Rapid and comprehensive discovery of unreported shellfish allergens using large-scale transcriptomic and proteomic resources

Nugraha, Roni, Kamath, Sandip D., Johnston, Elecia, Zenger, Kyall R., Rolland, Jennifer M., O’Hehir, Robyn E., and Lopata, Andreas L. (2018) Rapid and comprehensive discovery of unreported shellfish allergens using large-scale transcriptomic and proteomic resources. Journal of Allergy and Clinical Immunology, 141 (4). e8. pp. 1501-1504.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: https://doi.org/10.1016/j.jaci.2017.11.0...
 
21
3


Abstract

[Extract] Discovery of allergens in various food and inhalant sources is central to our understanding of the molecular mechanisms of allergic reactions. Allergen characterization is the most important underlying factor for better patient management and the design and development of novel immunotherapeutics.1 Of the "Big eight" allergen food groups, shellfish presents a unique challenge in terms of allergen discovery due to the large number and diversity of consumed species, leading to heterogeneity of allergen structure and cross-reactivity among various sources. At present, 31 crustacean allergens have been officially registered in the World Health Organization and International Union of Immunological Societies Allergen Nomenclature Database as compared with 4 mollusk allergens due to pitfalls in current allergy discovery approaches. Cosensitization of patients with crustacean and mollusk allergy is often described; however, the current diagnostic approaches to manage these patients are not based on sufficient molecular knowledge of these shellfish allergens.

Item ID: 56034
Item Type: Article (Research - C1)
ISSN: 1097-6825
Date Deposited: 06 Nov 2018 02:14
FoR Codes: 32 BIOMEDICAL AND CLINICAL SCIENCES > 3204 Immunology > 320401 Allergy @ 50%
32 BIOMEDICAL AND CLINICAL SCIENCES > 3205 Medical biochemistry and metabolomics > 320506 Medical biochemistry - proteins and peptides (incl. medical proteomics) @ 20%
31 BIOLOGICAL SCIENCES > 3102 Bioinformatics and computational biology > 310204 Genomics and transcriptomics @ 30%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920108 Immune System and Allergy @ 70%
92 HEALTH > 9202 Health and Support Services > 920203 Diagnostic Methods @ 30%
Downloads: Total: 3
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page