Proteomic and immunoinformatic analysis reveals novel allergen candidates in blood clams
Ontology highlight
ABSTRACT:
INSTRUMENT(S):
ORGANISM(S): Mollusca
TISSUE(S): Muscle
SUBMITTER: 
Teodora Cvetić
LAB HEAD: Tanja Ćirković Veličković
PROVIDER: PXD064892 | Pride | 2025-08-11
REPOSITORIES: Pride
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| QEHF1_11926_MB.mgf | Mgf | |||
| QEHF1_11926_MB.raw | Raw | |||
| QEHF1_11926_MB.xml | Xml | |||
| QEHF1_11927_MB.mgf | Mgf | |||
| QEHF1_11927_MB.raw | Raw |
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Project description:Background: Respiratory allergy triggered by pollen allergens is increasing at an alarming rate worldwide. Sunflower pollen is thought to be an important source of inhalant allergens. Present study aims to identify the prevalence of sunflower pollinosis among the Indian allergic population and characterizes the pollen allergens using immuno-proteomic tools. Methodology: Clinico-immunological tests were performed to understand the prevalence of sensitivity towards sunflower pollen among the atopic population. Sera from selected sunflower positive patients were used as probe to detect the IgE-reactive proteins from the one and two dimensionally separated proteome of sunflower pollen. The antigenic nature of the sugar moiety of the glycoprotein allergens was studied by meta-periodate modification of IgE-immunoblot. Finally, these allergens were identified by mass-spectrometry (MALDI TOF/TOF and LC ESI qTOF). MASCOT searching was performed against NCBInr database. However, Helianthus annuus genome is not fully sequenced and partially annotated. So in case of low confidence (p> 0.05) protein identification, searching was performed against EST library of Helianthus annuus. Results: Prevalence of sunflower pollen allergy was observed among 21% of the atopic population and associated with elevated level of specific IgE and histamine in the sera of these patients. Immunoscreening of sunflower pollen proteome with patient serum detected seven IgE-reactive proteins with varying molecular weight and pI. Hierarchical clustering of 2D-immunoblot data highlighted three allergens characterized by a more frequent immuno-reactivity and increased levels of IgE antibodies in the sera of susceptible patients. These allergens were considered as the major allergens of sunflower pollen and were found to have their glycan moiety critical for inducing IgE response. Homology driven search of MS/MS data of these IgE-reactive proteins identified seven previously unreported allergens from sunflower pollen. Three major allergenic proteins were identified as two non-isoformic pectate lyases and a cystein protease. Conclusion: Novelty of the present report is the identification of a panel of seven sunflower pollen allergens for the first time at immuno-biochemical and proteomic level, which substantiated the clinical evidence of sunflower allergy. Further purification and recombinant expression of these allergens will improve component-resolved diagnosis and therapy of pollen allergy.
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2019-06-17 | PXD012280 | Pride
Project description:The delineation of the olive pollen proteome and its allergogram can improve the clinical management of patients with this pollinosis. We here integrated the recently described wild olive genomic data in a comprehensive proteomic approach to get the annotated olive (Olea europaea) pollen proteome and complete its complex allergogram. Olive pollen proteins were identified by LC-MS/MS using predicted protein sequences from its genome. GO annotation, KEGG Pathway analysis and identification of allergen families were performed by bioinformatics. Recombinant DNA, protein expression and purification, and immunological analyses were used to characterize putative allergens. A total of 1,907 proteins were identified. 60% of the proteins were predicted to possess catalytic activity and be involved in metabolic processes. 203 proteins belonging to 47 allergen families were found, with 37 non-previously described in olive pollen. Of four potential allergens produced in Escherichia coli, a peptidyl-prolyl cis-trans isomerase -cyclophilin-, masked in the protein extract by the major allergen Ole e 1, was found as a new olive pollen allergen (Ole e 15). 63% of the Ole e 15-sensitized patients were children and showed strong IgE recognition of the allergen. Ole e 15 shared high sequence identity with other plant, animal and fungal cyclophilins and a high IgE cross-reactivity with pollen, plant food and animal extracts. Taken together, the combination of available genomic data with proteomics permitted the profiling of the olive pollen proteome, revealing the spectrum of allergen families and cyclophilin as a new relevant allergen implicated in cross-reactivity.
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Project description:Background: Most asthmatic patients have high serum levels of IgE directed against common environmental allergens such as house dust mite, animal danders and moulds. However the presence of specific IgE against individual allergens alone does not account for asthma. Many individuals are atopic but not asthmatic. Precise knowledge of the serum IgE specificity repertoire in asthmatic and non-asthmatic patients would substantially help in understanding the pathogenesis of the disease and at the same time facilitate the treatment and the implementation of preventive measures. Methods: We developed a microarray immunoassay containing 103 common allergens to study the IgE reactivity profiles of 485 asthmatic and 342 non-asthmatic individuals from families whose members had a documented history of asthma and atopy. The results were analyzed using k-means clustering to investigate whether IgE reactivity profiles correlated with asthma, disease severity and age of onset as well as with other atopic conditions such as rhinitis, conjunctivitis and eczema. We trained an artificial neural network (ANN) using the serum reactivity data to identify individuals as asthmatic and non-asthmatic. Results: Individual sera showed clear differences in the number and the combinations of allergens recognized as well as in the level of specific IgE. While the presence of specific IgE against single allergens correlated poorly with the pathological conditions examined k-means clustering analysis unraveled that a particular profile was significantly associated with asthma (p <1E-8). An ANN-based algorithm, calibrated with the profile reactivity data correctly classified as asthmatic or non-asthmatic 78% of the individual examined. Conclusions: Our analysis demonstrates that asthma may be a higher-order phenomenon related to patterns of response and not attributable to single antibody reactions. This information sheds new light on the risk of developing the disease and can be readily utilized in combination with an ANN-based tool to distinguish asthmatic and non-asthmatic individuals on the basis of their serum reactivity profile.
2012-01-03 | GSE20020 | GEO