MassIVE MSV000090627

Partial Public

The ADP ribosylation factors interactome (ARFome) in human cell lines

Description

We performed a 24h proximity labeling (BioID) of 28 constitutively active human ARFs to define the global ARFome, captured in native cellular micro-environments. This approach allowed us to reveal the landscape of ARF effectors and to define the specificity of ARF GAPs. Because our BioID provides a 24h history of protein interactions, we interrogated the repertoire of candidate localizations of these proteins to localize the ARFs functions at better resolution. Finally, we discovered a potentially new coat complex recruited via the newly identified PLD1 activator ARL14 on endosomes for retrograde traffic. [doi:10.25345/C50K26G6S] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: BioID ; ADP ribosylation factors (ARFs) ; Proximity labeling

Contact

Principal Investigators:
(in alphabetical order)
Jean-Francois Cote, IRCM, Canada
Submitting User: Monod
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Identification Results
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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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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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