Font Size: a A A

Proteome-wide Integrative Prediction And Molecular Characteristics Database Construction Of Allergens In Main Crops

Posted on:2017-08-06Degree:MasterType:Thesis
Country:ChinaCandidate:J LiFull Text:PDF
GTID:2381330590491716Subject:Bioinformatics
Abstract/Summary:PDF Full Text Request
Food allergy is a major health problem frequently caused by recognizing food allergy protein by the immune system and inducing type-I hypersensitivity reaction in atopic individuals.The food allergens in our daily lives are mainly from crops including rice,wheat,soybean,peanut and maize.However,the allergens in these main crops are far from fully uncovered and characterized.We sought to comprehensively identify the allergens in rice,wheat,soybean and maize in proteome-wide and characterize them at genome,transcriptome and proteome.Using an integrated novel algorithm PREAL~W,we scanned the proteome sequences of the main crops to predict potential allergens.Then,a database named MOCHA(molecular characteristics database for allergens in crops)was built to store and annotate these allergens in genome,transcriptome and proteome levels.Finally,846 known allergens and 3142 predicted ones were stored in MOCHA.MOCHA provided the annotation for each allergen about the features of biochemistry and physicochemistry in proteome sequence,the secondary and tertiary structure.It is exceptionally noted that MOCHA also offers graphical descriptions of gene and protein expression profiles of these allergens in different tissues and development stages by comparing with the whole transcriptome and proteome.In data analysis,we investigated the over-represented amino acids in corps allergen sequences and reported the allergen enriched protein families as well as the subcellular location.Based on the expression profiles,we found the allergens in rice have significantly higher expression level in almost all development stages than non-allergens,suggesting the high expression level of allergens may be required to cause an allergic reaction.In this study,we not only identified the potential allergen in crops comprehensively,but also provided a systemic insight into the understanding of the properties of allergens of main crops at the level of multi-omics,which is helpful for allergy prevention and therapy.MOCHA is available at http://lilab.life.sjtu.edu.cn:8080/mocha/.
Keywords/Search Tags:Allergen database, Allergenicity prediction, Molecular characteristics, Transcriptome
PDF Full Text Request
Related items