MassIVE MSV000082710

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Metabolomics Workbench ST000244 - GNPS - Metabolomic Diagnosis in Horse

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Description

In this project we will investigate the feasibility of metabolomics and to characterize the diversity of ?metabotypes? in the horse, towards discovery of markers and pathways associated with obesity and insulin resistance in the equine model. The collaborative team of researchers assembled for this work have identified horses severely affected with Equine Metabolic syndrome, often characterized by obesity and hyperinsulinemia. These animals are all from the Arabian breed, to control for some genetic background. Horses are age, sex and farm of residence matched with a control animal whenever possible. Carefully controlled collection protocols were utilized to ensure minimal variability in sample age and quality. Blood plasma is submitted for both global LC-MS analysis through the SECIM core facilities. This discovery-based approach will begin to generate new targets for the development of novel therapeutic interventions for the treatment and prevention of obesity, type-2 diabetes as well as related secondary conditions in both humans and horses. Finally, as the first dataset of its kind in the horse, we may also be able to highlight promising new biomarkers for veterinary diagnostic use. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Metabolomics Workbench ; ST000244 ; comparison

Contact

Principal Investigators:
(in alphabetical order) 		Samantha Brooks, University of Florida, N/A
Submitting User: ccms
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Identification Results
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Quantification Results
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When complete, the converted files will be available in the "ccms_peak" subdirectory of the dataset's FTP space (accessible via the "FTP Download" link to the right).
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.

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

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

"N/A" means no results of this type were submitted.
Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

"N/A" means no results of this type were submitted.
Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

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