MassIVE MSV000089314

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Chemoproteomic analysis to reveal the identities of engaged proteins by photo-caged benzaldehyde.

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Description

Data files associated with manuscript titled "Temporal control of protein labeling by photo-caged benzaldehyde motif and discovery of host cell factors of avian influenza virus infection". we applied our probes for unbiased host-pathogen interaction factor discovery for avian influenza (AI) virus. These Chemoproteomics analysis illustrate that the unbiased fishing strategy using photo-activated benzaldehyde probes has potential to open up a novel biomarker discovery. [doi:10.25345/C5G44HV24] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Chemoproteomics ; avian influenza

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Principal Investigators:
(in alphabetical order) 		Jun-Seok Lee, Korea University College of Medicine, republic of korea
Submitting User: KyungTaeHong
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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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