文版
Genomics, Proteomics & Bioinformatics ; (4): 73-84, 2018.
Article in English | WPRIM | ID: wpr-773003
ABSTRACT
Characterization of the colon cancer immunome and its autoantibody signature from differentially-reactive antigens (DIRAGs) could provide insights into aberrant cellular mechanisms or enriched networks associated with diseases. The purpose of this study was to characterize the antibody profile of plasma samples from 32 colorectal cancer (CRC) patients and 32 controls using proteins isolated from 15,417 human cDNA expression clones on microarrays. 671 unique DIRAGs were identified and 632 were more highly reactive in CRC samples. Bioinformatics analyses reveal that compared to control samples, the immunoproteomic IgG profiling of CRC samples is mainly associated with cell death, survival, and proliferation pathways, especially proteins involved in EIF2 and mTOR signaling. Ribosomal proteins (e.g., RPL7, RPL22, and RPL27A) and CRC-related genes such as APC, AXIN1, E2F4, MSH2, PMS2, and TP53 were highly enriched. In addition, differential pathways were observed between the CRC and control samples. Furthermore, 103 DIRAGs were reported in the SEREX antigen database, demonstrating our ability to identify known and new reactive antigens. We also found an overlap of 7 antigens with 48 "CRC genes." These data indicate that immunomics profiling on protein microarrays is able to reveal the complexity of immune responses in cancerous diseases and faithfully reflects the underlying pathology.
Subject(s)

Full text: Available Index: WPRIM (Western Pacific) Main subject: Computer Simulation / Immunoglobulin G / Biomarkers, Tumor / Case-Control Studies / Gene Expression Regulation, Neoplastic / Colonic Neoplasms / Computational Biology / Gene Expression Profiling / Protein Array Analysis / Allergy and Immunology Type of study: Observational study / Risk factors Limits: Adult / Aged / Aged80 / Female / Humans / Male Language: English Journal: Genomics, Proteomics & Bioinformatics Year: 2018 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Main subject: Computer Simulation / Immunoglobulin G / Biomarkers, Tumor / Case-Control Studies / Gene Expression Regulation, Neoplastic / Colonic Neoplasms / Computational Biology / Gene Expression Profiling / Protein Array Analysis / Allergy and Immunology Type of study: Observational study / Risk factors Limits: Adult / Aged / Aged80 / Female / Humans / Male Language: English Journal: Genomics, Proteomics & Bioinformatics Year: 2018 Type: Article