MassIVE MSV000080861

Imported Reanalysis Dataset Public PXD003082

A proteome analysis by LC-MS/MS of human colon mucosal biopsies from gastrointestinal healthy rheumatoid arthritis patients

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Description

The joint disease rheumatoid arthritis (RA) is characterized by persistent synovitis, leading to cartilage damage, bone erosion, and ultimately impaired joint function. The disease affects 0.5 to 1.0% of adults in developed countries, and is three times more frequent in women than in men. A number of autoantibodies can be detected in RA patient’s serum targeting the patient’s own proteins. Several of these proteins, including rheumatoid factor, can also be detected in patients suffering from other autoimmune diseases, including the inflammatory bowel diseases (IBD). IBD and RA share several genetic risk logi, an altered gut microbiota, and environmental risk factors. Articular involvement is the most common extra-intestinal manifestation in patients diagnosed with IBD, with a prevalence between 17 to 39%. Additionally, methotrexate (MTX) is the most frequently prescribed immunosuppressive drug for RA and the second most for the IBD, indicating close similarities between the two diseases. We, therefore, characterized the protein content (the proteome) of the colon mucosa of gastrointestinal healthy RA patients, to investigate if we could detect IBD-related changes. The LC-MS/MS analysis was conducted as part of a previous study (ProteomeXChange submission PXD001608), enabling a comparison between the two datasets, containing the colon mucosal proteome of 11 RA patients, 10 IBD (ulcerative colitis) patients, and 10 controls. This data submission covers the triplicate proteome analysis of the colon mucosa of 11 gastrointestinal healthy RA patients. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Human ; colon ; mucosa ; rheumatoid arthritis ; gastrointestinal healthy ; LC-MSMS ; proteomics

Contact

Principal Investigators:
(in alphabetical order) 		Allan Stensballe, The Laboratory for Medical Mass Spectrometry Department of Health Science and Technology Aalborg University Denmark, N/A
Submitting User: ccms

Publications

Bennike TB, Ellingsen T, Glerup H, Bonderup OK, Carlsen TG, Meyer MK, Bøgsted M, Christiansen G, Birkelund S, Andersen V, Stensballe A.
Proteome Analysis of Rheumatoid Arthritis Gut Mucosa.
J. Proteome Res. 2017 Jan 6;16(1):346-354. Epub 2016 Sep 27.

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Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

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Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.