MassIVE MSV000097378

Partial Public PXD062040

GNPS Proximity labeling identification of plasma membrane eisosome proteins in Candida albicans

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Description

The ability of Candida albicans to resist stressful conditions in the host and grow invasively into tissues contributes to the virulence of this human fungal pathogen. Plasma membrane subdomains known as MCC (Membrane Compartment of Can1) or eisosomes are important for these processes. MCC/eisosome domains are furrow-shaped invaginations of the plasma membrane that are about 250 nm long and 50 nm deep. Two proteins that localize to these domains, Sur7 and Lsp1, are critical for virulence. Identifying additional proteins that localize to MCC/eisosomes has been hindered by the technical challenges of working with membrane proteins. Therefore, the proximity labeling method TurboID was used to identify MCC/eisosome proteins in C. albicans. Candidate proteins were identified by fusing a variant of BirA known as TurboID to either Sur7 or Lsp1, to promote biotinylation of nearby proteins. Analysis of 19 of these proteins by tagging with the Green Fluorescent Protein (GFP) identified 7 proteins that detectably overlapped with MCC/eisosomes. Deletion mutant analysis showed that one of these, a poorly studied protein known as Ker1, was important for hyphal growth in liquid culture, invasive growth into agar medium, and resistance to stress caused by copper and cell wall perturbing agents. Altogether, these approaches identified novel MCC/eisosome proteins and show that TurboID can be applied to better define the molecular mechanisms of C. albicans pathogenesis and aid in discovery of targets novel therapeutic strategies. [doi:10.25345/C5KP7V40G] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Candida albicans TurboID ; DatasetType:Proteomics

Contact

Principal Investigators:
(in alphabetical order) 		James B. Konopka, Stony Brook University, United States
Submitting User: jhaley55
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GNPS content goes here (MSV000097378 [task=6dcfca871c164d97a59546d22b471a3e])
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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.

"N/A" means no results of this type were submitted.
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.

"N/A" means no results of this type were submitted.
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.

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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.
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.