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Proteogenomic analysis of pathogenic yeast Cryptococcus neoformans using high resolution mass spectrometry
Authors:Lakshmi Dhevi Nagarajha Selvan  Jyothi Embekkat Kaviyil  Raja Sekhar Nirujogi  Babylakshmi Muthusamy  Vinuth N Puttamallesh  Tejaswini Subbannayya  Nazia Syed  Aneesha Radhakrishnan  Dhanashree S Kelkar  Sartaj Ahmad  Sneha M Pinto  Praveen Kumar  Anil K Madugundu  Bipin Nair  Aditi Chatterjee  Akhilesh Pandey  Raju Ravikumar  Harsha Gowda  Thottethodi Subrahmanya Keshava Prasad
Institution:1. Institute of Bioinformatics, International Technology Park, Bangalore, 560 066, India
2. Amrita School of Biotechnology, Amrita University, Kollam, 690 525, India
3. Department of Neuromicrobiology, National Institute of Mental Health and Neuro Sciences, Bangalore, 560 029, India
4. Centre of Excellence in Bioinformatics, School of Life Sciences, Pondicherry University, Puducherry, 605 014, India
5. Department of Biochemistry and Molecular Biology, School of Life Sciences, Pondicherry University, Puducherry, 605 014, India
6. Manipal University, Madhav Nagar, Manipal, 576 104, India
10. Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
7. McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
8. Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
9. Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
Abstract:

Background

Cryptococcus neoformans, a basidiomycetous fungus of universal occurrence, is a significant opportunistic human pathogen causing meningitis. Owing to an increase in the number of immunosuppressed individuals along with emergence of drug-resistant strains, C. neoformans is gaining importance as a pathogen. Although, whole genome sequencing of three varieties of C. neoformans has been completed recently, no global proteomic studies have yet been reported.

Results

We performed a comprehensive proteomic analysis of C. neoformans var. grubii (Serotype A), which is the most virulent variety, in order to provide protein-level evidence for computationally predicted gene models and to refine the existing annotations. We confirmed the protein-coding potential of 3,674 genes from a total of 6,980 predicted protein-coding genes. We also identified 4 novel genes and corrected 104 predicted gene models. In addition, our studies led to the correction of translational start site, splice junctions and reading frame used for translation in a number of proteins. Finally, we validated a subset of our novel findings by RT-PCR and sequencing.

Conclusions

Proteogenomic investigation described here facilitated the validation and refinement of computationally derived gene models in the intron-rich genome of C. neoformans, an important fungal pathogen in humans.
Keywords:Fungal infection  Fungal genomics  Antifungal drugs  Cryptococcal meningitis  Computational prediction  Genome annotation
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