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When expressing Recombinant Tropheryma whipplei UPF0102 protein TW312, researchers should consider multiple expression systems, each with distinct advantages. E. coli and yeast expression systems typically provide the highest yields and shorter turnaround times for UPF0102 family proteins . For optimal expression in E. coli, consider the following methodology:
Strain selection: BL21(DE3) or Rosetta strains are preferred for proteins that may contain rare codons
Temperature optimization: Lower temperatures (16-25°C) often improve folding for complex proteins
Induction parameters: IPTG concentration (0.1-1.0 mM) and induction timing (mid-log phase, OD600 = 0.6-0.8)
Media supplementation: Addition of glucose (0.5-1%) may reduce basal expression and improve yield
For more complex post-translational modifications, insect cell-baculovirus or mammalian expression systems should be considered, though these typically result in lower yields compared to microbial systems.
A multi-step purification strategy is essential for obtaining high-purity TW312 protein suitable for structural and functional studies:
Initial capture: Immobilized metal affinity chromatography (IMAC) using His-tags is recommended for primary isolation
Intermediate purification: Ion exchange chromatography to separate based on charge properties
Polishing: Size exclusion chromatography to remove aggregates and ensure monodispersity
For UPF0102 family proteins, optimal buffer conditions typically include:
pH range: 7.0-8.0
Salt concentration: 150-300 mM NaCl
Addition of reducing agents: 1-5 mM DTT or 0.5-2 mM TCEP
Protease inhibitors: PMSF (1 mM) or commercial cocktails during initial extraction
Activity preservation often requires careful optimization of buffer components, as UPF0102 proteins may require specific cofactors or conditions to maintain their native conformations and biological functions.
Multiple complementary analytical techniques should be employed to verify structural integrity:
Circular Dichroism (CD) Spectroscopy:
Far-UV CD (190-260 nm): Determines secondary structure composition
Near-UV CD (250-350 nm): Assesses tertiary structure organization
Thermal Shift Assays:
Differential Scanning Fluorimetry (DSF) to determine melting temperature (Tm)
Buffer optimization parameters that increase Tm typically enhance stability
Size Exclusion Chromatography - Multi-Angle Light Scattering (SEC-MALS):
Determines absolute molecular weight and oligomeric state
Identifies potential aggregation issues
Limited Proteolysis:
Trypsin digestion at varying enzyme:protein ratios (1:100 to 1:1000)
Analysis of digestion patterns by SDS-PAGE and mass spectrometry
Well-folded proteins exhibit characteristic resistance patterns
For UPF0102 family proteins, which may have diverse structural characteristics, establishing these baseline parameters is essential before proceeding to functional assays.
Developing appropriate functional assays requires understanding the predicted molecular functions of UPF0102 family proteins. While specific assays for TW312 would need to be tailored to its exact function, consider these methodological approaches:
Protein-Protein Interaction Studies:
Pull-down assays using tagged versions of TW312
Surface Plasmon Resonance (SPR) for kinetic binding parameters
Microscale Thermophoresis (MST) for quantitative binding in solution
Enzymatic Activity Analysis:
If TW312 has predicted enzymatic activity, design substrate-based assays
Monitor reaction products by HPLC, mass spectrometry, or spectrophotometric methods
Determine kinetic parameters (Km, Vmax, kcat) under varying conditions
Cell-Based Functional Assays:
For quantitative measurements, design experiments with appropriate controls, statistical power calculations, and multiple independent replicates to ensure reproducibility.
Investigating protein-protein interactions (PPIs) involving TW312 requires a multi-faceted approach:
Computational Prediction Methods:
Sequence-based prediction tools (STRING, IntAct)
Structural homology modeling to identify potential interaction surfaces
Molecular docking simulations with predicted partners
In Vitro Interaction Studies:
Co-immunoprecipitation (Co-IP) using antibodies against TW312
GST pull-down assays with cellular lysates
Crosslinking mass spectrometry (XL-MS) to identify interaction sites
Cellular Validation:
Bimolecular Fluorescence Complementation (BiFC)
Förster Resonance Energy Transfer (FRET) microscopy
Proximity Ligation Assay (PLA) in infected cells
Functional Validation:
Mutagenesis of predicted interaction interfaces
Competition assays with peptides derived from interaction sites
Effects of disrupting interactions on bacterial survival and pathogenesis
Similar approaches revealed that TW-37, another protein with therapeutic potential, functions by inhibiting Bcl-2 family proteins , suggesting the importance of protein interactions in determining functional outcomes.
Epigenetic regulation may significantly impact heterologous expression of TW312 and can be experimentally manipulated:
Histone Deacetylase (HDAC) Modulation:
DNA Methylation Analysis:
Assessment of CpG islands in promoter regions using bisulfite sequencing
Treatment with 5-azacytidine (1-5 μM) to inhibit DNA methylation
Quantification of expression changes via qRT-PCR and Western blotting
Chromatin Immunoprecipitation (ChIP) Assays:
Identification of histone modifications associated with the gene encoding TW312
Analysis of transcription factor binding to regulatory regions
Integration with expression data to establish causative relationships
The strategic use of epigenetic modulators may significantly enhance expression levels, particularly in mammalian systems where chromatin structure plays a critical role in gene regulation.
Protein stability and prevention of aggregation require careful optimization:
| Parameter | Recommended Range | Monitoring Method |
|---|---|---|
| pH | 7.0-8.0 | Dynamic Light Scattering (DLS) |
| Ionic strength | 150-300 mM NaCl | Thermal shift assays |
| Buffer system | HEPES, Phosphate, Tris | Circular dichroism stability |
| Additives | 5-10% glycerol, 0.5-2 mM TCEP | SEC-MALS analysis |
| Storage temperature | -80°C (long-term), 4°C (working) | Activity assays over time |
Methodology for stability assessment:
Time-course stability studies: Aliquot protein and store under various conditions, testing activity/structure at regular intervals (0, 1, 3, 7, 14, 30 days)
Freeze-thaw stability: Subject protein to 0, 1, 3, 5 freeze-thaw cycles and assess structural integrity
Chemical denaturation: Titrate denaturants (urea, guanidinium HCl) and monitor unfolding by tryptophan fluorescence
Aggregation kinetics: Monitor by right-angle light scattering during thermal ramping experiments
For UPF0102 family proteins, which may have challenging stability profiles, establishing these parameters is crucial for generating reproducible experimental results.
Designing cell-based assays requires careful consideration of physiological relevance:
Cell Line Selection:
Primary macrophages (most relevant for T. whipplei infection)
THP-1 monocytic cells (differentiated with PMA)
Intestinal epithelial cell lines (Caco-2, HT-29) for host-pathogen interactions
Infection Protocol Optimization:
MOI (multiplicity of infection) titration (1:1 to 100:1)
Time-course experiments (4, 24, 48, 72 hours post-infection)
Quantification by qPCR, immunofluorescence, or flow cytometry
Genetic Manipulation Approaches:
CRISPR/Cas9 knockout of host interacting partners
siRNA knockdown for transient depletion studies
Overexpression of wild-type vs. mutant TW312 to assess function
Readout Selection:
Bacterial survival and replication rates
Host cell responses (cytokine production, cell death pathways)
Subcellular localization studies using confocal microscopy
Similar approaches have been used to study TW-37's effects on cell cycle regulation and apoptosis in cancer cells, revealing S-phase arrest mechanisms , which could provide methodological insights applicable to TW312 research.
In the absence of crystallographic data, several computational approaches can predict structure-function relationships:
Homology Modeling:
Identify structural templates using HHpred or SWISS-MODEL
Generate multiple models using different algorithms (MODELLER, Rosetta)
Validate models using PROCHECK, ERRAT, and Verify3D
Molecular Dynamics Simulations:
Perform all-atom simulations in explicit solvent (100-500 ns)
Analyze conformational flexibility and stability
Identify potential binding pockets and functional regions
Evolutionary Analysis:
Multiple sequence alignment of UPF0102 family proteins
Identification of conserved residues that may indicate functional importance
Analysis of co-evolving residues to predict interaction surfaces
Integrative Modeling:
Combine low-resolution experimental data (SAXS, cryo-EM)
Incorporate cross-linking mass spectrometry constraints
Refine models iteratively with experimental validation
The refined models can guide the design of site-directed mutagenesis experiments to test functional hypotheses, similar to approaches used to characterize TW-37's interaction with Bcl-2 family proteins .
Development of specific modulators for TW312 requires a systematic approach:
Target Validation:
Confirm essential role in pathogenesis through knockout/knockdown studies
Identify specific functional domains amenable to therapeutic intervention
Assess conservation across bacterial strains to predict spectrum of activity
High-Throughput Screening:
Develop biochemical assays suitable for screening (enzymatic, binding)
Design cell-based phenotypic assays with appropriate readouts
Screen diverse chemical libraries (10,000-100,000 compounds)
Structure-Activity Relationship (SAR) Analysis:
Synthesize analogs of initial hits
Perform systematic modification of chemical scaffolds
Correlate structural features with biological activity
Mode of Action Studies:
Confirm direct binding using biophysical methods (SPR, ITC)
Map binding sites using hydrogen-deuterium exchange mass spectrometry
Generate co-crystal structures when possible
This approached has been successfully applied to develop TW-37, a small-molecule inhibitor of Bcl-2 family proteins that demonstrates efficacy in cancer models by targeting specific protein-protein interactions .
Investigation of TW312's role in host cell signaling requires systematic analysis:
Transcriptomic Analysis:
RNA-seq of infected cells with wild-type vs. TW312-deficient bacteria
Time-course analysis to capture dynamic signaling events
Pathway enrichment analysis to identify affected signaling networks
Phosphoproteomics:
LC-MS/MS analysis of phosphorylated proteins in infected cells
Quantitative comparison of signaling pathway activation
Validation of key nodes using phospho-specific antibodies
Targeted Pathway Analysis:
Investigation of specific pathways (e.g., NF-κB, MAPK, Notch)
Reporter assays for transcriptional activity
Pharmacological inhibition to validate pathway involvement
Research on related proteins like TW-37 has revealed effects on the Notch signaling pathway, specifically downregulating Notch-1 (ICN) and Jagged-1 expression , suggesting potential mechanisms by which bacterial proteins might modulate host signaling.
To investigate potential cell cycle regulatory functions:
Synchronization Experiments:
Synchronize cells using double thymidine block or serum starvation
Introduce recombinant TW312 or activate endogenous expression
Monitor cell cycle progression by flow cytometry with propidium iodide staining
Analysis of Cell Cycle Regulators:
Western blot analysis of cyclins, CDKs, and cell cycle inhibitors
qRT-PCR to assess transcriptional regulation
Immunofluorescence to determine subcellular localization
BrdU Incorporation Assays:
Pulse-chase experiments to track S-phase progression
Co-staining with cell cycle markers to identify specific blocks
Quantitative image analysis for single-cell resolution data
Targeted Gene Expression Analysis:
Focus on S-phase regulatory genes (E2F-1, Survivin, cdc25A)
Chromatin immunoprecipitation to assess promoter binding
Luciferase reporter assays to quantify transcriptional effects
These approaches parallel those used to demonstrate that TW-37 induces S-phase arrest in pancreatic cancer cells, accompanied by altered expression of cell cycle regulatory factors , providing a methodological framework for TW312 studies.