Recombinant Chicken DnaJ homolog subfamily C member 3 (DNAJC3), also known as p58 or P58IPK, is a member of the heat shock protein family. These proteins are highly conserved and expressed in human and animal cells, protecting them from various types of damage . DNAJC3 acts as a co-chaperone of BiP, an HSP70 molecular chaperone located in the endoplasmic reticulum (ER) . It plays a vital role in ER protein folding and the unfolded protein response (UPR) .
DNAJC3 is essential for protein folding in the endoplasmic reticulum and activates during ER stress as part of the UPR . During ER stress, cells activate UPR to resolve protein-folding defects . DNAJC3 is induced during ER stress and acts as a key component in a negative feedback loop that inhibits eukaryotic initiation factor-2 signaling, attenuates the UPR, and reduces cell apoptosis .
Diabetes Mellitus: Studies show that DNAJC3 variants are involved in the pathogenesis of early-onset autosomal recessive diabetes . Mutations in DNAJC3 can cause juvenile-onset diabetes with other complications such as neurodegeneration, hearing impairment, and ataxia .
Neurodegeneration: Homozygous mutations in DNAJC3 have been associated with neurodegeneration .
Other Diseases: DNAJC3 is also related to osteosarcoma, sensorimotor neuropathy, sensorineural hearing loss, and short body stature .
DNAJC3 mRNA and protein are expressed in pancreatic β-cells . The expression of DNAJC3 is induced during ER stress .
Chicken DNAJC3 is a co-chaperone protein that works with BiP (immunoglobulin heavy-chain binding protein) to facilitate proper protein folding in the endoplasmic reticulum. Structurally, it contains J-domains that regulate BiP's ATPase activity and subsequent substrate binding. The protein is expressed ubiquitously but shows particularly high expression in pancreatic tissue including β-cells and in hepatocytes .
Functionally, DNAJC3 serves as an inhibitor of PKR (protein kinase RNA-activated) and PERK (PKR-like ER kinase), thereby attenuating ER stress responses. This inhibition prevents excessive cell apoptosis under ER stress conditions, which is particularly crucial for pancreatic β-cell survival. Loss of DNAJC3 function leads to activation of cellular apoptosis pathways, resulting in β-cell loss and decreased insulin secretion, as demonstrated in knockout models .
While chicken and mammalian DNAJC3 share conserved functional domains, species-specific differences exist in amino acid sequences and post-translational modifications. These differences may result in subtle functional variations in how the protein responds to ER stress across species. Comparative sequence analysis shows conservation of key functional domains, particularly the J-domain, which is essential for interaction with BiP.
When expressing recombinant chicken DNAJC3 in heterologous systems, researchers should consider these species-specific differences, as they may affect protein folding, activity, and interaction with experimental systems. Sequence alignment studies have shown approximately 85-90% homology between chicken and human DNAJC3 in critical functional domains, suggesting conserved core functions across species while allowing for species-specific adaptations.
For functional studies requiring properly folded and modified DNAJC3, eukaryotic expression systems such as insect cells (Sf9, Sf21) using baculovirus vectors or mammalian cells (HEK293, CHO) are preferred. These systems provide appropriate post-translational modifications and folding environments. The choice of expression system should align with downstream applications:
| Expression System | Advantages | Disadvantages | Recommended Applications |
|---|---|---|---|
| E. coli | High yield, economical, rapid | Limited post-translational modifications | Structural studies, antibody production |
| Insect cells | Better folding, some post-translational modifications | Moderate cost, longer production time | Functional assays, protein-protein interaction studies |
| Mammalian cells | Native-like folding and modifications | Higher cost, lower yield | In vitro activity assays, complex formation studies |
When using bacterial systems, solubility can be improved by expressing DNAJC3 as a fusion protein with tags such as MBP (maltose-binding protein) or using specialized E. coli strains designed for disulfide bond formation.
The interaction between recombinant chicken DNAJC3 and the unfolded protein response (UPR) pathway in avian cells involves complex regulatory mechanisms. DNAJC3 functions as a negative regulator of PERK signaling, a critical branch of the UPR. Under normal conditions, DNAJC3 helps maintain ER homeostasis by preventing hyperactivation of stress responses.
When investigating these interactions experimentally, researchers should consider establishing avian cell models with controlled DNAJC3 expression. Techniques such as RNAi-mediated knockdown or CRISPR-Cas9 genome editing followed by rescue with recombinant DNAJC3 can elucidate specific roles. Key UPR markers to monitor include:
Phosphorylation status of eIF2α
Expression levels of ATF4, CHOP, and XBP1
Calcium signaling dynamics
Activation of pro-apoptotic pathways
Comparative studies between mammalian and avian cells have revealed both conserved and divergent aspects of DNAJC3 function in UPR regulation. The avian-specific aspects of this regulation may provide insights into species-specific adaptations to ER stress, particularly relevant for understanding avian metabolic disorders and immune responses.
Emerging research suggests potential involvement of DNAJC3 in DNA repair mechanisms in chicken primordial germ cells (PGCs). While direct evidence is limited, the observed elevation of base excision repair (BER) pathway genes in chicken PGCs indicates a complex interplay between ER stress responses and DNA repair mechanisms .
When investigating DNAJC3's potential role in these pathways, researchers should consider:
The expression correlation between DNAJC3 and key BER proteins such as uracil N-glycosylase (UNG)
Changes in BER efficiency following DNAJC3 modulation
Potential direct interactions between DNAJC3 and DNA repair complexes
Recent findings indicate that chicken PGCs exhibit distinctly elevated BER pathway gene expression compared to somatic cells like DF-1 fibroblasts, which affects genome editing efficiency . This suggests PGCs have unique DNA repair properties that may involve ER stress response proteins like DNAJC3.
To explore this connection, co-immunoprecipitation assays with recombinant chicken DNAJC3 and key BER proteins, followed by mass spectrometry, could identify novel protein-protein interactions. Additionally, investigating DNAJC3 knockdown effects on DNA repair efficiency in PGCs could provide functional evidence for its role in maintaining genomic integrity.
The relationship between lipid metabolism and DNAJC3 function represents an emerging area of research with significant implications for understanding metabolic disorders. Proteomic studies in human DNAJC3-deficient cells have revealed dysregulation of lipid homeostasis markers, including upregulation of SOAT1 (Sterol O-acyltransferase 1) and PLIN2 (perilipin-2) .
To investigate this relationship in chicken cells, researchers should employ a multi-omics approach:
Lipidomics analysis to profile changes in lipid composition following DNAJC3 modulation
Transcriptomics to identify altered expression of lipid metabolism genes
Metabolic flux analysis using isotope-labeled lipid precursors
Experimental approaches should include:
| Methodology | Measurements | Relevance to DNAJC3 Function |
|---|---|---|
| Confocal microscopy with lipid dyes | Lipid droplet size, number, and distribution | Assesses impact on lipid storage |
| Mitochondrial function assays | Oxygen consumption rate, membrane potential | Evaluates metabolic consequences of DNAJC3 dysfunction |
| ER stress induction | UPR activation markers under lipid perturbation | Tests DNAJC3's protective capacity |
| Cholesterol loading experiments | Response to excess cholesterol | Examines stress adaptation mechanisms |
Recent findings indicate that loss of DNAJC3 affects lipid/cholesterol homeostasis, leading to UPR activation, β-amyloid accumulation, and mitochondrial dysfunction . In chicken cells, investigating whether similar mechanisms operate could reveal conserved pathways of DNAJC3-mediated protection against lipotoxicity.
Purification of recombinant chicken DNAJC3 with optimal activity requires careful consideration of expression systems, buffer conditions, and purification techniques. The following strategy has been optimized based on protein characteristics:
For bacterial expression:
Express DNAJC3 with an N-terminal His-tag in E. coli BL21(DE3) using pET expression systems
Induce expression at low temperature (16-18°C) overnight with 0.1-0.5 mM IPTG to enhance proper folding
Use lysis buffer containing 50 mM Tris-HCl (pH 8.0), 300 mM NaCl, 10% glycerol, 1 mM DTT, and protease inhibitors
Employ a two-step purification process:
Initial Ni-NTA affinity chromatography
Secondary size exclusion chromatography using Superdex 200
Critical factors affecting DNAJC3 activity include:
| Factor | Optimal Condition | Effect on Activity |
|---|---|---|
| pH | 7.5-8.0 | Maintains structural integrity |
| Salt concentration | 150-300 mM NaCl | Prevents aggregation |
| Reducing agents | 1-5 mM DTT or 2-10 mM β-mercaptoethanol | Maintains thiol groups |
| Storage temperature | -80°C with 10-20% glycerol | Preserves long-term activity |
Activity assays should measure DNAJC3's ability to stimulate the ATPase activity of recombinant BiP, which provides a functional readout of co-chaperone activity. Circular dichroism spectroscopy can confirm proper folding, while thermal shift assays help optimize buffer conditions for maximum stability.
Studying the interaction between recombinant chicken DNAJC3 and BiP requires a comprehensive experimental approach that combines biochemical, biophysical, and cellular techniques:
In vitro binding assays:
Surface Plasmon Resonance (SPR) to determine binding kinetics and affinity constants
Isothermal Titration Calorimetry (ITC) to measure thermodynamic parameters
Microscale Thermophoresis (MST) for detecting interactions in solution
Structural studies:
Co-crystallization of DNAJC3-BiP complexes for X-ray crystallography
Hydrogen-deuterium exchange mass spectrometry (HDX-MS) to map interaction interfaces
Cross-linking mass spectrometry to identify proximity of specific residues
Functional assays:
ATPase activity measurements to quantify BiP stimulation by DNAJC3
Protein aggregation assays to assess chaperone activity modulation
FRET-based assays to monitor conformational changes during interaction
When designing mutation studies, focus on conserved residues in the J-domain, particularly the HPD motif that is critical for stimulating BiP's ATPase activity. Consider creating a panel of chicken DNAJC3 variants with point mutations in key domains to map the functional importance of specific regions.
For cellular assays, develop systems that allow visualization of these interactions in living cells using techniques such as:
Split-GFP complementation
Proximity ligation assay (PLA)
Förster resonance energy transfer (FRET) with fluorescently tagged proteins
These approaches provide complementary data on both physical interactions and functional consequences of DNAJC3-BiP binding.
To evaluate the protective effects of recombinant chicken DNAJC3 against ER stress in avian cell models, researchers should implement a multi-faceted experimental approach:
Cell models and stress induction:
Establish avian cell lines with modulated DNAJC3 expression (overexpression, knockdown, knockout)
Use primary chicken pancreatic β-cells when possible for physiological relevance
Induce ER stress using diverse stressors (tunicamycin, thapsigargin, brefeldin A, palmitate) to activate different UPR branches
ER stress markers to monitor:
| Marker | Method | Significance |
|---|---|---|
| Phosphorylated PERK and eIF2α | Western blot | Early UPR activation |
| XBP1 splicing | RT-PCR | IRE1 pathway activation |
| ATF6 cleavage | Western blot | ATF6 pathway activation |
| CHOP expression | qPCR, Western blot | Pro-apoptotic signaling |
| BiP/GRP78 levels | qPCR, Western blot | ER chaperone induction |
Functional outcomes assessment:
Cell viability assays (MTT, XTT, ATP content)
Apoptosis measurements (Annexin V/PI staining, caspase activity)
ER morphology visualization (transmission electron microscopy)
Calcium homeostasis (fluorescent calcium indicators)
Protein synthesis rates (puromycin incorporation)
Time-course experiments:
Design experiments to capture both acute (0-24h) and chronic (24-72h) effects of DNAJC3 protection, as different mechanisms may predominate at different time points.
Recovery experiments:
Assess the capacity of cells to recover from ER stress upon removal of stressors, comparing recovery kinetics between cells with normal versus altered DNAJC3 expression.
When delivering recombinant DNAJC3 to cells, consider protein transduction methods using cell-penetrating peptides or nanoparticle-based delivery systems to achieve physiologically relevant intracellular concentrations.
Analyzing proteomics data to identify pathways affected by DNAJC3 deficiency requires a structured analytical approach:
Initial data processing:
Apply appropriate normalization methods (e.g., total ion current, LOESS)
Implement robust statistical tests for differential expression analysis (ANOVA with multiple testing correction)
Filter proteins based on fold change (typically ≥1.5-fold) and significance (p<0.05)
Pathway analysis workflow:
Perform Gene Ontology (GO) enrichment analysis for biological processes, molecular functions, and cellular components
Conduct KEGG, Reactome, and DAVID pathway mapping to identify enriched functional categories
Apply network analysis using STRING, Cytoscape, or IPA to visualize protein-protein interactions
Key pathways to focus on:
Based on human DNAJC3 deficiency studies, pay particular attention to:
A recent proteomics study of human DNAJC3-deficient fibroblasts identified 24 significantly altered proteins (12 upregulated, 12 downregulated), with notable changes in proteins involved in lipid metabolism (SOAT1, PLIN2), mitochondrial function (SDHB, APOOL, ACADSB), and vesicular transport (GGA1, CHMP6) . For chicken models, similar pathway alterations may be expected, potentially with avian-specific variations.
| Altered Pathway | Key Protein Markers | Significance |
|---|---|---|
| Lipid metabolism | SOAT1↑, PLIN2↑, PLPP1↓ | Disrupted lipid homeostasis |
| Mitochondrial function | SDHB↓, APOOL↓, ACADSB↓ | Impaired energy production |
| Vesicular transport | GGA1↓, CHMP6↓ | Altered protein trafficking |
| Protein synthesis | AARS↑, SF3B4↑ | Compensatory mechanisms |
Integrating proteomic findings with transcriptomics and metabolomics data using multi-omics approaches can provide a more comprehensive view of the biological impact of DNAJC3 deficiency.
When analyzing the efficacy of recombinant DNAJC3 in protection against ER stress-induced apoptosis, researchers should employ robust statistical approaches tailored to the experimental design:
Experimental design considerations:
Include appropriate sample sizes (power analysis recommended)
Implement technical and biological replicates
Use factorial designs to test multiple conditions (DNAJC3 concentrations × stress durations × stress types)
Statistical methods by data type:
| Data Type | Recommended Statistical Approaches | Considerations |
|---|---|---|
| Cell viability (continuous) | ANOVA with post-hoc tests (Tukey, Bonferroni), dose-response modeling | Test for normality, consider transformations if needed |
| Apoptosis markers (continuous) | ANOVA, regression analysis, survival analysis methods | Account for time-dependent changes |
| Western blot quantification | Non-parametric tests (Kruskal-Wallis, Mann-Whitney) | Address semi-quantitative nature of data |
| qPCR data | ΔΔCT method with t-tests or ANOVA | Ensure proper reference gene selection |
| Microscopy quantification | Mixed-effects models for nested designs | Account for field-to-field variability |
To effectively compare functional differences between wild-type and mutant forms of chicken DNAJC3, researchers should implement a comprehensive analytical framework that combines in vitro, cellular, and computational approaches:
Structural and biophysical comparison:
Circular dichroism (CD) spectroscopy to assess secondary structure differences
Thermal shift assays to determine protein stability
Size exclusion chromatography with multi-angle light scattering (SEC-MALS) to evaluate oligomerization state
Hydrogen-deuterium exchange mass spectrometry to map conformational differences
Functional assays:
BiP ATPase stimulation activity using colorimetric phosphate release assays
Protein aggregation prevention assays using model substrates
Client protein binding affinity measurements
Co-immunoprecipitation efficiency with interaction partners
Cellular assays:
Complementation studies in DNAJC3-knockout cells
ER stress resistance measurement after reconstitution
Subcellular localization analysis using confocal microscopy
Protein half-life determination using cycloheximide chase assays
Data integration and visualization:
Create comprehensive comparison tables with quantitative metrics:
| Functional Parameter | Wild-type DNAJC3 | Mutant DNAJC3 | Statistical Significance | Biological Significance |
|---|---|---|---|---|
| Thermal stability (Tm) | e.g., 58.2°C | e.g., 52.7°C | p<0.01 | Reduced stability may affect cellular persistence |
| BiP ATPase stimulation | e.g., 3.5-fold | e.g., 1.2-fold | p<0.001 | Significant impairment of co-chaperone function |
| Cell survival under ER stress | e.g., 85% | e.g., 42% | p<0.001 | Major loss of cytoprotective function |
| Binding affinity for BiP (Kd) | e.g., 1.2 μM | e.g., 15.6 μM | p<0.01 | Substantially impaired molecular interaction |
Structure-function correlations:
Map mutational effects to specific domains and motifs
Use molecular dynamics simulations to predict functional consequences
Develop predictive models correlating structural changes with functional outcomes
For comprehensive assessment, design mutations targeting different functional domains (J-domain, substrate binding region, BiP interaction sites) to create a detailed map of structure-function relationships in chicken DNAJC3.
Expressing and purifying recombinant chicken DNAJC3 presents several technical challenges that researchers commonly encounter. This systematic troubleshooting guide addresses key issues and their solutions:
Low expression yields in bacterial systems:
| Challenge | Possible Causes | Solutions |
|---|---|---|
| Protein toxicity | DNAJC3 interfering with host cell functions | Use tight expression control (pET systems with T7 lysozyme), lower temperature (16°C) |
| Codon bias | Avian-specific codons rare in E. coli | Use codon-optimized synthetic gene, or specialized strains (Rosetta, CodonPlus) |
| Inclusion body formation | Rapid overexpression, improper folding | Reduce induction temperature to 16-18°C, use solubility tags (MBP, SUMO), add 0.5-1% Triton X-100 to lysis buffer |
Protein instability during purification:
Include protease inhibitors (PMSF, EDTA-free cocktail) in all buffers
Add reducing agents (5mM DTT or 10mM β-mercaptoethanol) to prevent oxidation
Maintain constant cold temperature (4°C) throughout purification
Consider adding 10% glycerol to all buffers to enhance stability
Limited purity after initial chromatography:
Implement a multi-step purification strategy:
a. IMAC (Ni-NTA) for initial capture
b. Ion exchange chromatography as intermediate step
c. Size exclusion chromatography as polishing step
Optimize imidazole concentration gradients (typically 20-500mM) to reduce non-specific binding
Loss of functional activity:
Validate protein folding by circular dichroism spectroscopy
Test buffer conditions with thermal shift assays to identify stabilizing additives
Consider protein engineering approaches to enhance stability
Avoid freeze-thaw cycles; store purified protein as single-use aliquots
Heterogeneity in post-translational modifications:
For applications requiring homogeneous protein, express in bacterial systems and focus on core functional domains
For studies of native-like modifications, use avian cell lines despite potentially lower yields
When expressing difficult constructs, consider split domain approaches, where individual domains are expressed and purified separately, then used for domain-specific functional studies.
Addressing conflicting results between in vitro and cellular studies of recombinant DNAJC3 requires systematic investigation of potential sources of discrepancy:
Systematic analysis framework:
Document all differences between experimental systems (protein concentration, buffer components, cell types, assay conditions)
Implement bridging experiments that gradually transition from in vitro to cellular conditions
Validate findings using complementary methodologies
Common sources of discrepancy and solutions:
| Source of Conflict | Investigation Approach | Potential Resolution |
|---|---|---|
| Post-translational modifications | Compare MS/MS profiles of recombinant vs. endogenous protein | Use eukaryotic expression systems or introduce specific modifications |
| Protein concentration differences | Titrate protein concentrations in vitro to match cellular levels | Determine physiological concentration range through quantitative proteomics |
| Missing cofactors or binding partners | Add cellular extracts to in vitro assays | Identify and include essential cofactors |
| Subcellular localization issues | Track recombinant protein localization in cells | Add appropriate targeting signals if needed |
| Experimental timescales | Conduct time-course experiments | Align observation windows between systems |
Technical approaches to resolve conflicts:
Use semi-permeabilized cell systems as intermediate between purified and cellular contexts
Employ microinjection of recombinant proteins to bypass delivery barriers
Develop reconstituted membrane systems that better mimic the ER environment
Create DNAJC3-knockout cellular backgrounds for cleaner complementation studies
Data interpretation strategies:
Consider that both in vitro and cellular observations may be correct within their contexts
Develop integrated models that reconcile apparent contradictions
Identify condition-dependent factors that switch DNAJC3 between different functional modes
Case study example:
A common discrepancy is the protective effect of DNAJC3 against ER stress. In vitro assays may show direct inhibition of PERK phosphorylation, while cellular studies might show complex time-dependent effects due to feedback loops. Resolving this requires time-resolved studies in both systems and consideration of network effects present only in cellular contexts.
Remember that discrepancies often reveal important biological insights about context-dependent regulation and function that neither system alone could identify.
Ensuring reproducibility in comparative studies of wild-type and mutant chicken DNAJC3 proteins requires rigorous attention to experimental design, execution, and reporting:
Protein preparation standardization:
Use identical expression systems, purification protocols, and buffer conditions
Characterize all protein preparations using multiple quality control methods:
SDS-PAGE for purity assessment
Western blot for identity confirmation
Dynamic light scattering for aggregation analysis
Circular dichroism for secondary structure verification
Prepare large, homogeneous batches and store as single-use aliquots
Experimental design considerations:
Implement randomization and blinding where possible
Include technical replicates (same protein preparation) and biological replicates (independent preparations)
Determine appropriate sample sizes through power analysis
Use factorial designs to test interactions between variables
Controls and validation:
Include positive and negative controls in all experiments
Verify functionality using multiple orthogonal assays
Validate key findings using different experimental approaches
For cellular studies, use multiple cell lines or primary cells
Comprehensive documentation:
Create detailed protocols capturing:
Exact buffer compositions (including lot numbers of key components)
Incubation times and temperatures
Instrument settings and calibration status
Raw data processing methods with version-controlled scripts
Reporting standards:
Follow best practices for reporting:
Provide complete methods enabling reproduction
Share raw data in public repositories
Report all statistical analyses comprehensively
Disclose any experimental attempts that failed
Reproducibility checklist:
| Reproducibility Element | Implementation Strategy |
|---|---|
| Protein characterization | Multi-method QC panel with defined acceptance criteria |
| Batch effects mitigation | Testing wild-type and mutants side-by-side, including inter-batch controls |
| Statistical robustness | Using appropriate statistical tests with clearly stated assumptions |
| Data transparency | Providing raw data, analysis scripts, and detailed protocols |
| Independent validation | Collaborating with separate lab to confirm key findings |
Specific recommendations for DNAJC3 studies:
Include stability assessments before each experiment, as DNAJC3 may be prone to time-dependent activity loss
Test for concentration-dependent effects, as DNAJC3 function may vary with concentration
Account for potential oxidation sensitivity by measuring and reporting redox conditions
By implementing these strategies, researchers can enhance the reliability and reproducibility of their comparative DNAJC3 studies, contributing to a more robust scientific understanding of this important protein's function.