Recombinant Macaca fascicularis Leucine-rich repeat-containing protein 53 (LRRC53) is a protein derived from the long-tailed macaque, a species of primate closely related to humans. This protein is part of the leucine-rich repeat (LRR) family, which is known for its role in protein-protein interactions and signal transduction. The recombinant form of LRRC53 is engineered to facilitate research and potential therapeutic applications by providing a consistent and reliable source of the protein.
LRRC53 proteins are characterized by their leucine-rich repeat domains, which are involved in various biological processes, including cell signaling and immune responses. These domains are crucial for the protein's ability to interact with other molecules, influencing cellular functions and potentially participating in disease mechanisms.
| Feature | Description |
|---|---|
| Domain | Leucine-rich repeat domains |
| Function | Protein-protein interactions, signal transduction |
| Location | Predicted to be located in the plasma membrane |
Recombinant LRRC53 proteins are produced using biotechnology techniques, where the gene encoding LRRC53 is inserted into an expression vector and then expressed in a suitable host organism, such as bacteria or mammalian cells. This process allows for the large-scale production of the protein with high purity and consistency.
UniGene: Mfa.2244
Macaca fascicularis Leucine-rich Repeat-containing Protein 53 (LRRC53) is a 510 amino acid protein characterized by multiple leucine-rich repeat domains. The commercially available recombinant form contains the full-length protein (amino acids 1-510) with the complete amino acid sequence: MLQLVAACPESCVVCTKDVTLCHQLTYIVAAPMTTRVLIITDGYLSSIESTNLSLLFNLALLSLSRNGIEDVQEDALDGLTMLRTLLLEHNQISSSSLTDHTFSKLHSLQVLVLSNNALRTLRGSWFRNTRGLTRLQLDGNQITNLTDSSFGGTNLHSLRHLDLSNNFISYIGKDAFRPLPQLQEVDLSRNRLAHMPDVFTPLKQLIHLSLDKNQWSCTCDLHPLARFLRNYIKSSAHTLRNAKDLNCQPSTAAVAAAQSVLRLSETNCDPKAPNFTLVLKDRSPLLPGQDVALLTVLGFAGAVGLTCLGLVVFNWKLQQGKANEHTSENLCCRTFDEPLCAHGARNYHTKGYCNCHLTQENEIKVMSIVGSRKEMPLLQENSHQATSASESTTLDGSFRNLKKKDHGVGSTLFCQDGRLLHSRCSQSPGNTTAFNEAGLLTTYNSRKVQKLRNLESGEVLPQTLPHHIIRTEDISSDTFRRRYAIPTSALAGESLEKHLTNESCLHTLN .
The protein contains characteristic leucine-rich repeat domains that are typically involved in protein-protein interactions and may play roles in signal transduction or other cellular processes.
Recombinant Macaca fascicularis LRRC53 is typically expressed in prokaryotic expression systems, particularly E. coli, for research applications . The protein is engineered to include an N-terminal His-tag to facilitate purification using affinity chromatography. After expression, the protein undergoes purification processes to achieve >90% purity as determined by SDS-PAGE analysis . The final product is typically provided as a lyophilized powder in a Tris/PBS-based buffer containing 6% trehalose at pH 8.0 . This production method allows for consistent quality and quantity of the protein for experimental use.
For optimal preservation of recombinant Macaca fascicularis LRRC53 activity, the protein should be stored at -20°C to -80°C upon receipt . Aliquoting is necessary for multiple uses to avoid repeated freeze-thaw cycles, which can degrade protein structure and function. For short-term use, working aliquots can be stored at 4°C for up to one week .
For reconstitution, it is recommended to:
Briefly centrifuge the vial prior to opening
Reconstitute the protein in deionized sterile water to a concentration of 0.1-1.0 mg/mL
Add glycerol to a final concentration of 5-50% (typically 50%) for long-term storage
This methodological approach maximizes protein stability and experimental reproducibility.
When using Macaca fascicularis LRRC53 as a model for human studies, researchers must consider the sequence homology between species. Available data shows that human LRRC53 has relatively low sequence identity with other mammalian orthologs (29% with mouse and rat) . While specific homology data between human and Macaca fascicularis LRRC53 is not directly provided in the search results, the general phylogenetic proximity of macaques to humans suggests potentially higher conservation than with rodents.
Experimental designs should account for these sequence differences by:
Performing protein alignment analyses prior to designing antibodies or interaction studies
Validating antibody cross-reactivity between species if using anti-human antibodies
Considering potential functional differences when extrapolating results between species
Using appropriate negative controls to verify specificity of observed interactions
Researchers should be aware that despite cynomolgus macaques being phylogenetically closer to humans than rodents, significant protein-specific differences may exist that can impact experimental outcomes and interpretation .
When designing immunological experiments with recombinant Macaca fascicularis LRRC53, several important considerations should be taken into account:
Expression system impact: The E. coli-expressed recombinant protein lacks eukaryotic post-translational modifications, which may affect protein folding, activity, and immunogenicity compared to the native protein .
Tag interference: The His-tag at the N-terminus may influence protein function or antibody recognition in certain experimental settings. Control experiments with tag-cleaved protein may be necessary for validation .
Species-specific immune responses: When studying immune responses in different animal models, researchers should consider that Macaca fascicularis has a distinct MHC polymorphism that influences antigen presentation and immune responses . The MHC genotype of experimental animals should be characterized when assessing immune responses to LRRC53.
Endotoxin contamination: Proteins expressed in E. coli may contain endotoxin contaminants that can trigger innate immune responses, potentially confounding results in immunological experiments. Endotoxin testing and removal may be necessary .
These methodological considerations help ensure experimental validity and reproducibility in immunological research involving recombinant LRRC53.
Given the leucine-rich repeat structure of LRRC53, which typically mediates protein-protein interactions, several methods can be optimized for studying its binding partners:
Co-immunoprecipitation (Co-IP):
Use anti-His antibodies to pull down His-tagged LRRC53 and identify interacting proteins
Alternatively, use anti-LRRC53 specific antibodies when available
Include appropriate controls: tag-only proteins, irrelevant proteins of similar size
Pull-down assays:
Immobilize purified recombinant LRRC53 on Ni-NTA or other affinity resins
Incubate with cell lysates or purified candidate proteins
Wash extensively to remove non-specific binding
Elute and analyze bound proteins by mass spectrometry or immunoblotting
Surface Plasmon Resonance (SPR):
Immobilize LRRC53 on a sensor chip
Flow potential binding partners over the surface
Measure real-time binding kinetics
Calculate association and dissociation constants
Yeast Two-Hybrid screening:
Use LRRC53 as bait to identify novel interacting partners
Validate findings with orthogonal methods listed above
These methodological approaches should be adapted based on the specific experimental questions and available resources.
The functional characterization of LRRC53 presents challenges due to limited existing literature specifically focusing on this protein. A comprehensive approach to address these limitations includes:
Comparative genomics and in silico analysis:
Perform phylogenetic analysis comparing LRRC53 across species
Use structural prediction tools to identify functional domains
Apply protein-protein interaction prediction algorithms to identify potential binding partners
Analyze tissue expression patterns using available transcriptomic datasets
Generation of cellular models:
Develop LRRC53 knockout and overexpression systems in relevant cell lines
Use CRISPR-Cas9 to introduce tagged versions at endogenous loci
Create domain deletion mutants to identify critical functional regions
Multi-omics approach:
Perform proteomics analysis of LRRC53 interactome under different conditions
Analyze transcriptome changes following LRRC53 modulation
Investigate post-translational modifications using mass spectrometry
Collaborative cross-disciplinary research:
Establish collaborations with structural biologists for crystallography studies
Partner with immunologists to investigate potential immune functions
Engage computational biologists for systems-level analysis
This methodological framework provides a systematic approach to functional characterization despite the current knowledge gaps.
Developing a robust assay to measure LRRC53 activity requires careful consideration of protein characteristics and potential functions. Since leucine-rich repeat proteins often function in signaling pathways or protein-protein interactions, assay development should consider:
Activity definition considerations:
Determine whether to measure binding activity, signaling outcomes, or structural changes
Identify cellular contexts where LRRC53 is physiologically relevant
Consider whether activity requires co-factors or post-translational modifications absent in recombinant protein
Assay methodology options:
Binding assays using fluorescence polarization or FRET if interacting partners are known
Cell-based reporter assays if LRRC53 impacts specific signaling pathways
Structural assays (circular dichroism, thermal shift) to measure conformational changes upon ligand binding
Validation strategy:
Include positive and negative controls (related proteins with known functions)
Test activity across concentration ranges to establish dose-response relationships
Confirm specificity using competitive inhibitors or blocking antibodies
Assess reproducibility across different protein batches and experimental conditions
Physiological relevance verification:
Compare results using recombinant protein versus endogenously expressed LRRC53
Validate findings in primary cells from Macaca fascicularis
Consider species differences when extrapolating findings to human systems
This comprehensive approach facilitates development of meaningful activity assays despite limited prior characterization of LRRC53 function.
When studying immune responses to LRRC53 in Macaca fascicularis models, researchers must address the significant impact of MHC polymorphism, which can dramatically influence experimental outcomes. A methodological approach includes:
MHC genotyping of experimental animals:
Epitope prediction and validation:
Use computational tools to predict LRRC53 epitopes that bind to common Macaca fascicularis MHC molecules
Experimentally validate binding using in vitro MHC-peptide binding assays
Map T cell responses to specific epitopes using ELISpot or intracellular cytokine staining
Experimental design considerations:
Data analysis approach:
Stratify immunological readouts based on MHC genotypes
Apply multivariate analysis to distinguish MHC effects from experimental variables
Report MHC types alongside experimental results to facilitate interpretation
This framework addresses the established fact that MHC polymorphism significantly influences immune responses in nonhuman primate models, as documented in infectious disease and vaccine studies using Macaca fascicularis .
Before using recombinant Macaca fascicularis LRRC53 in experiments, researchers should assess several critical quality control parameters to ensure experimental reproducibility and valid results:
Purity assessment:
Functional verification:
Assess protein folding using circular dichroism or fluorescence spectroscopy
Verify tag accessibility via small-scale pull-down if His-tag functionality is required
Perform binding assays with known interactors if available
Contamination testing:
Test for endotoxin contamination, especially critical for immunological experiments
Assess microbial contamination if protein will be used in long-term cell culture
Verify buffer composition matches specifications
Batch consistency analysis:
Compare new batches with previously validated lots
Maintain reference samples from effective batches
Document lot-specific information including expression date and conditions
These methodological quality control steps should be documented and included in experimental methods sections to enhance reproducibility and scientific rigor.
Developing effective antibodies against Macaca fascicularis LRRC53 requires strategic approaches that account for protein characteristics and experimental applications:
Antigen design considerations:
For monoclonal antibodies, select unique epitopes with low homology to other LRR proteins
Consider synthetic peptides from predicted surface-exposed regions
Evaluate cross-reactivity potential with human LRRC53 if dual-species recognition is desired
Host selection strategy:
Choose host species phylogenetically distant from primates to maximize immunogenicity
Consider rabbits for polyclonal antibodies or mice for monoclonal development
Evaluate multiple host species if initial attempts yield poor responses
Validation methodology:
Application-specific optimization:
For immunohistochemistry: test various fixation methods and antigen retrieval techniques
For flow cytometry: optimize antibody concentration and staining buffers
For neutralization studies: screen for antibodies targeting functional domains
This methodological framework enhances the likelihood of generating high-quality antibodies for LRRC53 research applications.
Comparative studies between macaque and human LRRC53 present unique challenges that require specific methodological approaches:
Sequence and structural analysis framework:
Perform detailed sequence alignment to identify conserved and divergent regions
Use homology modeling to predict structural differences
Compare post-translational modification sites between species
Analyze conservation of binding interfaces for potential interaction partners
Expression system standardization:
Express both proteins in identical systems (e.g., same E. coli strain or mammalian cell line)
Use identical tags and purification protocols
Characterize both proteins using the same analytical methods
Process and store proteins under identical conditions
Functional comparison methodology:
Develop parallel assays with identical conditions for both proteins
Use chimeric constructs to identify functionally divergent domains
Test interaction with conserved binding partners from both species
Measure binding kinetics using surface plasmon resonance or similar techniques
Translational research considerations:
Evaluate both proteins in identical cellular contexts
Consider the impact of species-specific co-factors on functional outcomes
Document species differences alongside similarities
Explicitly state limitations when extrapolating between species
These methodological approaches help researchers navigate the challenges inherent in cross-species protein comparisons while maximizing translational value between macaque models and human applications .