DnaJ is a 376-amino acid protein in Escherichia coli functioning as an Hsp40 co-chaperone that assists Hsp70 (DnaK) in substrate binding and ATPase activity. DnaJ antibodies are designed to recognize conserved or variable epitopes on this protein, enabling research into bacterial pathogenesis, host immune responses, and cross-reactivity with human homologs.
Elevated anti-DnaJ antibody levels are observed in RA patients, correlating with disease activity and synovial inflammation.
Disease | Antibody Response | Source |
---|---|---|
Rheumatoid Arthritis | 3-fold higher anti-DnaJ titers vs. controls | |
Juvenile RA | Strong lymphocyte proliferation to DnaJ |
These findings suggest that bacterial DnaJ may trigger autoimmune responses targeting human Hsp40s, contributing to RA pathogenesis .
DnaJ antibodies aid in studying chaperone-mediated protein folding. For example:
Mitochondrial Import: DnaJ facilitates preornithine transcarbamylase import into mitochondria, a process shared with mammalian Hsp40s (e.g., dj2) .
Therapeutic Potential: Artificial DnaJ fusion proteins enhance recombinant protein secretion and folding, offering tools for treating conformational diseases like cystic fibrosis .
Anti-DnaJ antibodies serve as biomarkers for bacterial infections and autoimmune conditions. For example:
RA Diagnosis: Elevated anti-DnaJ and anti-DNAJA1/DNAJA2 antibodies correlate with disease severity .
Infection Surveillance: Detects immune responses to Pseudomonas aeruginosa DnaJ, linked to IL-1β production in inflammatory pathways .
DnaJ (also known as Hsp40) is a heat shock protein that functions as a molecular chaperone, playing crucial roles in protein folding, translocation, and degradation. The significance of DnaJ extends beyond its chaperone functions, as it has been implicated in various disease processes including autoimmune conditions. Escherichia coli DnaJ has been specifically suspected to participate in rheumatoid arthritis (RA) pathogenesis through autoimmune processes . The human homolog, HDJ-1 (DNAJB1), shares significant structural and functional similarities with bacterial DnaJ, making it an important research target. Understanding DnaJ's structure-function relationships and its interactions with other cellular components provides valuable insights into fundamental cellular processes and potential therapeutic targets.
Bacterial DnaJ and human DNAJB1 (Hsp40) share significant structural similarities, particularly in evolutionarily conserved domains. Research has identified several key structural components:
N-terminal J domain: This is the most highly conserved region between bacterial and human proteins, containing the signature HPD (histidine-proline-aspartic acid) triad at residues 33-48 that is present in all DnaJ homologues .
Central domains: Both proteins contain specialized regions for substrate binding.
C-terminal region: The C-terminal portions after residue 200 contain multiple epitope regions recognized by various antibodies .
Experimental evidence using monoclonal antibodies has demonstrated "significant immunological similarity between bacterial DnaJ and human HDJ-1, which is not restricted to the evolutionarily conserved parts of the proteins" . This suggests that despite evolutionary divergence, these proteins maintain important structural features that may be relevant to their functional conservation.
The most effective detection methods for DnaJ/Hsp40 research depend on the specific experimental questions and sample types. Based on current research methodologies:
Western Blotting: Provides excellent specificity for protein detection. Using optimized antibodies such as Human/Mouse HSP40/DNAJB1 Antibody (AF4145) at concentrations of approximately 1 μg/mL can detect specific bands at approximately 40 kDa in various cell types including Jurkat human acute T cell leukemia cell line and C2C12 mouse myoblast cell line . Western blotting is particularly powerful when combined with knockout controls to validate antibody specificity.
ELISA (Enzyme-Linked Immunosorbent Assay): Allows for quantitative analysis of DnaJ. Research shows that native protein conformation significantly improves detection sensitivity compared to denatured forms. When testing sensitivity, serial dilutions of DnaJ or HDJ-1 proteins (25–0.012 μg/mL) should be used .
Immunocytochemistry/Immunohistochemistry: Useful for spatial localization studies, though specific optimization parameters were not detailed in the provided search results.
Importantly, research has shown that many anti-DnaJ monoclonal antibodies recognize conformational epitopes more effectively than linear ones, suggesting that maintaining protein structure during experimental procedures may be critical for optimal detection .
Epitope mapping is a powerful technique for characterizing the specific binding regions of DnaJ antibodies, essential for understanding their functionality and potential cross-reactivity. Based on research methodologies, a comprehensive approach to epitope mapping includes:
Domain-Specific Deletion Mutants: Using truncated DnaJ proteins to identify which domains contain the epitopes. Research has successfully employed this approach to determine that the AC11 monoclonal antibody targets the J domain, while BB3, EE11, CC5, CC8, and DC7 bind to the C-terminal domain after amino acid 200 .
Random Peptide Library Screening: More precise mapping can be achieved using filamentous phage libraries displaying random peptides. This technique has successfully identified specific binding regions:
AC11 mAb: residues 33-48, which includes D-34 of the critical HPD triad
BB3 mAb: residues 204-224
EE11 mAb: residues 291-309
CC5 mAb: residues 326-359
Competition Assays: These can determine whether different antibodies recognize overlapping epitopes. Research has successfully used ELISAs where anti-DnaJ mAbs compete with each other in binding to confirm epitope locations .
For conformational epitopes, it's essential to maintain protein structure during analysis. Experimental data has shown that many anti-DnaJ mAbs bind much more efficiently to native than denatured DnaJ, indicating the recognition of non-linear epitopes that depend on protein folding .
The cross-reactivity between bacterial DnaJ and human HDJ-1 antibodies has profound implications for both basic molecular research and understanding autoimmune disease mechanisms.
Research has demonstrated that monoclonal antibodies raised against bacterial E. coli DnaJ efficiently recognize human HDJ-1 protein. This cross-reactivity is particularly significant because it is "not restricted to the evolutionarily conserved parts of the proteins" . This finding challenges the assumption that antibody cross-reactivity would be limited to the highly conserved J domain.
From an immunopathological perspective, this extensive cross-reactivity suggests that "HDJ-1 could be a possible target of immune response triggered by DnaJ" . This mechanism provides a potential molecular explanation for how bacterial infections might trigger autoimmune responses against human proteins in conditions like rheumatoid arthritis. The bacterial DnaJ could potentially stimulate the production of antibodies that subsequently cross-react with human HDJ-1, initiating or perpetuating autoimmune pathology.
For researchers, this cross-reactivity has methodological implications:
Antibodies raised against bacterial DnaJ may serve as useful tools for studying human HDJ-1.
When interpreting results from immunological studies, potential cross-reactivity must be considered as a confounding factor.
This model provides an experimental framework for investigating molecular mimicry in autoimmune diseases.
Knockout cell lines represent a gold standard approach for validating antibody specificity in DnaJ research. The methodology involves comparing antibody reactivity between wild-type cells expressing the target protein and genetically modified cells where the target gene has been deleted or disrupted.
A methodological example from recent research demonstrates this approach:
Cell Line Preparation: Establish both parental (wild-type) and knockout cell lines. In the cited research, HEK293T human embryonic kidney parental cell line and HSP40/DNAJB1 knockout HEK293T cell line were used .
Experimental Conditions:
Prepare lysates from both parental and knockout cell lines under identical conditions
Run samples on SDS-PAGE and transfer to PVDF membrane
Probe with the antibody being validated (e.g., 1 μg/mL of Sheep Anti-Human/Mouse HSP40/DNAJB1 Antibody)
Use appropriate secondary antibody (e.g., HRP-conjugated Anti-Sheep IgG Secondary Antibody)
Include loading controls (e.g., GAPDH) to ensure equal protein loading
Result Interpretation: A specific antibody should show:
This methodology provides conclusive evidence of antibody specificity, as demonstrated in the referenced Western blot experiments where "a specific band was detected for HSP40/DNAJB1 at approximately 40 kDa in the parental HEK293T cell line, but is not detectable in knockout HEK293T cell line" .
Western blot detection of DnaJ/Hsp40 requires specific optimization to ensure reliable and reproducible results. Based on validated research protocols:
Cell lysis should be performed using appropriate buffer systems that maintain protein integrity
For detection of human HSP40/DNAJB1, Jurkat human acute T cell leukemia or HEK293T cell lysates have been successfully used
For mouse HSP40/DNAJB1, C2C12 mouse myoblast cell lysates provide good results
Primary antibody: Human/Mouse HSP40/DNAJB1 Antibody (e.g., AF4145) at 1 μg/mL concentration has shown optimal results
Secondary antibody: HRP-conjugated Anti-Sheep IgG Secondary Antibody (e.g., HAF016) at manufacturer-recommended dilution
PVDF membrane is recommended over nitrocellulose for optimal protein retention
Reducing conditions are typically used, though some epitopes may be sensitive to reduction
Buffer system selection is critical - Immunoblot Buffer Group 1 or 2 depending on the specific antibody used
Positive control: Wild-type cell line known to express the target
Negative control: Knockout cell line (HSP40/DNAJB1 knockout HEK293T)
Loading control: GAPDH (AF5718) or similar housekeeping protein
Expected results include detection of a specific band at approximately 40 kDa, which should be absent in knockout controls. The protocol enables reliable detection across multiple cell types while maintaining specificity.
Optimizing ELISA protocols for DnaJ antibody research requires careful consideration of several key parameters to ensure sensitivity, specificity, and reproducibility:
Protein conformation is critical - research has demonstrated that native DnaJ is recognized with significantly higher affinity than denatured protein by most antibodies
For denaturation studies, treatment with 6 M guanidine hydrochloride for 60 minutes at 30°C can be used
Serial dilutions of DnaJ or HDJ-1 proteins (25–0.012 μg/mL) should be prepared to determine optimal coating concentration
Antibody Dilution Optimization:
Research has established effective dilution ranges for various anti-DnaJ mAbs:
For mouse monoclonal antibodies: goat anti-mouse immunoglobulins coupled with horseradish peroxidase
For rabbit polyclonal antibodies: horseradish peroxidase-conjugated goat anti-rabbit IgG
Substrate recommendation: TMB (3,3',5,5'-Tetramethylbenzidine) provides sensitive colorimetric detection
Each assay should be repeated at least three times to ensure reproducibility
Include both native and denatured antigen controls when studying conformational epitopes
Consider including truncated protein variants to confirm epitope specificity
This methodology has been successfully applied to characterize multiple monoclonal antibodies against DnaJ and to investigate cross-reactivity with human HDJ-1, demonstrating its effectiveness in advanced immunological research.
Generating high-quality monoclonal antibodies against DnaJ requires a systematic approach that balances immunogenicity, specificity, and yield. Based on successful research protocols:
Animal selection: Female BALB/c mice, 5-6 weeks old, have proven effective
Antigen preparation: Purified DnaJ protein (40 μg) in phosphate-buffered saline (PBS)
Adjuvant selection: Complete Freund's adjuvant for initial immunization
Immunization schedule:
Timing: Perform cell fusion three days after final booster injection
Fusion partner: Mouse myeloma cell line P3X63Ag8.653
Selection medium: Standard hypoxanthine aminopterin thymidine medium
Expansion methods:
Initial concentration: 50% ammonium sulfate precipitation
Dialysis against PBS
Affinity purification: Hi-Trap affinity columns for highest purity
Isotype determination: Enzyme immunoassays with mouse mAbs typing kits
Specificity testing: Western blotting and ELISA with native and denatured antigen
Epitope mapping: Using truncated proteins and phage display libraries
This comprehensive approach has successfully generated multiple monoclonal antibodies with distinct epitope specificities, including antibodies targeting both the highly conserved J domain (AC11) and various regions of the C-terminal domain (BB3, EE11, CC5, CC8, and DC7) .
Conformational epitope detection presents unique challenges that require specific methodological approaches. Research with DnaJ antibodies has provided key insights for addressing these challenges:
Understanding Epitope Nature:
Experimental evidence demonstrates that many anti-DnaJ monoclonal antibodies (including AC11, BB3, CC8, and EE11) recognize conformational epitopes, binding "much better with native than with denatured DnaJ" . This characteristic requires tailored experimental approaches.
Preserve Protein Structure:
Comparative Analysis:
Always test antibodies against both native and denatured forms of the antigen
In ELISA, compare reactivity between untreated protein and protein treated with denaturants (e.g., 6 M guanidine hydrochloride)
Generate binding curves to quantify differences in affinity between native and denatured forms
Alternative Detection Methods:
For antibodies that perform poorly in Western blots due to conformational epitope recognition, prioritize techniques that preserve protein structure:
ELISA with native protein coating
Immunoprecipitation under non-denaturing conditions
Flow cytometry for cell-surface proteins
Epitope Mapping Strategies:
When interpreting results, researchers should recognize that negative results in denaturing conditions do not necessarily indicate antibody failure but may reflect epitope sensitivity to denaturation.
Understanding the factors that influence cross-reactivity between bacterial and human DnaJ antibodies is essential for both experimental design and interpretation of immunological data. Research has identified several key determinants:
Evolutionary conservation: The J domain is highly conserved between bacterial DnaJ and human HDJ-1, making antibodies targeting this region (such as AC11 mAb) more likely to cross-react
Conformational similarities: Even in less conserved regions, tertiary structure similarities can lead to unexpected cross-reactivity
Conserved functional motifs: Critical functional elements like the HPD triad (residues 33-48 in DnaJ) remain highly conserved across species and are common targets for cross-reactive antibodies
Epitope specificity: Antibodies recognizing the N-terminal J domain show highest cross-reactivity due to evolutionary conservation
Surprising finding: Research has demonstrated that cross-reactivity is "not restricted to the evolutionarily conserved parts of the proteins," with C-terminal-targeting antibodies also showing significant cross-reactivity
Antibody affinity: Higher-affinity antibodies may detect more distant homologues due to stronger binding energy overcoming sequence differences
Protein conformation: Native protein structure increases likelihood of cross-reactivity
Antibody concentration: Higher concentrations may reveal cross-reactivity not apparent at working dilutions
Detection sensitivity: More sensitive detection methods may reveal cross-reactivity that other methods miss
The extensive cross-reactivity observed between bacterial DnaJ and human HDJ-1 has significant implications for research and medicine:
Experimental tools: Antibodies against bacterial DnaJ can serve as research tools for studying human HDJ-1
Autoimmunity mechanisms: The cross-reactivity supports the hypothesis that HDJ-1 could be a target of immune responses initially triggered by bacterial DnaJ, potentially explaining some autoimmune disease mechanisms
Epitope prediction: Observed patterns of cross-reactivity help identify structurally critical regions that remain conserved despite sequence divergence
Ensuring DnaJ antibody specificity requires a multi-faceted validation strategy combining both standard and advanced techniques. Based on research methodologies, the following approaches provide comprehensive validation:
Knockout/Knockdown Controls: The gold standard validation method involves comparing antibody reactivity in wild-type versus knockout samples. Research has successfully demonstrated this using "HEK293T human embryonic kidney parental cell line and HSP40/DNAJB1 knockout HEK293T cell line," where specific bands were detected "at approximately 40 kDa in the parental HEK293T cell line, but is not detectable in knockout HEK293T cell line" .
Overexpression Systems: Testing antibody reactivity against cells transfected with the target protein versus empty vector controls.
Peptide Competition Assays: Pre-incubating antibody with purified antigen should abolish specific signal.
Multiple Antibody Concordance: Using multiple antibodies targeting different epitopes of DnaJ/Hsp40 should yield consistent results.
Domain-Deletion Mutants: Testing against truncated protein variants to confirm epitope specificity, as demonstrated with various DnaJ mutant proteins in research .
Western Blot: Should show a single band at the expected molecular weight (~40 kDa for HSP40/DNAJB1) .
Immunoprecipitation-Mass Spectrometry: Can confirm that the antibody is capturing the intended target.
Epitope Mapping: Techniques such as phage display with random peptide libraries have successfully identified specific binding regions for various antibodies .
Loading Controls: Always include housekeeping proteins (e.g., GAPDH) to ensure equal protein loading across samples .
Positive and Negative Controls: Include samples known to express or lack the target protein.
Isotype Controls: Use matching isotype antibodies to control for non-specific binding.
By implementing this comprehensive validation strategy, researchers can ensure high confidence in antibody specificity before proceeding with experimental applications, preventing misinterpretation of data and ensuring reproducibility.
When faced with contradictory results between different detection methods in DnaJ antibody research, systematic analysis is essential to determine the true biological significance versus methodological limitations. Based on empirical research findings:
Epitope Accessibility Differences:
Research has demonstrated that many anti-DnaJ monoclonal antibodies (including AC11, BB3, CC8, and EE11) recognize conformational epitopes and "reacted much better with native than with denatured DnaJ" . This explains why:
An antibody may work well in ELISA (with native protein) but poorly in Western blotting (with denatured protein)
Immunoprecipitation results may contradict Western blot findings
Resolution Strategy: Test the antibody with both native and denatured protein in each method to determine if epitope conformation is the source of discrepancy .
Method-Specific Sensitivity Thresholds:
Different detection methods have inherent sensitivity limitations:
Western blotting may miss low-abundance proteins
ELISA may detect proteins below the Western blot detection threshold
Resolution Strategy: Perform dilution series experiments across multiple detection methods to establish relative sensitivity thresholds.
Antibody Performance Variability:
Research has shown that different antibodies targeting the same protein can have dramatically different performance characteristics. For example, while all six characterized anti-DnaJ mAbs were positive in ELISAs, only four (AC11, BB3, CC8, and EE11) showed positive results in Western blotting .
Resolution Strategy: Employ multiple antibodies targeting different epitopes and compare results across methods.
Experimental Condition Differences:
Buffer conditions can dramatically affect antibody performance:
Research has shown successful detection using specific buffer systems (e.g., "Immunoblot Buffer Group 1" versus "Group 2")
Reducing versus non-reducing conditions can affect epitope accessibility
Resolution Strategy: Standardize critical buffer components across methods where possible and document where standardization is not feasible.
Prioritize genetic validation results (knockout/knockdown controls) when available
Consider protein conformation requirements for each antibody based on epitope mapping data
Evaluate if contradictions are consistent across multiple antibodies or specific to one
Determine if the contradictions have a pattern that suggests a biological explanation rather than technical limitations
DnaJ (HSP40) proteins are a family of molecular chaperones that play a crucial role in protein folding, repair, and degradation. These proteins are essential for maintaining cellular homeostasis, especially under stress conditions. The term “Mouse Anti Human” refers to antibodies produced in mice that are specific to human proteins. In this context, the focus is on the DnaJ (HSP40) protein and its significance in human biology.
DnaJ proteins, also known as HSP40 (Heat Shock Protein 40), are characterized by the presence of a J-domain, which is essential for their interaction with HSP70 proteins. The J-domain facilitates the binding of substrate proteins to HSP70, thereby assisting in their proper folding and preventing aggregation . DnaJ proteins are divided into three main classes based on their domain structure:
DnaJ (HSP40) proteins are involved in various cellular processes, including:
Mouse Anti Human antibodies are monoclonal or polyclonal antibodies produced in mice that specifically recognize human DnaJ (HSP40) proteins. These antibodies are widely used in research and diagnostic applications, including:
DnaJ (HSP40) proteins and their corresponding antibodies are valuable tools in biomedical research. They are used to study: