Skip to main content

Proteomic dataset of Candida albicans (ATCC 10231) Biofilm



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.

Peer Review reports


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


  • 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.

Data availability

The mass spectrometry proteomic data have been deposited to the ProteomeXchange consortium via the MassIVE partner repository with the dataset accession number MSV000091018 [8].


  1. Tsui C, Kong EF, Jabra-Rizk MA. Pathogenesis of Candida albicans biofilm. Pathog Dis. 2016;74:ftw018.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Gulati M, Nobile CJ. Candida albicans biofilms: development, regulation, and molecular mechanisms. Microbes Infect. 2016;18:310–21.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Abdulghani M, Iram R, Chidrawar P, Bhosle K, Kazi R, Patil R et al. Proteomic profile of Candida albicans biofilm. J Proteom. 2022;265 September 2021:104661.

  4. Liu Y, Chen J, Sethi A, Li QK, Chen L, Collins B, et al. Glycoproteomic analysis of prostate cancer tissues by SWATH mass spectrometry discovers N-acylethanolamine acid amidase and protein tyrosine kinase 7 as signatures for tumor aggressiveness. Mol Cell Proteomics. 2014;13:1753–68.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Haverland NA, Fox HS, Ciborowski P. Quantitative proteomics by SWATH-MS reveals altered expression of nucleic acid binding and regulatory proteins in HIV-1-infected macrophages. J Proteome Res. 2014;13:2109–19.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Collins BC, Gillet LC, Rosenberger G, Röst HL, Vichalkovski A, Gstaiger M, et al. Quantifying protein interaction dynamics by SWATH mass spectrometry: application to the 14-3-3 system. Nat Methods. 2013;10:1246–53.

    Article  CAS  PubMed  Google Scholar 

  7. Gillet LC, Navarro P, Tate S, Röst H, Selevsek N, Reiter L, et al. Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis. Mol Cell Proteomics. 2012;11:1–17.

    Article  Google Scholar 

  8. Zore G, Abdulghani M. Biofilm responsive proteins of Candida albicans ATCC10231. MassIVE. 2023.

    Article  Google Scholar 

Download references


Authors are thankful to Dr. Udhav Bhosle, Honorable Vice Chancellor, SRTM University, Nanded (MS) India for his encouragement and constant support. Dr. Mahesh Kulkarni, CSIR-NCL, Pune is thanked for availing infrastructural 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.


This research received no external funding.

Author information

Authors and Affiliations



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

Corresponding author

Correspondence to Mazen Abdulghani.

Ethics declarations


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.

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zore, G., Abdulghani, M., Kazi, R. et al. Proteomic dataset of Candida albicans (ATCC 10231) Biofilm. BMC Res Notes 16, 155 (2023).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Candida albicans
  • Biofilm
  • Proteomics
  • LC-MS/MS