Recombinant Staphylococcus saprophyticus subsp. saprophyticus UPF0344 protein SSP1805 (SSP1805) is a synthetic version of a bacterial protein produced via recombinant DNA technology. It is derived from the Staphylococcus saprophyticus subsp. saprophyticus strain ATCC 15305/DSM 20229 and corresponds to the gene SSP1805 (Uniprot ID: Q49WA9). While its specific biological function remains classified as "hypothetical," it is commercially available for research applications, including immunological assays and structural studies .
The protein’s AA sequence (partial) reveals hydrophobic regions (e.g., "mLHMHIASWVLLIILFFAAYFNFSEKQGASPYFKPIHmLLRLFmLLVLISGFWVWIQSFS SGAAGGHmLLTLKMICGVAVVALMEVTITKRKKGQPSHGLMWTTIVVIILTMIIGIILPM GPITQMFGL"), suggesting potential membrane association or interaction with lipid environments .
While direct functional evidence for SSP1805 is lacking, S. saprophyticus is known for:
Biofilm Formation: Over 90% of clinical isolates produce biofilms, primarily composed of proteins or protein-DNA-polysaccharide matrices .
Surface-Associated Proteins: The species produces virulence factors like Ssp (a lipase) and Aas (autolysin adhesin), which mediate adhesion and pathogenicity .
SSP1805 may share functional homology with these proteins, though its specific role in biofilm formation, adherence, or immune evasion remains uncharacterized.
Functional Annotation: SSP1805 is annotated as a hypothetical protein due to insufficient experimental evidence.
Pathogenicity Role: No studies directly link SSP1805 to biofilm formation, immune evasion, or host interaction.
Evolutionary Context: Unlike the ica cluster (acquired via horizontal gene transfer in S. saprophyticus), SSP1805’s origin and niche specificity are unclear .
Structural Studies: Crystallography or NMR to elucidate tertiary structure.
Functional Screens: Knockout mutants in S. saprophyticus to assess phenotypic changes (e.g., biofilm defects).
Immune Response Profiling: Use ELISA to correlate SSP1805 antibodies with clinical outcomes in UTIs.
KEGG: ssp:SSP1805
STRING: 342451.SSP1805
The UPF0344 protein SSP1805 is a protein from Staphylococcus saprophyticus subsp. saprophyticus that belongs to the UPF0344 protein family . It is classified as a hypothetical protein because its function has not been experimentally determined or verified, despite its sequence being identified through genomic sequencing. The protein is encoded by either the SSP1805 gene or alternatively designated as SSP_RS09070 in some genomic annotations . The classification as "hypothetical" indicates that while the open reading frame exists in the genome and is predicted to be expressed, the biological role of the resulting protein remains uncharacterized. Researchers studying hypothetical proteins typically employ a combination of bioinformatic analyses, structural predictions, and experimental approaches to elucidate their functions.
Multiple expression systems are available for the recombinant production of SSP1805 protein, each offering distinct advantages for different research applications. These include:
Cell-free expression systems - Allow for rapid protein production without the constraints of cell viability, particularly useful for potentially toxic proteins .
E. coli-based expression - The most commonly used system, offering high yields and cost-effectiveness for basic structural and functional studies .
Yeast expression systems - Provide eukaryotic post-translational modifications while maintaining relatively high protein yields .
Baculovirus-infected insect cells - Offer complex eukaryotic protein processing capabilities suitable for proteins requiring specific modifications .
Mammalian cell expression - Provides the most sophisticated post-translational modification machinery, ideal for studying proteins in a context closer to higher organisms .
The selection of an expression system should be based on specific research objectives, required protein yield, post-translational modification needs, and downstream applications.
Validation of recombinant SSP1805 should follow a multi-technique approach to ensure both identity and quality. Standard validation protocols include:
SDS-PAGE analysis to assess purity (target ≥85%) and apparent molecular weight .
Western blotting with antibodies against either the target protein or affinity tags.
Mass spectrometry (MS) for accurate molecular weight determination and peptide mapping.
Circular dichroism (CD) spectroscopy to verify proper protein folding.
Dynamic light scattering (DLS) to assess protein homogeneity and aggregation state.
A comprehensive validation table should include:
| Validation Method | Parameter Measured | Acceptance Criteria |
|---|---|---|
| SDS-PAGE | Purity, MW | Single dominant band at expected MW, ≥85% purity |
| Western Blot | Identity | Positive signal at expected MW |
| Mass Spectrometry | Exact mass, peptide coverage | Mass within 0.1% of theoretical, ≥70% sequence coverage |
| Circular Dichroism | Secondary structure | Spectrum consistent with predicted structure |
| DLS | Homogeneity | Monodisperse population, absence of large aggregates |
Validation data should be thoroughly documented to ensure reproducibility across experiments and between different batches of the recombinant protein.
To understand the potential role of SSP1805 in S. saprophyticus virulence, researchers must consider the broader context of this pathogen's virulence mechanisms. S. saprophyticus is known to cause urinary tract infections (UTIs) through several virulence factors, including urease, surface proteins, and D-serine-deaminase protein (DsdA) . Although SSP1805 is currently classified as a hypothetical protein, several experimental approaches can help determine its potential role in virulence:
Comparative proteomics between virulent strains (like 9325) and less virulent strains to assess SSP1805 expression levels .
Interaction studies with known virulence factors or regulatory systems.
Knockout or knockdown studies to observe phenotypic changes in virulence-associated behaviors.
Host-pathogen interaction assays comparing wild-type and SSP1805-deficient strains.
Research on S. saprophyticus has demonstrated significant proteomic flexibility among different strains, which correlates with differences in virulence and persistence capabilities . If SSP1805 shows differential expression patterns between strains with varying virulence (such as strains 9325, 7108, and ATCC 15305), this could suggest a potential role in pathogenicity.
Elucidating the protein-protein interactions of SSP1805 is crucial for understanding its biological function. Multiple complementary approaches should be employed:
Affinity-based methods:
Co-immunoprecipitation (Co-IP) with tagged SSP1805
Pull-down assays with GST or His-tagged SSP1805
Proximity-dependent biotin identification (BioID)
Biophysical techniques:
Surface plasmon resonance (SPR)
Isothermal titration calorimetry (ITC)
Microscale thermophoresis (MST)
Crosslinking approaches:
Chemical crosslinking followed by MS (XL-MS)
Photo-affinity labeling
Library screening methods:
Yeast two-hybrid (Y2H) screening
Bacterial two-hybrid screening
Phage display
For a comprehensive interaction study, researchers should develop a hierarchical workflow beginning with high-throughput screening methods followed by validation using multiple orthogonal techniques. This approach minimizes false positives while providing quantitative interaction parameters.
When publishing interaction data, tables should include the following:
| Interacting Partner | Detection Method | Interaction Parameters | Biological Significance |
|---|---|---|---|
| Protein X | Y2H, Co-IP, SPR | Kd = xx μM, Stoichiometry | Potential role in function Y |
| Protein Z | BioID, SPR | Kd = xx μM | Suggests involvement in process Z |
Bacterial regulatory networks are complex and often involve two-component systems, transcription factors, and other regulatory elements. To determine if SSP1805 functions within such networks:
Transcriptomic analysis:
RNA-seq comparing wild-type and SSP1805 knockout strains
qPCR validation of differentially expressed genes
Chromatin immunoprecipitation (ChIP) approaches:
ChIP-seq to identify potential DNA binding if SSP1805 has DNA-binding domains
ChIP-qPCR for targeted analysis of specific promoter regions
Reporter gene assays:
Construction of promoter-luciferase fusions for potential target genes
Analysis of expression in response to SSP1805 levels
Gel-shift assays:
Electrophoretic mobility shift assays (EMSA) to detect direct DNA binding
Competition assays to determine binding specificity
A methodical approach would involve first identifying whether SSP1805 expression correlates with known regulatory systems in S. saprophyticus. For example, in S. aureus, regulatory proteins like SA1804 work in conjunction with two-component systems like SaeRS to regulate virulence factors . Similar regulatory relationships might exist for SSP1805 in S. saprophyticus.
Creating and validating an SSP1805 knockout strain requires a systematic approach to ensure the specificity of the genetic modification and proper phenotypic characterization:
Knockout strategy selection:
Allelic replacement via homologous recombination
CRISPR-Cas9 genome editing
Transposon mutagenesis (less specific)
Validation of genetic modification:
PCR verification of the modified genomic region
Whole-genome sequencing to confirm absence of off-target effects
RT-qPCR to confirm absence of SSP1805 transcript
Western blotting to confirm absence of SSP1805 protein
Complementation studies:
Reintroduction of SSP1805 gene via plasmid expression
Verification of phenotype restoration
Phenotypic characterization:
Growth curves under various conditions
Virulence assays (cell invasion, macrophage survival)
Biofilm formation capacity
Comparative proteomics
A validation table for the knockout strain should document:
| Validation Parameter | Method | Expected Result in WT | Expected Result in Knockout | Expected Result in Complemented Strain |
|---|---|---|---|---|
| SSP1805 gene | PCR | Present | Absent/Modified | Present (plasmid) |
| SSP1805 transcript | RT-qPCR | Detectable | Undetectable | Detectable |
| SSP1805 protein | Western blot | Detectable | Undetectable | Detectable |
| Growth rate | Growth curve | Baseline | Potential difference | Similar to WT |
| Virulence phenotype | Invasion assay | Baseline | Potential difference | Similar to WT |
Given that S. saprophyticus strains show variable biofilm formation capabilities , investigating SSP1805's potential role in this process is scientifically relevant. A comprehensive experimental design would include:
Comparative expression analysis:
qPCR measurement of SSP1805 expression in planktonic versus biofilm growth
Proteomic analysis of biofilm versus planktonic cells, focusing on SSP1805 abundance
Phenotypic analysis of SSP1805 knockout:
Quantitative biofilm assays using crystal violet staining
Confocal laser scanning microscopy (CLSM) of biofilm architecture
Flow cell biofilm formation analysis
Measurement of extracellular polymeric substance (EPS) production
Biofilm formation under varying conditions:
Nutrient limitation
Subinhibitory antibiotic concentrations
Environmental stressors (pH, temperature)
Host-relevant conditions (artificial urine medium)
Molecular interactions within biofilms:
Co-immunoprecipitation to identify interaction partners in biofilm vs. planktonic states
Localization studies using fluorescently tagged SSP1805
Results should be presented in tables comparing the wild-type, knockout, and complemented strains:
| Biofilm Parameter | Measurement Method | WT Strain | SSP1805 Knockout | Complemented Strain |
|---|---|---|---|---|
| Biofilm biomass | Crystal violet assay (OD570) | Baseline | Higher/Lower/Same | Similar to WT |
| EPS production | Carbohydrate/protein quantification | Baseline | Higher/Lower/Same | Similar to WT |
| Biofilm architecture | CLSM (thickness, roughness) | Baseline | Detailed differences | Similar to WT |
| Antibiotic tolerance | Minimal biofilm eradication concentration | Baseline | Higher/Lower/Same | Similar to WT |
Proteomic analysis provides valuable insights into the expression, localization, and interactions of proteins like SSP1805. For studying SSP1805 in the context of virulence, researchers should consider:
Comparative proteomics:
Subcellular fractionation:
Separate analysis of cytoplasmic, membrane, and secreted fractions
Localization of SSP1805 in different cellular compartments
Post-translational modification (PTM) analysis:
Phosphoproteomics to detect phosphorylation events
Other PTM analyses as relevant (glycosylation, acetylation)
Interaction proteomics:
Immunoprecipitation coupled with mass spectrometry (IP-MS)
Cross-linking MS for capturing transient interactions
Hydrogen-deuterium exchange MS for structural insights
An experimental design table should outline:
| Proteomic Approach | Sample Types | Technical Parameters | Expected Outcomes |
|---|---|---|---|
| Comparative proteomics | WT vs. Knockout, Various conditions | LC-MS/MS, 1% FDR | Differential protein expression profiles |
| Secretome analysis | Culture supernatants | Concentration methods, LC-MS/MS | Identification of differentially secreted proteins |
| Phosphoproteomics | Cell lysates | Phosphopeptide enrichment, LC-MS/MS | Phosphorylation sites and affected pathways |
| Interaction analysis | IP samples | Cross-linking, LC-MS/MS | Protein-protein interaction network |
Interpreting conflicting data is a common challenge in characterizing hypothetical proteins like SSP1805. A systematic approach includes:
Critical evaluation of methodological differences:
Assess variations in experimental conditions, strain backgrounds, and reagents
Evaluate the sensitivity and specificity of each method
Consider biological versus technical replicates
Hierarchical weighting of evidence:
In vivo studies generally provide more biologically relevant insights than in vitro studies
Direct biochemical evidence often outweighs correlative or computational predictions
Consider reproducibility across independent laboratories
Integration of multiple data types:
Create data integration tables comparing results across methods
Develop consensus models that accommodate seemingly contradictory results
Consider that proteins often have multiple functions in different contexts
Follow-up validation experiments:
Design experiments specifically to resolve contradictions
Use orthogonal approaches to verify key findings
Consider conditional or context-dependent effects
A data interpretation framework might look like:
| Finding | Method 1 Result | Method 2 Result | Method 3 Result | Consensus Interpretation |
|---|---|---|---|---|
| SSP1805 role in virulence | Positive correlation | No effect | Context-dependent | Likely conditional effect dependent on specific factors |
| SSP1805 localization | Membrane-associated | Cytoplasmic | Both, depending on conditions | Dynamic localization based on cellular state |
| Regulatory function | Acts as activator | Acts as repressor | Different targets | Dual regulatory role depending on target genes |
Experimental design considerations:
Power analysis to determine appropriate sample sizes
Inclusion of biological and technical replicates
Randomization and blinding where applicable
Appropriate controls (wild-type, complemented strain, empty vector)
Statistical tests for different data types:
Continuous variables (growth rates, biofilm biomass): t-tests or ANOVA with post-hoc tests
Survival data: Kaplan-Meier analysis with log-rank tests
Count data: Chi-square or Fisher's exact tests
Non-normally distributed data: Non-parametric alternatives (Mann-Whitney, Kruskal-Wallis)
Multiple testing corrections:
Data presentation guidelines:
A statistical analysis plan should be documented as:
| Phenotype | Data Type | Statistical Test | Sample Size Justification | Multiple Testing Correction |
|---|---|---|---|---|
| Growth rate | Continuous | ANOVA with Tukey's post-hoc | Based on power analysis (β=0.8, α=0.05) | Bonferroni for family-wise comparisons |
| Invasion capacity | Count data | Chi-square | Based on previous studies | FDR correction |
| Survival in macrophages | Time-to-event | Log-rank test | Based on previous studies | N/A (single comparison) |
S. saprophyticus strains demonstrate significant phenotypic and proteomic differences that affect their virulence and persistence capabilities . Research on SSP1805 can provide valuable insights into these strain-specific differences through:
Comparative genomic and expression analyses:
Examination of SSP1805 sequence variations across clinical isolates
Correlation of expression levels with virulence phenotypes
Identification of strain-specific regulatory mechanisms controlling SSP1805
Functional studies across strain backgrounds:
Creation of SSP1805 knockouts in multiple strain backgrounds (e.g., ATCC 15305, 7108, 9325)
Comparison of phenotypic effects in different genetic backgrounds
Assessment of strain-specific interaction partners
Host-pathogen interaction studies:
Evaluation of SSP1805 contribution to macrophage survival in different strains
Assessment of epithelial cell invasion capacity and the role of SSP1805
Host response to different strains with and without SSP1805
A strain comparison table might present:
| S. saprophyticus Strain | SSP1805 Expression Level | Virulence Phenotype | Macrophage Survival Rate | Biofilm Formation | Effect of SSP1805 Knockout |
|---|---|---|---|---|---|
| ATCC 15305 (reference) | Baseline | Intermediate | Intermediate (similar to 9325) | Intermediate | To be determined |
| 7108 (non-capsular) | Lower/Higher/Same | Lower virulence | Lowest survival rate | Highest ability | To be determined |
| 9325 (highly capsular) | Lower/Higher/Same | Highest virulence | Highest survival rate | Lowest ability | To be determined |
Based on current knowledge of S. saprophyticus and hypothetical proteins like SSP1805, several promising research directions emerge:
Structural biology approaches:
X-ray crystallography or cryo-EM to determine SSP1805 structure
Structure-function analysis to identify active sites or interaction domains
Molecular dynamics simulations to predict functional properties
Systems biology integration:
Multi-omics approaches combining transcriptomics, proteomics, and metabolomics
Network analysis to position SSP1805 within cellular pathways
Machine learning approaches to predict function from diverse data types
Host-pathogen interaction focus:
Investigation of SSP1805's role during different stages of infection
Identification of host targets or immune responses to SSP1805
Development of cell and animal models to study SSP1805 in vivo
Translational research potential:
Assessment of SSP1805 as a diagnostic biomarker for S. saprophyticus infections
Evaluation as a potential vaccine candidate if surface-exposed
Exploration as a drug target if essential for virulence
A research roadmap might be structured as:
| Research Phase | Key Questions | Methodological Approaches | Expected Outcomes | Timeline |
|---|---|---|---|---|
| Structural characterization | What is the 3D structure? Are there known structural homologs? | X-ray crystallography, Homology modeling | Structural insights, Functional predictions | Short-term |
| Functional validation | What pathways involve SSP1805? What phenotypes are affected by its absence? | Knockouts, Comparative proteomics, Phenotypic assays | Confirmed biological role(s) | Medium-term |
| Host-pathogen dynamics | How does SSP1805 contribute to infection? Does it interact with host factors? | Infection models, Interaction studies | Understanding of role in pathogenesis | Medium to long-term |
| Translational applications | Can SSP1805 be targeted for diagnostics or therapeutics? | Biomarker studies, Inhibitor screening | Potential clinical applications | Long-term |