Name: DegV domain-containing protein SPy_1936/M5005_Spy1650
UniProt ID: P67374
Gene: SPy_1936 (Streptococcus pyogenes), M5005_Spy1650 (strain-specific nomenclature)
Domain Architecture: Contains a DegV (DUF2143) domain, which is evolutionarily conserved in prokaryotes and linked to lipid-binding activities .
Lipid Binding: Predicted to interact with long-chain fatty acids such as palmitate .
Metabolic Pathways: Hypothesized to participate in lipid transport or fatty acid metabolism, though specific mechanisms remain uncharacterized .
| Feature | SPy_1936/M5005_Spy1650 | Homologs in Other Species |
|---|---|---|
| Domain | DegV (DUF2143) | DegV in E. coli, Bacillus subtilis |
| Function | Lipid binding (predicted) | Fatty acid metabolism, membrane remodeling |
| Experimental Data | Limited to in silico predictions | Biochemical assays, structural studies |
Mechanistic Role: How does this protein transport or modify lipids?
Biological Significance: Is it essential for bacterial survival or virulence?
Interaction Partners: Identification of binding partners in Streptococcus pyogenes.
While no direct studies on recombinant SPy_1936/M5005_Spy1650 are cited in the provided sources, analogous recombinant proteins (e.g., p300, FNDC5) offer methodological insights:
Example: Baculovirus systems (used for p300 catalytic domain) or E. coli (used for FNDC5) could be viable for recombinant production.
Functional Studies: Lipid-binding assays using fluorescently tagged fatty acids.
Structural Biology: Cryo-EM or crystallography to resolve 3D architecture.
Biotechnological Relevance: Could inform antimicrobial strategies targeting lipid metabolism in pathogenic bacteria.
Therapeutic Potential: If linked to virulence, it may serve as a drug target.
KEGG: spy:SPy_1936
STRING: 160490.SPy_1936
The DegV domain-containing protein SPy_1936/M5005_Spy1650 is a protein found in Streptococcus pyogenes serotype M1, a gram-positive bacterial pathogen that causes various human infections. This protein contains a DegV domain, which is typically associated with fatty acid binding capabilities. The full-length protein consists of 286 amino acids with a molecular weight of approximately 31,380 Da . The protein is categorized in the DegV family of proteins, which are widely distributed across bacterial species and believed to play roles in lipid metabolism.
Based on UniProt annotations and structural similarities to other DegV domain-containing proteins, SPy_1936/M5005_Spy1650 may bind long-chain fatty acids, such as palmitate, and likely plays a role in lipid transport or fatty acid metabolism within S. pyogenes . The specific biological function of this protein remains to be fully characterized through detailed biochemical and structural studies. Understanding its precise role could provide insights into S. pyogenes metabolism and potentially its pathogenicity mechanisms.
Recombinant SPy_1936/M5005_Spy1650 can be produced using several expression systems, each with distinct advantages depending on specific research requirements:
| Expression System | Advantages | Best Applications |
|---|---|---|
| E. coli | Cost-effective, high yield, rapid expression | Basic structural studies, protein-ligand interaction analyses |
| Yeast | Eukaryotic post-translational modifications, good yield | Studies requiring more complex protein folding |
| Baculovirus | More complex post-translational modifications, high yield | Functional assays requiring authentic protein structure |
| Mammalian cell | Most native-like post-translational modifications | Studies focused on protein-protein interactions, complex functional assays |
The choice of expression system should be guided by the specific experimental requirements, downstream applications, and the level of native protein conformation needed . For most basic biochemical characterizations, E. coli-derived protein is sufficient, while more complex studies may benefit from higher eukaryotic expression systems.
For optimal stability and functionality of recombinant SPy_1936/M5005_Spy1650, the following storage and handling protocols are recommended:
Store lyophilized protein at -20°C or -80°C for long-term storage
Keep working aliquots at 4°C for up to one week to minimize freeze-thaw cycles
If the protein becomes entrapped in the seal of the product vial during storage, briefly centrifuge the vial to dislodge any liquid in the container's cap
Reconstitute lyophilized protein in appropriate buffer systems (typically pH 7.0-7.5)
Consider adding stabilizers such as glycerol (10-20%) when storing reconstituted protein
Monitor protein stability using techniques like thermal shift assays or activity measurements
Avoiding repeated freeze-thaw cycles is particularly important as this can lead to protein denaturation, aggregation, and loss of activity. Creating single-use aliquots upon initial reconstitution is a recommended practice for maximizing protein stability and experimental reproducibility.
To characterize the fatty acid binding properties of SPy_1936/M5005_Spy1650, researchers can employ several complementary methodological approaches:
Fluorescence-based binding assays: Using environmentally sensitive fluorescent probes like 1-anilinonaphthalene-8-sulfonic acid (ANS) to detect conformational changes upon fatty acid binding.
Isothermal Titration Calorimetry (ITC): This provides direct measurement of binding thermodynamics, including binding affinity (Kd), stoichiometry, and thermodynamic parameters (ΔH, ΔS).
Surface Plasmon Resonance (SPR): Allows real-time monitoring of binding kinetics between the protein and immobilized fatty acids.
Intrinsic tryptophan fluorescence: Measures changes in the protein's fluorescence emission spectra upon ligand binding, particularly useful if tryptophan residues are near the binding pocket.
Circular Dichroism (CD): Assesses potential conformational changes in secondary structure upon fatty acid binding.
A systematic approach would involve:
Testing binding against a panel of fatty acids of varying chain lengths (C8-C22) and saturation levels
Including appropriate positive and negative controls
Performing concentration-dependent experiments to determine binding affinity constants
Correlating binding data with structural information when available
To investigate the potential role of SPy_1936/M5005_Spy1650 in S. pyogenes pathogenicity, a multi-faceted experimental approach should be employed:
Gene knockout studies:
Generate SPy_1936 deletion mutants using homologous recombination or CRISPR-Cas9
Compare growth characteristics in various media conditions, especially lipid-limited media
Assess virulence factor production in wild-type versus mutant strains
Complementation studies:
Reintroduce the wild-type gene to confirm phenotype restoration
Create point mutations in key residues to identify critical functional domains
Infection models:
Compare wild-type and mutant strains in appropriate cell culture models
Assess adherence, invasion, and intracellular survival capabilities
Evaluate inflammatory responses using cytokine profiling
Transcriptomic and proteomic analyses:
Perform RNA-Seq to identify genes differentially expressed in knockout versus wild-type strains
Use proteomics to identify changes in protein expression profiles
Focus on pathways related to lipid metabolism and virulence factor regulation
These approaches should be conducted with appropriate controls and statistical analyses to ensure robust and reproducible results that can establish causality between SPy_1936 function and pathogenic phenotypes.
Structural analyses of SPy_1936/M5005_Spy1650 can provide critical insights into its function through various complementary techniques:
Table 1: Key structural features to analyze in SPy_1936/M5005_Spy1650
| Structural Feature | Analytical Technique | Expected Insights |
|---|---|---|
| Binding pocket architecture | X-ray crystallography, NMR | Specificity determinants for fatty acid binding |
| Conformational changes | CD, SAXS, NMR | Mechanism of ligand recognition and potential allosteric effects |
| Dynamic regions | NMR relaxation studies, HDX-MS | Protein flexibility related to function |
| Critical binding residues | Mutagenesis + binding studies | Structure-function relationships |
| Oligomerization state | SEC-MALS, native PAGE | Potential functional quaternary structure |
A robust purification workflow for obtaining high-purity SPy_1936/M5005_Spy1650 suitable for structural studies typically involves:
Expression optimization:
Initial purification:
Use appropriate lysis buffer (typically Tris-HCl pH 7.5, 150-300 mM NaCl, with protease inhibitors)
Perform affinity chromatography utilizing the affinity tag (His, GST, etc.)
Consider on-column tag cleavage if the tag might interfere with structural studies
Secondary purification:
Ion exchange chromatography based on the protein's theoretical pI
Size exclusion chromatography to remove aggregates and ensure monodispersity
Quality control:
SDS-PAGE to confirm purity (aim for >95%)
Mass spectrometry to verify protein identity and integrity
Thermal shift assay to assess protein stability
Activity assays to confirm functionality (fatty acid binding)
Table 2: Troubleshooting common purification issues with SPy_1936/M5005_Spy1650
| Issue | Possible Cause | Solution |
|---|---|---|
| Low solubility | Improper folding | Lower expression temperature; try solubility-enhancing tags |
| Protein aggregation | Hydrophobic patches exposed | Add mild detergents or optimize buffer conditions |
| Low purity after affinity | Non-specific binding | Increase stringency in wash buffers |
| Loss of activity | Removal of bound fatty acids | Consider purifying with fatty acid supplementation |
To investigate the role of SPy_1936/M5005_Spy1650 in fatty acid metabolism, researchers should consider these methodological approaches:
Metabolomic profiling:
Compare wild-type and SPy_1936 knockout strains using LC-MS/MS
Focus on lipid metabolites and fatty acid profiles
Perform analyses under different growth conditions and stressors
Isotope labeling experiments:
Use 13C-labeled fatty acids to trace metabolic fates
Determine if SPy_1936 affects incorporation or utilization rates
Combine with metabolomic analysis to map metabolic fluxes
Lipidomic analysis:
Quantify changes in membrane lipid composition in knockout versus wild-type
Assess phospholipid profiles and fatty acid chain length distribution
Correlate with membrane fluidity and permeability measurements
Gene expression studies:
Use qRT-PCR to measure expression levels of SPy_1936 under different conditions
Assess co-regulation with other genes involved in lipid metabolism
Identify potential regulators using reporter gene assays
This multifaceted approach provides complementary data that can establish a comprehensive understanding of the protein's role in fatty acid metabolism and potentially connect it to bacterial physiology and pathogenicity.
When working with recombinant SPy_1936/M5005_Spy1650, the following controls are critical for experimental rigor:
Expression system controls:
Protein quality controls:
SDS-PAGE and Western blot to confirm protein identity and purity
Mass spectrometry to verify complete sequence
Circular dichroism to confirm proper folding
Functional assay controls:
Denatured protein control to distinguish specific from non-specific activities
Site-directed mutants affecting predicted binding sites
Competition assays with unlabeled ligands
Positive control using a well-characterized homologous protein
Binding specificity controls:
Panel of structurally related and unrelated fatty acids
Negative control proteins with similar size/charge but different function
Data analysis controls:
Technical and biological replicates to ensure reproducibility
Dose-response curves to determine specificity versus non-specific binding
Statistical validation of all quantitative measurements
Implementing these controls ensures experimental rigor and facilitates the distinction between true biological effects and technical artifacts.
To identify potential interaction partners of SPy_1936/M5005_Spy1650, consider these experimental approaches:
Affinity purification coupled with mass spectrometry (AP-MS):
Express tagged SPy_1936 in S. pyogenes or heterologous system
Perform pull-down experiments using antibodies against the tag
Identify co-purifying proteins by mass spectrometry
Use quantitative approaches to distinguish specific from non-specific interactions
Bacterial two-hybrid system:
Provides relevant context for bacterial protein interactions
Can be performed in conditions mimicking S. pyogenes environment
Proximity-dependent biotin identification (BioID):
Fuse SPy_1936 to a biotin ligase
Identify proximal proteins through biotinylation
Particularly useful for transient interactions
Crosslinking mass spectrometry:
Use chemical crosslinkers to capture transient interactions
Identify crosslinked peptides by mass spectrometry
Provides insights into interaction interfaces
Table 3: Comparison of protein interaction detection methods for SPy_1936/M5005_Spy1650
| Method | Advantages | Limitations | Best For |
|---|---|---|---|
| AP-MS | Identifies complexes in near-native conditions | May miss weak/transient interactions | Global interaction mapping |
| Bacterial two-hybrid | Physiologically relevant for bacterial proteins | Lower throughput than Y2H | Validation of key interactions |
| BioID | Detects proximal proteins, works for insoluble proteins | Requires genetic modification | Mapping neighborhood interactome |
| Crosslinking MS | Captures transient interactions, identifies interfaces | Complex data analysis | Structural characterization of complexes |
Following identification of potential interaction partners, validation using orthogonal methods is essential to confirm true biological interactions.
Computational approaches offer valuable insights into the potential functions of SPy_1936/M5005_Spy1650:
Sequence-based analyses:
Multiple sequence alignment with homologous DegV proteins
Identification of conserved residues as potential functional sites
Phylogenetic analysis to trace evolutionary relationships
Genomic context analysis to identify functionally related genes
Structural bioinformatics:
Homology modeling based on crystallized DegV domain proteins
Binding site prediction using algorithms like CASTp or FTMap
Molecular docking with potential fatty acid ligands
Molecular dynamics simulations to assess protein stability and dynamics
Network analyses:
Protein-protein interaction network prediction
Integration with known metabolic pathways
Co-expression network analysis using existing transcriptomic data
Comparative genomics:
Analysis of gene presence/absence across Streptococcus species
Correlation with pathogenicity or niche adaptation
Identification of horizontal gene transfer events
These computational analyses should generate testable hypotheses that can be experimentally validated to establish the biological function of SPy_1936/M5005_Spy1650 with greater confidence.
To evaluate SPy_1936/M5005_Spy1650 as a potential drug target, researchers should implement a systematic approach:
Target validation:
Determine essentiality through knockout studies
If not essential, assess contribution to virulence or persistence
Evaluate growth defects under different conditions
Confirm expression during infection using transcriptomics/proteomics
Druggability assessment:
Analyze binding pocket characteristics (volume, hydrophobicity)
Assess conservation across Streptococcus species
Compare with human homologs to predict potential off-target effects
Perform virtual screening to estimate ligandability
Assay development:
Establish robust biochemical assays for high-throughput screening
Develop cellular assays to monitor protein function
Create reporter systems to measure activity inhibition
Small molecule screening:
Perform fragment-based screening using NMR or X-ray crystallography
Conduct high-throughput screening of chemical libraries
Table 4: Evaluation criteria for SPy_1936/M5005_Spy1650 as a drug target
| Criterion | Favorable Characteristics | Assessment Methods |
|---|---|---|
| Essentiality | Required for growth or virulence | Gene deletion, CRISPRi |
| Conservation | Present in multiple streptococcal pathogens | Comparative genomics |
| Uniqueness | Low similarity to human proteins | Sequence and structural comparison |
| Druggability | Defined binding pockets for small molecules | Computational pocket analysis, fragment screening |
| Assayability | Activity can be measured in vitro | Binding assays, enzyme assays |
This systematic approach enables researchers to make informed decisions about the viability of SPy_1936/M5005_Spy1650 as a drug target and the most promising strategies for inhibitor development.