Proteogenomic Analysis of Candida glabrata using High Resolution Mass Spectrometry

Candida glabrata is a common opportunistic human pathogen leading to significant mortality in immunosuppressed and immunodeficient individuals. We carried out proteomic analysis of C. glabrata using high resolution Fourier transform mass spectrometry with MS resolution of 60000 and MS/MS resolution...

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Bibliographic Details
Published in:Journal of proteome research 2012-01, Vol.11 (1), p.247-260
Main Authors: Prasad, T. S. Keshava, Harsha, H. C, Keerthikumar, Shivakumar, Sekhar, Nirujogi Raja, Selvan, Lakshmi Dhevi N, Kumar, Praveen, Pinto, Sneha M, Muthusamy, Babylakshmi, Subbannayya, Yashwanth, Renuse, Santosh, Chaerkady, Raghothama, Mathur, Premendu P, Ravikumar, Raju, Pandey, Akhilesh
Format: Article
Language:English
Subjects:
Amino Acid Sequence
Candida glabrata - genetics
Candida glabrata - metabolism
Codon, Initiator
Fourier Analysis
Fungal Proteins - chemistry
Fungal Proteins - genetics
Fungal Proteins - metabolism
Gene Expression
Molecular Sequence Annotation
Molecular Sequence Data
Peptide Fragments - chemistry
Peptide Mapping
Proteome - chemistry
Proteome - genetics
Proteome - metabolism
Proteomics
Reverse Transcriptase Polymerase Chain Reaction
Tandem Mass Spectrometry
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Summary:Candida glabrata is a common opportunistic human pathogen leading to significant mortality in immunosuppressed and immunodeficient individuals. We carried out proteomic analysis of C. glabrata using high resolution Fourier transform mass spectrometry with MS resolution of 60000 and MS/MS resolution of 7500. On the basis of 32453 unique peptides identified from 118815 peptide–spectrum matches, we validated 4421 of the 5283 predicted protein-coding genes (83%) in the C. glabrata genome. Further, searching the tandem mass spectra against a six frame translated genome database of C. glabrata resulted in identification of 11 novel protein coding genes and correction of gene boundaries for 14 predicted gene models. A subset of novel protein-coding genes and corrected gene models were validated at the transcript level by RT-PCR and sequencing. Our study illustrates how proteogenomic analysis enabled by high resolution mass spectrometry can enrich genome annotation and should be an integral part of ongoing genome sequencing and annotation efforts.
ISSN:1535-3893
1535-3907
DOI:10.1021/pr200827k