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Proteome dataset of Candida albicans (ATCC10231) opaque cell

BMC Research Notes volume 17, Article number: 2 (2024) Cite this article

Abstract

Objectives

Candida albicans, a polymorphic yeast, is one of the most common, opportunistic fungal pathogens of humans. Among the different morphological forms, opaque form is one of the least-studied ones. This opaque phenotype is essential for mating and is also reported to be involved in colonizing the gastrointestinal tract. Considering the significance of the clinical and sexual reproduction of C. albicans, we have investigated the morphophysiological modulations in opaque form using a proteomic approach.

Data description

In the current investigation, we have used Micro-Liquid Chromatography-Mass Spectrometry (LC-MS/MS) analysis to create a protein profile for opaque-specific proteins. Whole-cell proteins from C. albicans (ATCC10231) cells that had been cultured for seven days on synthetic complete dextrose (SCD) medium in both as an opaque (test) and as a white (control) form cells were extracted, digested, and identified using LC-MS/MS. This information is meant to serve the scientific community and represents the proteome profile (SWATH Spectral Libraries) of C. albicans opaque form.

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Objective

Candida albicans is a polymorphic, opportunistic pathogen of humans that exists in various morphological forms and sizes, including yeast, hyphae, pseudohyphae, chlamydospores, and white and opaque cells and in two different forms of growth, i.e., planktonic and biofilms [1,2,3,4,5,6]. This is the first study presenting an opaque cell-specific proteome dataset. Opaque form of C. albicans is still one of the least studied morphological forms of C. albicans [7]. Not many studies are available on the pathogenicity, metabolic preferences, mating abilities, interactions with the host’s innate immune system, and sensitivity to environmental cues of opaque cells [7, 8]. Thus, it is an attempt to understand the morphophysiology of opaque form and its significance, especially in virulence and immune evasion is crucial. These results provide important insights into understanding the morphophysiological modulations in C. albicans (ATCC10231) opaque form growth using synthetic complete dextrose (SCD) medium. Quantitative proteomics for opaque form growth is included in our final article [6]. It would be helpful for the scientific community to investigate the regulation of phenotypic switching in C. albicans. It will also aid in studying how C. albicans evade the immune system.

Data description

This is the raw data from our published study on the changes in morphophysiology and molecular architecture under opaque form of C. albicans (ATCC10231) [6]. The SWATH-MS (Sequential Window Acquisition of all Theoretical fragment ion spectra Mass Spectrometry) method creates a spectral library [9,10,11,12]. Information-dependent acquisition (IDA) files were obtained from combined peptide data of both forms of growth (opaque and white) and were used to create the spectral library. Further, the spectral library was used to get a list of differentially expressed proteins among test (opaque) and control (white) growth through SWATH acquisition. The details of the datasets linked to this article are given in Table 1. The dataset includes an expression analysis of all proteins under both the forms of growth. In addition to this, the functional annotation was carried out using CGD (Candida Genome Database), SGD (Saccharomyces Genome Database), David software, and UniProt Databases [6]. A detailed procedure for sample preparation is given in our article [6].

Table 1 Overview of data set related to the proteomic dataset of opaque form growth of Candida albicans
Full size table

Limitations

  • Current data is of in vitro growth of C. albicans opaque form growth.

  • The micro-LC-MS platform used to generate the data has a lower resolution than nano-LC-MS/MS data or other high-resolution platforms.

Data Availability

Mass spectrometry proteomic data were submitted to the MassIVE partner repository of the ProteomeXchange project and given the dataset accession number MSV000090980 [13] (https://doi.org/10.25345/C5BC3T662).

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Acknowledgements

The authors are thankful to Prof. Anand Bhalerao, Vice Chancellor, Central University of Rajasthan and Dr. Udhav Bhosle, Vice Chancellor, SRTM University, Nanded (MS) India, for providing laboratory and infrastructure support as well as constant encouragement and support. Dr. Mahesh Kulkarni, CSIR-NCL, Pune is thanked for availing LC-MS/MS facility. DST India and UGC, Govt. of India is thanked for infrastructural support to School of Life Sciences under DST-FIST I and UGC SAP DRS II, respectively.

Funding

This research received no external funding.

Author information

Authors and Affiliations

  1. Dept. of Biotechnology, School of Life Sciences, Central University of Rajasthan, Ajmer, Bandersindri NH 8, Kishangarh Dist Ajmer (Rajasthan), India

    Gajanan Zore

  2. School of Life Sciences, Swami Ramanand Teerth Marathwada University, Nanded, 431606, MS, India

    Mazen Abdulghani & Santosh Kodgire

  3. Division of Biochemical Sciences, CSIR-NCL, Pune-8, Pune, MS, India

    Rubina Kazi

  4. Department of Biotechnology, Savitribai Phule Pune University, Ganeshkhind, Pune, 411007, MS, India

    Amruta Shelar & Rajendra Patil

Authors
  1. Gajanan Zore
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  2. Mazen Abdulghani
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  3. Santosh Kodgire
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  4. Rubina Kazi
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  5. Amruta Shelar
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  6. Rajendra Patil
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Contributions

GZ, MA conceptualized the idea, designed microbiological experiments and performed microbiological experiments; MA, SK, AS, RP and RK performed protein extractions, mass spectrometry experiments and analyzed data. GZ and MA wrote MS.

Corresponding author

Correspondence to Mazen Abdulghani.

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The authors declare no competing interests.

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Zore, G., Abdulghani, M., Kodgire, S. et al. Proteome dataset of Candida albicans (ATCC10231) opaque cell. BMC Res Notes 17, 2 (2024). https://doi.org/10.1186/s13104-023-06661-z

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BMC Research Notes

ISSN: 1756-0500

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