MassIVE MSV000088080

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The 2020 ABRF Beer Study: beer proteomics at the global scale

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Description

Beer is one of the oldest and most widely consumed beverages in the world. It contains a complex mixture of proteins from several organisms including plants (barley, hops, rice, wheat) and yeast, depending on the beer. It has been argued that fermentation of grains was responsible for our shift away from being a hunter-gatherer society, leading to social and technological advancements over thousands of years, including mass spec-based proteomics. The Proteomics Research Group (PRG) in the Association of Biomolecular Resource Facilities brought together an international consortium of proteomics laboratories (69 laboratories from 33 countries) to perform beer proteomics. An aliquot of specially brewed beer from the UC Davis Brewing Program was sent to 52 labs, and participants were encouraged to also use a widely available commercial beer (Heineken) and any other beer. Of the 69 laboratories that signed up for the study, 35 returned data. Of these, 32 analyzed the PRG Beer and 17 analyzed Heineken (14 analyzed both). When shipping of the PRG Beer was prohibitive, participants were encouraged to use Heineken due to its global availability and perceived quality control. Participants were also encouraged to analyze other beers of their choosing, and 79 other beers were analyzed. In total there were 357 beer injections on 13 different types of mass spectrometers around the world. In addition to helping connect scientists in trying times, we have also demonstrated the utility of multi-center studies with accessible materials. [doi:10.25345/C5GG2F] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: beer ; ABRF ; PRG ; Association of Biomolecular Resource Facilities

Contact

Principal Investigators:
(in alphabetical order) 		Benjamin Neely, NIST, USA
Brett Phinney, University of California, Davis, USA
Submitting User: prg_abrf
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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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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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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.
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