KEGG: bta:768020
UniGene: Bt.71188
E. coli represents the established expression system for producing Recombinant Bovine Uncharacterized protein C1orf185 homolog, as documented in current research . When designing expression strategies, researchers should consider several optimization parameters:
Vector selection: Utilize vectors with strong promoters (T7 or similar) for high-level expression
E. coli strain: BL21(DE3) or Rosetta strains are recommended for recombinant protein production
Induction conditions: Optimize IPTG concentration, temperature, and duration to maximize yield while maintaining solubility
Affinity tags: The N-terminal His-tag facilitates purification through immobilized metal affinity chromatography (IMAC)
While bacterial systems are currently documented for this protein, advanced research questions might benefit from exploring alternative expression platforms:
| Expression System | Advantages | Considerations |
|---|---|---|
| E. coli | High yield, cost-effective, established protocols | Limited post-translational modifications |
| Mammalian cells | Native-like post-translational modifications | Higher cost, lower yield, longer timeline |
| Insect cells | Better folding of complex proteins | Moderate cost, moderate yield |
| Yeast | Balance between yield and eukaryotic processing | Strain-specific optimization required |
To maintain stability and functionality of the Recombinant Bovine Uncharacterized protein C1orf185 homolog, researchers should adhere to these evidence-based storage protocols:
Long-term storage: Store at -20°C to -80°C in aliquots to prevent repeated freeze-thaw cycles
Short-term storage: Working aliquots can be maintained at 4°C for up to one week
Storage buffer: Tris/PBS-based buffer with 6% Trehalose, pH 8.0
Cryoprotection: Addition of 5-50% glycerol (final concentration) is recommended for freeze protection
For reconstitution of lyophilized protein:
Centrifuge the vial briefly before opening to collect material at the bottom
Reconstitute in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Add glycerol to final concentration of 5-50% (default recommendation: 50%)
Prepare working aliquots to avoid repeated freeze-thaw cycles
In the absence of experimentally determined structures, researchers can employ a systematic computational workflow to predict structural features:
Primary sequence analysis:
Hydrophobicity profiling to identify potential transmembrane regions
Charge distribution analysis to predict surface-exposed regions
Detection of conserved motifs through multiple sequence alignment
Secondary structure prediction:
Utilize algorithms like PSIPRED, JPred, or GOR to predict α-helices, β-sheets, and random coils
Estimate secondary structure content percentages
Tertiary structure modeling:
Homology modeling if suitable templates exist
Ab initio modeling approaches like AlphaFold2
Structure validation using Ramachandran plots and quality assessment tools
Similar in silico approaches have been successfully applied to other bovine proteins, such as BPV E6 recombinant proteins, where alignment and identity matrix analysis revealed key structural insights :
| Nucleotide | Codon | Amino acid |
|---|---|---|
| Position | Ref. → Rec. | Ref. → Rec. |
| 48 | T → C | GAU → GAC |
| 73 | A → T | ACA → UCA |
| 78 | A → G | GAA → GAG |
| 155 | T → C | AUU → ACU |
Researchers investigating the structural properties of Bovine C1orf185 homolog should consider a multi-technique approach:
Circular dichroism (CD) spectroscopy:
Far-UV CD (190-250 nm) for secondary structure estimation
Near-UV CD (250-350 nm) for tertiary structure fingerprinting
Thermal denaturation to assess stability and folding transitions
Nuclear Magnetic Resonance (NMR) spectroscopy:
1D proton NMR for initial structural assessment
2D/3D NMR for more detailed structural information if protein size permits
Chemical shift analysis to identify secondary structure elements
X-ray crystallography:
Crystallization screening with varying precipitants, buffers, and additives
Diffraction data collection and structure determination
Cryo-electron microscopy:
Single-particle analysis for higher molecular weight complexes
Structural determination at near-atomic resolution
Limited proteolysis:
Identification of stable domains and flexible regions
Mass spectrometry analysis of proteolytic fragments
Given the limited functional information available for Bovine C1orf185 homolog, researchers should implement a systematic functional characterization strategy:
Localization studies:
Expression profiling:
RT-qPCR across tissues and developmental stages
RNA-seq data analysis from bovine tissue repositories
Western blot analysis of protein expression patterns
Loss-of-function studies:
siRNA or shRNA-mediated knockdown
CRISPR-Cas9 genome editing to generate knockout cell lines
Phenotypic analysis of knockout cells (morphology, proliferation, metabolism)
Protein-protein interaction studies:
Co-immunoprecipitation with candidate interactors
Affinity purification-mass spectrometry (AP-MS)
Proximity labeling techniques (BioID, APEX2)
Yeast two-hybrid screening of bovine cDNA libraries
When performing gene expression studies in bovine tissues, researchers should select appropriate reference genes for normalization. Based on systematic evaluation, RPS9 and SUZ12 have been identified as stable reference genes in bovine caruncular epithelial cells under hormonal treatments :
| Gene Name | Gene Stability Value | Expression Stability |
|---|---|---|
| RPS9 | 0.076 | Most stable |
| SUZ12 | 0.076 | Most stable |
| CNOT11 | 0.081 | Stable |
| ACTR1A | 0.082 | Stable |
| HDAC1 | 0.090 | Less stable |
| HPRT1 | 0.094 | Least stable |
The rat homolog of C1orf185 (C5h1orf185) shows altered methylation and expression patterns in response to environmental chemicals, suggesting epigenetic regulation is relevant for this gene family . Researchers investigating epigenetic regulation should consider:
DNA methylation analysis:
Bisulfite sequencing of the promoter region
Methylation-specific PCR
Response to DNA methyltransferase inhibitors (e.g., 5-azacytidine)
Environmental/chemical responses:
Chromatin modification analysis:
ChIP-seq for histone modifications
ATAC-seq for chromatin accessibility
Treatment with histone deacetylase inhibitors
Experimental design considerations:
Use multiple cell types relevant to bovine physiology
Include appropriate time points to capture dynamic changes
Employ both genomic and gene-specific approaches
Validating functional activity of an uncharacterized protein presents unique challenges. Researchers should implement a comprehensive validation strategy:
Structural integrity assessment:
Circular dichroism spectroscopy for secondary structure
Thermal shift assays for stability
Size exclusion chromatography for oligomeric state
Limited proteolysis to identify stable domains
Binding partner validation:
Surface plasmon resonance (SPR) for binding kinetics
Isothermal titration calorimetry (ITC) for thermodynamic parameters
Pull-down assays with candidate interactors
Cellular activity validation:
Complementation assays in knockout cells
Target engagement in cellular contexts
Downstream signaling pathway analysis
Species-specific validation:
Cross-reactivity with antibodies against native bovine protein
Functional comparison with native protein from bovine tissues
Species-specific binding partner analysis
Understanding the evolutionary relationship between bovine and human C1orf185 provides insights into conserved functions and species-specific adaptations:
Sequence comparison:
Pairwise sequence alignment between bovine (Q2M2T8) and human C1orf185
Conservation analysis of functional domains
Identification of species-specific sequence variations
Structural comparison:
Comparative modeling of both proteins
Superimposition of predicted structures
Analysis of surface properties and electrostatic potential
Expression pattern comparison:
Analysis of tissue-specific expression profiles
Developmental regulation patterns
Response to physiological stimuli in both species
Post-translational modification prediction:
Conservation of modification sites between species
Species-specific modification patterns
Functional implications of differential modifications
Evolutionary analysis of C1orf185 homologs across multiple species can reveal:
Phylogenetic relationships:
Construction of phylogenetic trees
Estimation of evolutionary distances
Identification of clades and evolutionary patterns
Selection pressure analysis:
dN/dS ratio calculation to identify positively selected sites
Conservation analysis to identify functionally critical regions
Lineage-specific adaptation patterns
Domain architecture evolution:
Tracing the gain/loss of functional domains
Identification of ancestral protein features
Correlation with species-specific physiological adaptations
Correlation with physiological differences:
Relationship between protein variations and species physiology
Adaptation to different environmental niches
Functional specialization in different species
Expression optimization:
Induction conditions (temperature, IPTG concentration, duration)
E. coli strain selection
Codon optimization of the expression construct
Solubility enhancement:
Buffer optimization (pH, salt concentration, additives)
Co-expression with chaperones
Use of solubility tags (MBP, SUMO) if necessary
Multi-step purification strategy:
Initial IMAC purification using the His-tag
Secondary purification using size exclusion chromatography
Ion exchange chromatography for charge-based separation
Hydrophobic interaction chromatography if appropriate
Quality control metrics:
SDS-PAGE with densitometry for purity assessment
Western blotting for specificity
Mass spectrometry for identity confirmation
Dynamic light scattering for homogeneity analysis
Researchers aiming to optimize yield while preserving native structure should implement:
Expression condition screening:
Lower induction temperature (16-25°C) to slow expression and improve folding
Reduced IPTG concentration (0.1-0.5 mM)
Extended expression time at lower temperatures
Addition of compatible solutes (glycine betaine, trehalose)
Extraction optimization:
Gentle lysis methods (enzymatic lysis, freeze-thaw)
Buffer optimization with stabilizing additives
Addition of protease inhibitors
Reduced mechanical stress during homogenization
Chromatography optimization:
Gradient elution to improve separation
Optimized flow rates to maintain protein integrity
Column selection based on protein properties
Buffer composition that maintains native structure
Stability enhancement:
Addition of stabilizing agents (glycerol, trehalose)
pH optimization based on isoelectric point
Prevention of oxidation (reducing agents, anaerobic conditions)
Temperature control throughout purification
Given that related proteins like C5h1orf185 (rat homolog) show responses to hormonal treatments , Recombinant Bovine C1orf185 homolog may have applications in reproductive biology:
Placental function studies:
Expression analysis in caruncular epithelial cells
Response to progesterone, estrogen, and prostaglandin F2α
Role in maternal-fetal communication
Pregnancy establishment and maintenance:
Expression changes during early pregnancy
Potential role in implantation or placentation
Response to pregnancy-associated hormones
Methodological considerations:
Future research on Bovine C1orf185 homolog could leverage cutting-edge technologies:
CRISPR-based approaches:
Gene editing for functional studies
CRISPRi/CRISPRa for expression modulation
CRISPR screening for pathway identification
Single-cell technologies:
scRNA-seq for cell-type specific expression patterns
Spatial transcriptomics for tissue localization
Single-cell proteomics for protein-level analysis
Structural biology advances:
Cryo-EM for structure determination
Integrative structural biology approaches
Computational structure prediction with AI tools
Systems biology integration:
Multi-omics data integration
Network analysis of protein interactions
Pathway modeling and simulation