ArticleOmics : a journal of integrative biology2016
Proteogenomics of Candida tropicalis--An Opportunistic Pathogen with Importance for Global Health.
Article in Omics : a journal of integrative biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 17 citations in OpenAlex.
- Review
- Carbon substrates promotes stress resistance and drug tolerance in clinical isolates of Candida tropicalis.Archives of microbiology · 2024Article
- DissectingACS omega · 2022Article
- Article
- Copper-only superoxide dismutase enzymes and iron starvation stress inThe Journal of biological chemistry · 2020Article
- Combination of Proteogenomics with PeptidemBio · 2019Article
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Authors and funding
20 authors at 12 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The frequency of Candida infections is currently rising, and thus adversely impacting global health. The situation is exacerbated by azole resistance developed by fungal pathogens. Candida tropicalis is an opportunistic pathogen that causes candidiasis, for example, in immune-compromised individuals, cancer patients, and those who undergo organ transplantation. It is a member of the non-albicans group of Candida that are known to be azole-resistant, and is frequently seen in individuals being treated for cancers, HIV-infection, and those who underwent bone marrow transplantation. Although the genome of C. tropicalis was sequenced in 2009, the genome annotation has not been supported by experimental validation. In the present study, we have carried out proteomics profiling of C. tropicalis using high-resolution Fourier transform mass spectrometry. We identified 2743 proteins, thus mapping nearly 44% of the computationally predicted protein-coding genes with peptide level evidence. In addition to identifying 2591 proteins in the cell lysate of this yeast, we also analyzed the proteome of the conditioned media of C. tropicalis culture and identified several unique secreted proteins among a total of 780 proteins. By subjecting the mass spectrometry data derived from cell lysate and conditioned media to proteogenomic analysis, we identified 86 novel genes, 12 novel exons, and corrected 49 computationally-predicted gene models. To our knowledge, this is the first high-throughput proteomics study of C. tropicalis validating predicted protein coding genes and refining the current genome annotation. The findings may prove useful in future global health efforts to fight against Candida infections.
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