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Proteomic responses of Candida glabrata to acetate as the sole carbon source

ABSTRACT: The responses of Candida glabrata grown in acetate-containing growth medium was investigated by label-free quantitative proteomic analysis using the liquid chromatography–mass spectrometry.

INSTRUMENT(S): Q Exactive

ORGANISM(S): [candida] Glabrata Cbs 138

DISEASE(S): Candidiasis

SUBMITTER: Leslie Than

LAB HEAD: Leslie Thian Lung Than

PROVIDER: PXD014916 | Pride | 2021-01-08

REPOSITORIES: Pride

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			Action	DRS
	UPM_Leslie_Than_Proteome_Glu_Ace.mzML	Mzml
	UPM_Leslie_Than_Proteome_Glu_Ace.mzid.gz	Mzid
	UPM_Leslie_Than_Proteome_Glu_Ace.pride.mgf.gz	Mgf
	UPM_Leslie_Than_Proteome_Glu_Ace.pride.mztab.gz	Mztab
	UPM_Leslie_Than_Proteome_Glu_Ace_20180815_A1.raw	Raw

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Publications

Transcriptomic and proteomic profiling revealed reprogramming of carbon metabolism in acetate-grown human pathogen Candida glabrata.

Chew Shu Yih SY Brown Alistair J P AJP Lau Benjamin Yii Chung BYC Cheah Yoke Kqueen YK Ho Kok Lian KL Sandai Doblin D Yahaya Hassan H Than Leslie Thian Lung LTL

Journal of biomedical science 20210102 1

<h4>Background</h4>Emergence of Candida glabrata, which causes potential life-threatening invasive candidiasis, has been widely associated with high morbidity and mortality. In order to cause disease in vivo, a robust and highly efficient metabolic adaptation is crucial for the survival of this fungal pathogen in human host. In fact, reprogramming of the carbon metabolism is believed to be indispensable for phagocytosed C. glabrata within glucose deprivation condition during infection.<h4>Method ...[more]

PMID: 33388061

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Expression analysis of Candida glabrata CBS138 delta-cnb1, delta-crz1, delta-slt2, and delta-ire1 mutants in response to tunicamycin exposure (Transcriptional response of Candida glabrata to tunicamycin exposure)

Project description:Investigation of whole genome gene expression level changes in response to tunicamycin, an inhibitor of protein N-glycosylation, in Candida glabrata CBS138 delta-cnb1, delta-crz1, delta-slt2, and delta-ire1 mutants, compared to the wild-type strain. The mutations engineered into these strains render them hypersusceptible to tunicamycin. The mutants analyzed in this study are further described in Miyazaki, T. et al. (2010) Antimicrob Agents Chemother. 54(4):1639-1643 (PMID: 20100876) and Miyazaki, T. et al. (2010) FEMS Yeast Res 10(3):343-352, 2010 (PMID: 20214686). A fifteen chip study using total RNA isolated from Candida glabrata wild-type control and four mutant strains, in which the entire ORFs of CNB1 (XP_448800), CRZ1 (XP_449644), SLT2 (XP_447735), or IRE1 (XP_446111) are deleted. Each chip measures the expression level of 5,217 genes from Candida glabrata CBS138 with six 60-mer-probe pairs per gene, with two-fold technical redundancy.

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Label-free quantitative proteomics in Candida yeast species: technical and biological replicates to asses data reproducibility

Project description:Objective Label-free quantitative proteomics has emerged as a powerful strategy to obtain high quality quantitative measures of the proteome with only a very small quantity of total protein extract. Because our research projects were requiring the application of bottom-up shotgun Mass Spectrometry proteomics in the pathogenic yeasts Candida glabrata and Candida albicans, we performed preliminary experiments to i) obtained a precise list of all the proteins for which measures of abundance could be obtain and ii) assess the reproducibility of the results arising respectively from biological and technical replicates. Data description C. glabrata and C. albicans cells were grown in minimal liquid medium. Three independent time-courses were performed simultaneously, in each species, and an alkaline pH stress was induced for two of them. Cells were collected 10 and 60 minutes after stress induction and proteins were extracted. They were analysed and quantified two time by mass spectrometry. Our final dataset thus comprises label-free quantitative proteomics results for 24 samples (two species, three time-courses, two time points and two runs of mass spectrometry). Statistical procedures were applied to identify proteins with differential abundances between stressed and unstressed situations. Considering that C. glabrata and C. albicans are human pathogens which face important pH fluctuations during a human host infection, this dataset has a potential value to other researchers in the field.

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