Recombinant Candida glabrata Protein BSP1 (BSP1), partial, is a protein produced using recombinant DNA technology from the yeast Candida glabrata (strain ATCC 2001 / CBS 138 / JCM 3761 / NBRC 0622 / NRRL Y-65) . It is a partial sequence of the BSP1 protein .
| Attribute | Description |
|---|---|
| Product Code | CSB-BP738798CZI |
| Abbreviation | BSP1 |
| Uniprot No. | Q6FQG3 |
| Product Type | Recombinant Protein |
| Immunogen Species | Candida glabrata (strain ATCC 2001 / CBS 138 / JCM 3761 / NBRC 0622 / NRRL Y-65) (Yeast) (Torulopsis glabrata) |
| Purity | >85% (SDS-PAGE) |
| Sequence | MTKDAEVEEF LKRVEDLDGK INKPPIVKKK PQHLSTTPIE NDDTLDGNLV YKSAFNYEKS FGSKKPVGVI GLDKEDDRKF LVSEEDYKLL QKIKMEQQQQ HLSERHHRHI EPVRHIIPDR HSKPIFHNEP VIVREESEDE APPLPSRNRA |
| Storage Conditions | Liquid form: 6 months at -20°C/-80°C; Lyophilized form: 12 months at -20°C/-80°C |
While specific functions of BSP1 in Candida glabrata are not detailed, Candida glabrata employs various mechanisms for survival and interaction within its environment. One notable protein, Yhi1, secreted by C. glabrata, induces hyphal growth in Candida albicans, facilitating host tissue invasion . The expression and efflux of Yhi1 are regulated by the mating MAPK signaling pathway and the pheromone transporter CgSte6 . A novel functional pentapeptide motif (AXVXH) is essential for Yhi1 function .
Candida glabrata is known for its ability to develop resistance to antifungal drugs . Genomic analysis has revealed that a significant portion of azole or echinocandin-resistant isolates do not have exclusive polymorphisms in PDR1 or FKS1/2, suggesting alternative genetic mechanisms of antifungal resistance . Multidrug resistance has been frequently reported in C. glabrata isolates . PDR1 mutations in C. glabrata can enhance adhesion to epithelial cells, increasing the expression of the epithelial adhesin gene EPA1 .
KEGG: cgr:CAGL0I06446g
STRING: 284593.XP_447531.1
Recombinant Candida glabrata Protein BSP1 (BSP1) is a partial length protein derived from the pathogenic yeast Candida glabrata. The specific product referenced (CSB-MP738798CZI) is produced in mammalian cell expression systems with a purity greater than 85% as determined by SDS-PAGE analysis. BSP1 is identified by the UniProt accession number Q6FQG3, and originates from Candida glabrata strain ATCC 2001/CBS 138/JCM 3761/NBRC 0622/NRRL Y-65, also known as Torulopsis glabrata . The recombinant protein typically includes a tag for purification and detection purposes, though the specific tag type may vary between manufacturing batches and should be confirmed for each lot received.
The shelf life and stability of recombinant BSP1 depend on several factors including storage conditions, buffer components, temperature, and the inherent stability of the protein. For optimal results:
Store lyophilized form at -20°C or -80°C, where it typically maintains stability for up to 12 months
Store reconstituted liquid form at -20°C or -80°C for up to 6 months
Avoid repeated freeze-thaw cycles as these significantly reduce protein activity
Working aliquots can be stored at 4°C for up to one week
Briefly centrifuge vials prior to opening to bring contents to the bottom
After reconstituting the protein, prepare small working aliquots to minimize freeze-thaw cycles. Record the date of reconstitution and number of freeze-thaw cycles on each tube to monitor protein quality.
For optimal reconstitution of lyophilized BSP1:
Centrifuge the vial briefly to collect the protein at the bottom
Reconstitute in sterile deionized water to achieve a final concentration of 0.1-1.0 mg/mL
Add glycerol to a final concentration of 5-50% (manufacturer's default is 50%)
Gently mix to ensure complete dissolution without creating foam
Prepare small working aliquots and store at -20°C/-80°C for long-term storage
Avoid vigorous vortexing which can lead to protein denaturation. If the protein does not dissolve readily, gentle rotation at 4°C for 1-2 hours may help achieve complete solubilization.
To verify the quality and identity of recombinant BSP1, researchers should consider implementing the following procedures:
SDS-PAGE analysis to confirm molecular weight and purity (expected >85%)
Western blot analysis using antibodies against BSP1 or the fusion tag
Mass spectrometry for precise molecular weight determination and sequence coverage
Functional assays based on known or predicted activities of BSP1
Protein concentration determination using standard methods (Bradford, BCA, or UV absorption at 280 nm)
Quality control data should be documented and compared with the manufacturer's certificate of analysis. Any discrepancies should be noted and may necessitate further quality control measures before experimental use.
While the specific function of BSP1 in Candida glabrata is not fully characterized in the provided literature, research on C. glabrata proteins suggests potential roles in pathogenesis, stress response, or interspecies interactions. C. glabrata secretes proteins that can influence relationships with other Candida species, particularly C. albicans. For example, C. glabrata produces a small protein called Yhi1 that induces hyphal growth in C. albicans, which is essential for host tissue invasion .
The relationship between BSP1 and other functionally characterized C. glabrata proteins remains an area for further investigation. Unlike C. albicans, C. glabrata has unique molecular mechanisms for antifungal drug resistance, including the Pdr1 transcriptional activator that regulates expression of various genes including those encoding ABC transporters and other proteins involved in drug resistance . Understanding BSP1 in this context could reveal whether it plays a role in these pathways.
Designing robust experiments to investigate BSP1-host immune interactions requires a multifaceted approach:
In vitro binding assays:
ELISA-based binding assays with host immune factors
Surface plasmon resonance (SPR) for quantitative binding kinetics
Pull-down assays followed by mass spectrometry to identify binding partners
Cell-based assays:
Human immune cell stimulation assays measuring cytokine responses
Flow cytometry to assess immune cell activation markers
Reporter cell lines expressing pattern recognition receptors
Structural studies:
Epitope mapping to identify immunologically relevant regions
Crystallography or cryo-EM studies of BSP1-immune receptor complexes
In vivo approaches:
Mouse models of C. glabrata infection comparing wild-type and BSP1-deficient strains
Transgenic mice lacking specific immune factors to assess their role in BSP1 recognition
Each experimental approach should include appropriate controls, including heat-inactivated protein, irrelevant proteins of similar size/structure, and endotoxin testing to ensure observed effects are specific to BSP1.
To investigate BSP1's potential role in C. glabrata drug resistance, researchers should consider these methodological approaches:
Gene expression correlation analysis:
Genetic manipulation:
Generate BSP1 knockout strains using CRISPR-Cas9 or traditional methods
Create BSP1 overexpression strains
Assess changes in minimum inhibitory concentrations (MICs) for various antifungals
ChIP-seq analysis:
Protein interaction studies:
Identify potential interactions between BSP1 and drug efflux pumps
Assess BSP1 localization during drug exposure using fluorescent tagging
Transcriptomic analysis:
RNA-seq comparing wild-type and BSP1-modified strains with and without drug exposure
Network analysis to place BSP1 within the broader drug response pathway
The approaches should focus on whether BSP1 functions as a direct component of resistance mechanisms or plays a supporting role in the stress response to antifungal exposure.
Recombinant BSP1 could be valuable for studying polymicrobial infections involving C. glabrata:
Inter-species communication:
Host-pathogen interaction modeling:
Develop 3D tissue models incorporating multiple fungal species and host cells
Compare infection dynamics with and without BSP1 supplementation
Analyze transcriptional changes in both fungal species and host cells in response to BSP1
Diagnostic development:
Evaluate BSP1 as a potential biomarker for C. glabrata in mixed infections
Develop antibodies against BSP1 for immunodiagnostic applications
Assess correlation between BSP1 levels and disease severity
Therapeutic targeting:
Screen for compounds that specifically inhibit BSP1 function
Evaluate phenotypic changes in mixed-species biofilms when BSP1 is neutralized
Understanding how BSP1 contributes to C. glabrata's interactions with other pathogens could provide insights into the complex dynamics of polymicrobial infections, which are often more difficult to treat than single-species infections.
Optimizing Western blot protocols for BSP1 detection requires attention to several key parameters:
Sample preparation:
Use fresh protein samples whenever possible
Include protease inhibitors in lysis buffers
Determine optimal denaturation conditions (reducing vs. non-reducing)
Find optimal protein loading amount (typically 10-50 μg of total protein)
Electrophoresis conditions:
Select appropriate gel percentage based on BSP1's molecular weight
Consider gradient gels for better resolution
Optimize running time and voltage
Transfer optimization:
Select appropriate membrane (PVDF typically works better for smaller proteins)
Optimize transfer time and voltage
Consider semi-dry vs. wet transfer based on protein size
Blocking and antibody incubation:
Test different blocking agents (5% milk, 5% BSA, commercial blockers)
Titrate primary antibody concentrations
Determine optimal incubation time and temperature
If using tag-specific antibodies, ensure the tag hasn't been cleaved
Detection optimization:
Compare chemiluminescence vs. fluorescence detection
Consider signal amplification methods for low abundance proteins
Optimize exposure times
A systematic approach testing these variables will yield the most sensitive and specific detection protocol for BSP1.
When designing experiments with recombinant BSP1, include these essential controls:
Protein-specific controls:
Heat-denatured BSP1 (negative control)
Tag-only protein (to distinguish tag effects from BSP1-specific effects)
Related proteins from the same family (specificity control)
Empty vector expression product (expression system control)
Experimental system controls:
Endotoxin testing and control (crucial for immunological studies)
Buffer-only control (vehicle control)
Positive control (known inducer of expected response)
Dose-response assessment (to establish specific vs. non-specific effects)
Validation controls:
Independent methods to confirm observations
Inhibitors or neutralizing antibodies to confirm specificity
Genetic knockdown/knockout of potential receptors or targets
Time-course experiments to establish causality
Proper controls help distinguish true BSP1-specific effects from artifacts and ensure experimental reproducibility and validity.
If encountering solubility or stability issues with recombinant BSP1, consider these approaches:
Buffer optimization:
Screen different pH conditions (typically 6.0-8.0)
Test various salt concentrations (50-500 mM NaCl)
Add stabilizing agents (5-10% glycerol, 1-5 mM DTT, 0.1% Triton X-100)
Include protease inhibitors to prevent degradation
Solubilization strategies:
Gentle detergents at low concentrations (0.05-0.1% Tween-20 or NP-40)
Arginine or proline as stabilizing agents (50-500 mM)
Protein stabilizing cocktails (commercial options available)
Storage optimization:
Lyophilization with appropriate cryoprotectants
Storage in small single-use aliquots
Addition of carrier proteins (BSA at 0.1-1%)
Storage in non-stick tubes to prevent surface adsorption
Activity preservation strategies:
Identify optimal temperature range for functional studies
Determine if metal ions are required for stability/function (add EDTA or specific ions)
Consider alternative tags or fusion partners that enhance solubility
Systematic testing of these conditions through stability assays (thermal shift assays, activity measurement over time) will help establish optimal handling protocols for BSP1.
When confronted with contradictory results regarding BSP1 function, implement this systematic analysis approach:
Assess experimental differences:
Compare protein preparation methods (expression system, purification approach)
Evaluate buffer compositions and experimental conditions
Review cell lines or model systems used (species differences, cell types)
Compare protein concentrations tested (dose-dependent effects)
Statistical analysis:
Determine if contradictions are statistically significant
Assess power calculations to ensure adequate sample sizes
Consider variability within and between experiments
Evaluate effect sizes rather than just statistical significance
Biological context:
Consider whether BSP1 may have context-dependent functions
Examine potential co-factors or interaction partners present in different systems
Assess post-translational modifications that may differ between systems
Evaluate whether full-length vs. partial protein could explain differences
Integration strategies:
Develop testable hypotheses that could explain contradictions
Design experiments specifically targeting the source of contradictions
Consider computational modeling to integrate diverse datasets
Collaborate with groups reporting contradictory results to standardize protocols
Contradictory results often reveal important biological nuances rather than experimental errors and should be viewed as opportunities to develop more sophisticated models of protein function.
Several bioinformatic approaches can provide insights into BSP1 function:
Sequence-based analyses:
Homology searches to identify related proteins with known functions
Domain and motif prediction to identify functional regions
Sequence conservation analysis across Candida species
Disorder prediction to identify flexible regions important for interactions
Structural predictions:
Secondary structure prediction
3D structure modeling using AlphaFold or similar tools
Molecular docking with potential interaction partners
Binding site prediction and analysis
Functional predictions:
Interaction predictions:
Protein-protein interaction (PPI) network analysis
Integration with experimental PPI data from related fungi
Text mining of scientific literature for potential associations
Interface prediction for protein complex formation
These computational approaches generate testable hypotheses about BSP1 function that can guide experimental design and help interpret results in a broader biological context.
Several cutting-edge technologies could significantly enhance BSP1 research:
Advanced imaging techniques:
Super-resolution microscopy to track BSP1 localization during infection
Live cell imaging with fluorescently tagged BSP1
Correlative light and electron microscopy (CLEM) to visualize BSP1 at ultrastructural level
Intravital microscopy to observe BSP1 dynamics during infection in vivo
Single-cell approaches:
Single-cell RNA-seq to assess heterogeneity in BSP1 expression
Spatial transcriptomics to map BSP1 expression in the context of infection sites
Mass cytometry (CyTOF) to simultaneously measure multiple parameters in host-pathogen interactions
Single-cell proteomics to detect cell-specific responses to BSP1
Genome editing technologies:
CRISPR interference (CRISPRi) for tunable gene repression
Base editing for precise mutation introduction
Optogenetic control of BSP1 expression
Fungal-specific conditional knockout systems
Systems biology approaches:
Multi-omics integration (genomics, transcriptomics, proteomics, metabolomics)
Network modeling of BSP1 within fungal virulence pathways
Machine learning applications to predict BSP1 interactions and functions
Pharmacogenomic screening to identify BSP1-targeting compounds
These technologies could reveal previously unappreciated aspects of BSP1 biology and place it within the broader context of fungal pathogenesis mechanisms.
BSP1 research could contribute to antifungal development through several avenues:
Target-based approaches:
Structure-based drug design targeting BSP1 if it proves essential for virulence
Development of protein-protein interaction inhibitors if BSP1 forms critical complexes
Aptamer development for specific BSP1 neutralization
Antibody-based therapeutic strategies
Diagnostic applications:
BSP1-based biomarkers for early detection of C. glabrata infections
Immunodiagnostic tools for species identification in mixed infections
Monitoring BSP1 levels to assess treatment efficacy
Point-of-care diagnostics based on BSP1 detection
Resistance management:
Understanding BSP1's potential role in drug resistance networks
Developing combination therapies targeting BSP1-related pathways alongside conventional antifungals
Biofilm disruption strategies if BSP1 contributes to biofilm formation
Host-directed therapies modulating responses to BSP1
Immunotherapeutic potential:
Vaccine development if BSP1 proves immunogenic
Immunomodulatory approaches targeting host responses to BSP1
Development of chimeric antigen receptors targeting fungal-specific epitopes
Adjuvant development to enhance existing antifungal therapies
If BSP1 functions similarly to other C. glabrata proteins involved in regulating drug resistance mechanisms, it could represent an attractive target for developing adjunctive therapies to enhance the efficacy of existing antifungals.