Dataset Information

Hs_PanLibrary_LNCaP

ABSTRACT: Hs_PanLibrary_LNCaP

REANALYSIS of: PXD000953

INSTRUMENT(S): TripleTOF 5600

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Others

SUBMITTER: Rosenberger G, et al.

PROVIDER: PAe005391 | PeptideAtlas | 2014-12-31

REPOSITORIES: PeptideAtlas

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Publications

A repository of assays to quantify 10,000 human proteins by SWATH-MS.

Rosenberger George G Koh Ching Chiek CC Guo Tiannan T Röst Hannes L HL Kouvonen Petri P Collins Ben C BC Heusel Moritz M Liu Yansheng Y Caron Etienne E Vichalkovski Anton A Faini Marco M Schubert Olga T OT Faridi Pouya P Ebhardt H Alexander HA Matondo Mariette M Lam Henry H Bader Samuel L SL Campbell David S DS Deutsch Eric W EW Moritz Robert L RL Tate Stephen S Aebersold Ruedi R

Scientific data 20140916

Mass spectrometry is the method of choice for deep and reliable exploration of the (human) proteome. Targeted mass spectrometry reliably detects and quantifies pre-determined sets of proteins in a complex biological matrix and is used in studies that rely on the quantitatively accurate and reproducible measurement of proteins across multiple samples. It requires the one-time, a priori generation of a specific measurement assay for each targeted protein. SWATH-MS is a mass spectrometric method th ...[more]

PMID: 25977788

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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.

Dataset Information

Hs_PanLibrary_LNCaP

Publications

A repository of assays to quantify 10,000 human proteins by SWATH-MS.

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