The Recombinant Staphylococcus epidermidis UPF0365 protein SERP1140, is a protein derived from the Staphylococcus epidermidis bacterium. Proteins are made by linking amino acids, where each protein has a unique amino acid sequence. The sequence, or order, of amino acids, also known as the protein’s primary structure, dictates the 3-D conformation that the folded protein will have, which determines the function of the protein .
SERP1140 is expressed during the exponential phase of growth in S. epidermidis . Western blot analysis has confirmed that Serp1129 is maximally produced during exponential growth, with expression peaking between 4 and 6 hours of growth and declining thereafter .
Bioinformatic analyses reveal that SERP1140 shares significant amino acid identity with ATP/GTP-binding proteins from other bacterial species . Functional studies have demonstrated that SERP1140 is indeed capable of binding both ATP and GTP, with a higher affinity for ATP .
S. epidermidis is known for its ability to form biofilms, which contribute to its persistence and virulence in clinical settings . While the specific role of SERP1140 in biofilm formation is not yet fully understood, its association with the MMSO suggests a potential involvement in regulating processes related to bacterial growth and adaptation .
Surface proteins of S. epidermidis are attractive targets for antimicrobial treatments . Given its surface exposure and potential role in biofilm formation, SERP1140 represents a promising candidate for the development of novel therapeutic strategies against S. epidermidis infections.
Studies have shown that S. epidermidis can degrade specific proteins in biofilm matrices through enzymes like Esp (extracellular serine protease) . Identifying surface proteins expressed during host-microbe interactions offers tools for discovering and designing novel antimicrobial treatments .
Found in functional membrane microdomains (FMMs), potentially equivalent to eukaryotic membrane rafts. FMMs exhibit high dynamism and increase in number with cellular aging. Flotillins are believed to play a significant role in regulating membrane fluidity.
KEGG: ser:SERP1140
STRING: 176279.SERP1140
SERP1140 is a UPF0365 family protein found in Staphylococcus epidermidis strain ATCC 35984 / RP62A. It is characterized by a 329 amino acid sequence with a molecular weight of approximately 50 μg per standard preparation . The protein contains a transmembrane domain with characteristic hydrophobic regions that suggest integration into the bacterial membrane. While its precise biological function remains under investigation, structural analysis indicates it may play a role in bacterial membrane integrity or cellular transport mechanisms. Unlike more extensively studied S. epidermidis proteins such as SdrG (a fibrinogen-binding protein) or Aap (accumulation-associated protein), SERP1140's specific contribution to bacterial physiology is still being elucidated .
SERP1140 differs significantly from better-characterized S. epidermidis surface proteins like SdrG and Aap. While SdrG is a surface-associated fibrinogen binding protein that increases expression during bloodstream infection , and Aap contains a parallel β-helix domain that influences intercellular adhesion , SERP1140 belongs to the UPF0365 protein family with distinct structural characteristics.
Its amino acid sequence reveals a membrane-spanning protein with the sequence: "MFSIGFIIIAVIIVVALLILFSFVPVGLWISALAAGVHVGIGTLVGMRLRRVSPRKVIAPLIKAHKAGLNLTTNQLESHYLAGGNVDRVVDANIAAQRADIDLPFERGAAIDLAGRDVLEAVQMSVNPKVIETPFIAGVAMNGIEVKAKARITVRANIARLVGGAGEETIIARVGEGIVSSTIGSSEHHTEVLENPDNISKTYLSKGLDSGTAFEILSIDIADVDISKNIGADLQTEQALADKNIAQAKAEERRAMAVASEQEMKARVQEMRAKVVEAESEVPLAMAEALRSGNIGVKDYYNLKNIEADTGMRNAINKRTDQNDDESPQQ" . Unlike SdrG, which has distinct N-terminal domains (N1N2N3) that are crucial for its function and immunogenicity , SERP1140's domain organization appears less complex but contains regions that suggest potential functional significance in membrane processes.
For optimal expression of recombinant SERP1140, E. coli-based expression systems typically provide sufficient yields for research purposes. Based on approaches used with similar S. epidermidis proteins, BL21(DE3) strains with pET vector systems offer a reliable platform for expression . The protein can be expressed with various tags (His, GST, or MBP) to facilitate purification, though the specific tag should be selected based on the intended experimental application .
When expressing transmembrane proteins like SERP1140, it's critical to optimize induction conditions to prevent formation of inclusion bodies. Recommended parameters include:
IPTG concentration: 0.1-0.5 mM
Induction temperature: 16-25°C
Induction duration: 12-18 hours
OD600 at induction: 0.6-0.8
For applications requiring native protein conformation, mammalian or insect cell expression systems may be preferable, especially when studying interactions with host proteins or for structural analysis requiring proper folding .
To elucidate SERP1140's function, a multi-faceted experimental approach is recommended. Single-subject experimental designs (SSEDs) can be particularly valuable for establishing causal relationships between SERP1140 expression and phenotypic outcomes . Consider implementing the following methodological framework:
Gene knockout studies: Create a SERP1140 deletion mutant in S. epidermidis using allelic replacement techniques. Compare growth kinetics, membrane integrity, and stress responses between wild-type and mutant strains under various environmental conditions.
Complementation analysis: Reintroduce SERP1140 into the deletion mutant under both native and inducible promoters to confirm phenotypic restoration, which validates gene function.
Protein localization: Employ immunofluorescence microscopy similar to techniques used for SdrG localization to determine SERP1140's distribution within the cell.
Interactome analysis: Identify protein interaction partners using pull-down assays with recombinant tagged SERP1140, followed by mass spectrometry to identify binding partners.
Transcriptional regulation studies: Analyze SERP1140 expression under various environmental conditions, similar to the approach used for SdrG , to identify potential regulators and expression cues.
When designing these experiments, robust controls are essential. Include isogenic strains expressing irrelevant proteins of similar size and localization to distinguish specific from non-specific effects .
Distinguishing between native and recombinant SERP1140 requires strategic experimental design and analytical techniques. For immunodetection methods, develop antibodies against both the whole protein and specific epitopes that may be altered or masked in the recombinant form. When using recombinant SERP1140 with fusion tags, design primers for quantitative PCR that specifically amplify either the fusion region (recombinant only) or regions common to both forms .
For proteomic analyses, consider the following approaches:
Mass spectrometry can identify post-translational modifications present in the native but not recombinant form
Size-exclusion chromatography can differentiate between different oligomeric states
Limited proteolysis patterns often differ between native and recombinant proteins due to subtle conformational differences
When conducting functional assays, include controls using heat-inactivated recombinant protein to distinguish between specific biological activity and non-specific effects. If studying membrane association, use differential centrifugation and membrane fractionation to compare subcellular localization patterns .
When faced with conflicting data regarding SERP1140's role in virulence, employ a systematic approach to resolve discrepancies:
Strain variation analysis: S. epidermidis is genetically diverse, and protein function may vary across strains. Sequence SERP1140 across multiple clinical and commensal isolates to identify polymorphisms that might explain functional differences .
Context-dependent expression studies: Similar to SdrG, which shows increased expression specifically in bloodstream conditions , SERP1140 may have context-dependent roles. Use quantitative transcriptomics and proteomics across multiple infection models (biofilm, bloodstream, indwelling device) to determine if expression patterns explain conflicting results.
Host factor interaction analysis: Examine whether SERP1140 interacts with different host factors in different experimental systems. Engineering approaches similar to those used for Aap-based constructs can help identify specific interaction domains.
Immunological relevance assessment: Determine whether SERP1140 elicits an antibody response during colonization or infection, similar to analyses performed for other S. epidermidis proteins . This can clarify its in vivo accessibility and immunological significance.
Combined in vitro and in vivo approaches: Integrate findings from multiple experimental systems using meta-analysis techniques to identify variables that consistently influence SERP1140's apparent function.
When evaluating conflicting literature, create a comprehensive data table documenting experimental conditions, strain backgrounds, and methodological differences to identify patterns that explain discrepancies .
SERP1140's membrane localization is primarily determined by its N-terminal hydrophobic regions. Analysis of the amino acid sequence reveals a characteristic pattern of hydrophobic residues (MFSIGFIIIAVIIVVALLILFSFVPVGLWISALAAGVHVGIGT) at the N-terminus that forms a transmembrane domain . This region likely anchors the protein in the bacterial membrane, with the more hydrophilic C-terminal portion extending into either the cytoplasm or extracellular space.
Unlike SdrG, which attaches to the cell wall via a LPXTG motif and sortase-mediated anchoring , or recombinant fusion proteins that can be attached using SpyCatcher/SpyTag systems , SERP1140 likely integrates directly into the membrane bilayer. Computational topology prediction suggests the protein has:
1-2 transmembrane domains
A cytoplasmic N-terminal region
A larger C-terminal domain that may be exposed externally
For experimental verification of these predictions, consider using:
Protease accessibility assays with intact cells
Selective biotinylation of surface-exposed regions
GFP fusion constructs positioned at different termini to assess orientation
Designing effective truncation constructs for SERP1140 requires careful consideration of its predicted domain structure and potential functional regions. Based on sequence analysis and comparison with related proteins, consider the following truncation strategy:
N-terminal transmembrane domain (aa 1-40): This region likely mediates membrane insertion and should be removed for soluble expression constructs but maintained for studies of membrane association.
Middle domain (aa 41-200): This region contains conserved sequences that may mediate protein-protein interactions or enzymatic activity.
C-terminal domain (aa 201-329): Often involved in substrate recognition or regulatory functions.
Create systematic truncations that preserve predicted secondary structure elements rather than arbitrary segments. For each construct, consider:
Adding a flexible linker (GGGGS)n between the tag and protein fragment
Including both N- and C-terminal tagged versions of each construct
Using a consistent expression system for comparative analysis
When expressing these constructs, evaluate them for:
Solubility and stability
Proper folding (using circular dichroism)
Retained functional activities
Interaction with known binding partners
Similar approaches were successfully used with other S. epidermidis proteins, such as the N1N2N3 and N2N3 subdomains of SdrG , which maintained immunogenicity but showed different functional properties.
To comprehensively characterize SERP1140 interactions with host proteins, employ a multi-method approach:
Initial screening methods:
Pull-down assays using recombinant tagged SERP1140 with host cell lysates
Protein microarrays with purified SERP1140 probed against common host proteins
Yeast two-hybrid screening against human cDNA libraries
Validation and characterization methods:
Functional validation:
Co-immunoprecipitation from infected host cells
Fluorescence resonance energy transfer (FRET) for in situ interaction validation
Mutational analysis of predicted interaction interfaces
Competition assays with peptides derived from interaction regions
In vivo relevance:
Infection models comparing wild-type and SERP1140-deficient strains
Antibody blocking studies targeting specific interaction domains
siRNA knockdown of candidate host targets
These methodologies should be applied within a systematic framework similar to approaches used for characterizing Aap interactions , with appropriate controls to distinguish specific from non-specific binding events.
Maintaining SERP1140 stability during purification requires careful buffer optimization. Based on the protein's characteristics and stability requirements for similar bacterial membrane proteins, the following buffer system is recommended:
50 mM Tris-HCl or phosphate buffer (pH 7.4-8.0)
150-300 mM NaCl (to maintain ionic strength)
1 mM DTT or 5 mM β-mercaptoethanol (to prevent oxidation of cysteine residues)
pH stability range: SERP1140 shows optimal stability between pH 7.0-8.0, with reduced stability at acidic pH.
Salt concentration: Titrate NaCl between 150-500 mM to determine optimal ionic strength.
Detergent selection: For membrane-associated forms, include mild detergents:
0.05-0.1% n-Dodecyl β-D-maltoside (DDM)
0.5-1% CHAPS
0.5% Triton X-100 (for initial extraction only)
Stabilizing additives: Consider including:
5-10% glycerol
1-5 mM EDTA (to chelate metal ions that might promote degradation)
Protease inhibitor cocktail
During storage, maintain the purified protein at -80°C in buffer containing 50% glycerol . For experiments requiring removal of the fusion tag, optimize protease cleavage conditions to maintain stability of the native protein.
To assess SERP1140 immunogenicity using a single-subject experimental design (SSED) protocol, adapt established approaches that have been successful with other S. epidermidis proteins . The following experimental design integrates SSED principles with immunological assessment:
Multiple baseline design with staggered introduction of SERP1140 immunization across subjects
ABAB design to evaluate antibody response persistence and boosting effects
Changing criterion design to assess dose-dependent responses
Subject selection: Use inbred mouse strain (e.g., C57BL/6) to minimize genetic variability
Baseline measurements:
Collect pre-immunization serum at multiple timepoints (days -21, -14, -7)
Analyze baseline antibody levels using ELISA against SERP1140
Assess cross-reactivity with other S. epidermidis proteins
Intervention phase:
Primary immunization with recombinant SERP1140 (50 μg per mouse)
Staggered immunization schedule across subjects
Collect serum samples at regular intervals (days 7, 14, 21, 28)
Withdrawal phase:
Monitor antibody decline over 30-60 days post-immunization
Analyze antibody classes (IgG, IgM, IgA) and subclasses
Reintroduction phase:
Boost with SERP1140 immunization
Compare primary and secondary response kinetics
Data analysis:
This design allows for rigorous evaluation of causality between SERP1140 exposure and antibody response, similar to approaches used for SdrG immunogenicity assessment , while controlling for individual variability and temporal factors .
Expressing full-length SERP1140 presents challenges due to its transmembrane domains and potential toxicity to host cells. To overcome these obstacles, implement the following strategic approaches:
These approaches have been successfully applied to other challenging membrane proteins from S. epidermidis and can be adapted for SERP1140 .
SERP1140's potential as a vaccine component against S. epidermidis should be evaluated systematically, drawing on successful approaches used with other S. epidermidis proteins like SdrG . Consider the following strategic framework:
Expression profiling during infection:
Immunogenicity assessment:
Evaluate antibody response to SERP1140 in humans with S. epidermidis infections
Compare SERP1140-specific antibody levels in colonized vs. non-colonized individuals
Determine if antibodies against SERP1140 correlate with protection from infection
Epitope mapping and optimization:
Adjuvant and delivery system optimization:
Test multiple adjuvant formulations to enhance immunogenicity
Evaluate different administration routes (subcutaneous, intranasal, etc.)
Consider conjugation to carrier proteins to increase immunogenicity
Protection assessment:
Challenge models to evaluate vaccine efficacy:
Bacteremia models
Foreign body infection models
Catheter-associated biofilm models
Quantify bacterial burdens in vaccinated vs. control animals
Measure opsonophagocytic killing by SERP1140-specific antibodies
Combination approaches:
This approach builds on the successful SdrG vaccine development model, where immunization with specific subdomains provided significant protection against experimental infection .
To rigorously evaluate SERP1140's potential role in biofilm formation, implement a comprehensive experimental design that incorporates both genetic and biochemical approaches:
Genetic manipulation studies:
Create clean deletion mutants (ΔSERP1140) using allelic replacement
Generate complemented strains with SERP1140 under native and inducible promoters
Develop point mutants targeting specific domains to identify functional regions
Static biofilm assays:
Crystal violet staining for biomass quantification
Confocal microscopy with fluorescent strains to assess architecture
Scanning electron microscopy for detailed structural analysis
Compare wild-type, mutant, and complemented strains under multiple conditions:
Varying media compositions (TSB, BHI, human serum)
Different surfaces (polystyrene, glass, implant materials)
Presence of host matrix proteins (fibrinogen, fibronectin)
Dynamic biofilm models:
Flow cell systems to evaluate biofilm formation under shear stress
Microfluidic devices for real-time observation of biofilm dynamics
Drip flow reactors to mimic clinically relevant conditions
Biochemical interaction studies:
Assess SERP1140 binding to biofilm matrix components
Evaluate protein-protein interactions with other S. epidermidis surface proteins
Test for enzymatic activities that might modify matrix components
In vivo relevance:
Catheter infection models comparing wild-type and ΔSERP1140 strains
Explant analysis using immunohistochemistry to localize SERP1140
Competition assays between wild-type and mutant strains
Statistical analysis:
ANOVA with post-hoc tests for multiple condition comparisons
Repeated measures designs for time-course experiments
Effect size calculations to quantify biological significance
This experimental framework integrates elements of single-subject experimental design with population-level analyses to provide robust evidence of SERP1140's role in biofilm processes.
Designing chimeric SERP1140 constructs for immunogen delivery requires strategic fusion of target antigens while preserving structural integrity and folding. Drawing from successful approaches with other S. epidermidis proteins , implement the following design principles:
Target antigen selection:
Fusion site identification:
Analyze SERP1140 structure for surface-exposed loops or termini
Avoid disrupting transmembrane domains or conserved functional regions
Consider multiple insertion sites for comparative testing:
N-terminal fusion (preserving signal sequence)
C-terminal fusion
Internal domain replacements
Loop insertions
Linker design:
Incorporate flexible linkers (GGGGS)n between SERP1140 and target antigen
Test rigid linkers (EAAAK)n when spatial separation is required
Consider cleavable linkers if independent function is desired
Expression vector optimization:
Design constructs with multiple tags for purification and detection
Include ribosome binding site modifications to optimize expression
Consider dual promoter systems for differential expression of fusion partners
Validation strategy:
Verify surface display using immunofluorescence microscopy
Confirm antigen conformation using conformation-specific antibodies
Assess immunogenicity through antibody response evaluation
Advanced engineering approaches:
This approach builds on successful engineering strategies demonstrated with Aap-TTFC chimeras, which effectively elicited antibody responses against the target antigen , adapted for the specific structural constraints of SERP1140.
Despite advances in S. epidermidis protein characterization, significant research gaps remain in our understanding of SERP1140. These knowledge deficits represent important opportunities for future investigation:
Fundamental functional characterization:
Regulation and expression patterns:
Host interactions:
Potential interactions with host proteins or immune components are uncharacterized
Contribution to immune evasion or colonization has not been assessed
Possible role in host-microbe signaling remains an open question
Clinical relevance:
Association with virulence or specific infection types is not established
Potential as a biomarker for S. epidermidis infections has not been evaluated
Strain-to-strain variation in sequence and expression is poorly documented
Technological applications:
Addressing these gaps will require interdisciplinary approaches combining structural biology, molecular microbiology, immunology, and clinical research methodologies.
Several emerging methodological innovations hold promise for advancing SERP1140 research in the coming years:
Structural biology advances:
Cryo-electron microscopy for membrane protein structures without crystallization
AlphaFold and related AI prediction tools for structure modeling
Hydrogen-deuterium exchange mass spectrometry for dynamic structural analysis
Single-molecule FRET for real-time conformational studies
Genetic engineering approaches:
CRISPR-Cas9 base editing for precise genomic modifications in S. epidermidis
Inducible CRISPRi systems for temporal control of gene expression
Advanced recombineering techniques for scarless genome editing
Synthetic genomics approaches for wholesale redesign of protein-coding sequences
Single-cell technologies:
Single-cell RNA-seq to identify heterogeneous expression patterns in bacterial populations
Mass cytometry for high-dimensional phenotyping of bacterial cells
Advanced microscopy techniques for protein localization at nanoscale resolution
Microfluidic systems for tracking single-cell protein expression dynamics
Host-pathogen interaction analysis:
Organoid models for studying S. epidermidis interactions with structured tissues
CRISPR screens in host cells to identify interaction partners
Metaproteomic approaches to study SERP1140 in complex microbial communities
Advanced animal models with humanized immune systems
Computational approaches:
Machine learning for predicting functional partners and networks
Molecular dynamics simulations for interaction studies
Systems biology models integrating multi-omics data
Network analysis tools for placing SERP1140 in biological context
These methodological innovations will enable researchers to address current knowledge gaps and develop a comprehensive understanding of SERP1140's biological functions and potential applications .
Resolving contradictions in SERP1140 functional studies requires sophisticated integrative data analysis approaches that synthesize evidence across multiple experimental systems:
Meta-analysis frameworks:
Systematic review of existing literature with standardized quality assessment
Quantitative meta-analysis of effect sizes across studies
Subgroup analyses to identify variables that explain heterogeneous results
Publication bias assessment to identify reporting distortions
Multi-omics data integration:
Correlation of transcriptomic, proteomic, and metabolomic datasets
Network analysis to place SERP1140 in biological pathways
Integrative clustering to identify conditions with consistent effects
Bayesian approaches for causal inference from multiple data types
Experimental design harmonization:
Develop standardized protocols for key SERP1140 experiments
Create reference datasets using consistent methodologies
Implement inter-laboratory validation studies
Establish minimal reporting standards for experimental conditions
Computational modeling:
Develop predictive models of SERP1140 function incorporating multiple datasets
Use ensemble methods to improve prediction robustness
Sensitivity analysis to identify key variables affecting outcomes
Dynamical systems modeling to understand temporal aspects of function
Advanced statistical approaches:
Mixed-effects models to account for heterogeneity across studies
Structural equation modeling to test complex causal hypotheses
Machine learning for pattern recognition across datasets
Bayesian hierarchical modeling to integrate multiple levels of evidence