Dataset Information

Hs_PanLibrary_HEK293_OGE

ABSTRACT: Hs_PanLibrary_HEK293_OGE

REANALYSIS of: PXD000953

INSTRUMENT(S): TripleTOF 5600

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Others

SUBMITTER: Rosenberger G, et al.

PROVIDER: PAe005450 | 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: Extra-articular manifestations of rheumatoid arthritis (RA), potentially due to systemic inflammation, include cardiovascular disease and sarcopenic obesity. Adiponectin, an adipose-derived cytokine, has been implicated in inflammatory processes in RA, but little is known regarding its association with inflammation in a pre-clinical period. Therefore, we investigated whether adiponectin was associated with inflammatory markers in individuals at risk for RA, and whether RA-related autoimmunity modifies these associations. Methods: We analyzed samples from 144 first-degree relatives (FDRs) of RA probands, of whom 23 were positive for anti-cyclic citrullinated peptide antibody and/or ≥ 2 rheumatoid factor isotypes (IgM, IgG or IgA). We called this phenotype the ‘high risk autoantibody profile (HRP)’ as it has been shown in prior work to be >96% specific for future RA. We measured adiponectin, cytokines/chemokines, and high-sensitivity C-reactive protein (hsCRP). Using linear mixed effects models, we evaluated interaction between HRP positivity and adiponectin on inflammatory markers, adjusting for age, sex, ethnicity, body mass index, pack-years smoking, and use of cholesterol-lowering medications. Results: In everyone, adiponectin concentration was inversely associated with hsCRP and IL-1b in adjusted models, where a 1% higher adiponectin was associated with a 26% lower hsCRP (p=0.04) and a 26% lower IL-1b (p=0.04). Significant interactions between HRP and adiponectin for associations with GM-CSF, IL-6, and IL-9 were detected in fully adjusted models (p=0.0006, p=0.006, p=0.01, respectively). In HRP positive FDRs but not HRP negative FDRs, a 1% higher adiponectin was associated with 97% higher GM-CSF, 73% higher IL-6, and 54% higher IL-9 concentrations. Conclusions: Adiponectin associates with inflammatory markers, and these associations differ in individuals with a high-risk autoantibody profile compared with those without. The interaction between adiponectin and autoimmunity may occur systemically, rather than at the joint, which may provide insight into the systemic effects of RA-related autoantibodies and inflammation in the absence of clinically apparent RA.

Project description:Epitope mapping studies aim to identify the binding sites of antibody-antigen interactions to enhance the development of vaccines, diagnostics and immunotherapeutic compounds. However, mapping is a laborious process employing time- and resource-consuming ‘wet bench’ techniques or epitope prediction software that are still in their infancy. For polymorphic antigens, another challenge is characterizing cross-reactivity between epitopes, teasing out distinctions between broadly cross-reactive responses, limited cross-reactions among variants and the truly type-specific responses. A refined understanding of cross-reactive antibody binding could guide the selection of the most informative subsets of variants for diagnostics and multivalent subunit vaccines. We explored the antibody binding reactivity of sera from human patients and Peromyscus leucopus rodents infected with Borrelia burgdorferi to the polymorphic outer surface protein C (OspC), an attractive candidate antigen for vaccine and improved diagnostics for Lyme disease. We constructed a protein microarray displaying 23 natural variants of OspC and quantified the degree of cross-reactive antibody binding between all pairs of variants, using Pearson correlation calculated on the reactivity values using three independent transforms of the raw data: (1) logarithmic, (2) rank, and (3) binary indicators. We observed that the global amino acid sequence identity between OspC pairs was a poor predictor of cross-reactive antibody binding. Then we asked if specific regions of the protein would better explain the observed cross-reactive binding and performed in silico screening of the linear sequence and 3-dimensional structure of OspC. This analysis pointed to the C-terminal helix of the structure as a major determinant of type-specific cross-reactive antibody binding. We developed bioinformatics methods to systematically analyze the relationship between local sequence/structure variation and cross-reactive antibody binding patterns among variants of a polymorphic antigen, and this method can be applied to other polymorphic antigens for which immune response data is available for multiple variants.

Dataset Information

Hs_PanLibrary_HEK293_OGE

Publications

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

Similar Datasets

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