MassIVE MSV000090844

Partial Public

Proteomic analysis of canine vaccines

Description

To use proteomic analysis to qualitatively and quantitatively identify mammalian protein components of commercial veterinary vaccines against canine distemper, leptospirosis, borreliosis, and rabies. A total of 25 licensed veterinary vaccines (from 4 different manufacturers) against canine distemper and leptospirosis, borreliosis, and rabies (3 year and 1 year duration of immunity) were analyzed. Duplicate samples from a single lot vial of each vaccine were prepared by acetone precipitation and proteolysis with trypsin and lysC protease mix. Peptides mixtures (one microgram) were analyzed by LC-MS using Orbitrap Fusion Lumos mass spectrometer. LC-MS data were searched against a Bos taurus protein database using MaxQuant to identify and quantify mammalian proteins in the vaccines. Protein classification and network analysis was performed of iIdentified proteins were classified by function and network analysis to visualize interactions. The largest number of mammalian proteins was identified in 3-year rabies vaccines (median 243, range 184-339) and 1 year rabies vaccines (median 193, range 169-350). Borrelia and leptospirosis-distemper (L and D) vaccines had the lowest number of proteins. Rabies vaccines had the largest number of identified proteins in common (316), 33 were unique to 1 year and 44 in 3 year products. Borrelia and L and D vaccines had 16 and 22 uniquely identified proteins, respectively. The protein classifications were primarily as modulators of protein-binding activity, enzymes, transfer/carrier proteins, cytoskeletal proteins, defense or immunity proteins, calcium-binding proteins, and extracellular matrix proteins. [doi:10.25345/C5TQ5RJ87] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: leptospirosis ; rabies ; albumin ; proteomics

Contact

Principal Investigators:
(in alphabetical order)
George Moore, Purdue University, United States
Submitting User: uma_aryal
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Experimental Design
    Conditions:
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Identification Results
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Quantification Results
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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.

Distinct replicate labels are counted across all files submitted in the "Metadata" category having a "BioReplicate" or "Replicate" column in this dataset.

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

The technical replicate count is defined as the maximum number of times any one distinct combination of condition and biological replicate was analyzed across all files submitted in the "Metadata" category. In the case of fractionated experiments, only the first fraction is considered.

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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.

"N/A" means no results of this type were submitted.
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.