MassIVE MSV000100777

Partial Public

Chilling Truth: The Effects of Storage Temperature on the Metabolic Profiles of Food

Subscribe Comment Reanalyze Spectra Add Reanalysis

Description

Food is a chemically complex matrix comprised of macronutrients, micronutrients, and thousands of small, bioactive metabolites. Emerging omics technologies have revealed that these metabolites influence flavor, nutritional quality, and human health. Yet, many bioactive small molecules associated with beneficial health outcomes are chemically labile, making appropriate sample preservation critical. Following existing standards from clinical research, storage at -80 C is widely used in foodomics to minimize enzymatic activity and metabolite degradation. Yet, the viability of these conditions to the biological and chemical diversity of food has yet to be rigorously evaluated. This study investigates how storage temperature affects the stability of metabolites in eleven different foods: cocoa powder, milk chocolate, ground beef, apple, carrot, beet leaf, beet root, potato, and both uncooked and cooked rice. Prepared food samples were divided for storage at 25 C, 4 C, and -20 C, with -80 C samples serving as a baseline. Samples were collected at three and six months from each storage condition to assess metabolite stability over time. Analysis of all samples was performed by nontargeted metabolomics and targeted LC-PDA analysis of carotenoids. Our results showed that metabolite stability was matrix dependent, with some foods (i.e. provide food names) showing significant variation in global metabolome profiles while others (i.e. provide food names) had no observable differences. Collectively, these findings suggest that sample preservation is essential for maintaining metabolite integrity in food matrices and must be carefully considered to ensure accurate characterization of food metabolic profiles. [doi:10.25345/C5CR5NS2J] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: metabolomics ; Periodic Table of Food Initiative (PTFI) ; food ; storage ; DatasetType:Metabolomics ; DatasetType:Other (LC-PDA)

Contact

Principal Investigators:
(in alphabetical order) 		Jessica Prenni, Colorado State University, United States
Submitting User: mtodenki
Number of Files:
Total Size:
Spectra:
Subscribers:
 
Owner Reanalyses
Experimental Design
    Conditions:
    Biological Replicates:
    Technical Replicates:
 
Identification Results
    Proteins (Human, Remapped):
    Proteins (Reported):
    Peptides:
    Variant Peptides:
    PSMs:
 
Quantification Results
    Differential Proteins:
    Quantified Proteins:
 
Browse Dataset Files
 
FTP Download Link (click to copy):

Species

Instrument

Modifications

- Dataset Reanalyses

+ Dataset History

Click here to queue conversion of this dataset's submitted spectrum files to open formats (e.g. mzML). This process may take some time.

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.