Proteomic dataset of Candida albicans (ATCC 10231) Biofilm

Abstract

Objectives

The ability to form biofilm is considered as one of major virulence factors of Candida albicans, as biofilms form growth confers antifungal resistance and facilitate immune evasion. It is intriguing to understand morphophysiological modulations in the C. albicans cells growing under biofilm form growth.

Data description

In present study, we have profiled biofilm-specific proteins using LC-MS/MS analysis. Whole cell proteins of C. albicans cells grown under biofilm form growth (test) and planktonic (control) growth for 24 h were extracted, digested and identified using micro-Liquid Chromatography-Mass Spectrometry (LC-MS/MS). The present data represents proteomic profile (SWATH Spectral Libraries) of C. albicans biofilm intended to be useful to scientific community as it exhibits reuse potential.

Objective

Treatment of Candida albicans biofilm infection is difficult because of the cells’ variable sensitivity to antifungal drugs and host immunological response [1, 2]. Considering the clinical significance of biofilm form growth of C. albicans, understanding morphophysiological changes is prerequisite to devising a strategy to treat C. albicans infections. This data provides important insights into the morphophysiological modulations in C. albicans (ATCC 10231) cells during biofilm form growth. We induce biofilm-specific proteins for C. albicans cells grown in RPMI-1640 liquid medium. Our final dataset comprises quantitative proteome for biofilm form growth [3]. We believe it would be beneficial for researchers, either to the scientific community who is exploring regulation of microbial biofilm growth as well as clinicians who are trying to understand and treat C. albicans. It will also help in understanding mechanism of immune evasion, AMR etc., of biofilms of other microorganisms.

Data description

This is a raw data set of our research article describing our findings on morphophysiological and molecular architectural modulations in C. albicans (ATCC 10231) cells during biofilm form growth [3]. Spectral library is generated using SWATH-MS workflow [4,5,6,7]. Peptides from treatment and control samples (biofilm and planktonic cells) were pooled together to get information-dependent acquisition (IDA) file which was used to generate the spectral library. Further, spectral library was used to get a list of differentially expressed proteins among test and control samples from SWATH acquisitions. Overall, one dataset was associated to this paper note (Table 1). Data set comprises, scatter plot of differentially expressed proteins during biofilm form growth, an expression analysis of all proteins and proteins were considered significantly modulated during biofilm form growth as per following criteria viz. P-value < 0.05 and fold change ≥ 2 fold. Further, functional annotation using (Candida Genome Database (CGD), Saccharomyces Genome Database (SGD), David software and UniProt Databases) was performed and shown in our research article [3]. Note that detailed description of sample processing protocol can be found in [3].

Table 1 Overview of data set related to the present study of proteomic dataset of Candida albicans (ATCC10231) biofilm

Limitations

• Current data is of in vitro grown C. albicans biofilm.

• The data is generated using micro-LC-MS and thus the resolution is slightly less compared to other high resolution platforms like nano-LC-MS/MS data.