The yeast Candida albicans is an opportunistic human fungal pathogen and the cause of superficial and systemic infections in immunocompromised patients. The classes of antifungal agents most commonly used to treat Candida infections are the azoles, polyenes, and echinocandins. In the present study, we identified changes in C. albicans protein abundance using two-dimensional polyacrylamide gel electrophoresis and matrix-assisted laser desorption ionization-time of flight mass spectroscopy following exposure to representatives of the azole (ketoconazole), polyene (amphotericin B), and echinocandin (caspofungin) antifungals in an effort to elucidate the adaptive responses to these classes of antifungal agents. We identified 39 proteins whose abundance changed in response to ketoconazole exposure. Some of these proteins are involved in ergosterol biosynthesis and are associated with azole resistance. Exposure to amphotericin B altered the abundance of 43 proteins, including those associated with oxidative stress and osmotic tolerance. We identified 50 proteins whose abundance changed after exposure to caspofungin, including enzymes involved in cell wall biosynthesis and integrity, as well as the regulator of ␤-1,3-glucan synthase activity, Rho1p. Exposure to caspofungin also increased the abundance of the proteins involved in oxidative and osmotic stress. The common adaptive responses shared by all three antifungal agents included proteins involved in carbohydrate metabolism. Some of these antifungal-responsive proteins may represent potential targets for the development of novel therapeutics that could enhance the antifungal activities of these drugs.

Azole resistance in Candida albicans is frequently caused by the overexpression of multi-drug efflux pump genes MDR1, CDR1, and CDR2 due to gain-of-function mutations in the zinc cluster transcription factors Mrr1p and Tac1p. In this study, we performed a comparative proteomic analysis to identify proteins whose expression level is influenced by these transcription factors. Both 2-DE and PMF were used to examine the expression profiles of six pairs of matched C. albicans isolates carrying gain-of-function mutations in either MRR1 or TAC1 resulting in the overexpression of either MDR1 or CDR1 and CDR2. Using this approach, 17 differentially expressed proteins were identified in the MDR1-overexpressing isolates, while 14 were identified in the isolates that overexpress CDR1 and CDR2. Furthermore, we found that the expression of many of these proteins was increased in a wild-type strain of C. albicans after the introduction of a gain-of-function allele of MRR1 or TAC1. Moreover, disruption of MRR1 and TAC1 in isolates carrying gain-of-function mutations resulted in decreased expression of these proteins, confirming their regulation by Mrr1p or Tac1p. Several proteins involved in heat shock and carbohydrate metabolism were differentially expressed in all clinical isolate sets, but these proteins were not dependent upon either Tac1p or Mrr1p.

Processing multiple protein samples from polyacrylamide at significant sensitivity represents a major chokepoint for raising the success rate in high-volume protein identification projects. A multiwell filterplate method for processing proteins in polyacrylamide was optimized for sensitivity using a protein standard. The results demonstrate this process to be a reliable and reproducible method over a range of gel loadings and suitable for the identification of proteins near the threshold of silver stain. This high-throughput manual method requires a minimum of specialized equipment, and can be performed disconnected from a proteomics infrastructure for the preparation of mass spectrometry-ready samples.

The gain-of-function mutation G648D in UPC2 causes ERG11 up-regulation and increased fluconazole resistance in Candida albicans. In this study, we performed 2-DE and PMF to identify proteomic alterations in an ERG11-overexpressing fluconazole-resistant C. albicans clinical isolate compared with its fluconazole-susceptible parent strain. We identified 23 differentially expressed proteins, and among them, seven became differentially expressed in a C. albicans wild-type strain after the introduction of a UPC2 allele carrying this mutation. These Upc2p-regulated proteins may contribute to fluconazole resistance in C. albicans.

The protein complement of whole cell extract of the bacterium Francisella tularensis tularensis was analyzed using two-dimensional electrophoresis with preparative isoelectric focusing in the first dimension. The format allows the quantification of relative protein abundance by linear densitometry and extends the potential dynamic range of protein detection by as much as an order of magnitude. The relative abundance and rank order of 136 unique proteins identified in F. tularensis tularensis were established. It is estimated that 16% of the moderately to highly expressed proteins and 8% of all predicted non-pseudogenes were identified by comparing this proteome information with the relative abundance of mRNA as measured by microarray. This rank-ordered proteome list provides an important resource for understanding the pathogenesis of F. tularensis and is a tool for the selection and design of synthetic vaccines. This method represents a useful additional technique to improve whole proteome analyses of simple organisms.