MassIVE MSV000094197

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Quantitative proteomic analysis reveals unique Hsp90 cycle-dependent client interactions

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Description

Quantitative proteomics data from DIA-MS experiments of soluble proteins in lysates of yeast expressing either Hsc82-WT or nine different temperature-sensitive alleles. [doi:10.25345/C5Z60CC93] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: DIA ; DIA-MS ; Hsp90 ; Mutant ; cochaperone ; molecular chaperone

Contact

Principal Investigators:
(in alphabetical order) 		Jill Johnson, University of Idaho, United States of America
Submitting User: Erick_Rios2

Publications

Erick I. Rios, Davi Gonçalves, Kevin A. Morano, and Jill L. Johnson.
Quantitative proteomic analysis reveals unique Hsp90 cycle-dependent client interactions.
Genetics. (submitted).

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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 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.

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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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