Recombinant Staphylococcus aureus UPF0298 protein SAS1056 (SAS1056) is a protein derived from the bacterium Staphylococcus aureus . It is produced using recombinant DNA technology . The protein is also cataloged under the identifier SAS1056 within the Staphylococcus aureus genome .
| Characteristic | Description |
|---|---|
| Name | Recombinant Staphylococcus aureus UPF0298 protein SAS1056 (SAS1056) |
| Source Organism | Staphylococcus aureus |
| Production Method | Recombinant |
| Identifier | SAS1056 |
Recombinant SAS1056 can be produced in different expression systems, including yeast, E. coli, baculovirus, and mammalian cells . Depending on the expression system, the recombinant protein may undergo specific modifications such as biotinylation . For instance, the protein can be biotinylated in vivo using AviTag-BirA technology in E. coli, where BirA catalyzes the attachment of biotin to the AviTag peptide .
While specific functional details of SAS1056 are not available, recombinant proteins, in general, are widely used in biological research . They serve various purposes, such as:
Drug Discovery: Identifying potential therapeutic targets and developing new drugs .
Studying Protein Function: Elucidating the roles and mechanisms of action of specific proteins .
Diagnostics: Developing diagnostic tools for detecting diseases .
Biomarker Research: Identifying proteins that can serve as indicators of disease states .
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SAS1056 belongs to the UPF0298 protein family found in Staphylococcus aureus strain MSSA476, with a UniProt accession number of Q6GA93 . The protein consists of 84 amino acids with a sequence that suggests specific structural properties important for its biological function. While the exact function remains under investigation, structural analysis indicates potential roles in bacterial cell processes based on its conserved domains. The UPF (Uncharacterized Protein Family) designation indicates that this protein's precise biological function has not been fully elucidated, making it an important target for foundational research.
Methodologically, researchers should approach functional characterization through a combination of computational prediction tools and experimental validation techniques, including gene knockout studies, interaction assays, and localization experiments to establish its role in bacterial cellular processes. Structural studies may employ X-ray crystallography, NMR spectroscopy, or cryo-electron microscopy to determine three-dimensional conformation.
The baculovirus expression system has proven effective for recombinant production of SAS1056 . This eukaryotic system provides advantages for bacterial protein expression including proper folding and reduced toxicity compared to bacterial expression systems. The expression region spans amino acids 1-84, representing the full-length protein .
For methodological optimization, researchers should consider the following approaches:
Expression vector selection with appropriate promoters and fusion tags
Host cell optimization (insect cell lines such as Sf9 or High Five)
Infection conditions (MOI, timing of harvest)
Purification strategy based on fusion tags
Validation of protein folding and activity
Alternative expression systems such as E. coli or yeast may be considered depending on research needs, though each presents distinct advantages and challenges that should be systematically evaluated through expression trials and purification optimization.
For optimal stability and reproducibility in experiments, SAS1056 should be handled following these methodological guidelines:
Storage: The lyophilized form has a shelf life of approximately 12 months at -20°C/-80°C, while the liquid form remains stable for about 6 months under the same conditions .
Reconstitution protocol:
Working conditions:
These guidelines are essential for maintaining protein integrity and ensuring experimental reproducibility. Researchers should document storage conditions as variables in experimental design, as protein stability can significantly impact research outcomes.
Quality control for recombinant SAS1056 typically involves verification of purity (>85% by SDS-PAGE) and confirmation of identity. Methodologically, researchers should implement a comprehensive quality control workflow:
Purity assessment:
SDS-PAGE with Coomassie or silver staining
Size exclusion chromatography (SEC)
Reverse-phase HPLC
Identity confirmation:
Western blotting with specific antibodies
Mass spectrometry analysis
N-terminal sequencing
Functional verification:
Activity assays specific to predicted function
Binding studies with potential interaction partners
Circular dichroism to confirm proper folding
Endotoxin testing:
LAL assay for endotoxin contamination if using in cell culture
These quality control steps should be documented as part of the experimental design phase to ensure that variable results are not attributable to differences in protein quality.
Molecular dynamics (MD) simulations provide valuable insights into protein behavior in simulated cellular environments. For SAS1056, researchers can apply similar approaches to those used in other protein studies with the following methodological considerations:
Simulation setup:
Select appropriate force fields (AMBER, CHARMM, or GROMOS)
Define simulation box with explicit solvent molecules
Add counterions to neutralize the system
Energy minimization before production runs
Simulation parameters:
Time step selection (typically 1-2 fs)
Temperature and pressure control (NPT ensemble)
Periodic boundary conditions
Long-range electrostatic interactions (PME method)
Analysis approaches:
RMSD and RMSF calculations for stability and flexibility assessment
Hydrogen bond analysis for structural stability
Principal Component Analysis for conformational changes
Solvent accessible surface area calculations
Potential binding site identification
These simulations can reveal dynamic properties not observable in static structural studies, particularly regarding flexibility of specific regions and potential interaction sites. Similar to approaches used in studying disease-related proteins , researchers should run multiple independent simulations to ensure statistical significance of observed phenomena.
Protein frustration analysis examines energetic conflicts within protein structures that can impact stability and function. While no specific frustration analysis has been reported for SAS1056, methodological approaches similar to those used for FUS protein variants can be applied :
Frustration calculation methods:
Local frustration calculations using the Frustratometer algorithm
Identification of minimally and highly frustrated regions
Configuration frustration index computation
Visualization and interpretation:
Map frustration patterns onto the three-dimensional structure
Correlate frustrated regions with functional domains
Analyze how mutations might alter frustration patterns
Functional implications:
Connect frustration patterns to potential binding interfaces
Assess impact on protein stability and aggregation propensity
Evaluate potential chaperone requirements for proper folding
This approach can provide insights into which regions of SAS1056 might be energetically strained and how this might relate to its function or stability. As observed in FUS protein studies, mutations can significantly alter frustration patterns , suggesting similar analyses could be valuable for understanding variants of SAS1056.
Comparative analysis between SAS1056 and related proteins like SAR1095 requires a systematic methodological approach:
Sequence comparison:
Pairwise sequence alignment to identify conserved residues
Multiple sequence alignment with other UPF0298 family members
Calculation of sequence identity and similarity percentages
Identification of signature motifs
Structural comparison:
Superimposition of solved or predicted structures
Domain organization analysis
Comparison of electrostatic surface potentials
Analysis of secondary structure elements
Evolutionary relationship:
Phylogenetic tree construction
Evolutionary rate analysis for different protein regions
Identification of adaptive versus conserved sites
Functional comparison:
Analysis of expression patterns in different bacterial strains
Comparison of interaction partners
Assessment of phenotypic effects when each protein is altered
This comparative approach can reveal insights into functional divergence or conservation across Staphylococcus aureus strains and inform research directions focusing on strain-specific adaptations.
When designing experiments involving SAS1056, researchers should follow systematic experimental design principles with specific considerations for this protein:
Variable identification and control:
Hypothesis formulation:
Treatment design:
Subject assignment:
Measurement planning:
Evolutionary conservation analysis provides valuable insights into functionally important regions of proteins. Using approaches similar to those applied in the study of other proteins , researchers can:
Methodological steps:
Identify homologous sequences across bacterial species
Perform multiple sequence alignment
Calculate conservation scores for each residue (e.g., using CONSURF server)
Map conservation onto structural models
Interpretation framework:
Functional implications:
Target highly conserved residues for site-directed mutagenesis
Design functional assays focused on conserved regions
Interpret experimental results in light of evolutionary constraints
This approach enables prediction of critical functional regions within SAS1056, comparable to analyses showing that nuclear localization signals tend to be highly conserved in proteins like FUS due to their functional importance .
When analyzing protein frustration in SAS1056, researchers should consider multiple metrics to comprehensively assess energetic conflicts:
| Frustration Metric | Description | Relevance to SAS1056 |
|---|---|---|
| Local frustration | Measures energetic conflicts in local interactions | Identifies potentially unstable regions |
| Configurational frustration | Evaluates alternative configurations for a given residue | Assesses folding stability and dynamics |
| Mutational frustration | Examines how mutations affect energetic landscape | Predicts impact of natural variations |
Similar to analyses performed for other proteins , researchers should interpret these metrics collectively rather than in isolation. For example, the R521C mutation in FUS protein showed a noticeable increase in frustration involving the mutated residue, indicating that cysteine was less favorable in that position . Similar analysis for SAS1056 variants could provide insights into stability determinants and potential functional alterations.
Post-translational modifications (PTMs) can significantly impact protein function. To investigate potential PTMs in SAS1056, researchers should employ:
Computational prediction:
Use algorithms specific for different PTM types (phosphorylation, glycosylation, etc.)
Identify consensus sequences for modification enzymes
Consider bacterial-specific modification patterns
Experimental detection:
Mass spectrometry-based proteomics (MS/MS)
Western blotting with modification-specific antibodies
Radioactive labeling with modification-specific precursors
Chemical reactivity assays for specific modifications
Functional validation:
Site-directed mutagenesis of predicted modification sites
Comparison of native versus recombinant protein modification patterns
Temporal analysis of modifications under different conditions
Structural impact assessment:
Molecular dynamics simulations comparing modified and unmodified forms
Binding assays to determine effects on protein-protein interactions
Stability studies to assess structural impacts
While the search results don't specifically mention PTMs for SAS1056, this methodological framework provides a comprehensive approach for investigating their presence and significance.