Recombinant Chicken Na (+)/H (+) exchange regulatory cofactor NHE-RF1, also known as SLC9A3R1, is a protein that plays a crucial role in regulating the sodium-hydrogen exchanger 3 (NHE3) in various cellular processes. This protein is encoded by the SLC9A3R1 gene and is known for its function as a scaffold protein, interacting with numerous other proteins to modulate their activities . The recombinant form of this protein is produced in various systems, including yeast and E. coli, for research and potential therapeutic applications .
SLC9A3R1 contains two tandem PDZ domains and a C-terminal ERM-binding domain, which enable it to interact with a wide range of proteins, including ion channels, receptors, and cytoskeletal proteins . These interactions are crucial for maintaining cellular polarity and regulating the expression of membrane proteins. For instance, SLC9A3R1 interacts with the cystic fibrosis transmembrane conductance regulator (CFTR) and G-protein coupled receptors like the beta2-adrenergic receptor .
SLC9A3R1 is involved in several cellular processes, including the regulation of autophagy, cell proliferation, and ion transport. It has been shown to stabilize BECN1, a key protein in autophagy initiation, by preventing its ubiquitin-dependent degradation . Additionally, SLC9A3R1 influences cell proliferation, particularly in cancer cells, where its overexpression can suppress tumor growth .
Recombinant SLC9A3R1 is produced using various expression systems such as yeast, E. coli, and mammalian cells . This recombinant protein is used in research to study its functions and interactions in detail. It also has potential applications in biotechnology and medicine, particularly in understanding and treating diseases related to ion transport and cellular regulation.
Recent studies have highlighted the role of SLC9A3R1 in circadian rhythm regulation. The circadian clock component PERIOD2 modulates the transcription of the SLC9A3R1 gene, leading to diurnal variations in its expression . This suggests that SLC9A3R1 may play a role in physiological processes that are influenced by the circadian cycle.
Interacting Protein | Function |
---|---|
BECN1 | Autophagy regulation |
PTEN | Tumor suppression and autophagy |
CFTR | Ion transport regulation |
Ezrin/Radixin/Moesin | Cytoskeletal organization |
NHE-RF1 (SLC9A3R1): A scaffold protein linking plasma membrane proteins to ezrin/moesin/radixin family members, facilitating connection to the actin cytoskeleton and regulating surface expression. Initially identified for its role in regulating SLC9A3 activity and subcellular localization, it may also enhance Wnt signaling.
SLC9A3R1 (solute carrier family 9, subfamily A [NHE3, cation proton antiporter 3], member 3 regulator 1) is a multifunctional scaffold protein that plays crucial roles in various cellular processes. It primarily functions in regulating transmembrane protein localization and retention at the plasma membrane . In cancer research, SLC9A3R1 has been identified as an important suppressor of breast cancer cell proliferation and a regulator of autophagy activation processes .
The protein contains multiple domains that facilitate its scaffold function, including two PDZ domains (PDZ I and PDZ II) and a C-terminal domain that are essential for its interactions with various binding partners . These structural elements enable SLC9A3R1 to participate in protein-protein interactions crucial for signal transduction, protein stability, and cellular localization.
In experimental systems, SLC9A3R1 has been shown to stabilize binding partners by preventing their ubiquitin-dependent degradation, as demonstrated with proteins like BECN1 (Beclin-1) and PTEN in breast cancer cell models .
Chicken SLC9A3R1 shares significant sequence homology with mammalian homologs, particularly in the conserved PDZ domains and functional binding regions. While the search results don't provide specific information about chicken SLC9A3R1, comparative analysis methods can be used to understand its relationship to better-studied mammalian counterparts.
For structural comparison, researchers should employ:
Multiple sequence alignment to identify conserved domains
Homology modeling based on known crystal structures of human SLC9A3R1
Phylogenetic analysis to determine evolutionary relationships
Functional analyses to compare chicken and mammalian SLC9A3R1 should include:
Examining protein-protein interaction networks through co-immunoprecipitation studies
Testing binding capacity to known mammalian partners such as BECN1
Comparative analysis of post-translational modifications, particularly phosphorylation patterns
Similar to its mammalian counterparts, chicken SLC9A3R1 likely contains conserved PDZ domains that mediate interactions with transmembrane proteins and other signaling molecules. The C-terminal domain, which has been shown to be critical for interactions with proteins like BECN1 in human SLC9A3R1, is likely also conserved in the chicken homolog .
Purification of recombinant chicken SLC9A3R1 typically involves a multi-step process designed to ensure high purity and biological activity. While specific protocols for chicken SLC9A3R1 are not detailed in the search results, the following methodological approach can be adapted from general recombinant protein purification techniques and what is known about SLC9A3R1 properties:
Expression System Selection:
Bacterial systems (E. coli BL21(DE3)) for high yields of unmodified protein
Insect cell systems (Sf9, High Five) for proteins requiring eukaryotic post-translational modifications
Mammalian cell systems (HEK293, CHO) for complex proteins requiring mammalian-specific processing
Protein Tagging Strategies:
N-terminal or C-terminal His6-tag for IMAC purification
GST-fusion for enhanced solubility and affinity purification
MBP-fusion for improved folding and solubility
Purification Protocol:
Cell lysis using sonication or freeze-thaw methods in buffer containing protease inhibitors
Initial capture using affinity chromatography (Ni-NTA for His-tagged proteins)
Intermediate purification via ion exchange chromatography
Polishing step using size exclusion chromatography
Tag removal using site-specific proteases if necessary
Concentration determination using Bradford or BCA assays
Quality Control Steps:
SDS-PAGE analysis for purity assessment
Western blot confirmation of identity
Functional binding assays to confirm activity (e.g., binding to known partners like BECN1)
Mass spectrometry analysis for accurate mass determination and post-translational modifications
For functional studies, it's important to confirm that the recombinant protein maintains its binding capabilities with known interaction partners, such as those identified for human SLC9A3R1 .
SLC9A3R1 regulates autophagy through a complex mechanism involving BECN1 stabilization. According to the research data, SLC9A3R1 stimulates autophagy via multiple interconnected pathways:
Direct binding and stabilization of BECN1:
Inhibition of BECN1-BCL2 interaction:
Regulation through PTEN-PI3K-AKT1 signaling:
Experimental validation approaches should include:
Experimental Approach | Methodology | Expected Outcomes |
---|---|---|
Domain mapping | Co-immunoprecipitation with truncated mutants of SLC9A3R1 and BECN1 | C-terminal domain of SLC9A3R1 and BCL2-binding domain of BECN1 are critical for interaction |
Ubiquitination assays | Ubiquitination assay in cells with overexpressed or silenced SLC9A3R1 | SLC9A3R1 overexpression reduces BECN1 ubiquitination |
Degradation kinetics | Cycloheximide chase assay | SLC9A3R1 extends BECN1 half-life |
Functional autophagy assessment | LC3B-II/LC3B-I ratio quantification, autophagic flux assays | SLC9A3R1 increases autophagic activity |
Mutational analysis | Expression of SLC9A3R1 C-terminal deletion mutant | Failure to stabilize BECN1 or induce autophagy |
The importance of the C-terminal domain of SLC9A3R1 has been demonstrated through experiments showing that deletion of this domain significantly reduces binding to BECN1 and fails to induce autophagy or reduce BECN1 ubiquitination .
Understanding species-specific differences in SLC9A3R1 function requires comparative analysis across different model organisms. While the search results don't provide direct information about chicken SLC9A3R1 specifically, they do offer insights into differences between human and C. elegans systems that can inform cross-species translation:
Evolutionary conservation and divergence:
The NHERF family has multiple members in mammals (NHERF1/SLC9A3R1, NHERF2, etc.), creating potential functional redundancy
C. elegans has a single orthologue, NRFL-1, making it a simpler system for studying core functions
Chicken SLC9A3R1 likely occupies an intermediate evolutionary position, potentially sharing features with both mammalian and invertebrate orthologues
Domain structure and binding preferences:
The PDZ domains show different binding preferences across species
In C. elegans NRFL-1, PDZ II preferentially binds the C-terminus of AAT-6 (amino acid transporter)
Human SLC9A3R1 interacts with BECN1 through its C-terminal domain
Chicken SLC9A3R1 binding preferences would need to be experimentally determined
Post-translational modifications:
To translate findings from model organisms to chicken systems, researchers should consider:
Consideration | Approach | Application to Chicken SLC9A3R1 |
---|---|---|
Sequence homology | Bioinformatic comparison of binding domains | Predict conserved interaction partners |
Interactome conservation | Cross-species pulldown experiments | Identify chicken-specific binding partners |
Functional conservation | Complementation assays in knockout models | Test functional equivalence across species |
Tissue-specific expression | Comparative transcriptomics/proteomics | Map expression patterns in chicken tissues |
Post-translational regulation | Phospho-proteomics | Identify chicken-specific regulatory mechanisms |
Researchers studying chicken SLC9A3R1 should be cautious about directly extrapolating findings from mammalian or invertebrate models without experimental validation, as species-specific differences in binding partners and signaling pathways may exist.
The phosphorylation status of SLC9A3R1 appears to be a critical regulator of its function and protein-protein interactions, though the specific details for chicken SLC9A3R1 are not provided in the search results. Based on evidence from orthologs and related research:
Evidence of phosphorylation:
Functional implications of phosphorylation:
Phosphorylation likely alters the binding affinities of SLC9A3R1 for its protein partners
May regulate scaffold assembly/disassembly dynamics
Could affect subcellular localization and trafficking
Potential phosphorylation sites:
While specific sites aren't mentioned in the search results for chicken SLC9A3R1, phosphorylation typically occurs on serine, threonine, or tyrosine residues
Conserved residues across species are prime candidates for regulatory phosphorylation
To experimentally investigate the effects of phosphorylation on chicken SLC9A3R1:
Experimental Approach | Methodology | Expected Insights |
---|---|---|
Phosphosite mapping | Mass spectrometry analysis of immunoprecipitated SLC9A3R1 | Identification of specific phosphorylated residues |
Phosphomimetic mutants | Generation of S/T→D/E and S/T→A mutants | Functional consequences of constitutive phosphorylation or dephosphorylation |
Kinase/phosphatase screening | In vitro kinase/phosphatase assays with purified enzymes | Identification of regulatory enzymes |
Co-IP under phosphorylation conditions | Immunoprecipitation in the presence/absence of phosphatase inhibitors | Impact on protein-protein interaction profile |
Subcellular fractionation | Analysis of protein distribution under different phosphorylation conditions | Effect on localization and membrane association |
A particularly useful approach would be to compare binding affinities and functional outcomes between wild-type SLC9A3R1 and phosphomimetic/non-phosphorylatable mutants in interaction assays with known partners such as BECN1. This would help determine if phosphorylation serves as a molecular switch regulating SLC9A3R1's scaffold functions in autophagy and other cellular processes .
Selecting the optimal expression system for recombinant chicken SLC9A3R1 requires balancing yield, folding efficiency, post-translational modifications, and functional activity. Based on protein characteristics and experimental requirements:
Bacterial Expression Systems:
E. coli BL21(DE3) or derivatives like Rosetta for codon optimization
Advantages: High yield, simple culture conditions, economical
Considerations: Use lower induction temperatures (16-20°C) to improve folding
Recommended tags: His6-tag for purification, MBP or SUMO tags to enhance solubility
Expression conditions: IPTG concentration 0.1-0.5 mM, induction at OD600 of 0.6-0.8
Insect Cell Expression Systems:
Sf9 or High Five cells with baculovirus vectors
Advantages: Proper folding, some post-translational modifications
Recommended for studies requiring interaction with partners like BECN1
Viral amplification: P1→P2→P3 strategy with titer verification
Expression conditions: MOI 2-5, harvest 48-72 hours post-infection
Mammalian Expression Systems:
HEK293 or CHO cells for highest authenticity
Essential for studies of phosphorylation-dependent functions
Transfection methods: PEI, calcium phosphate, or commercial reagents
Stable cell line generation recommended for consistent yields
Cell-Free Expression Systems:
Wheat germ or rabbit reticulocyte lysate
Advantages: Rapid production, avoid toxicity issues
Suitable for preliminary interaction studies
Optimization parameters for functional activity:
Parameter | Recommendation | Rationale |
---|---|---|
Buffer composition | 50 mM HEPES pH 7.4, 150 mM NaCl, 1 mM DTT | Maintains native structure |
Extraction conditions | Non-ionic detergents (0.1% Triton X-100) | Preserves protein-protein interactions |
Protease inhibitors | Complete cocktail including phosphatase inhibitors | Prevents degradation and preserves phosphorylation |
Purification strategy | Two-step: affinity + size exclusion | Removes aggregates and preserves oligomeric state |
Storage conditions | Flash-freeze in buffer with 10% glycerol | Maintains long-term stability |
Functional validation assays should include verification of binding to known partners such as BECN1, as the interaction between SLC9A3R1 and BECN1 has been well-characterized and is critical for its function in autophagy regulation .
Studying the interactions between SLC9A3R1 and BECN1 and their role in autophagy regulation requires a multifaceted approach combining biochemical, cellular, and imaging techniques. Based on the available research:
Biochemical Interaction Analysis:
Co-immunoprecipitation (Co-IP):
GST Pull-down Assays:
Domain Mapping:
Functional Autophagy Assays:
LC3B-II/LC3B-I Ratio Analysis:
Autophagic Flux Measurement:
Use bafilomycin A1 or chloroquine to block autophagosome-lysosome fusion
Compare LC3B-II levels with/without blockers to assess flux
BECN1 Stability Assays:
Molecular Mechanisms:
Advanced Techniques:
Proximity Ligation Assay (PLA):
Visualize endogenous protein interactions in situ
Quantify interaction events at subcellular resolution
FRET/BRET Assays:
Monitor real-time interactions in living cells
Detect conformational changes upon binding
Bimolecular Fluorescence Complementation (BiFC):
Visualize interaction-dependent fluorescence reconstitution
Map subcellular locations of interactions
These techniques should be applied in appropriate model systems, such as breast cancer cell lines where SLC9A3R1's role in autophagy has been established (e.g., MDA-MB-231 cells) . For chicken-specific studies, primary chicken cells or a related avian cell line would be appropriate.
Resolving conflicting data about SLC9A3R1 function across different tissue types and species requires systematic methodological approaches that account for biological context and experimental variables. Based on the search results and established research practices:
Cross-Species Comparative Analysis:
Ortholog Functional Conservation Testing:
Expression of orthologous proteins in knockout models
Measure complementation efficiency (e.g., rescue of autophagy defects)
Example: Express chicken SLC9A3R1 in human cells with NHERF1 knockdown
Sequence-Function Correlation:
Detailed sequence alignment of orthologs (human, chicken, C. elegans NRFL-1)
Identification of divergent regions that might explain functional differences
Site-directed mutagenesis to convert species-specific residues
Tissue Context Considerations:
Tissue-Specific Interaction Profiling:
Conditional Expression Systems:
Tissue-specific promoters to drive SLC9A3R1 expression
Inducible systems to control expression timing
Compare phenotypic effects across tissues
Reconciling Contradictory Findings:
Methodological Standardization:
Protocol Harmonization:
Standardized protein extraction methods across laboratories
Consistent cell culture conditions and passage numbers
Uniform autophagy measurement protocols
Multi-laboratory Validation:
Replicate key experiments in different laboratories
Use multiple complementary techniques to verify findings
Blind analysis of results to prevent bias
Advanced Systems Biology Approaches:
Network Analysis:
Build tissue-specific and species-specific protein interaction networks
Identify conserved vs. divergent network modules
Use computational models to predict context-dependent functions
Single-Cell Analysis:
Single-cell transcriptomics/proteomics to identify cell-type specific functions
Correlate SLC9A3R1 expression with autophagy markers at single-cell resolution
Account for cellular heterogeneity within tissues
When reconciling contradictory findings, it's important to consider that SLC9A3R1 may have evolved different functions in different species or tissue contexts. For example, while SLC9A3R1 stimulates autophagy through BECN1 stabilization in breast cancer cells , its role in other tissues or in avian systems might involve different mechanisms or binding partners.
Recombinant chicken SLC9A3R1 offers unique opportunities for studying autophagy regulation in avian systems. While the search results don't specifically address chicken SLC9A3R1 applications, we can extrapolate from human studies to develop avian-specific approaches:
Comparative Autophagy Studies:
Baseline Characterization:
Express recombinant chicken SLC9A3R1 in avian cell lines
Measure effects on standard autophagy markers (LC3B-II/LC3B-I ratio, p62 levels)
Compare results with mammalian SLC9A3R1 to identify conserved mechanisms
Cross-Species Complementation:
Express chicken SLC9A3R1 in human cells with SLC9A3R1 knockdown
Assess rescue of autophagy regulation
Identify species-specific functional differences
Molecular Tools Development:
Domain-Specific Antibodies:
Generate antibodies against chicken SLC9A3R1 domains
Use for immunoprecipitation and immunofluorescence studies
Map binding interfaces with chicken autophagy proteins
Fluorescently Tagged Constructs:
Create chicken SLC9A3R1-GFP fusions for live-cell imaging
Generate domain deletion mutants to study localization determinants
Use in FRAP studies to assess dynamic protein interactions
Experimental Applications:
Tissue-Specific Studies:
Primary Cell Analysis:
Isolate primary cells from different chicken tissues
Compare SLC9A3R1 expression levels and autophagy markers
Correlate with tissue-specific functions
Ex Vivo Tissue Models:
Develop organoid cultures from chicken tissues
Manipulate SLC9A3R1 expression to study 3D context effects
Model developmental and disease states
Potential Applications in Avian Disease Models:
Avian Cancer Models:
Metabolic Regulation:
Investigate role in avian metabolic homeostasis
Study interaction with nutrient sensing pathways
Connect to production traits in commercial poultry
The methodological approach would involve initially characterizing whether chicken SLC9A3R1 stabilizes BECN1 and promotes autophagy similar to its human counterpart. If confirmed, researchers could develop more sophisticated tools to study the regulatory network in avian-specific contexts, such as embryonic development, immune response, and pathophysiological conditions unique to birds.
Studying SLC9A3R1-mediated protein stabilization presents several technical challenges that require specialized approaches to overcome. Based on the research findings and methodological considerations:
Distinguishing Direct vs. Indirect Effects:
Challenge: Determining whether SLC9A3R1 directly stabilizes a protein (like BECN1) or acts through intermediate pathways.
Solutions:
Measuring Protein Degradation Dynamics:
Challenge: Accurately quantifying changes in protein half-life and degradation rates.
Solutions:
Cycloheximide chase assays with optimized timepoints
Pulse-chase experiments with metabolic labeling
Global protein stability profiling using tandem fluorescent protein timers
Targeted mass spectrometry to measure absolute protein levels
Analyzing Ubiquitination Patterns:
Challenge: Characterizing complex ubiquitin modifications that signal for degradation.
Solutions:
Ubiquitination assays with linkage-specific antibodies (K48 vs. K63)
Mass spectrometry to map ubiquitination sites
Reconstituted in vitro ubiquitination systems
Use of deubiquitinating enzyme inhibitors to preserve modifications
Technical Considerations and Controls:
Challenge | Methodological Solution | Critical Controls |
---|---|---|
Expression level artifacts | Titrated expression systems | Empty vector, inactive mutants |
Cell-type specific effects | Test multiple cell lines | Include both positive and negative cell types |
Temporal dynamics | Time-course experiments | Multiple timepoints to capture kinetics |
Assay sensitivity | Quantitative western blotting | Standard curves, loading controls |
Advanced Approaches for Mechanistic Insights:
Challenge: Understanding the precise mechanism of SLC9A3R1-mediated stabilization.
Solutions:
Structural studies of SLC9A3R1-target complexes
CRISPR-based screens to identify additional components
Single-molecule imaging to visualize stabilization events
Computational modeling of protein interaction networks
Specific Challenges with BECN1 Stabilization:
Challenge: BECN1 participates in multiple protein complexes affecting its stability and function.
Solutions:
Research has demonstrated that SLC9A3R1 binds to the BCL2-binding domain of BECN1 and blocks ubiquitin-dependent BECN1 degradation . Researchers can leverage this knowledge by specifically focusing on this interface and designing experiments that directly test whether disrupting this interaction prevents the stabilization effect.
A particularly effective approach combines multiple techniques: (1) co-immunoprecipitation to confirm binding, (2) ubiquitination assays to measure modification changes, (3) protein half-life measurements, and (4) functional readouts like autophagy induction. This multi-faceted approach provides stronger evidence for the stabilization mechanism than any single technique alone.
Understanding SLC9A3R1 function offers significant opportunities for developing novel research models to study autophagy in both normal physiology and disease states. Based on the existing knowledge:
Development of Genetic Models:
Conditional Knockouts/Knockins:
CRISPR-Engineered Cell Lines:
Create isogenic cell panels with various SLC9A3R1 mutations
Generate reporter cell lines with fluorescent autophagy markers
Develop cells with endogenously tagged SLC9A3R1 and BECN1
Applications in Cancer Research:
Tumor Microenvironment Models:
Drug Response Prediction:
SLC9A3R1 expression/activity as a biomarker for autophagy-modulating therapies
Combination approaches targeting both SLC9A3R1 and downstream effectors
System-Level Research Applications:
Research Area | Model System | Potential Applications |
---|---|---|
Developmental biology | Embryonic models | Role of SLC9A3R1-mediated autophagy in tissue remodeling |
Neurodegeneration | Neuronal cultures | Protein aggregation clearance mechanisms |
Metabolism | Metabolic stress models | Nutrient sensing and autophagic adaptation |
Infection/Immunity | Pathogen challenge models | Role in antimicrobial autophagy (xenophagy) |
Translational Research Models:
Patient-Derived Systems:
Primary patient samples stratified by SLC9A3R1 expression/mutation status
Correlation with autophagy markers and clinical outcomes
Personalized medicine approaches
High-Throughput Screening Platforms:
Cell-based assays using SLC9A3R1 pathway activity as readout
Screen for compounds that modulate SLC9A3R1-BECN1 interaction
Identify autophagy modulators with therapeutic potential
Integrative Multi-Omics Approaches:
Systems Biology Models:
Integrate transcriptomics, proteomics, and metabolomics data
Map SLC9A3R1-dependent networks across different conditions
Predict context-dependent functions and regulatory mechanisms
Mathematical Modeling:
Develop quantitative models of SLC9A3R1-regulated autophagy
Simulate responses to perturbations
Identify key nodes and potential therapeutic targets
Understanding the molecular mechanisms of how SLC9A3R1 stabilizes BECN1 and promotes autophagy provides a foundation for targeting this pathway in various research contexts. For example, the finding that SLC9A3R1 blocks ubiquitin-dependent BECN1 degradation suggests potential therapeutic approaches aimed at modulating this interaction.
Particularly promising is the development of models that can distinguish between the autophagy-dependent and autophagy-independent functions of SLC9A3R1, which would allow for more precise understanding of its role in disease pathogenesis and potential therapeutic applications.
Research on chicken SLC9A3R1 presents several promising future directions that could significantly advance our understanding of fundamental cellular processes and species-specific adaptations. Based on current knowledge and identified gaps:
Comparative Evolutionary Biology:
Detailed evolutionary analysis of SLC9A3R1 across species with focus on avian-specific adaptations
Functional conservation studies comparing chicken SLC9A3R1 with mammalian and invertebrate homologs
Investigation of how structural differences impact function across species
Systems-Level Understanding:
Comprehensive mapping of the chicken SLC9A3R1 interactome using proteomics approaches
Regulatory network analysis comparing avian and mammalian systems
Integration with tissue-specific transcriptomic and metabolomic data
Novel Therapeutic Applications:
Exploration of SLC9A3R1 as a potential target in avian diseases
Comparative oncology studies examining its role in both human and avian cancers
Development of modulators of SLC9A3R1-mediated autophagy for research applications
Methodological Innovations:
Development of chicken-specific research tools (antibodies, constructs, cell lines)
Advanced imaging techniques to visualize SLC9A3R1-mediated processes in avian cells
CRISPR-based functional genomics in avian systems
The discovery that SLC9A3R1 stabilizes BECN1 by preventing ubiquitin-dependent degradation and subsequently stimulates autophagy opens exciting avenues for investigating conservation of this mechanism in avian systems. This could have implications for understanding species-specific differences in autophagy regulation and its role in developmental processes, immune function, and disease resistance.
The current research highlighting the importance of protein-protein interactions, particularly the role of the C-terminal domain of SLC9A3R1 in binding BECN1 , provides a solid foundation for detailed structural and functional studies of the chicken ortholog. Understanding whether these interaction interfaces are conserved across species could provide valuable insights into fundamental mechanisms of protein stabilization and autophagy regulation.