Dataset Information

Creation of a Candida albicans spectral library by Data Dependent Acquisition (DDA)

ABSTRACT: The incidence of candidiasis, caused mainly by the opportunistic fungal Candida albicans, remains a major concern in public health due to the emerging antifungal resistance. C. albicans modulates their proteome under different conditions trying to cope with several stressors in host niches. In this study we developed a C. albicans spectral library by analysing a total of 52 samples corresponding to cells treated with 5 and 10 mM hydrogen peroxide, 40 and 60 mM acetic acid and in the interaction with human macrophages (THP-1) at 3, 6 and 9 h (4 biological replicates). This samples represented several morphologies of C. albicans (yeast and hypha) and different culture conditions (temperature, media…) that contributed to the incorporation of different proteins into the library. The analysis of these conditions by DDA mode allowed the construction of a C. albicans spectral library comprising information of 2879 proteins and 25645 peptides which entailed a 46.5% of the total proteome. The C. albicans spectral library created constitutes a powerful proteomic tool available for the scientific community and could be useful for global (DIA) or targeted (SRM and PRM) studies.

INSTRUMENT(S): Q Exactive Plus

ORGANISM(S): Candida Albicans (yeast)

TISSUE(S): Cell Culture

SUBMITTER: Eduardo Romeu

LAB HEAD: Concha Gil García

PROVIDER: PXD020195 | Pride | 2021-09-30

REPOSITORIES: Pride

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Publications

Extending the Proteomic Characterization of Candida albicans Exposed to Stress and Apoptotic Inducers through Data-Independent Acquisition Mass Spectrometry.

Amador-García Ahinara A Zapico Inés I Borrajo Ana A Malmström Johan J Monteoliva Lucía L Gil Concha C

mSystems 20211005 5

Candida albicans is a commensal fungus that causes systemic infections in immunosuppressed patients. In order to deal with the changing environment during commensalism or infection, C. albicans must reprogram its proteome. Characterizing the stress-induced changes in the proteome that C. albicans uses to survive should be very useful in the development of new antifungal drugs. We studied the C. albicans global proteome after exposure to hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) and acetic a ...[more]

PMID: 34609160

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Project description:Meningitis is a life-threatening condition characterized by the inflammation of the leptomeningeal membranes surrounding the brain and spinal cord. The term meningitis is an umbrella term and includes several different etiologies. The majorities of meningitis cases are caused by viruses (viral meningitis; VM) and are often associated with low mortality rates and low risk of developing neurological. In contrast, meningitis caused by some viral infections, such as tick-borne encephalitis (TBE), can be life-threatening when left untreated with increased risk of developing neurological sequelae. Acute bacterial meningitis (ABM), however, is one of the leading causes of death due to infectious diseases worldwide and is associated with rapid disease progression, high mortality rates and increased risk of long-term neurological sequelae in survivors. As meningitis is caused by numerous different pathogens, the host-response is typically highly variable and it is currently unknown if different pathogens can introduce specific proteome changes in the cerebrospinal fluid (CSF). In this study we applied DIA-MS to provide novel insights for in-depth understanding of central nervous system functioning and host response during meningitis in a cohort of patients with differential diagnosis of meningitis, to account for variability contributed by different disease-causing pathogens. The results reveal drastic changes in the CSF proteome during meningitis, where in particular a massive increase of neutrophil derived proteins in the CSF correlated with ABM, suggesting that activated neutrophils play a particular role in ABM. Additionally both ABM and VM result in marked reduction of brain-specific proteins in the CSF, which could be indicative of pathophysiological mechanisms leading to brain damage. Furthermore, generation of lasso regression model enables separation of ABM with high sensitivity and specificity, demonstrating that several proteins are required to confidently discriminate between ABM, VM and BM.

Dataset Information

Creation of a Candida albicans spectral library by Data Dependent Acquisition (DDA)

Publications

Extending the Proteomic Characterization of Candida albicans Exposed to Stress and Apoptotic Inducers through Data-Independent Acquisition Mass Spectrometry.

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