Dataset Information

Hs_Spleen_chymotrypsin

ABSTRACT: Hs_Spleen_chymotrypsin

REANALYSIS of: PXD000865

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Spleen

SUBMITTER: Wilhelm et al.

PROVIDER: PAe004749 | PeptideAtlas | 2014-12-31

REPOSITORIES: PeptideAtlas

ACCESS DATA

Publications

Mass-spectrometry-based draft of the human proteome.

Wilhelm Mathias M Schlegl Judith J Hahne Hannes H Gholami Amin Moghaddas AM Lieberenz Marcus M Savitski Mikhail M MM Ziegler Emanuel E Butzmann Lars L Gessulat Siegfried S Marx Harald H Mathieson Toby T Lemeer Simone S Schnatbaum Karsten K Reimer Ulf U Wenschuh Holger H Mollenhauer Martin M Slotta-Huspenina Julia J Boese Joos-Hendrik JH Bantscheff Marcus M Gerstmair Anja A Faerber Franz F Kuster Bernhard B

Nature 20140501 7502

Proteomes are characterized by large protein-abundance differences, cell-type- and time-dependent expression patterns and post-translational modifications, all of which carry biological information that is not accessible by genomics or transcriptomics. Here we present a mass-spectrometry-based draft of the human proteome and a public, high-performance, in-memory database for real-time analysis of terabytes of big data, called ProteomicsDB. The information assembled from human tissues, cell lines ...[more]

PMID: 24870543

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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_Spleen_chymotrypsin

Publications

Mass-spectrometry-based draft of the human proteome.

Similar Datasets

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