MassIVE MSV000097809

Partial Public PXD063663

Specificity profiling of SARS-CoV-2 PLpro using proteome-derived libraries of linear peptides suggests secondary preference for basic motifs

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Description

This deposit contains the primary datasets and code underlying our study "Specificity profiling of SARS-CoV-2 PLpro using proteome-derived peptide libraries suggests secondary preference for basic motifs." In this work, we combined proteome-derived Identification of Cleavage Sites (PICS) workflows, using both NHS-acetate and TMT labeling, with intact-lysate N-terminomics to map cleavage preferences of the SARS-CoV-2 papain-like protease (PLpro). [doi:10.25345/C5599ZD9W] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: SARS-CoV-2 Papain-Like Protease ; Substrate Specificity ; PICS (Proteomic Identification of Cleavage Sites) ; TMT Quantitative Proteomics ; Dibasic Cleavage Motif ; DatasetType:Proteomics

Contact

Principal Investigators:
(in alphabetical order) 		Prof. Oliver Schilling, Institute for Surgical Pathology, University Medical Center Freiburg, Germany
Submitting User: Daniel_Vogele
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Experimental Design
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Identification Results
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Quantification Results
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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.

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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.

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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.

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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.

"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.

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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.

"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.