Comparative proteomic analysis of Candida albicans and Candida glabrata

Thottethodi Subrahmanya Keshava Prasad, Shivakumar Keerthikumar, Raghothama Chaerkady, Kumaran Kandasamy, Santosh Renuse, Arivusudar Marimuthu, Abhilash Karavattu Venugopal, Joji Kurian Thomas, Harrys K.C. Jacob, Renu Goel, Harsh Pawar, Nandini A. Sahasrabuddhe, Venkatarangaiah Krishna, Bipin G. Nair, Marjan Gucek, Robert N. Cole, Raju Ravikumar, H. C. Harsha, Akhilesh Pandey

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Introduction: Candida albicans and Candida glabrata are the two most common opportunistic pathogens which are part of the normal flora in humans. Clinical diagnosis of infection by these organisms is still largely based on culturing of these organisms. In order to identify species-specific protein expression patterns, we carried out a comparative proteomic analysis of C. albicans and C. glabrata. Methods: We used "isobaric tag for relative and absolute quantitation" (iTRAQ) labeling of cell homogenates of C. albicans and C. glabrata followed by LC-MS/MS analysis using a quadrupole time-of-flight mass spectrometer. The MS/MS data was searched against a protein database comprised of known and predicted proteins reported from these two organisms. Subsequently, we carried out a bioinformatics analysis to group orthologous proteins across C. albicans and C. glabrata and calculated protein abundance changes between the two species. Results and Conclusions: We identified 500 proteins from these organisms, the large majority of which corresponded to predicted transcripts. A number of proteins were observed to be significantly differentially expressed between the two species including enolase (Eno1), fructose-bisphosphate aldolase (Fba1), CCT ring complex subunit (Cct2), pyruvate kinase (Cdc19), and pyruvate carboxylase (Pyc2). This study illustrates a strategy for investigating protein expression patterns across closely related organisms by combining orthology information with quantitative proteomics.

Original languageEnglish (US)
Pages (from-to)163-173
Number of pages11
JournalClinical Proteomics
Volume6
Issue number4
DOIs
StatePublished - Dec 1 2010
Externally publishedYes

Fingerprint

Candida glabrata
Candida
Candida albicans
Proteomics
Proteins
Pyruvate Carboxylase
Protein Databases
Fructose-Bisphosphate Aldolase
Pyruvate Kinase
Phosphopyruvate Hydratase
Protein C
Computational Biology
Mass spectrometers
Pathogens
Bioinformatics
Labeling
Infection

Keywords

  • Biomarker
  • Candidemia
  • Candidiasis
  • Fungal infection
  • Medical mycology
  • Molecular diagnostics
  • Quantitative proteomics

ASJC Scopus subject areas

  • Molecular Medicine
  • Molecular Biology
  • Clinical Biochemistry

Cite this

Prasad, T. S. K., Keerthikumar, S., Chaerkady, R., Kandasamy, K., Renuse, S., Marimuthu, A., ... Pandey, A. (2010). Comparative proteomic analysis of Candida albicans and Candida glabrata. Clinical Proteomics, 6(4), 163-173. https://doi.org/10.1007/s12014-010-9057-9

Comparative proteomic analysis of Candida albicans and Candida glabrata. / Prasad, Thottethodi Subrahmanya Keshava; Keerthikumar, Shivakumar; Chaerkady, Raghothama; Kandasamy, Kumaran; Renuse, Santosh; Marimuthu, Arivusudar; Venugopal, Abhilash Karavattu; Thomas, Joji Kurian; Jacob, Harrys K.C.; Goel, Renu; Pawar, Harsh; Sahasrabuddhe, Nandini A.; Krishna, Venkatarangaiah; Nair, Bipin G.; Gucek, Marjan; Cole, Robert N.; Ravikumar, Raju; Harsha, H. C.; Pandey, Akhilesh.

In: Clinical Proteomics, Vol. 6, No. 4, 01.12.2010, p. 163-173.

Research output: Contribution to journalArticle

Prasad, TSK, Keerthikumar, S, Chaerkady, R, Kandasamy, K, Renuse, S, Marimuthu, A, Venugopal, AK, Thomas, JK, Jacob, HKC, Goel, R, Pawar, H, Sahasrabuddhe, NA, Krishna, V, Nair, BG, Gucek, M, Cole, RN, Ravikumar, R, Harsha, HC & Pandey, A 2010, 'Comparative proteomic analysis of Candida albicans and Candida glabrata', Clinical Proteomics, vol. 6, no. 4, pp. 163-173. https://doi.org/10.1007/s12014-010-9057-9
Prasad TSK, Keerthikumar S, Chaerkady R, Kandasamy K, Renuse S, Marimuthu A et al. Comparative proteomic analysis of Candida albicans and Candida glabrata. Clinical Proteomics. 2010 Dec 1;6(4):163-173. https://doi.org/10.1007/s12014-010-9057-9
Prasad, Thottethodi Subrahmanya Keshava ; Keerthikumar, Shivakumar ; Chaerkady, Raghothama ; Kandasamy, Kumaran ; Renuse, Santosh ; Marimuthu, Arivusudar ; Venugopal, Abhilash Karavattu ; Thomas, Joji Kurian ; Jacob, Harrys K.C. ; Goel, Renu ; Pawar, Harsh ; Sahasrabuddhe, Nandini A. ; Krishna, Venkatarangaiah ; Nair, Bipin G. ; Gucek, Marjan ; Cole, Robert N. ; Ravikumar, Raju ; Harsha, H. C. ; Pandey, Akhilesh. / Comparative proteomic analysis of Candida albicans and Candida glabrata. In: Clinical Proteomics. 2010 ; Vol. 6, No. 4. pp. 163-173.
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T1 - Comparative proteomic analysis of Candida albicans and Candida glabrata

AU - Prasad, Thottethodi Subrahmanya Keshava

AU - Keerthikumar, Shivakumar

AU - Chaerkady, Raghothama

AU - Kandasamy, Kumaran

AU - Renuse, Santosh

AU - Marimuthu, Arivusudar

AU - Venugopal, Abhilash Karavattu

AU - Thomas, Joji Kurian

AU - Jacob, Harrys K.C.

AU - Goel, Renu

AU - Pawar, Harsh

AU - Sahasrabuddhe, Nandini A.

AU - Krishna, Venkatarangaiah

AU - Nair, Bipin G.

AU - Gucek, Marjan

AU - Cole, Robert N.

AU - Ravikumar, Raju

AU - Harsha, H. C.

AU - Pandey, Akhilesh

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N2 - Introduction: Candida albicans and Candida glabrata are the two most common opportunistic pathogens which are part of the normal flora in humans. Clinical diagnosis of infection by these organisms is still largely based on culturing of these organisms. In order to identify species-specific protein expression patterns, we carried out a comparative proteomic analysis of C. albicans and C. glabrata. Methods: We used "isobaric tag for relative and absolute quantitation" (iTRAQ) labeling of cell homogenates of C. albicans and C. glabrata followed by LC-MS/MS analysis using a quadrupole time-of-flight mass spectrometer. The MS/MS data was searched against a protein database comprised of known and predicted proteins reported from these two organisms. Subsequently, we carried out a bioinformatics analysis to group orthologous proteins across C. albicans and C. glabrata and calculated protein abundance changes between the two species. Results and Conclusions: We identified 500 proteins from these organisms, the large majority of which corresponded to predicted transcripts. A number of proteins were observed to be significantly differentially expressed between the two species including enolase (Eno1), fructose-bisphosphate aldolase (Fba1), CCT ring complex subunit (Cct2), pyruvate kinase (Cdc19), and pyruvate carboxylase (Pyc2). This study illustrates a strategy for investigating protein expression patterns across closely related organisms by combining orthology information with quantitative proteomics.

AB - Introduction: Candida albicans and Candida glabrata are the two most common opportunistic pathogens which are part of the normal flora in humans. Clinical diagnosis of infection by these organisms is still largely based on culturing of these organisms. In order to identify species-specific protein expression patterns, we carried out a comparative proteomic analysis of C. albicans and C. glabrata. Methods: We used "isobaric tag for relative and absolute quantitation" (iTRAQ) labeling of cell homogenates of C. albicans and C. glabrata followed by LC-MS/MS analysis using a quadrupole time-of-flight mass spectrometer. The MS/MS data was searched against a protein database comprised of known and predicted proteins reported from these two organisms. Subsequently, we carried out a bioinformatics analysis to group orthologous proteins across C. albicans and C. glabrata and calculated protein abundance changes between the two species. Results and Conclusions: We identified 500 proteins from these organisms, the large majority of which corresponded to predicted transcripts. A number of proteins were observed to be significantly differentially expressed between the two species including enolase (Eno1), fructose-bisphosphate aldolase (Fba1), CCT ring complex subunit (Cct2), pyruvate kinase (Cdc19), and pyruvate carboxylase (Pyc2). This study illustrates a strategy for investigating protein expression patterns across closely related organisms by combining orthology information with quantitative proteomics.

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KW - Fungal infection

KW - Medical mycology

KW - Molecular diagnostics

KW - Quantitative proteomics

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