Note: We will prioritize shipping the format currently in stock. If you require a specific format, please specify this in your order notes, and we will accommodate your request.
Note: All proteins are shipped with standard blue ice packs. Dry ice shipping requires prior arrangement and incurs additional charges.
The tag type is determined during production. If you require a specific tag, please inform us, and we will prioritize its development.
A key rRNA-binding protein, it directly interacts with 16S rRNA, facilitating the nucleation of the 30S ribosomal subunit platform by binding and bridging several RNA helices within the 16S rRNA. It also forms an intersubunit bridge (bridge B4) with the 23S rRNA of the 50S subunit in the complete ribosome.
KEGG: cca:CCA_00761
STRING: 227941.CCA00761
The rpsO gene in C. caviae is part of the 1,173,390 nucleotide genome, which contains a total of 1,009 annotated genes. The C. caviae genome shares 798 conserved genes across all other completed Chlamydiaceae genomes, but also contains 68 unique genes that lack orthologs in other chlamydial species . The rpsO gene encodes the 30S ribosomal protein S15, which plays a crucial role in ribosome assembly and autoregulation. The genomic context of rpsO is important for understanding its expression and regulation, as seen in other bacterial species where rpsO is often part of larger operons such as the metY-rpsO operon structure observed in some bacteria .
Based on successful approaches with other bacterial rpsO genes, researchers should consider:
PCR amplification of the C. caviae rpsO gene from genomic DNA using specific primers designed based on the published genome sequence .
Cloning into an expression vector such as pBR322, which has been successfully used for E. coli rpsO . The procedure would involve:
Restriction enzyme digestion
Ligation into the expression vector
Transformation into a suitable E. coli host strain
Expression verification can be performed by transforming the recombinant plasmid into another bacterial species (such as Serratia marcescens as demonstrated with E. coli S15) to prove that the expressed protein can be incorporated into ribosome particles .
For temperature-sensitive expression systems, consider using vectors like pRF3, which changes copy number depending on growth temperature in temperature-sensitive polA hosts .
To study S15-mRNA interactions:
Footprinting experiments: Use RNA footprinting to characterize the S15 binding site on its mRNA, following approaches used for T. thermophilus S15 studies .
Deletion analysis and site-directed mutagenesis: Create variants of the putative S15 binding site on the mRNA to identify critical nucleotides for protein binding .
Conformational rearrangement analysis: Study whether S15 binding triggers conformational changes in its mRNA, potentially using techniques like chemical probing or SHAPE analysis .
Competition assays: Design direct competition experiments between ribosomal subunits and S15 for mRNA binding to demonstrate translational regulation mechanisms .
Use RNase T1 susceptibility experiments to assess whether C. caviae S15 acts as an RNA chaperone, similar to studies performed with E. coli CspA and CspE proteins .
Based on successful PCR detection strategies for Chlamydiaceae:
Design SYBR green-based real-time assays that:
Target conserved regions of the rpsO gene
Include appropriate controls to ensure specificity
Optimize sample preparation by:
For improved sensitivity:
Consider nested PCR approaches
Design primers based on conserved regions identified through multiple sequence alignment of rpsO genes from various Chlamydiaceae species
For specificity validation:
To study S15's role in ribosome assembly:
Gene deletion studies: Create an in-frame deletion of rpsO in C. caviae, similar to studies in E. coli that revealed:
In vitro reconstitution experiments:
Purify native or recombinant C. caviae S15
Perform reconstitution of 30S subunits with and without S15
Analyze the assembly hierarchy and dependency relationships
Subunit association analysis:
Temperature sensitivity studies:
When analyzing comparative data between wild-type and recombinant S15:
Statistical analysis approaches:
For binding studies:
Calculate binding affinities and compare them between wild-type and recombinant proteins
Analyze kinetic parameters to identify any functional differences
Structural integrity assessment:
Compare circular dichroism spectra
Verify thermal stability profiles
Use limited proteolysis to compare domain organization
For in vivo functionality:
Measure complementation efficiency in ΔrpsO strains
Analyze growth rates and ribosome profiles
Compare translational fidelity using reporter systems
Data presentation:
Essential controls include:
Protein purity and integrity controls:
SDS-PAGE analysis of purified recombinant protein
Western blotting with anti-S15 antibodies
Mass spectrometry verification of protein identity
Functional controls:
Comparison with wild-type S15 from C. caviae
Parallel experiments with well-characterized S15 from model organisms like E. coli
Use of non-functional S15 mutants as negative controls
Expression system controls:
Empty vector transformants
Host strains without plasmid
Induction controls (with and without inducer)
For binding studies:
Non-specific RNA or DNA as negative binding controls
Known S15-binding RNA sequences as positive controls
Competition assays with unlabeled RNA
In complementation studies:
Research on C. caviae S15 has several potential applications:
As a target for antimicrobial development:
The essential role of S15 in ribosome assembly makes it a potential target
Species-specific features of C. caviae S15 could allow for targeted therapies
Structural studies could reveal unique binding pockets for small molecule inhibitors
Diagnostic applications:
Understanding host-pathogen interactions:
Vaccine development considerations:
If surface-exposed, S15 epitopes could potentially be incorporated into vaccine designs
Understanding translational regulation could help optimize antigen expression in attenuated vaccine strains
Comparative genomic analyses can reveal:
Evolutionary conservation patterns:
Niche-specific adaptations:
Comparing rpsO sequences across species that infect different hosts may reveal selection pressures
Analysis of regulatory elements in the rpsO region could uncover differential expression mechanisms
Horizontal gene transfer assessment:
Regulatory mechanism evolution:
Comparing rpsO leader sequences across species may reveal convergent or divergent evolution in autoregulatory mechanisms
Studies of T. thermophilus and E. coli revealed that "the two regulatory mRNA targets do not share any similarity and that the mechanisms of translational inhibition are different"
| Chlamydiaceae Species Comparison | Chromosome (nt) | Plasmid/phage (nt) | GC (%) | Total ORFs | Conserved hypothetical (%) | Hypothetical (%) | tRNAs | rRNA operons |
|---|---|---|---|---|---|---|---|---|
| C. caviae | 1,173,390 | 7,966 | 39.2 | 1,009 | 320 (31.7) | 84 (8.3) | 38 | 1 |
| C. muridarum | 1,072,950 | 7,501 | 40.3 | 921 | 281 (30.5) | 77 (8.3) | 37 | 2 |
| C. trachomatis (serovar D) | 1,042,519 | 7,493 | 41.3 | 894 | nd | nd | 37 | 2 |
| C. pneumoniae (AR39) | 1,229,858 | 4,524 | 40.6 | 1,130 | 285 (25.2) | 263 (23.2) | 38 | 1 |
Table 1: Genomic comparison of Chlamydiaceae species
Common challenges and solutions:
Low expression levels:
Protein solubility issues:
Modify buffer conditions (pH, salt concentration, additives)
Express at lower temperatures (16-25°C)
Use solubility-enhancing tags
Try different E. coli strains designed for problematic protein expression
Protein functionality concerns:
Verify proper folding using circular dichroism
Test functionality using RNA binding assays
Compare with wild-type protein
Consider native purification conditions
Contamination with host proteins:
Implement additional purification steps
Use affinity tags placed to minimize interference with function
Consider on-column refolding protocols if necessary
RNA contamination:
Include nuclease treatment steps
Use high-salt washes to disrupt protein-RNA interactions
Apply more stringent size exclusion chromatography conditions
Based on effective detection methods for Chlamydiaceae:
Sample preparation optimization:
Enhancing detection sensitivity:
Addressing cross-reactivity:
Overcoming inhibition:
Include internal amplification controls to identify PCR inhibition
Use appropriate DNA extraction methods to remove inhibitors
Consider sample dilution if inhibitors are present
Distinguishing between species: