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Original Article
Proteomic Analysis of Intracellular and Membrane Proteins From Voriconazole-Resistant Candida glabrata
Jae Il Yooa, Hwa Su Kima, Chi Won Choib, Jung Sik Yooa, Jae Yon Yua, Yeong Seon Leea
Osong Public Health and Research Perspectives 2013;4(6):293-300.
DOI: https://doi.org/10.1016/j.phrp.2013.10.001
Published online: October 12, 2013

aDivision of Antimicrobial Resistance, Korea National Institute of Health, Osong, Korea

bProteome Research Team, Korea Basic Science Institute, Daejeon, Korea

∗Corresponding author. yslee07@nih.go.kr
• Received: September 23, 2013   • Revised: September 30, 2013   • Accepted: October 2, 2013

© 2013 Published by Elsevier B.V. on behalf of Korea Centers for Disease Control and Prevention.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • Objectives
    The proteomic analysis of voriconazole resistant Candida glabrata strain has not yet been investigated. In this study, differentially expressed proteins of intracellular and membrane fraction from voriconazole-susceptible, susceptible dose-dependent (S-DD), resistant C. glabrata strains were compared with each other and several proteins were identified.
  • Methods
    The proteins of intracellular and membrane were isolated by disrupting cells with glass bead and centrifugation from voriconazole susceptible, S-DD, and resistant C. glabrata strains. The abundance of expressed proteins was compared using two-dimensional sodium dodecyl sulfate polyacrylamide gel electrophoresis and proteins showing continuous twofold or more increase or reduction of expression in resistant strains compared to susceptible and S-DD strain were analyzed by liquid chromatography/mass spectrometry-mass spectrometry method.
  • Results
    Of 34 intracellular proteins, 15 proteins showed expression increase or reduction (twofold or more). The identified proteins included regulation, energy production, carbohydrate transport, amino acid transport, and various metabolism related proteins. The increase of expression of heat shock protein 70 was found. Among membrane proteins, 12, 31 proteins showed expression increase or decrease in the order of susceptible, S-DD, and resistant strains. This expression included carbohydrate metabolism, amino acid synthesis, and response to stress-related proteins. In membrane fractions, the change of expression of 10 heat shock proteins was observed, and 9 heat shock protein 70 (Hsp70) showed the reduction of expression.
  • Conclusion
    The expression of Hsp70 protein in membrane fraction is related to voriconazole resistant C. glabrata strains.
Fungal infection in humans is increasing; Candida species are the most frequently reported organisms. Approximately 95% of all invasive Candida infections are caused by five species: Candida albicans, Candida glabrata, Candida parapsilosis, Candida tropicalis, and Candida krusei [1]. Among the Candida species, C. albicans is the most prevalent in both healthy patients and those with infection [2,3]. Recently, the four non-C. albicans species were found to be more frequently isolated in humans than C. albicans [4]. C. glabrata was the second most common non-C. albicans species in fungemia in the United States and also most commonly recovered from the oral cavities of patients with human immunodeficiency virus [5]. The increase in the number of C. glabrata systemic infections is cause for concern because the high mortality rate associated with C. glabrata fungemia [6]. Because fungal infections are increasing, the use of antifungal agents has correspondingly increased. In particular, fluconazole is a highly effective antifungal agent used for the treatment of candidiasis. Voriconazole is a triazole derivative of fluconazole, and the activity for Candida may be better than that of fluconazole. However, the widespread and prolonged use of fluconazole in recent years has led to the development of drug resistance in Candida species [7,8]. In addition, the resistance of Candida to fluconazole is highly predictive of resistance to voriconazole agent. The observation of cross-resistance in C. glabrata strains receiving fluconazole and voriconazole therapy of C. glabrata in patients with candidemia was reported [9]. The resistant mechanisms to azole antifungal agents have been studied in C. albicans [10–12]. However, C. glabrata has an intrinsic resistant tendency to fluconazole, and the molecular basis for the intrinsically low susceptibility of C. glabrata remains unclear. Several mechanisms of acquired resistance to the azole antifungal agents have been described in C. glabrata. These include upregulation of genes encoding adenosine triphosphate (ATP) binding cassette (ABC) transporters encoded by CDR1 and CDR2 [13]. Overexpression of ERG11, the gene encoding the target of the azole antifungal agents, has also been associated with acquired azole resistance [14]. Recently, proteomic analysis of azole-susceptible and -resistant Candida isolates was accomplished to understand the mechanisms underlying azole antifungal resistance [12,15]. Proteomic analysis has also been used to study the adaptive response of C. albicans to fluconazole and itraconazole [16]. Currently, no proteomic analysis exists for voriconazole resistant C. glabrata strain. So, we analyzed the expression of proteins of voriconazole-susceptible, susceptible dose-dependent (S-DD), and resistant strains to investigate proteins associated with voriconazole resistance.
2.1 C. glabrata strains and growth conditions
A total of 56 C. glabrata strains collected from tertiary and nontertiary hospitals were used in this study. We previously reported the results of an antifungal susceptibility test [17]. We selected three C. glabrata strains according to voriconazole susceptibility for a comparative proteomic study. All strains were stored at –80 °C, and prior to the experiment each strain was subcultured twice on sabouraud dextrose agar to ensure viability and purity. For the proteomic experiment, an aliquot of glycerol stock from each strain was diluted in yeast peptone dextrose (YPD; 1% yeast extract, 2% peptone, 1% dextrose) and grown overnight at 30 °C in a shaking incubator. The cultures were diluted to an optical density 0.2 at OD600 in 0.5 L of YPD and grown to the exponential phase of growth.
2.2 Cellular protein extraction
To isolate the cellular proteins, C. glabrata cells were cultured in YPD broth at 30 °C to the exponential phase of growth. Cells were harvested in centrifugation 4000 rpm for 15 minutes. The pellet cells were pooled and washed twice using 50 mM Tris-HCl pH 7.6 buffer solution. The cells were disrupted using 0.45-μm glass beads (Sigma, St. Louis, MO, USA) on ice. After homogenization, the solution was centrifuged twice at 14,000 rpm for 20 minutes. The supernatant was harvested carefully without contaminant similar to a lipid component, and it was freeze dried for further experiment.
2.3 Membrane protein extraction
After an exponential phase of growth, cells were harvested, washed with distilled water, and resuspended in homogenizing buffer (50 mM Tris-HCl, pH 7.5, 2 mM EDTA, 1 mM phenylmethylsulfonylfluoride). After disruption of the cell using the glass bead, cell debris and unbroken cells were removed by centrifugation at 5000 g for 10 minutes. A crude membrane fraction was isolated from the cell-free supernatant by second centrifugation at 30,000 g for 30 minutes. The pellet was washed in GTE buffer (10 mM Tris-HCl, pH 7.0, 0.5 mM EDTA, 20% glucose), resuspended in GTE buffer, and stored at –80 °C. The protein concentration was determined by a micro-Bradford assay using a protein assay kit II (Bio-Rad, Hercules, CA, USA).
2.4 Sample preparation and 2-Dimentional Gel Electrophoresis
The harvested samples were suspended in 0.5 mL of 50 mM Tris buffer containing 7 M urea, 2 M thiourea, 4% [weight/volume (w/v)] CHAPS, and 16 μL protease inhibitor cocktail (Roche Molecular Biochemicals, Indianapolis, IN, USA). The lysates were homogenized and centrifuged at 12,000 × g for 15 minutes. Fifty units of Benzonase (250 units/μL; Sigma) was added to the mixture and suitably stored at −80 °C until use after quantitation by the Bradford method. For 2-DE analysis, pH 3–10 immobilized pH gradient (IPG) strips (Amersham Biosciences, UK, Ltd) were rehydrated in swelling buffer containing 7 M urea, 2 M thiourea, 0.4% (w/v) Dithiothreitol, and 4% (w/v) CHAPS. The protein lysates (500 μg) were cup-loaded into the rehydrated IPG strips using a Multiphor II apparatus (Amersham Biosciences, UK, Ltd) for a total of 57 kVh. The two-dimensional separation was performed on 8–16% (v/v) linear gradient sodium dodecyl sulfate (SDS)-polyacrylamide gels. Following fixation of the gels for 1 hour in a solution of 40% (v/v) methanol containing 5% (v/v) phosphoric acid, the gels were stained with Colloidal Coomassie Blue G-250 solution for 5 hours. The gels were destained in 1% (v/v) acetic acid for 4 hours and then imaged using a GS-710 imaging calibrated densitometer (Bio-Rad).
Protein spot detection and two-dimensional pattern matching were carried out using ImageMasterTM 2D Platinum software (Amersham Biosciences, UK, Ltd). For comparison of protein spot densities between control and treated samples, more than 20 spots throughout all gels were correspondingly landmarked and normalized. The quantified spots of candidate proteins were compared with the aid of histograms. For ensuring the reproducibility of 2DE experiments, each sample was analyzed in duplicate.
2.5 In-gel protein digestion
Protein bands of interest were excised and digested in-gel with sequencing grade, modified trypsin (Promega, Madison, WI, USA). In brief, each protein spot was excised from the gel, placed in a polypropylene tube, and washed four to five times with 150 μL of 1:1 acetonitrile/25 mM ammonium bicarbonate, pH 7.8. The gel was dried in a Speedvac concentrator, and then rehydrated in 30 μL of 25 mM ammonium bicarbonate, pH 7.8, containing 20 ng of trypsin. After incubation at 37 °C for 20 hours, the liquid was transferred to a new tube. Tryptic peptides remaining in the gel matrix were extracted for 40 min at 30 °C with 20 μL of 50% (v/v) aqueous acetonitrile containing 0.1% (v/v) formic acid. The combined supernatants were evaporated in a Speedvac concentrator and dissolved in 8 μL of 5% (v/v) aqueous acetonitrile solution containing 0.1% (v/v) formic acid for mass spectrometric analysis.
2.6 Identification of proteins by liquid chromatograph/tandem mass spectrometry
The resulting tryptic peptides were separated and analyzed using reversed phase capillary high-performance liquid chromatography (HPLC) directly coupled to a Finnigan LCQ ion trap mass spectrometer [liquid chromatography-tandem mass spectrometry (LC-MS/MS)]. A 0.1 × 20 mm trapping and a 0.075 × 130 mm resolving column were packed with Vydac 218 MS low trifluoroacetic acid C18 beads (5 μm in size, 300 Å in pore size; Vydac, Hesperia, CA, USA) and placed in-line. Next, the peptides were bound to the trapping column for 10 minutes with 5% (v/v) aqueous acetonitrile containing 0.1% (v/v) formic acid, then the bound peptides were eluted with a 50-minute gradient of 5-80% (v/v) acetonitrile containing 0.1% (v/v) formic acid at a flow rate of 0.2 μL/min. For tandem mass spectrometry, a full mass scan range mode was m/z = 450–2000 Da. After determination of the charge states of an ion on zoom scans, product ion spectra were acquired in MS/MS mode with relative collision energy of 55%. The individual spectra from MS/MS were processed using the TurboSEQUEST software (Thermo Quest, San Jose, CA). The generated peak list files were used to query either the MSDB database or National Center for Biotechnology Information (NCBI) using the MASCOT program (http://www.matrixscience.com). Modifications of methionine and cysteine, peptide mass tolerance at 2 Da, MS/MS ion mass tolerance at 0.8 Da, allowance of missed cleavage at 2, and charge states (+1, +2, and +3) were taken into account. Only significant hits as defined by MASCOT probability analysis were initially considered.
3.1 Strains
Among the C. glabrata strains, voriconazole susceptible strain [C. glabrata I-49, minimum inhibitory concentration (MIC) 0.5 μg/mL], S-DD strain (C. glabrata D-54, MIC 2 μg/mL) and resistant strain (C. glabrata D-91, MIC 4 μg/mL) were selected. All strains were isolated from blood specimen of patients.
3.2 Expression of intracellular proteins and identification
The two-dimensional sodium dodecyl sulfate polyacrylamide gel electrophoresis (2D-SDS PAGE) gels are shown in Figure 1. The profiling of 459 intracellular proteins was detected in three strains. Of the total proteins, 38 proteins having abundance ratios of twofold or more showed continuous increase of expression from susceptible and S-DD to resistant strain. In addition, 34 proteins were identified by LC-MS/MS (Table 1). The 15 proteins showing decrease of expression from susceptible and S-DD to resistant strain were also identified. Among the identified proteins, aldehyde dehydrogenase family, serine hydroxymethyltransferase, acetolactate synthase, heat shock protein, pyruvate kinase, potassium efflux protein, isocitrate dehydrogenase, and other proteins showed increased expression. Expression was decreased in proteins such as glycerol-3-phosphate dehydrogenase, ATP synthase, acetyl-coA hydrolase, oxidoreductase, and malate dehydrogenases (Table 1). Among the proteins for which expression was decreased, phosphoglycerate kinase protein showed the largest decreased expression, at 9.09 times reduction of expression. The identified proteins, classified according to their function, are summarized in Table 2. The functional category showed that the identified proteins were cell regulation, energy production, carbohydrate transport, amino acid transport, and various metabolism-related proteins.
3.3 Expression of membrane proteins and identification
A total of 329 membrane proteins were resolved by 2D gel electrophoresis. Of the 17 spots (differential ratio twofold or more) for which expression was increased, 12 proteins were identified. The identified proteins showed enolase, heat shock protein 70, pyruvate kinase, cysteine synthase, pyruvate decarboxylase, pyrophosphate requiring enzyme, regulatory modules in signal transduction, and phosphoglycerate kinase (Table 3). Among the identified proteins, phosphate requiring enzymes showed the most increased expression (3.66 times). Enolase and phosphoglycerate kinase proteins also showed 2.69 and 2.77 times increased expression, respectively. Thirty-seven spots showed decreased expression in the order of susceptible, S-DD, and resistant strains. Among the 37 spots, 31 proteins were identified. The identified membrane proteins included heat shock protein 70, aldehyde dehydrogenase, nicotinamide adenine dinucleotide phosphate-glutamate dehydrogenase, phosphoglycerate mutase I, glutamine aminotransferase, superoxide dismutase, Stm1 protein, phosphoglycerate kinase, and others. A total of 12 heat shock proteins were observed and heat shock protein 70 was 11. In addition, 9 heat shock protein 70 showed the deceased expression in resistant strain compared to susceptible and S-DD strain. The identified membrane proteins were classified into carbohydrate metabolism, amino acid synthesis, and response to stress-related proteins (Table 4).
C. glabrata is a major opportunistic fungal pathogen of humans and also part of the gastrointestinal microflora in many healthy human beings [1]. The most effective classes of antifungal agents used to treat C. glabrata infections are the azoles agents, specifically fluconazole and voriconazole [9]. However, the occurrence of azole-resistant strains resulted in a difficulty of treatment. Currently, the available information of voriconazole resistance in protein levels is sparse. In this study, we compared the expression changes of proteins using the voriconazole susceptible, S-DD, and resistant strains. The results of proteomic analysis showed the tendency of expression increase (38 proteins) was observed in intracellular fractions of resistant strain compared to membrane fraction of susceptible and S-DD strain (17 proteins). The membrane fraction of resistant strain had the tendency of expression decrease (37 proteins) compared to intracellular fraction of susceptible and S-DD strains (18 proteins). The results indicated that the metabolism process is continuously increased from voriconazole susceptible to S-DD, resistant strain but the biochemical reaction may be decreased in membrane fraction to endure the antifungal stress environment. Among the identified proteins, heat shock protein was observed in various spots of intracellular and membrane fractions. Usually, heat shock protein is known as a stress and response related protein. In this study, the expression increase of heat shock protein in intracellular proteins of voriconazole resistant strain was observed in three spots, but 9 heat shock 70 protein showed decreased expression in membrane proteins. This finding indicated that heat shock protein 70 is related to voriconazole resistance. Among the C. albicans triazole resistance mechanisms, the molecular chaperone Hsp90 is known to share a correlation. The Hsp90 protein stabilizes calcineurin, thereby enabling calcineurin-dependent stress responses that are required for triazole tolerance of Candida strains [18]. In this study, the heat shock protein identified most often was Hsp70 protein, and 9 Hsp70 proteins showed a decrease of expression in membrane fraction, but the exact mechanism with voriconazole resistance needs more investigation. Among the identified membrane proteins, expression of DnaK and Stml protein was reduced in voriconazole resistant strains compared with S-DD and susceptible strains. These proteins are related to protein posttranslation modification and apoptosis, respectively. There has been little information of voriconazole resistance in C. glabrata strain, so the proteomic investigation can be useful information for further study.
Acknowledgements
This study was supported by an intramural research grant from the Korea Centers for Disease Control and Prevention (grant no: 2006-N44002-00)

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 1
Cellular and membrane protein spot of C. glabrata strains resolved by 2D gel electrophoresis. Spots representing differentially expressed proteins that were identified by LC-Ms/Ms peptide mass fingerprinting. (a) cellular protein spot of voriconazole susceptible strain, (b) cellular protein spot of voriconazole SDD strain, (c) cellular protein spot of fluconazole susceptible strain, (d) membrane protein spot of voriconazole susceptible strain, (e) membrane protein spot of voriconazole SDD strain, (f) membrane protein spot of voriconazole resistant strain.
gr1
Table 1
Differentially expressed intracellular proteins (by twofold or more), as identified by liquid chromatography-tandem mass spectrometry between voriconazole susceptible, susceptible dose-dependent, and voriconazole resistant strains
Spot Protein Molecular mass (Dalton) pI Fold change (R/S)a
25 C1-tetrahydrofolate synthase 102,203 5.98 3.09
27 Formyltetrahydrofolate synthetase (FTHFS) 102,203 5.98 2.06
79 ACO1 aconitate hydratase aconitase 85,429 6.78 2.53
90 Potassium efflux protein KefA 73,694 5.41 2.05
115 Sphingolipid long-chain base sensory protein 40,387 5.54 2.27
116 TKL1 transketolase 73,704 6.01 2.50
127 Heat shock protein 70 112,540 7.87 3.5
189 2.15
540 2.13
154 Acetolactate synthase 73,300 8.55 2.41
202 LEU4 2-isopropylmalalate synthase 67,290 5.52 2.51
218 Acetyl-CoA hydrolase/transferase N-terminal domain 58,541 6.16 2.38
228 Phosphoribosylaminoimidazole carboxylase 62,672 6.95 4.42
238 Pyruvate kinase 55,563 6.25 2.66
263 Pyruvate decarboxylase and related thiamine pyrophosphate-requiring enzymes 61,726 5.59 3.94
295 Aldehyde dehydrogenase family 55,937 5.09 2.03
304 SES1 seryl-transcription RNA synthetase 52,775 5.8 2.19
319 Iinosine monophosphate dehydrogenase 56,969 6.69 2.86
396 Serine hydroxymethyltransferase 52,271 6.74 3.1
397 3.6
411 GDP dissociation inhibitor 50,582 5.66 3.02
476 Protein with specific affinity for G4 quadruplex nucleic acids 42,134 8.61 2.33
504 Isocitrate dehydrogenase 46,728 5.23 2.52
505 spP36046 Saccharomyces cerevisiae YKL195w 44,592 4.45 2.78
507 Chromosome segregation adenosine triphosphatases (ATPases) 55,271 8.81 14.1
535 Malate dehydrogenases (MDH) glycosomal and mitochondrial 39,024 6.15 2.42
550 Cyclophilin_ABH_like 41,620 5.61 2.2
560 Aspartate/tyrosine/aromatic aminotransferase 45,608 7.2 2.73
576 Quinone reductase and related Zn-dependent oxidoreductases 40,823 6.01 2.24
603 Branched-chain aminotransferase 41,550 5.82 2.58
619 Highly similar to S. cerevisiae YBR249c ARO4 38,617 6.51 2.24
636 RPC40 DNA-directed RNA polymerase I 37,577 5.22 2.05
645 S. cerevisiae YGR080w 36,175 5.02 3.49
777 Peptidase_S8 (serine proteinase) 50,008 5.75 2.25
107 Glycerol-3-phosphate dehydrogenase 43,961 5.85 −2.82
142 TKL1 transketolase 73,704 6.01 −3.57
321 F0F1 ATP synthase 58,485 8.99 −2.46
454 Effector domain of the CAP family of transcription factors 44,936 5.92 −2.14
570 Acetyl-CoA hydrolase −2.53
609 Oxidoreductases 46,710 5.76 −2.4
613 −3.75
615 Malate dehydrogenases glycosomal and mitochondrial 40,487 9.18 −2.14
625 Phosphoglycerate kinase 44,590 6.37 −8.90
628 Arginase 35,061 5.27 −3.13
633 Highly similar to spP53252 S. cerevisiae YGR086c 35,129 4.68 −3.03
723 Uncharacterized enzymes related to aldose 1-epimerase 33,397 5.06 −3.15
774 −2.07
909 Hypothetical protein CAGL0I00616g 2,183 5.37 −9.09
912 ATP synthase D chain, mitochondrial (ATP5H) 19,918 6.64 −2.73

a Expression ration of voriconazole-resistant (R) over voriconazole-susceptible (S) strains. The minus sign (−) indicates decreased protein expression of voriconazole-resistant strains in comparison with voriconazole-susceptible strains.

Table 2
Functional classification of identified intracellular proteins from voriconazole susceptible, susceptible dose-dependent, and resistant strains
Protein Function
Cell regulation
 Similar with bacterial potassium efflux protein KefA Regulate iron balance
 Sphingolipid long chain base sensory protein Cell wall, antifungal protection
 Heat shock protein 70, 90, 60 Stress, protein folding
 SES1 seryl-transcription RNA (tRNA) synthetase Catalyze the formation of aminoacyl-tRNA
 GDP dissociation inhibitor GTP binding protein regulator
 similar to Saccharomyces cerevisiae YKL195w Promotes retention of newly imported proteins
 Chromosome segregation adenosine triphosphatases (ATPases) Cell division
 Highly similar to S. cerevisiae YGR086c Unknown function that are induced on cell stress
 CAP family of transcription factors Control transcription of genes
Carbohydrate transport and metabolism
 Pyruvate decarboxylase Related thiamine pyrophosphate-requiring enzymes
 Hexokinase Phosphorylates a six-carbon sugar, a hexose to a hexose phosphate
Amino acid transport and metabolism
 SAM1 S-adenosylmethionine synthetase Catalyzes transfer of the adenosyl group of ATP to the sulfur atom of methionine
Energy production and conversion
 F1 ATP synthase Catalyze the ATP synthesis
 Phosphoglycerate kinase Catalyzes the transfer of the high-energy phosphate group of 1,3-biphosphoglycerate to adenosine diphosphate
Table 3
Differentially expressed membrane proteins (by twofold or more), as identified by liquid chromatography-tandem mass spectrometry between voriconazole susceptible, susceptible dose-dependent, and voriconazole resistant strains
Spot Protein Molecular mass (Dalton) pI Fold change (R/S)a
12, 314 Enolase 46,710 5.76 2.69, 2.56
132, 169 Hsp70 protein 6,635 5.32 2.18, 2.72
195, 379 Pyruvate kinase (PK) 54,572 8.26 2.13, 2.21
244 Cysteine synthase 55,388 5.51 2.34
255, 291 Pyruvate decarboxylase 61,726 5.59 2.12, 2.31
276 Pyrophosphate-requiring enzymes 46,993 4.46 3.66
284 WD40 domain adaptor/regulatory modules in signal transduction 46,504 4.44 2.34
457 Phosphoglycerate kinase (PGK) 44,590 6.37 2.77
50 Heat shock protein 80,983 4.82 −2.43
119, 149 Hsp70 protein 69,469 4.96 −2.43, −4.09
153, 226 −2.18, −2.74
357, 552 −2.54, −3.88
138, 174 −28.0, −2.37
172 −3.35
175 Saccharomyces cerevisiae YLR259c Heat shock protein 60,351 5.14 −4.77
229 Hexokinase 53,772 5.23 −2.39
260 Aldehyde dehydrogenase family 56,131 6.07 −2.11
292 F1 adenosine triphosphate (ATP) synthase beta subunit, nucleotide-binding domain 54,176 5.14 −2.68
298 Nicotinamide adenine dinucleotide phosphate -glutamate dehydrogenase 49,711 5.58 −3.17
360 SAM1 S-adenosylmethionine synthetase 41,700 5.10 −2.19
398 ATPase alpha2,Na/K 116,305 5.41 −2.56
462 N terminal of the Stm1 protein 29,791 9.65 −6.48
465 Adenosine kinase (AK) 36,250 5.23 −2.05
548 Exo-beta-1,3-glucanase 33,667 4.41 −2.50
557 Elongation factor 1 beta (EF1B) guanine nucleotide exchange domain 22,903 4.33 −3.57
560 Predicted epimerase, PhzC/PhzF homolog 32,286 4.98 −2.35
578 Phosphoglycerate mutase 1 27,468 5.48 −11.1
597 Phosphoglycerate kinase 18,458 7.85 −2.51
602 Mitochondrial ribosomal protein MRP8 24,160 4.73 −2.12
616 Ribosome antiassociation factor IF6 26,367 4.52 −2.62
629 TrpR binding protein WrbA 29,728 6.54 −2.08
632 Alcohol dehydrogenase GroES-like domain 36,721 6.21 −2.25
645 Type 1 glutamine amidotransferase (GATase1) 25,479 5.16 −4.45
658 Phosphoglycerate kinase (PGK) 44,590 6.37 −2,15
715 Chain A, yeast Cu, Zn enzyme superoxide dismutase 15,714 5.63 −7.19

a Expression ration of voriconazole-resistant (R) over voriconazole-susceptible (S) strains. The minus sign (−) indicates decreased protein expression of voriconazole-resistant strains in comparison with voriconazole-susceptible strains.

Table 4
Functional classification of identified membrane proteins from voriconazole susceptible, susceptible dose-dependent, and resistant strains
Protein Function
Cell regulation
 Similar with bacterial potassium efflux protein KefA Regulate iron balance
 Sphingolipid long-chain base sensory protein Cell wall, antifungal protection
 Heat shock protein 70, 90, 60 Stress, protein folding
 SES1 seryl-transcription RNA (tRNA) synthetase Catalyze the formation of aminoacyl-tRNA
 GDP dissociation inhibitor GTP binding protein regulator
 similar to Saccharomyces cerevisiae YKL195w promotes retention of newly imported proteins
 Chromosome segregation adenosine triphosphatases (ATPases) Cell division
 highly similar to Saccharomyces cerevisiaeYGR086c Unknown function that are induced on cell stress
 Cu, Zn enzyme superoxide dismutase Catalyse the conversion of superoxide radicals to oxygen
 CAP family of transcription factors Control transcription of genes
 Molecular chaperone DnaK Posttranslational modification, protein turnover, chaperones
Carbohydrate transport and metabolism
 Pyruvate decarboxylase Related thiamine pyrophosphate-requiring enzymes
 Hexokinase Phosphorylates a six-carbon sugar, a hexose to a hexose phosphate
Amino acid transport and metabolism
 SAM1 S-adenosylmethionine synthetase Catalyzes transfer of the adenosyl group of ATP to the sulfur atom of methionine
 Elongation factor 1 beta (EF1B) catalyzes the exchange of GDP bound to the G-protein, EF1A, for GTP
Energy production and conversion
 F1 ATP synthase Catalyze the ATP synthesis
 Phosphoglycerate kinase catalyzes the transfer of the high-energy phosphate group of 1,3-biphosphoglycerate to adenosine diphosphate

Figure & Data

References

    Citations

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    • What ‘Omics can tell us about antifungal adaptation
      Gabriela Fior Ribeiro, Eszter Denes, Helen Heaney, Delma S Childers
      FEMS Yeast Research.2022;[Epub]     CrossRef
    • Effects of antifungal agents on the fungal proteome: informing on mechanisms of sensitivity and resistance
      Rebecca A. Owens, Sean Doyle
      Expert Review of Proteomics.2021; 18(3): 185.     CrossRef
    • HPLC-MS identification and expression of Candida drug-resistance proteins from African HIV-infected patients
      Pedro M D S Abrantes, Randall Fisher, Patrick J D Bouic, Carole P McArthur, Burtram C Fielding, Charlene W J Africa
      AIMS Microbiology.2021; 7(3): 320.     CrossRef

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