Dataset Information

MoDCs HPLC-MS/MS - Unbiased Quantitative Proteomics Reveals a Crucial Role of the Allergen Context for the Activation of Human Dendritic Cells

ABSTRACT: To investigate the allergenicity of the major birch pollen allergen Bet v 1 and the impact of known adjuvants coming from pollen, such as lipopolysaccharide (LPS), we performed quantitative proteome analysis of stimulated monocyte-derived dendritic cells (moDCs). Thus, we treated cells with birch pollen extract (BPE), a recombinant variant of Bet v 1 or LPS followed by proteomic profiling by means of high performance liquid chromatography (HPLC) and tandem mass spectrometry (MS/MS) using isobaric labelling.

INSTRUMENT(S): Q Exactive Plus, Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Dendritic Cell, Blood

DISEASE(S): Allergy,Pollen Allergy

SUBMITTER: Lisa Strasser

LAB HEAD: Christian G. Huber

PROVIDER: PXD006196 | Pride | 2017-12-01

REPOSITORIES: Pride

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Publications

Unbiased Quantitative Proteomics Reveals a Crucial Role of the Allergen Context for the Activation of Human Dendritic Cells.

Strasser L L Dang H-H HH Schwarz H H Asam C C Ferreira F F Horejs-Hoeck J J Huber C G CG

Scientific reports 20171130 1

Worldwide, more than 1 billion people suffer from allergic diseases. However, until now it is not fully understood how certain proteins can induce allergic immune responses, while others cannot. Studies suggest that allergenicity is a process not only determined by properties of the allergen itself but also by costimulatory factors, that are not classically associated with allergic reactions. To investigate the allergenicity of the major birch pollen allergen Bet v 1 and the impact of adjuvants ...[more]

PMID: 29192156

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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.

Dataset Information

MoDCs HPLC-MS/MS - Unbiased Quantitative Proteomics Reveals a Crucial Role of the Allergen Context for the Activation of Human Dendritic Cells

Publications

Unbiased Quantitative Proteomics Reveals a Crucial Role of the Allergen Context for the Activation of Human Dendritic Cells.

Similar Datasets

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