Dnajc4 (UniProt ID: Q9D844) belongs to the Hsp40 protein family, which assists Hsp70 chaperones in ATP-dependent substrate binding and folding. Recombinant Dnajc4 is engineered with an N-terminal His tag for purification and detection. Key production details include:
| Characteristic | Specification |
|---|---|
| Expression Host | E. coli |
| Tag | N-terminal His tag |
| Protein Length | Full-length (1–244 amino acids) |
| Purity | >90% (SDS-PAGE validated) |
| Storage Buffer | Tris/PBS-based buffer with 6% trehalose, pH 8.0 |
| Storage Conditions | -20°C/-80°C (avoid freeze-thaw cycles) |
The protein is lyophilized and reconstituted in sterile water to concentrations of 0.1–1.0 mg/mL, often with 50% glycerol for stability .
Roles in Cellular Processes
Dnajc4 is implicated in:
Protein Quality Control: Assists Hsp70 in folding nascent or misfolded proteins in mitochondria .
Stress Response: Upregulated under oxidative, thermal, or chemical stress .
Disease Association: Linked to intellectual disability, leukocyte adhesion defects, and multiple endocrine neoplasia type 1 (MEN1) .
Dnajc4 expression is modulated by environmental toxins and endocrine disruptors:
Protein Partners
Dnajc4 interacts with:
Pathways
While specific pathways are not fully mapped in the provided sources, Dnajc4 is inferred to participate in:
Proteostasis Network: Coordinates with Hsp70 and Hsp90 to maintain protein homeostasis.
Stress Response Signaling: Modulates cellular adaptation to environmental insults .
Dnajc4, also known as DnaJ heat shock protein family (Hsp40) member C4, belongs to the highly conserved DNAJ/HSP40 family of molecular chaperones. This protein contains the characteristic J-domain that regulates the function of HSP70 chaperones . Like other DNAJ family members, Dnajc4 likely participates in protein folding, transport, and degradation pathways.
The protein is encoded by the Dnajc4 gene located on chromosome 11 in both humans and mice . Several synonyms exist for this protein, including HSPF2, MCG18, DANJC4, and multiple MGC designations (MGC19482, MGC57189, MGC71863) . The protein functions primarily as a co-chaperone that stimulates the ATPase activity of HSP70s, facilitating proper protein folding and cellular stress responses.
Dnajc4 expression appears to be differentially regulated across tissues and in response to various environmental stimuli and chemical compounds. According to gene-chemical interaction data, several compounds affect Dnajc4 expression:
| Compound | Effect on Expression | Evidence Type | Reference |
|---|---|---|---|
| 1,2-dimethylhydrazine | Decreases | ISO | PMID:22206623 |
| 17beta-estradiol | Decreases | ISO | PMID:39298647 |
| 2,3,7,8-tetrachlorodibenzodioxine | Increases | EXP | PMID:33387578 |
| 6-propyl-2-thiouracil | Decreases | EXP | PMID:30047161 |
| all-trans-retinoic acid | Increases | - | - |
Additionally, tissue-specific expression patterns have been documented, though complete expression profiles across all tissues are still being investigated .
While the search results don't provide a comprehensive list of Dnajc4-specific interaction partners, as a DNAJ family member, it likely interacts with HSP70 chaperones as its primary functional partners.
For researchers interested in identifying Dnajc4 interaction partners, techniques such as co-immunoprecipitation, yeast two-hybrid screening, and proximity-dependent biotin identification (BioID) would be appropriate methodological approaches. The cellular context should be carefully considered when designing such experiments, as interaction partners may vary by cell type and physiological condition.
Based on available data, recombinant mouse Dnajc4 can be produced in several expression systems:
| Expression System | Advantages | Considerations |
|---|---|---|
| E. coli | High yield, cost-effective | May lack post-translational modifications |
| Mammalian cells (HEK293) | Proper folding, post-translational modifications | Lower yield, higher cost |
| In vitro cell-free system | Rapid production, avoids toxicity issues | Potentially lower yield |
| Wheat germ | Alternative for proteins toxic to other systems | Specialized equipment required |
For purification, His-tag, GST-tag, Avi-tag, and Fc-tag fusion strategies have been documented . A typical purification protocol would involve:
Expression in the chosen system (E. coli BL21(DE3) is commonly used)
Cell lysis under native conditions
Affinity chromatography (Ni-NTA for His-tagged protein)
Buffer exchange and concentration
Quality control by SDS-PAGE and Western blotting
When designing expression constructs, researchers should consider that the J-domain functionality is critical, so ensuring this domain remains properly folded is essential for functional studies.
Several methods are available for detecting Dnajc4 in mouse samples:
ELISA: Commercial mouse Dnajc4 ELISA kits are available with detection ranges of approximately 0.156-10 ng/ml. These sandwich enzyme-linked immunosorbent assays utilize specific antibodies and HRP-conjugated detection systems with TMB substrate .
Western blotting: Using specific antibodies against Dnajc4, though researchers should validate antibody specificity.
Immunofluorescence/Immunocytochemistry: Fluorescently-labeled antibodies can detect cellular localization of Dnajc4. While specific protocols for Dnajc4 are not provided in the search results, protocols similar to those used for other DNAJ family members like DNAJA1 could be adapted .
RT-qPCR: For mRNA expression analysis, though this measures transcript rather than protein levels.
When designing detection experiments, appropriate controls should include:
Positive control (recombinant Dnajc4 protein)
Negative control (samples from knockdown/knockout models)
Loading controls for Western blots (β-actin, GAPDH)
Isotype controls for immunofluorescence
When designing Dnajc4 genetic manipulation studies, researchers should consider:
Complete knockout vs. conditional knockout: Given the potential importance of Dnajc4 in cellular function, conditional knockouts may be preferable to avoid developmental lethality.
Compensation by other DNAJ family members: Due to functional redundancy within the DNAJ family, researchers should monitor expression changes in related family members (particularly other DNAJC subfamily proteins).
Tissue specificity: Consider using tissue-specific promoters for Cre-loxP systems if investigating tissue-specific functions.
Knockdown alternatives: siRNA or shRNA approaches may be preferable for initial studies before committing to knockout models.
Validation strategies: Multiple validation methods should be employed:
Genomic PCR to confirm genetic modification
RT-qPCR to verify reduced mRNA expression
Western blotting to confirm protein reduction
Functional assays to assess physiological impact
Phenotypic analysis: Comprehensive phenotyping should include assessment of stress responses, protein folding capacity, and tissue-specific functional tests.
While the search results don't specifically highlight Dnajc4's role in neurodegeneration, DNAJ family proteins have been implicated in various neurodegenerative disorders . To study Dnajc4's potential role:
Expression analysis: Compare Dnajc4 expression in healthy vs. neurodegenerative disease models or patient samples.
Protein aggregation studies: Examine whether Dnajc4 co-localizes with protein aggregates (e.g., amyloid-β, tau, α-synuclein) in disease models.
Chaperone activity assays: Assess whether Dnajc4 can modulate the aggregation of disease-related proteins in vitro.
Genetic interaction studies: Investigate whether Dnajc4 overexpression or knockdown modifies the phenotype in neurodegenerative disease models.
Stress response evaluation: Examine how Dnajc4 expression changes under stresses relevant to neurodegeneration (oxidative stress, ER stress, etc.).
A methodological approach would involve combining cellular models (primary neurons, neuronal cell lines) with animal models (transgenic mice) and potentially human patient samples for translational relevance.
According to correlation data, Dnajc4 expression shows both positive and negative correlations with various genes :
| Gene | Correlation coefficient (r) |
|---|---|
| ier2b | 0.054 |
| eef1da | 0.052 |
| cd9b | 0.049 |
| epcam | 0.049 |
| capns1a | 0.047 |
| Gene | Correlation coefficient (r) |
|---|---|
| marcksb | -0.028 |
| nucks1a | -0.024 |
| si:ch211-288g17.3 | -0.024 |
| top1l | -0.024 |
| seta | -0.023 |
These correlations suggest potential functional relationships with genes involved in:
Cellular stress response (ier2b)
Protein synthesis (eef1da)
Cell adhesion and membrane organization (cd9b, epcam)
Calcium-dependent proteolysis (capns1a)
The negative correlations with genes involved in DNA metabolism and cell cycle regulation (top1l, nucks1a) may indicate inverse relationships with these processes.
To further explore these connections, researchers could conduct pathway enrichment analysis, protein-protein interaction network analysis, and functional validation experiments.
Some heat shock proteins have shown potential as therapeutic targets or immunization candidates. For example, DnaJ (Hsp40) has demonstrated immunogenicity and protective efficacy against Streptococcus pneumoniae infection in mouse models .
To evaluate Dnajc4's potential:
Immunogenicity assessment: Determine if recombinant Dnajc4 elicits immune responses, including:
Antibody production (titer and isotype analysis)
T-cell responses (proliferation assays, cytokine production)
Protective efficacy studies: Challenge immunized animals with relevant disease models to assess protection.
Mechanism exploration: Investigate whether protection is mediated by:
Antibody-dependent mechanisms
Cell-mediated immunity
Molecular mimicry or cross-reactivity
Safety evaluation: Assess potential autoimmune responses due to homology with host proteins.
For therapeutic targeting approaches, researchers could explore:
Small molecule modulators of Dnajc4 activity
Peptide inhibitors of specific Dnajc4 interactions
Gene therapy approaches to modulate Dnajc4 expression
Chaperone proteins like Dnajc4 can present solubility challenges during recombinant expression. To address these issues:
Optimization of expression conditions:
Lower induction temperature (16-20°C)
Reduced IPTG concentration for induction
Shorter induction time
Co-expression with chaperones
Buffer optimization:
Include stabilizing agents (glycerol, arginine, trehalose)
Test different pH conditions
Evaluate various salt concentrations
Consider mild detergents for membrane-associated forms
Protein engineering approaches:
Express functional domains separately
Use solubility-enhancing fusion partners (SUMO, MBP, TRX)
Consider surface residue mutations to enhance solubility
Refolding strategies (if inclusion bodies form):
Gradual dialysis methods
On-column refolding
Pulse refolding techniques
Each approach requires systematic optimization for the specific construct being used.
When facing contradictory Dnajc4 expression data across different studies or conditions:
Evaluate methodological differences:
Detection method sensitivity and specificity
Sample preparation variations
Antibody clone differences for protein detection
Primer design differences for mRNA detection
Consider biological variables:
Tissue/cell type differences
Age and sex of experimental animals
Genetic background variations
Environmental conditions and stressors
Temporal dynamics:
Acute vs. chronic exposure to stimuli
Time points of analysis
Circadian influences
Validation approach:
Use multiple detection methods in parallel
Include appropriate positive and negative controls
Perform dose-response or time-course studies
Consider single-cell analyses to detect heterogeneity
For example, the contradictory effects of tetrachlorodibenzodioxine on Dnajc4 expression reported in different studies may be explained by differences in exposure duration, concentration, or the specific model system used.
To robustly assess Dnajc4 function in stress response:
Positive controls:
Known stress inducers (heat shock, oxidative stress inducers, ER stress agents)
Well-characterized heat shock proteins (HSP70, HSP90)
Validated stress response markers (phospho-eIF2α, ATF4, XBP1 splicing)
Negative controls:
Untreated/unstressed cells
Non-functional Dnajc4 mutants (J-domain mutations)
Unrelated proteins of similar size/structure
Experimental validation controls:
Multiple stress intensities and durations
Recovery time course after stress
Multiple cell types or tissues
Complementary in vitro and in vivo approaches
Technical controls:
Dose-dependent effects of Dnajc4 modulation
Multiple independent clones/lines
Multiple siRNAs targeting different regions of Dnajc4 mRNA
Rescue experiments with wild-type Dnajc4
To conclusively link Dnajc4 to specific stress responses, combination approaches using gain-of-function and loss-of-function models are recommended.
Several cutting-edge technologies could significantly enhance Dnajc4 research:
CRISPR-Cas9 genome editing:
Generation of precise Dnajc4 variants with modified domains
Endogenous tagging for visualizing native protein
CRISPRa/CRISPRi for temporal control of expression
Cryo-electron microscopy:
Structural determination of Dnajc4 alone and in complexes
Visualization of dynamic conformational changes during chaperone cycles
Proximity labeling proteomics (BioID, APEX):
Comprehensive identification of Dnajc4 interactors in different cellular compartments
Temporal mapping of interaction networks during stress responses
Single-cell technologies:
scRNA-seq to identify cell populations dependent on Dnajc4
Spatial transcriptomics to map Dnajc4 expression in complex tissues
Protein folding sensors and reporters:
Real-time monitoring of Dnajc4 chaperone activity
Client protein folding status visualization
These approaches could help resolve currently unanswered questions about Dnajc4's specific clients, spatial and temporal activity patterns, and functional redundancy with other DnaJ proteins.
Dnajc4 research could provide insights into several important cellular processes:
Inflammation regulation:
Protein quality control systems:
As part of the DNAJ/HSP70 chaperone network, Dnajc4 likely contributes to proteostasis
Understanding its specific clients could reveal vulnerable proteins in disease states
Cellular stress responses:
Mapping Dnajc4's role in responding to various stressors could identify critical cell survival pathways
Integration with other stress response systems (unfolded protein response, integrated stress response)
Disease mechanisms:
Methodologically, integrative approaches combining proteomics, transcriptomics, and functional assays across relevant disease models would be most informative.
To bridge basic Dnajc4 research with potential clinical applications:
Patient-derived models:
iPSC-derived cell types from relevant disease patients
Organoids modeling disease-affected tissues
Humanized mouse models
High-throughput screening:
Small molecule screens for Dnajc4 activity modulators
CRISPR screens to identify synthetic lethal interactions
Phenotypic screens in disease models
Biomarker development:
Evaluate Dnajc4 expression or PTMs as disease biomarkers
Develop assays to measure Dnajc4 activity in patient samples
Identify client protein folding status as surrogate markers
Therapeutic proof-of-concept studies:
Gene therapy approaches to modulate Dnajc4 expression
Protein replacement or supplementation strategies
Peptide-based approaches targeting specific interactions
Translational validation:
Multi-species validation of findings (mouse, rat, non-human primates)
Ex vivo testing in patient-derived samples
Retrospective analysis using biobanked specimens
These approaches should prioritize disease contexts where chaperone dysfunction has been implicated, such as neurodegenerative disorders, inflammatory conditions, and certain cancers.