Search tips
Search criteria 


Logo of eukcellPermissionsJournals.ASM.orgJournalEC ArticleJournal InfoAuthorsReviewers
Eukaryot Cell. 2012 July; 11(7): 896–904.
PMCID: PMC3416506

Divergent Targets of Candida albicans Biofilm Regulator Bcr1 In Vitro and In Vivo


Candida albicans is a causative agent of oropharyngeal candidiasis (OPC), a biofilm-like infection of the oral mucosa. Biofilm formation depends upon the C. albicans transcription factor Bcr1, and previous studies indicate that Bcr1 is required for OPC in a mouse model of infection. Here we have used a nanoString gene expression measurement platform to elucidate the role of Bcr1 in OPC-related gene expression. We chose for assays a panel of 134 genes that represent a range of morphogenetic and cell cycle functions as well as environmental and stress response pathways. We assayed gene expression in whole infected tongue samples. The results sketch a portrait of C. albicans gene expression in which numerous stress response pathways are activated during OPC. This one set of experiments identifies 64 new genes with significantly altered RNA levels during OPC, thus increasing substantially the number of known genes in this expression class. The bcr1Δ/Δ mutant had a much more limited gene expression defect during OPC infection than previously reported for in vitro growth conditions. Among major functional Bcr1 targets, we observed that ALS3 was Bcr1 dependent in vivo while HWP1 was not. We used null mutants and complemented strains to verify that Bcr1 and Hwp1 are required for OPC infection in this model. The role of Als3 is transient and mild, though significant. Our findings suggest that the versatility of C. albicans as a pathogen may reflect its ability to persist in the face of multiple stresses and underscore that transcriptional circuitry during infection may be distinct from that detailed during in vitro growth.


Candida albicans is a major invasive fungal pathogen of humans and can cause both mucosal and disseminated infections. Infections of the oral mucosa in particular, called oropharyngeal candidiasis (OPC), affect HIV patients (41), diabetes patients (51), and head and neck cancer patients receiving radiation therapy (1, 39, 48). Our goal is to define the attributes of C. albicans that make it a successful oral pathogen.

Mucosal infections may be considered biofilms, in that the pathogen adheres to a surface and produces an extracellular matrix (15, 39). This analogy has prompted investigations that test the hypothesis that genes required for biofilm formation in vitro may be required for mucosal infection as well. Findings from these studies have underscored the utility of this perspective, in that there are several common genetic requirements for the formation of abiotic surface biofilms and mucosal infections (10, 11, 15, 19).

One of the central regulators of biofilm formation is the zinc finger transcription factor Bcr1. It was identified in screens for mutants defective in biofilm formation on abiotic surfaces (3335) and in adherence to a silicone substrate (14). Bcr1-dependent genes have been defined under in vitro growth conditions (14, 3335). Many are cell surface protein genes, including ALS1, ALS3, and HWP1. These three genes are major functional Bcr1 targets, in that they are required for abiotic surface biofilm formation, and their overexpression restores biofilm formation in bcr1Δ/Δ mutant backgrounds (33, 34).

Transcription factors like Bcr1 have long been used to define the functional basis of pathogenicity traits (8, 27, 42). One strength of this approach comes from the fact that virulence potential may arise from expression of gene families or other gene sets with overlapping functions. Because transcription factors often control functionally related target genes, a single transcription factor defect can abolish a function that is carried out by redundant genes. One weakness of this approach comes from the fact that the spectrum of transcription factor target genes may be contingent upon environmental conditions. Thus, the gene expression impact of a transcription factor in an infection setting may be different from its impact in vitro. In fact, there are now several examples in which a target gene is expressed in colonization or infection samples independently of a transcriptional regulator that was defined by in vitro assays (24). Moreover, this limitation is not restricted to transcription factors, since almost any genetic perturbation has gene expression consequences (22) that may contribute to a mutant phenotype.

Clearly it is critical to assess pathogen gene expression in vivo during infection, and several prior studies have done so (2, 18, 21, 29, 36, 38, 47, 49, 52, 54). Relevant to oral C. albicans infection, there has been a quantitative reverse transcription (QRT)-PCR analysis of C. albicans gene expression in a gnotobiotic pig OPC model (50), which revealed that ECE1 RNA accumulated at very high levels during infection. There have also been microarray analyses of both reconstituted human epithelial (RHE) infection and OPC patient samples (31, 54). The most highly upregulated genes in these contexts, compared to in vitro yeast extract-peptone dextrose (YPD)-grown cells, included the cell surface protein genes ALS3 and HWP1. All three of these genes—ECE1, ALS3, and HWP—require Bcr1for expression under in vitro growth conditions (35). These findings suggested that Bcr1 may be required for OPC. Indeed, a recent analysis in a murine OPC model has shown that Bcr1 is required for infection (11). In that context, Bcr1 seemed to act through HWP1, because overexpression of HWP1 significantly improved virulence of the bcr1Δ/Δ mutant. These findings were consistent with previous biochemical and functional analysis of Hwp1, which has shown that it is required for OPC in transgenic immunocompromised mouse models and that it is an epithelial adhesin (44, 45). Overexpression of ALS3 also improved virulence by qualitative assay (11), though quantitative measures did not reach significance thresholds. The overall results suggested that Bcr1 is required for both ALS3 and HWP1 expression during OPC, a functional relationship similar to that described in vitro (35).

Here we have looked at gene expression during OPC to understand the basis for the bcr1Δ/Δ mutant phenotype. Our study has been aided by new technology, the nanoString nCounter, which has sensitivity on par with that of real-time RT-PCR yet is capable of profiling over 100 genes per sample (17). We expected that this assay platform may be useful for infected tissue samples, because it enables selective assay of pathogen gene expression despite the presence of abundant host RNA. This issue has previously been recognized as a major impediment to analysis of infection-related gene expression (2). Our findings indicate that many genes that are Bcr1 dependent in vitro are still expressed in the mutant during infection. These results suggest that a Bcr1 bypass pathway may function in vivo to activate shared target genes. In a broader context, our results emphasize the value of mutant gene expression profiling in vivo as a way to understand gene function during infection.


Media and strain construction.

C. albicans strains were grown on YPD (2% Bacto peptone, 2% dextrose,1% yeast extract) or in Spider medium (1% nutrient broth [BD Difco], 1% d-mannitol [Sigma], 0.2% K2HPO4 [Sigma]). C. albicans strains used in this study are listed in Table 1.

Table 1
Candida albicans strains used in this study

Mouse model of oropharyngeal candidiasis.

To assess the virulence of the various strains of C. albicans, the OPC mouse model was used (6, 37). This study was approved by the Animal Use Committee of the Los Angeles Biomedical Institute in compliance with NIH guidelines for the ethical treatment of animals. Male BALB/c mice (National Cancer Institute) weighing approximately 20 g were immunosuppressed with cortisone acetate (Sigma-Aldrich) at a dose of 225 mg/kg of body weight administered subcutaneously on days −1, +1, and + 3 relative to the day of infection. To induce OPC, the mice were anesthetized with xylazine and ketamine (both from Phoenix pharmaceuticals) administered intraperitoneally. Next, calcium alginate urethral swabs (Type 4 Calgiswab; Puritan Medical Products Company LLC) were saturated with C. albicans by placing them in Hanks balanced salt solution (HBSS) containing 106 organisms per ml. The saturated swabs were placed sublingually in the anesthetized mice for 75 min. Each strain of C. albicans was inoculated into 7 to 9 mice per experiment. The virulence of the bcr1Δ/Δ mutant was compared to those of the wild-type and bcr1Δ/Δ::BCR1-complemented strains in multiple experiments involving a total of 20 to 30 mice per strain. The virulence of the als3 and hwp1 mutants was tested in single experiments. After the mice recovered from anesthesia, they were given food and water ad libitum. The mice were sacrificed after either 1 or 5 days of infection, after which their tongues and adjacent sublingual tissue were excised. The tissue was weighed, homogenized, and quantitatively cultured on Sabouraud dextrose agar containing chloramphenicol. Differences in oral fungal burden among mice infected with different strains were analyzed using the Wilcoxon rank sum test.

RNA isolation.

Immediately after being harvested, the tongues were cut into small pieces on ice and then immersed in RNAlater (Ambion). They were stored in this solution at 4°C overnight and then at −20°C. The frozen samples were then homogenized in trireagent (Ambion) using a Fastprep FP120 (Bio101) instrument at setting 4 using ceramic bead no. 2. The RNA was then isolated using the Ribopure kit (Ambion) following the manufacturer's instruction.

NanoString analysis of gene expression.

Samples containing 100 ng of C. albicans total RNA (from samples grown in Spider media) or 5 to 10 μg of C. albicans-infected mouse tissue RNA were mixed with custom-designed probe code set and incubated at 65°C overnight (12 to 18 h). The hybridized samples were processed on a nanoString prep station using the manufacturer's default program. The resultant cartridges were then transferred to the nanoString digital analyzer and scanned for 600 fields per sample. The raw counts were first adjusted for technical variability using the positive and negative controls of irrelevant RNA sequences included in the code set. The technically adjusted counts were then normalized for total input C. albicans RNA using the housekeeping gene TDH3. The normalized counts were used to compare gene expression levels among different samples.

NanoString data analysis.

We used MultiExperimentViewer (MeV v4.6.2) to cluster data sets. The normalized data sets were used to determine if the expression level of a gene in a strain under a particular condition was significantly different from that of another. Three determinations for a gene in the bcr1Δ/Δ mutant grown in Spider medium were divided by the average determination for a gene in the wild-type strain grown in Spider. Three determinations for a gene in the bcr1Δ/Δ mutant in OPC infection (3 independent biological samples) were divided by the average determination for a gene in the wild-type strain in OPC infection (3 independent biological samples). The normalized data (fold change) were log2 transformed and subjected to averaging linkage clustering based on Manhattan distance.


Gene expression during OPC infection.

To obtain insight into C. albicans gene expression during OPC infection, we employed the nanoString nCounter system (17). This assay counts specific RNA molecules directly in a sample through bar-coded probe readouts. Because this technology is not genome-wide, it is critical to choose informative genes for expression measurements. We chose 134 genes for assays based upon many published microarray data sets and our nanoString in vitro data sets. Specifically, we selected representative genes that are upregulated in response to conditions that included azole treatment (26), biofilm formation in vitro (16), biofilm formation in vivo (32), general stress (13), hyphal growth (4), hypoxia (46), iron limitation (43), kidney infection (49), oxidative stress (12), and caspofungin treatment (3) and during specific cell cycle phases (7). We also included genes that were highly responsive to adherence regulators (14). We included a control gene, TDH3, for normalization among samples and backup control genes for high expression, ACT1, and for low-to-moderate expression, ARP3 and YRA1. These control genes varied little in numerous microarray studies and in vitro nanoString studies from our lab (see Data File S1, Gene Selection Tab, in the supplemental material). Thus, our panel of genes presented the opportunity to relate anticipated findings to well-studied pathways and responses. In addition, we had likely enriched for reporter genes that were regulated at the level of RNA accumulation.

Gene expression was assayed during in vivo OPC infection using infected mouse tongue tissue as a source of RNA. We compared RNA levels detected by our probes among tissue samples from three animals (Fig. 1; see also Data File S1 in the supplemental material). The nanoString platform detected C. albicans RNA transcript levels from in vivo samples even though the total RNA sample contained less than 0.1% Candida RNA, as estimated from C. albicans TDH3 RNA levels. The relative expression levels of our reporter genes were highly reproducible. For example, for the two in vivo infection samples presented in Fig. 1, there was a 10-fold difference in the quantity of C. albicans RNA, as seen by comparison of the x and y axes. Nonetheless, signals were well above background. For example, the ratio of median signal counts to maximum background counts was roughly 50 (400 counts/8 counts). Most importantly, the relative expression levels among the genes were consistent in the two samples (Fig. 1). Similar agreement was evident among other comparisons of biological replicates (see Fig. S1 and S2 in the supplemental material).

Fig 1
Comparison of C. albicans RNA levels in mouse tongue samples. RNA was isolated from infected tongues (WT-OPC-1 and WT-OPC-2) or an uninfected tongue and used for RNA level measurements by nanoString analysis. In total, the RNA levels for 134 C. albicans ...

The genes most highly expressed in murine OPC samples (Fig. 1) included ALS3, HWP1, and ECE1, in keeping with prior studies of piglet OPC infection and RHE infection (50, 54), and SAP5 and SAP6, as expected from studies of patient samples (30). These results, along with high-level expression of other hyphal genes (IHD1 and HYR1), fit well with the observation that hyphae are prominent in infected tissue samples (23). Genes repressed by Hap43 or high iron levels (5, 20, 43) were also highly expressed (orf19.670.2, UCF1, and CAT1), which is consistent with the finding that the iron-repressed CFL2 and FRE4 transcripts are highly expressed in human patient samples (54). These results suggest that iron is limiting during OPC infection in this murine model.

We also sought to define gene expression relationships between infection and in vitro growth. To do so, we compared OPC infection RNA measurements to previous RNA measurements on the nanoString platform (14) during growth in Spider medium at 37°C (Fig. 2; see Data File S1 in the supplemental material). Assays of gene expression levels in YPD medium at 30°C were also examined (see Fig. S2 in the supplemental material), because this growth condition has been used for comparison in some previous studies. As expected, the gene expression profile of cells grown in YPD at 30°C was vastly different from that of cells grown in Spider at 37°C or in OPC infection (see Fig. S2 in the supplemental material). We used Spider medium for further comparisons here because it induces the formation of hyphae, which are also prominent in OPC samples.

Fig 2
Relative C. albicans RNA levels from in vitro growth and OPC infection. NanoString measurements were conducted on three independent cultures of C. albicans grown in vitro (labeled “Spider”) or on three infected mouse tongues (“OPC”). ...

Gene expression during OPC infection was different from that in Spider medium; about one-half of the genes assayed were expressed at different levels under the two conditions (Fig. 2; Table 2; P values are shown in Data File S1 in the supplemental material). The most striking feature of OPC gene expression was that representatives of virtually every stress response pathway were upregulated (Fig. 2). Noteworthy were oxidative stress response genes. The oxidative stress response is not observed in RHE infection models (54) and probably reflects interaction of C. albicans with residual macrophages and neutrophils that are present in infected tissue, despite immunosuppression. Several hypoxic stress genes were upregulated, likely a reflection of oxygen limitation in cells that invade tissues. Upregulation of this gene class was also not evident in prior RHE infection studies (54). Many iron and zinc limitation genes were also upregulated, as expected if these nutrients are limiting during infection. Surprisingly, despite the fact that our comparison of OPC samples was to hyphal cells, many hyphal genes were expressed at significantly higher levels in the OPC samples. Induction of these genes during OPC infection was greater than in many serum-containing media as well in our preliminary studies (see Data File S2 in the supplemental material). Finally, a useful outcome of gene expression analysis is the identification of new candidate genes that may have functional roles during infection. Although our probe selection was biased toward genes of known function, we note that several OPC-upregulated genes are uncharacterized (orf19.4174, orf19.2125, orf19.4706, orf19.3460, and orf19.6329) and may be interesting for future analysis. All told, our findings argue that the success of C. albicans as an oral pathogen may reflect its ability to mount multiple stress responses. Conversely, if we view C. albicans as a biosensor, then we infer that the oral cavity is an inhospitable environment, even after immunosuppression.

Table 2
Classes of genes that are upregulated during OPC infection

It seemed possible that our experiments might only verify the microarray-based identification of C. albicans genes upregulated in RHE infection and OPC patient samples (54). Indeed, we did verify upregulation during OPC infection of the highly expressed genes ALS3, ECE1, HWP1, IHD1, PCK1, PHR1, SAP5, SOD5, STF2, and YHB1. However, we also defined 62 new genes whose RNA levels are regulated during OPC. If YPD 30°C cell samples are used as the comparator, this number increases to 83 new OPC-regulated genes. These findings probably reflect the sensitivity of the nanoString, because the previously known OPC-upregulated genes all have RNA levels above the median in our experiments.

Bcr1-responsive gene expression in vivo.

In order to understand Bcr1-dependent gene expression in vivo, we analyzed RNA from tongues of three mice that had been infected with a bcr1Δ/Δ strain. For comparison to in vitro-grown cells, we used our recently published data set (14) of bcr1Δ/Δ cells grown in Spider medium at 37°C. In vivo and in vitro measurements were normalized for each gene to the mean wild-type expression levels under comparable growth conditions (Fig. 3). The data for the bcr1Δ/Δ strain were highly reproducible among biological replicates (Fig. 3; see Fig. S1 in the supplemental material). The data set for in vitro-grown cells correlated well for previously reported Bcr1-dependent genes (including ALS1, ALS3, HWP1, CHT2, ECE1, and RBT5) from in vitro RNA microarrays (35) and RNAseq studies (34). Several additional Bcr1-dependent genes (including SOD5, IFE2, PGA7, and PHO89) were detected only in nanoString (14) and RNAseq (34) data sets. These results indicate that Bcr1-responsive genes defined under in vitro growth conditions are highly reproducible, extending across different detection methods and laboratories.

Fig 3
Relative bcr1Δ/Δ mutant RNA levels from in vitro growth and OPC infection. NanoString measurements were conducted on C. albicans strain CJN702 (bcr1Δ/Δ), using three independent cultures grown in vitro (labeled “Spider”) ...

In contrast, the spectrum of Bcr1-responsive genes from in vivo OPC infection samples was quite different from that in vitro (Fig. 3; see Data File S1 in the supplemental material). A core set of genes had significantly altered expression in the mutant both in vivo and in vitro, including downregulated genes ALS1, ALS3, and IFE2 and upregulated genes RBR1, SAP4, PGA17, and PGA25. Some upregulated genes are repressed by RIM101 (PHR2, RBR1, and RBR2 [28]). This response may reflect the facts that Bcr1 activates expression of RIM8 (34) and Rim8 is an upstream member of the Rim101 pathway (9). However, most striking were the many examples of genes that were Bcr1 responsive only in vitro or in vivo. Prominent in this class were many hyphal genes, including HWP1 and ECE1 (Fig. 3). Our results indicate that environmental conditions can alter the spectrum of Bcr1-responsive genes considerably. Although there are previous reports of other transcription factors whose function is bypassed in vivo for specific target genes (38, 50; reviewed in reference 24), the possibility that most targets of a transcription factor are altered in vivo has not previously been investigated. Our findings are in keeping with Kumamoto's suggestion that several of the known hyphal gene regulators may have overlapping functions in vivo (24), though recent discoveries have expanded the number of hyphal gene regulators dramatically (14, 34). One might imagine that the differential regulation separates direct and indirect Bcr1 target genes: the more stringent in vivo growth conditions might result in only direct Bcr1 target genes showing Bcr1-dependent expression. However, based on genome-wide chromatin immunoprecipitation (ChIP) data from Nobile et al. (34), this hypothesis seems incorrect. For example, IFE2 and ALS3 are indirect Bcr1 target genes (regulated by Bcr1 but not bound by Bcr1), yet these are Bcr1 dependent in vitro and in vivo. In contrast, RBT5 and CHT2 are direct Bcr1 targets yet show Bcr1-dependent expression only in vitro. Given the extensive upregulation of C. albicans stress response pathways during OPC infection, perhaps one or more stress response pathways may override Bcr1 dependence for many target genes.

Functional analysis of BCR1, ALS3, and HWP1 in vivo.

We selected the adhesin genes ALS3 and HWP1 for functional analysis, with the specific goal of assessing virulence potential during OPC infection of null mutants under uniform assay conditions. HWP1 has been implicated in OPC based on its overexpression (11) and on in vivo null mutant assays in a transgenic mouse model (44). A role for ALS3 in OPC is uncertain (11). We first verified that Bcr1 is required for OPC infection. We observed that a bcr1Δ/Δ mutant produced a significantly lower fungal burden than the wild-type strain at days 1 and 5 of infection (Fig. 4). Parallel assays indicated that Als3 is required only early in infection: an als3Δ/Δ mutant had significantly lower fungal burden than the wild type at day 1 of infection but had no defect at day 5 (Fig. 4). The overall role of Als3 seemed modest. Hwp1 has a prominent role at all times: an hwp1Δ/Δ strain yielded significantly reduced fungal burden at days 1 and 5 of infection (Fig. 4). These results verify that Bcr1, Als3, and Hwp1 have roles in OPC infection despite their altered relationship based on expression analysis above. In addition, the fact that an als3Δ/Δ strain has a milder and more transient OPC defect than a bcr1Δ/Δ strain helps to explain why overexpression of ALS3 does not fully rescue the bcr1Δ/Δ phenotype (11): there must be additional Bcr1-dependent genes that contribute to the bcr1Δ/Δ OPC defect.

Fig 4
Contribution of Bcr1, Als3, and Hwp1 to virulence in OPC infection. Immunosuppressed mice were inoculated with C. albicans strains with the genotypes indicated. After 1 day (A) or 5 days (B), mice were sacrificed, and the oral fungal burdens were calculated. ...

Our gene expression data provide only a limited view of OPC infection, but they improve our understanding of OPC in several ways. The most important point is that infecting cells express targets of numerous stress response and nutrient limitation pathways. Our findings extend what was known from pioneering microarray profiling studies of RHE and patient samples (54). Thus, the versatility of this pathogen may reflect its ability to endure multiple stresses. A second important point is that many new genes that are highly expressed or highly upregulated during OPC infection have been identified. While many of these genes have functional roles that can be deduced from homology, many others do not, and they are thus candidates for future functional studies. Finally, our results suggest a new twist on the idea that C. albicans transcriptional regulatory circuits have been rewired (25). It is generally appreciated that evolutionary forces have reshaped the features of transcriptional circuits in C. albicans, compared to Saccharomyces cerevisiae. Our studies, as well as those of Kumamoto and colleagues (50), underscore the fact that transcriptional circuits we study in vitro may also be reshaped during infection. We believe that an understanding of gene expression during growth in vivo is critical to validate in vitro studies and to define and prioritize the voids in our understanding.

Supplementary Material

Supplemental material:


We are grateful to Tatyana Aleynikova for preparation and management of laboratory stocks and supplies.

This work was funded by NIH research grants R01 AI067703 (A.P.M.) and R01 DE017088 (S.G.F.), a gift from the Richard King Mellon Foundation (A.P.M.), and a National University of Ireland Traveling Studentship (S.F.).


Published ahead of print 27 April 2012

Supplemental material for this article may be found at


1. Bensadoun RJ, Patton LL, Lalla RV, Epstein JB. 2011. Oropharyngeal candidiasis in head and neck cancer patients treated with radiation: update 2011. Support Care Cancer 19:737–744 [PubMed]
2. Brown AJ, Odds FC, Gow NA. 2007. Infection-related gene expression in Candida albicans. Curr. Opin. Microbiol. 10:307–313 [PubMed]
3. Bruno VM, et al. 2006. Control of the C. albicans cell wall damage response by transcriptional regulator Cas5. PLoS Pathog. 2:e21 doi:10.1371/journal.ppat.0020021. [PMC free article] [PubMed]
4. Cao F, et al. 2006. The Flo8 transcription factor is essential for hyphal development and virulence in Candida albicans. Mol. Biol. Cell 17:295–307 [PMC free article] [PubMed]
5. Chen C, Pande K, French SD, Tuch BB, Noble SM. 2011. An iron homeostasis regulatory circuit with reciprocal roles in Candida albicans commensalism and pathogenesis. Cell Host Microbe 10:118–135 [PMC free article] [PubMed]
6. Chiang LY, et al. 2007. Candida albicans protein kinase CK2 governs virulence during oropharyngeal candidiasis. Cell. Microbiol. 9:233–245 [PubMed]
7. Cote P, Hogues H, Whiteway M. 2009. Transcriptional analysis of the Candida albicans cell cycle. Mol. Biol. Cell 20:3363–3373 [PMC free article] [PubMed]
8. Davis D, Edwards JE, Jr, Mitchell AP, Ibrahim AS. 2000. Candida albicans RIM101 pH response pathway is required for host-pathogen interactions. Infect. Immun. 68:5953–5959 [PMC free article] [PubMed]
9. Davis DA. 2009. How human pathogenic fungi sense and adapt to pH: the link to virulence. Curr. Opin. Microbiol. 12:365–370 [PubMed]
10. Dongari-Bagtzoglou A, Kashleva H, Dwivedi P, Diaz P, Vasilakos J. 2009. Characterization of mucosal Candida albicans biofilms. PLoS One 4:e7967 doi:10.1371/journal.pone.0007967. [PMC free article] [PubMed]
11. Dwivedi P, et al. 2011. Role of Bcr1-activated genes Hwp1 and Hyr1 in Candida albicans oral mucosal biofilms and neutrophil evasion. PLoS One 6:e16218 doi:10.1371/journal.pone.0016218. [PMC free article] [PubMed]
12. Enjalbert B, Nantel A, Whiteway M. 2003. Stress-induced gene expression in Candida albicans: absence of a general stress response. Mol. Biol. Cell 14:1460–1467 [PMC free article] [PubMed]
13. Enjalbert B, et al. 2006. Role of the Hog1 stress-activated protein kinase in the global transcriptional response to stress in the fungal pathogen Candida albicans. Mol. Biol. Cell 17:1018–1032 [PMC free article] [PubMed]
14. Finkel JS, et al. 2012. Portrait of Candida albicans adherence regulators. PLoS Pathog. 8:e1002525 doi:10.1371/journal.ppat.1002525. [PMC free article] [PubMed]
15. Ganguly S, Mitchell AP. 2011. Mucosal biofilms of Candida albicans. Curr. Opin. Microbiol. 14:380–385 [PMC free article] [PubMed]
16. Garcia-Sanchez S, et al. 2004. Candida albicans biofilms: a developmental state associated with specific and stable gene expression patterns. Eukaryot. Cell 3:536–545 [PMC free article] [PubMed]
17. Geiss GK, et al. 2008. Direct multiplexed measurement of gene expression with color-coded probe pairs. Nat. Biotechnol. 26:317–325 [PubMed]
18. Gow NA, van de Veerdonk FL, Brown AJ, Netea MG. 2011. Candida albicans morphogenesis and host defence: discriminating invasion from colonization. Nat. Rev. Microbiol. 10:112–122 [PubMed]
19. Harriott MM, Lilly EA, Rodriguez TE, Fidel PL, Jr, Noverr MC. 2010. Candida albicans forms biofilms on the vaginal mucosa. Microbiology 156:3635–3644 [PMC free article] [PubMed]
20. Hsu PC, Yang CY, Lan CY. 2011. Candida albicans Hap43 is a repressor induced under low-iron conditions and is essential for iron-responsive transcriptional regulation and virulence. Eukaryot. Cell 10:207–225 [PMC free article] [PubMed]
21. Hube B. 2006. Infection-associated genes of Candida albicans. Future Microbiol. 1:209–218 [PubMed]
22. Hughes TR, et al. 2000. Functional discovery via a compendium of expression profiles. Cell 102:109–126 [PubMed]
23. Kamai Y, Kubota M, Hosokawa T, Fukuoka T, Filler SG. 2001. New model of oropharyngeal candidiasis in mice. Antimicrob. Agents Chemother. 45:3195–3197 [PMC free article] [PubMed]
24. Kumamoto CA. 2008. Niche-specific gene expression during C. albicans infection. Curr. Opin. Microbiol. 11:325–330 [PMC free article] [PubMed]
25. Lavoie H, et al. 2010. Evolutionary tinkering with conserved components of a transcriptional regulatory network. PLoS Biol. 8:e1000329 doi:10.1371/journal.pbio.1000329. [PMC free article] [PubMed]
26. Liu TT, et al. 2005. Genome-wide expression profiling of the response to azole, polyene, echinocandin, and pyrimidine antifungal agents in Candida albicans. Antimicrob. Agents Chemother. 49:2226–2236 [PMC free article] [PubMed]
27. Lo HJ, et al. 1997. Nonfilamentous C. albicans mutants are avirulent. Cell 90:939–949 [PubMed]
28. Lotz H, Sohn K, Brunner H, Muhlschlegel FA, Rupp S. 2004. RBR1, a novel pH-regulated cell wall gene of Candida albicans, is repressed by RIM101 and activated by NRG1. Eukaryot. Cell 3:776–784 [PMC free article] [PubMed]
29. Martin R, Wachtler B, Schaller M, Wilson D, Hube B. 2011. Host-pathogen interactions and virulence-associated genes during Candida albicans oral infections. Int. J. Med. Microbiol. 301:417–422 [PubMed]
30. Naglik JR, et al. 2008. Quantitative expression of the Candida albicans secreted aspartyl proteinase gene family in human oral and vaginal candidiasis. Microbiology 154:3266–3280 [PMC free article] [PubMed]
31. Nailis H, et al. 2010. Real-time PCR expression profiling of genes encoding potential virulence factors in Candida albicans biofilms: identification of model-dependent and -independent gene expression. BMC Microbiol. 10:114 doi:10.1186/1471-2180-10-114. [PMC free article] [PubMed]
32. Nett JE, Lepak AJ, Marchillo K, Andes DR. 2009. Time course global gene expression analysis of an in vivo Candida biofilm. J. Infect. Dis. 200:307–313 [PMC free article] [PubMed]
33. Nobile CJ, et al. 2006. Critical role of Bcr1-dependent adhesins in C. albicans biofilm formation in vitro and in vivo. PLoS Pathog. 2:e63 doi:10.1371/journal.ppat.0020063. [PMC free article] [PubMed]
34. Nobile CJ, et al. 2012. A recently evolved transcriptional network controls biofilm development in Candida albicans. Cell 148:126–138 [PMC free article] [PubMed]
35. Nobile CJ, Mitchell AP. 2005. Regulation of cell-surface genes and biofilm formation by the C. albicans transcription factor Bcr1p. Curr. Biol. 15:1150–1155 [PubMed]
36. Park H, et al. 2009. Transcriptional responses of Candida albicans to epithelial and endothelial cells. Eukaryot. Cell 8:1498–1510 [PMC free article] [PubMed]
37. Park H, et al. 2005. Role of the fungal Ras-protein kinase A pathway in governing epithelial cell interactions during oropharyngeal candidiasis. Cell. Microbiol. 7:499–510 [PubMed]
38. Rosenbach A, Dignard D, Pierce JV, Whiteway M, Kumamoto CA. 2010. Adaptations of Candida albicans for growth in the mammalian intestinal tract. Eukaryot. Cell 9:1075–1086 [PMC free article] [PubMed]
39. Samaranayake LP, Keung Leung W, Jin L. 2009. Oral mucosal fungal infections. Periodontol. 2000 49:39–59 [PubMed]
40. Sanchez AA, et al. 2004. Relationship between Candida albicans virulence during experimental hematogenously disseminated infection and endothelial cell damage in vitro. Infect. Immun. 72:598–601 [PMC free article] [PubMed]
41. Sangeorzan JA, et al. 1994. Epidemiology of oral candidiasis in HIV-infected patients: colonization, infection, treatment, and emergence of fluconazole resistance. Am. J. Med. 97:339–346 [PubMed]
42. Saville SP, Lazzell AL, Monteagudo C, Lopez-Ribot JL. 2003. Engineered control of cell morphology in vivo reveals distinct roles for yeast and filamentous forms of Candida albicans during infection. Eukaryot. Cell 2:1053–1060 [PMC free article] [PubMed]
43. Singh RP, Prasad HK, Sinha I, Agarwal N, Natarajan K. 2011. Cap2-HAP complex is a critical transcriptional regulator that has dual but contrasting roles in regulation of iron homeostasis in Candida albicans. J. Biol. Chem. 286:25154–25170 [PMC free article] [PubMed]
44. Sundstrom P, Balish E, Allen CM. 2002. Essential role of the Candida albicans transglutaminase substrate, hyphal wall protein 1, in lethal oroesophageal candidiasis in immunodeficient mice. J. Infect. Dis. 185:521–530 [PubMed]
45. Sundstrom P, Cutler JE, Staab JF. 2002. Reevaluation of the role of HWP1 in systemic candidiasis by use of Candida albicans strains with selectable marker URA3 targeted to the ENO1 locus. Infect. Immun. 70:3281–3283 [PMC free article] [PubMed]
46. Synnott JM, Guida A, Mulhern-Haughey S, Higgins DG, Butler G. 2010. Regulation of the hypoxic response in Candida albicans. Eukaryot. Cell 9:1734–1746 [PMC free article] [PubMed]
47. Thewes S, et al. 2007. In vivo and ex vivo comparative transcriptional profiling of invasive and non-invasive Candida albicans isolates identifies genes associated with tissue invasion. Mol. Microbiol. 63:1606–1628 [PubMed]
48. Thompson GR, III, et al. 2010. Oropharyngeal candidiasis in the era of antiretroviral therapy. Oral Surg. Oral Med. Oral Pathol. Oral Radiol. Endod. 109:488–495 [PMC free article] [PubMed]
49. Walker LA, et al. 2009. Genome-wide analysis of Candida albicans gene expression patterns during infection of the mammalian kidney. Fungal Genet. Biol. 46:210–219 [PMC free article] [PubMed]
50. White SJ, et al. 2007. Self-regulation of Candida albicans population size during GI colonization. PLoS Pathog. 3:e184 doi:10.1371/journal.ppat.0030184. [PMC free article] [PubMed]
51. Willis AM, et al. 1999. Oral candidal carriage and infection in insulin-treated diabetic patients. Diabet. Med. 16:675–679 [PubMed]
52. Wilson D, et al. 2009. Identifying infection-associated genes of Candida albicans in the postgenomic era. FEMS Yeast Res. 9:688–700 [PubMed]
53. Wilson RB, Davis D, Mitchell AP. 1999. Rapid hypothesis testing with Candida albicans through gene disruption with short homology regions. J. Bacteriol. 181:1868–1874 [PMC free article] [PubMed]
54. Zakikhany K, et al. 2007. In vivo transcript profiling of Candida albicans identifies a gene essential for interepithelial dissemination. Cell. Microbiol. 9:2938–2954 [PubMed]

Articles from Eukaryotic Cell are provided here courtesy of American Society for Microbiology (ASM)