Recombinant bovine TMEM183 is produced under controlled conditions to ensure high purity and stability .
While the precise biological role of bovine TMEM183 is not fully characterized, studies on homologous proteins provide clues:
Membrane Protein Insertion: TMEM183 may interact with translocon complexes like Sec61/SecYEG, which facilitate transmembrane domain (TM) insertion into lipid bilayers .
Hypothetical Roles: Potential involvement in membrane protein folding, stability, or intracellular trafficking, akin to other TMEM family proteins .
| Vendor | Product Code | Quantity | Price (USD) |
|---|---|---|---|
| Creative BioMart | RFL20055BF | 50 µg | $1,732 |
Functional Elucidation: Define TMEM183’s role in membrane protein biogenesis or signaling pathways.
Structural Resolution: Cryo-EM or X-ray crystallography to resolve 3D architecture.
Interaction Mapping: Identify binding partners using high-throughput proteomics.
KEGG: bta:534797
UniGene: Bt.53284
Bovine Transmembrane Protein 183 (TMEM183) is a membrane-spanning protein found in bovine cells that plays potential roles in cellular signaling and membrane transport. Similar to other recombinant bovine proteins, TMEM183 is significant for understanding cellular mechanisms and potential biomarker applications. Research approaches for TMEM183 can be informed by methodologies used for other recombinant bovine proteins, which typically involve expression in bacterial systems, purification using affinity chromatography, and functional characterization through various biochemical and biophysical techniques .
For transmembrane proteins like TMEM183, bacterial expression systems utilizing E. coli strains such as Lemo21 (DE3) are commonly employed. This strain allows for controlled expression through IPTG induction. Based on protocols for other recombinant bovine proteins, optimal expression conditions would include:
Transformation into E. coli Lemo21 (DE3)
Culture on LB agar with appropriate antibiotics (typically kanamycin at 50 μg/mL)
Incubation at 30°C for 12-16 hours
Inoculation of single colonies into LB broth with antibiotics
Induction at OD600 of 0.4 with IPTG (0.4 mM final concentration)
Post-induction incubation for 3 hours at 30°C with 200 rpm shaking
For membrane proteins that show poor expression, lower temperature incubation (16°C for 18 hours) may significantly improve yields, as demonstrated with other recombinant proteins .
Confirmation of successful TMEM183 expression requires:
SDS-PAGE analysis to visualize protein bands at the expected molecular weight
Western blotting using anti-His Tag antibodies (if a His-tag was incorporated)
Visualization using chemiluminescence imaging systems
Mass spectrometry confirmation of protein identity
Protein identification through LC-MS/MS is particularly valuable, involving:
Excision of the protein band from SDS-PAGE
In-gel trypsin digestion
Peptide extraction and analysis using LC-MS/MS
Database searching against UniProt or NCBI using software like Mascot
Confirmation based on peptide matches with P-values less than 0.05
Transmembrane proteins frequently form inclusion bodies during recombinant expression. Based on studies with other recombinant bovine proteins, effective solubilization strategies include:
| Lysis Buffer | Composition | Effectiveness for Membrane Proteins |
|---|---|---|
| PBS with lysozyme | PBS + 0.1 mg/mL lysozyme | Low solubilization efficiency |
| PBS with lysozyme and detergent | PBS + 0.1 mg/mL lysozyme + 1% Triton X-100 | Moderate solubilization |
| ENZhance buffer | Proprietary composition | Moderate solubilization |
| PCL lysis buffer | 8 mM Na₂HPO₄, 286 mM NaCl, 1.4 mM KH₂PO₄, 2.6 mM KCl, 1% SDS (w/v), pH 7.4 | High solubilization efficiency |
For TMEM183, PCL lysis buffer containing strong detergents would likely be most effective, as demonstrated with other membrane-associated proteins that remain primarily in the insoluble fraction with milder lysis conditions .
For transmembrane proteins like TMEM183, purification typically involves:
Anionic denaturation of inclusion bodies
Affinity chromatography (typically His-tag based)
Gradient elution with increasing imidazole concentrations
SDS-PAGE and Western blot confirmation of purified fractions
Desalting using centrifugal filter units (30 kDa molecular weight cutoff)
Protein concentration determination using Bradford or similar assays
Researchers should be vigilant about potential degradation after purification, as observed with some recombinant bovine proteins that showed significant degradation within 48 hours of purification .
Stability assessment for TMEM183 should include:
Time-course analysis of purified protein using SDS-PAGE and Western blotting
Testing storage conditions (temperature, buffer composition, additives)
Monitoring degradation patterns
Potential stability enhancers include:
Addition of protease inhibitors
Storage at -80°C in small aliquots
Addition of glycerol (10-20%) to storage buffer
Use of reducing agents like DTT or β-mercaptoethanol
Buffer optimization for pH and salt concentration
Some recombinant bovine proteins showed significant degradation within 48 hours after purification, suggesting that immediate use or proper stabilization methods are crucial .
Multiple analytical techniques provide complementary information about TMEM183:
Protein Identification:
LC-MS/MS analysis following tryptic digestion
Database searching with parameters including:
Structural Analysis:
Circular dichroism for secondary structure evaluation
Size-exclusion chromatography for oligomeric state
Limited proteolysis for domain identification
Functional Analysis:
Binding assays with potential interaction partners
Transport assays if relevant to function
Antibody recognition tests
While specific information about TMEM183 as a biomarker is not available, approaches can be informed by other recombinant bovine protein biomarker studies:
Develop specific antibody-based detection methods (ELISA, multiplexed immunoassays)
Establish baseline expression levels in various bovine tissues
Investigate concentration changes under different physiological conditions
Assess stability and half-life in biological samples
Evaluate specificity and sensitivity as a biomarker
When developing biomarker applications, it's important to consider:
Inter-individual physiological differences affecting baseline levels
Factors influencing expression (age, physiological state)
Responders vs. non-responders in experimental conditions
Decision limits for biomarker positivity based on reference populations
For multiplex assays incorporating TMEM183 alongside other proteins:
Ensure antibody specificity with minimal cross-reactivity
Optimize buffer conditions compatible with all target proteins
Establish individual decision limits for each biomarker
Consider additive biomarker analysis approaches for improved predictive power
Account for inter-individual differences in baseline levels
Calculate true-positive and false-positive rates for assay validation
Research with other bovine protein biomarkers demonstrates that combining multiple markers often provides better predictive power than single markers alone. In some studies, while individual biomarkers failed to reach the targeted 95% true-prediction rate, combining biomarker results significantly improved detection capabilities .
Effective experimental design for TMEM183 expression studies should include:
Study design elements:
Clear adaptation/baseline period (typically 2 weeks)
Well-defined treatment periods
Appropriate withdrawal periods
Inclusion of untreated control animals
Sufficient biological replicates (minimum n=6 per group)
Time-course sampling to capture expression dynamics
Controls and reference points:
Data analysis approaches:
Time-course expression profiles
Calculation of true-positive and false-positive rates
Statistical methods accounting for inter-individual variations
Integration of multiple biomarkers when relevant
Based on experiences with other recombinant bovine proteins, common challenges include:
Poor expression levels:
Solution: Optimize codon usage for E. coli
Solution: Test lower temperature induction (16°C for 18h)
Solution: Evaluate alternative expression strains
Protein insolubility:
Solution: Use stronger lysis buffers containing SDS or other strong detergents
Solution: Develop refolding protocols from inclusion bodies
Solution: Consider membrane-mimetic environments for refolding
Protein degradation:
Solution: Add protease inhibitors during purification
Solution: Minimize processing time
Solution: Optimize storage conditions immediately after purification
Non-specific antibody binding:
When faced with contradictory results across studies:
Examine differences in experimental protocols:
Expression systems and conditions
Purification methods
Detection techniques
Sample preparation procedures
Consider biological variables:
Age differences among study animals (younger vs. older animals may show different response patterns)
Physiological state variations
Genetic backgrounds
Environmental factors
Analyze methodological differences:
Antibody specificity and sensitivity
Decision limit calculations
Data normalization approaches
Statistical methods employed
Research with other bovine proteins has shown that factors such as age can significantly affect experimental outcomes. For example, in studies of bovine somatotropin biomarkers, antibody responses tended to be higher in older animals, while responses in younger animals declined more quickly .
Site-directed mutagenesis offers powerful insights into TMEM183 function:
Target selection strategies:
Conserved residues across species
Predicted transmembrane domains
Potential phosphorylation or glycosylation sites
Regions with predicted functional motifs
Mutagenesis approach:
PCR-based site-directed mutagenesis
Gibson assembly for larger modifications
CRISPR-Cas9 for genomic modifications in cell lines
Functional assessment:
Expression level comparison to wild-type
Subcellular localization analysis
Interaction partner binding assays
Functional activity measurements
Structure-function correlation:
Mapping critical residues to predicted structural models
Comparing effects of conservative versus non-conservative substitutions
Evaluating the impact of mutations on protein stability and folding
Advanced computational methods for TMEM183 analysis include:
Structure prediction:
Transmembrane topology prediction (TMHMM, Phobius)
Homology modeling using related proteins
Ab initio modeling for unique regions
AlphaFold2 or RoseTTAFold for whole protein prediction
Interaction prediction:
Molecular docking simulations
Protein-protein interaction network analysis
Coevolution analysis for predicting interaction interfaces
Molecular dynamics simulations of membrane integration
Functional prediction:
Conserved domain identification
Functional motif recognition
Gene ontology term assignment
Integration with tissue-specific expression data
These computational approaches can guide experimental design and help interpret experimental results within a broader structural and functional context.
Incorporating TMEM183 into proteomics workflows requires:
Bait preparation strategies:
Expression with affinity tags (His, GST, FLAG)
Validation of functional integrity after tagging
Immobilization on appropriate matrices
Pull-down methodologies:
Co-immunoprecipitation with anti-TMEM183 antibodies
Tandem affinity purification for higher purity
Proximity-based labeling (BioID, APEX) for transient interactions
Crosslinking approaches for capturing weak interactions
Mass spectrometry analysis:
Data analysis:
Comparison against negative controls
Statistical filtering for significant interactions
Network analysis of identified partners
Validation of key interactions through orthogonal methods