KEGG: cgr:CAGL0D02398g
STRING: 284593.XP_445519.1
Candida glabrata Acyl-protein thioesterase 1 (CAGL0D02398g) likely functions similarly to other acyl-protein thioesterases by catalyzing the deacylation of S-acylated peripheral membrane proteins. This enzymatic activity is crucial for maintaining dynamic protein localization and function. Based on studies of similar thioesterases, CAGL0D02398g likely participates in an acylation/deacylation cycle necessary for the steady-state subcellular distribution and biological activity of S-acylated peripheral proteins in C. glabrata .
To investigate its functional role:
Generate knockout strains using CRISPR-Cas9 gene editing
Perform comparative proteomics to identify changes in the S-acylated proteome
Conduct subcellular localization studies of known acylated proteins in wild-type versus knockout strains
Analyze phenotypic changes related to virulence, stress response, and morphology
The optimal expression system depends on your experimental goals. Based on research with similar proteins, consider these approaches:
| Expression System | Advantages | Disadvantages | Optimal Conditions |
|---|---|---|---|
| E. coli BL21(DE3) | High yield, simple protocol | Potential misfolding, lack of PTMs | 16-18°C induction, 0.1-0.5 mM IPTG |
| Pichia pastoris | Eukaryotic PTMs, proper folding | Longer production time | Methanol induction, 28-30°C |
| S. cerevisiae | Native-like folding, fungal PTMs | Lower yield than bacteria | Galactose induction, 25-28°C |
| Insect cells | Complex eukaryotic PTMs | Technical complexity, cost | 27°C, 72-96h post-infection |
For functional studies, S. cerevisiae expression may provide the most physiologically relevant protein, particularly when studying substrate specificity and regulatory mechanisms.
The regulation of CAGL0D02398g may parallel other C. glabrata proteins involved in inter-species interactions. Research indicates that some C. glabrata proteins are regulated through the mating MAPK signaling pathway despite C. glabrata's predominantly asexual reproduction .
To investigate this regulatory relationship:
Analyze the promoter region of CAGL0D02398g for binding sites of transcription factors downstream of the MAPK pathway
Generate knockouts of key MAPK components (e.g., CgFus3, CgKss1) and measure CAGL0D02398g expression levels
Perform chromatin immunoprecipitation (ChIP) to identify transcription factors binding to the CAGL0D02398g promoter
Use reporter assays to measure promoter activity under various conditions that activate/inhibit the MAPK pathway
Recent findings suggest that the mating MAPK pathway in C. glabrata has been repurposed for inter-species communication, potentially involving deacylation enzymes like CAGL0D02398g in regulating the acylation status of secreted factors .
In mixed-species candidiasis, C. glabrata relies on C. albicans for efficient host colonization. Research has identified a novel C. glabrata protein (Yhi1) that facilitates this interaction by inducing hyphal growth in C. albicans . CAGL0D02398g may similarly contribute to inter-species interactions by regulating the acylation status of proteins involved in this process.
Methodological approach to investigate this role:
Perform co-culture experiments with wild-type and CAGL0D02398g knockout C. glabrata strains with C. albicans
Analyze the secretome of both species during co-culture using mass spectrometry
Identify differentially acylated proteins in the presence/absence of CAGL0D02398g
Test the effect of CAGL0D02398g overexpression on C. albicans morphology and virulence factor expression
Understanding substrate specificity is crucial for developing selective inhibitors. To characterize CAGL0D02398g substrate preferences:
Express and purify recombinant enzyme
Test activity against a panel of acylated peptide substrates with varying:
Acyl chain lengths (C8-C20)
Degrees of unsaturation
Amino acid sequences flanking the acylated cysteine
Compare kinetic parameters with human APT-1 and APT-2 using the same substrates
Identify structural features contributing to specificity differences
Representative example of substrate specificity comparison:
| Substrate | CAGL0D02398g kcat/KM (M⁻¹s⁻¹) | Human APT-1 kcat/KM (M⁻¹s⁻¹) | Human APT-2 kcat/KM (M⁻¹s⁻¹) |
|---|---|---|---|
| Palmitoyl-peptide 1 | 3.2 × 10⁴ | 2.8 × 10⁴ | 4.5 × 10⁴ |
| Palmitoyl-peptide 2 | 1.7 × 10⁵ | 2.3 × 10³ | 5.6 × 10³ |
| Palmitoyl-peptide 3 | 9.8 × 10³ | 7.2 × 10⁴ | 8.3 × 10⁴ |
| Myristoyl-peptide 1 | 6.4 × 10³ | 9.5 × 10³ | 1.3 × 10⁴ |
| Stearoyl-peptide 1 | 8.7 × 10³ | 4.6 × 10³ | 3.9 × 10³ |
*Note: This table presents hypothetical data based on typical values for similar enzymes and is intended as a methodological example.
Multiple complementary approaches can be employed to measure CAGL0D02398g activity:
Fluorogenic substrate assay:
Substrate: 4-methylumbelliferyl palmitate or similar fluorogenic substrates
Detection: Measure fluorescence increase upon substrate hydrolysis
Advantages: High-throughput, real-time monitoring
Limitations: Artificial substrate may not reflect physiological specificity
Acylated peptide assay:
Substrate: Synthetic peptides with palmitoylated cysteines
Detection: HPLC or mass spectrometry to quantify deacylated products
Advantages: More physiologically relevant substrates
Protocol: Incubate enzyme with substrate, stop reaction at various timepoints, analyze products
Radiolabeled substrate assay:
Substrate: [³H]-palmitoylated proteins or peptides
Detection: Measure release of [³H]-palmitate
Advantages: High sensitivity, suitable for kinetic studies
Limitations: Safety concerns, specialized facilities required
A multi-faceted approach is recommended:
Acyl-biotin exchange (ABE) proteomics:
Compare wild-type and CAGL0D02398g knockout strains
Protocol:
a. Block free thiols with N-ethylmaleimide
b. Cleave thioester bonds with hydroxylamine
c. Label newly exposed thiols with biotin-HPDP
d. Enrich biotinylated proteins and analyze by mass spectrometry
Outcome: Proteins with increased acylation in knockout strains are potential substrates
Proximity-based labeling:
Generate CAGL0D02398g fusions with BioID or APEX2
Express in C. glabrata and identify labeled proteins
Advantages: Identifies transient interactions in native cellular environment
In vitro validation:
Express and purify candidate substrates
Perform in vitro deacylation assays with purified CAGL0D02398g
Confirm specificity through site-directed mutagenesis of catalytic residues
To study CAGL0D02398g localization and dynamics:
Fluorescent protein tagging:
Generate C-terminal or N-terminal GFP/mCherry fusions
Validate functionality of tagged protein through complementation assays
Perform live-cell imaging using confocal microscopy
Experimental considerations:
Temperature control: Maintain 30°C during imaging for physiological relevance
Time-lapse imaging: Capture images every 5-10 minutes for up to 2 hours
Co-localization: Use established organelle markers (ER, Golgi, plasma membrane)
Photobleaching techniques: FRAP or photoactivation to measure protein dynamics
Protein dynamics during environmental changes:
Monitor localization changes during:
a. Oxidative stress (0.5-2 mM H₂O₂)
b. Temperature shift (30°C to 37°C)
c. Antifungal treatment (sub-MIC concentrations)
d. Co-culture with C. albicans
When faced with conflicting data:
Examine experimental conditions:
pH and buffer composition significantly affect thioesterase activity
Reducing agents may influence enzyme conformation and activity
Temperature affects both enzyme kinetics and substrate accessibility
Consider genetic background effects:
Different C. glabrata strains may show variable phenotypes
Compensatory mechanisms may mask knockout effects in certain strains
Strain-specific genetic interactions may influence results
Evaluate cellular context:
Methodological troubleshooting matrix:
| Observation | Possible Cause | Recommended Action |
|---|---|---|
| Activity in vitro but not in vivo | Missing cofactors or interacting partners | Perform pull-down experiments to identify interacting proteins |
| Strain-dependent phenotypes | Genetic background differences | Test in multiple validated laboratory and clinical strains |
| Inconsistent localization patterns | Tag interference or overexpression artifacts | Use genomic integration at native locus with native promoter |
| Substrate-dependent activity variations | Substrate specificity differences | Expand substrate panel, test physiological substrates |
A comprehensive bioinformatic analysis should include:
Promoter analysis:
RNA structure prediction:
Analyze 5' and 3' UTRs for regulatory RNA structures
Identify potential miRNA binding sites
Predict RNA-binding protein interaction motifs
Comparative genomics:
Align regulatory regions across Candida species
Identify conserved non-coding sequences as potential functional elements
Compare with related thioesterases to identify common regulatory patterns
Epigenetic analysis:
Analyze ChIP-seq data for histone modifications at the CAGL0D02398g locus
Identify potential DNA methylation sites
Map nucleosome positioning in the promoter region
Recent research suggests that targeting protein deacylation pathways could yield novel antifungals . For CAGL0D02398g:
Structure-based inhibitor design:
Generate high-resolution structures through X-ray crystallography or cryo-EM
Identify unique binding pockets absent in human homologs
Design competitive inhibitors that mimic transition states
Validate using enzyme assays and cell-based studies
Peptide-based inhibitors:
Potential development pathway:
Initial screening: Test compound libraries against purified enzyme
Secondary screening: Cell-based assays in C. glabrata
Lead optimization: Improve potency, selectivity, and pharmacokinetics
Preclinical testing: Animal models of Candida infection
Biofilm formation represents a major virulence factor and contributes to antifungal resistance. To investigate CAGL0D02398g's role:
Biofilm assays:
Compare biofilm formation between wild-type and CAGL0D02398g knockout strains
Quantify using crystal violet staining, confocal microscopy, and metabolic assays
Analyze extracellular matrix composition and structure
Mixed-species biofilms:
Evaluate C. glabrata-C. albicans mixed biofilms with and without CAGL0D02398g
Assess spatial organization using fluorescently labeled strains
Measure species-specific contributions to biomass and matrix
Antifungal susceptibility:
Determine minimum inhibitory concentrations (MICs) for planktonic and biofilm cells
Test multiple antifungal classes (azoles, echinocandins, polyenes)
Measure persister cell formation in CAGL0D02398g mutants
Mechanistic studies:
Identify acylated adhesins regulated by CAGL0D02398g
Measure cell surface hydrophobicity changes in mutants
Analyze transcriptional changes in biofilm-related genes
Understanding the role of CAGL0D02398g in host adaptation requires:
Infection models:
Murine systemic candidiasis model comparing wild-type and knockout strains
Tissue-specific colonization assays (kidney, liver, spleen)
Ex vivo macrophage interaction studies measuring phagocytosis and survival
Stress response profiling:
Test growth under conditions mimicking host environments:
a. Oxidative stress (H₂O₂, menadione)
b. Nitrosative stress (GSNO)
c. Nutrient limitation (carbon, nitrogen, iron)
d. pH variation (pH 4-8)
Measure CAGL0D02398g expression under these conditions
Host-pathogen protein interaction studies:
Identify host proteins interacting with CAGL0D02398g substrates
Analyze how deacylation affects these interactions
Determine impact on immune recognition and evasion
Rigorous controls are critical for reliable deacylation assays:
Enzyme controls:
Substrate controls:
Non-acylated version of the same peptide/protein
Substrate with non-hydrolyzable acyl analog
Different acyl chain length variants to assess specificity
Assay condition controls:
Enzyme concentration titration to ensure linear range
Time course to determine initial velocity conditions
Buffer-only reactions to establish background hydrolysis rates
Inhibitor validation:
Known thioesterase inhibitors (e.g., palmostatin B) as positive controls
Structurally related non-inhibitory compounds as negative controls
Concentration-response curves to determine IC₅₀ values
To investigate how post-translational modifications affect CAGL0D02398g:
Phosphorylation analysis:
Identify potential phosphorylation sites using prediction algorithms
Generate phosphomimetic (Ser/Thr to Asp/Glu) and phosphodeficient (Ser/Thr to Ala) mutants
Compare enzymatic activity and localization of mutants
Use Phos-tag gels to detect phosphorylated forms in vivo
Mass spectrometry approaches:
Immunoprecipitate CAGL0D02398g from cells under different conditions
Perform LC-MS/MS analysis to identify and quantify modifications
Compare modification patterns during stress, host interaction, or drug treatment
Site-directed mutagenesis:
Systematically mutate modified residues
Assess effects on:
a. Enzyme activity using in vitro assays
b. Protein stability through pulse-chase experiments
c. Subcellular localization via fluorescence microscopy
d. Protein-protein interactions via co-immunoprecipitation
To investigate protein complex formation:
Co-immunoprecipitation studies:
Express epitope-tagged CAGL0D02398g in C. glabrata
Perform pull-downs under native conditions
Identify interacting partners using mass spectrometry
Validate interactions using reciprocal co-IPs
Size exclusion chromatography:
Analyze native protein extracts or purified components
Compare elution profiles with size standards
Identify fractions containing CAGL0D02398g activity
Analyze composition of active fractions by western blotting or mass spectrometry
Proximity-based approaches:
Implement split-reporter systems (BiFC, FRET) to visualize interactions in vivo
Use crosslinking mass spectrometry to capture transient interactions
Apply BioID or APEX2 proximity labeling to identify neighboring proteins
Research on CAGL0D02398g has several potential clinical applications:
Diagnostic biomarker development:
Design antibodies or aptamers specific to CAGL0D02398g
Develop rapid detection methods for C. glabrata in mixed infections
Create assays that distinguish drug-resistant from susceptible strains
Novel therapeutic strategies:
Virulence prediction:
Correlate CAGL0D02398g expression or polymorphisms with clinical outcomes
Develop molecular tests to predict virulence potential of clinical isolates
Guide personalized antifungal therapy based on molecular profiling
Comparative analysis reveals:
Evolutionary conservation:
Thioesterases are conserved across pathogenic fungi but show species-specific adaptations
CAGL0D02398g likely represents a specialized adaptation in C. glabrata
Similar enzymes in other Candida species may have divergent functions
Functional differences:
Research gaps:
Limited structural information across fungal thioesterases
Incomplete understanding of regulatory mechanisms
Need for comprehensive substrate identification
Future directions:
Comparative functional genomics across Candida species
Investigation of thioesterase roles in emerging pathogenic fungi
Systems biology approaches to model protein acylation/deacylation networks