MassIVE MSV000098860

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Proteasome regulation of petite-negativity in fission yeast

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Description

In this data set, fission yeast (Schizosaccharomyces pombe) are used to investigate petite-positive mutation ptp1-1 derived mitochondrial ubiquitin-dependent degradation. [doi:10.25345/C5RV0DD1S] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: fission yeast ; proteasome ; mitochondrial genome ; ubiquitin-proteasome regulation ; petite-positive mutation ptp1-1 ; DatasetType:Metabolomics

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Principal Investigators:
(in alphabetical order) 		Mikel Zaratiegui, Department of Molecular Biology and Biochemistry, Division of Life Sciences, School of Arts and Science. Rutgers, the State University of New Jersey, USA
Submitting User: enchiles
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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 protein accessions 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.

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