HIPK3 antibodies are immunoreagents designed to detect and quantify the HIPK3 protein, encoded by the HIPK3 gene (Entrez Gene ID: 10114 in humans). Key features include:
Protein Structure: 1,215 amino acids with a molecular weight of ~134 kDa (observed at 150 kDa due to post-translational modifications) .
Functional Domains:
Isoforms: Conserved across humans (UniProt Q9H422), mice (Q9ERH7), and rats (O88850) .
HIPK3 antibodies are widely used in molecular biology and clinical research, with validation across multiple platforms:
Methylation Status: Seven CpG sites in HIPK3 show hypomethylation in RA patients (p = 1.143×10⁻⁸) compared to controls, correlating with elevated HIPK3 expression in immune cells .
Diagnostic Utility:
Non-Small Cell Lung Cancer (NSCLC): Low HIPK3 expression predicts poor survival and promotes metastasis .
Autophagy Regulation: HIPK3 modulates protein accumulation in Huntington’s disease .
Antigen Retrieval: Optimal results require TE buffer (pH 9.0) or citrate buffer (pH 6.0) for IHC .
Storage: Stable at -20°C in PBS with 0.02% sodium azide and 50% glycerol .
Cross-Reactivity: Validated against recombinant human proteins; no significant off-target binding reported .
HIPK3 antibodies are critical for advancing studies in:
Homeodomain-interacting protein kinase 3 (HIPK3) is a conserved serine/threonine kinase that regulates various transcription factors influencing critical developmental processes, including cell proliferation, differentiation, apoptosis, and inflammatory responses. HIPK3 shares several functional domains with HIPK2, though its conservation is relatively low compared to other family members. Its significance in research stems from its diverse roles in cellular processes and implications in various pathological conditions, including cancer, neurodegeneration, and autoimmune disorders . Understanding HIPK3 function provides insights into fundamental cellular mechanisms and potential therapeutic targets.
HIPK3 antibodies are typically available in various formats targeting different epitopes of the protein. Common specifications include:
Host organisms: Predominantly rabbit-derived polyclonal antibodies
Target specificity: Various regions including C-terminal (AA 1127-1156), internal regions (AA 841-1130), and other specific domains (AA 770-850, AA 401-500)
Reactivity: Most commonly reactive with human samples, with many cross-reactive to mouse and rat
Applications: Western blotting (WB), immunohistochemistry on paraffin-embedded sections (IHC-P), immunofluorescence (IF), ELISA, and immunocytochemistry (ICC)
Conjugation options: Available as unconjugated antibodies or conjugated with HRP, FITC, or biotin for specific detection methods
HIPK3 antibodies can be effectively utilized in multiple experimental applications depending on research objectives:
Western blotting: For protein expression quantification and molecular weight confirmation
Immunohistochemistry: For examining tissue localization patterns in paraffin-embedded or frozen sections
Immunofluorescence: For subcellular localization studies in cultured cells
ELISA: For quantitative detection of HIPK3 in solution
RNA immunoprecipitation assays: For investigating HIPK3's interactions with RNA components, particularly important when studying circHIPK3 functions
The choice of application should be guided by the specific antibody's validated performance characteristics and the experimental question being addressed.
Proper validation of HIPK3 antibodies is critical for ensuring experimental reliability. A comprehensive validation approach should include:
Specificity testing: Western blot analysis demonstrating a single band at the expected molecular weight (~130-140 kDa for full-length HIPK3)
Positive and negative controls: Using tissues/cells known to express HIPK3 (positive) versus those with knockdown/knockout of HIPK3 (negative)
Cross-reactivity assessment: Testing against closely related proteins (HIPK1, HIPK2, HIPK4) to confirm specificity
Application-specific validation: For IHC applications, comparing staining patterns with mRNA expression data
Lot-to-lot consistency: Evaluating performance consistency across different production lots
Researchers should also consider validating antibodies in their specific experimental system before conducting full-scale experiments to ensure optimal performance in the particular context of their research.
For optimal Western blotting results when using HIPK3 antibodies, researchers should consider the following protocol parameters:
Sample preparation: Total protein extraction with RIPA buffer containing protease inhibitors
Protein loading: 20-50 μg of total protein per lane
Gel percentage: 8-10% SDS-PAGE for optimal separation of the high molecular weight HIPK3 protein
Transfer conditions: Wet transfer at 100V for 90-120 minutes or overnight at 30V for efficient transfer of large proteins
Blocking: 5% non-fat dry milk or BSA in TBST for 1 hour at room temperature
Primary antibody dilution: Typically 1:500-1:2000 (antibody-dependent, should be empirically determined)
Incubation conditions: Overnight at 4°C with gentle rocking
Washing: 3-5 washes with TBST, 5-10 minutes each
Detection system: HRP-conjugated secondary antibodies with enhanced chemiluminescence detection
Optimization of these conditions may be necessary depending on the specific antibody and sample type.
When performing immunohistochemistry with HIPK3 antibodies, researchers should address these critical factors:
Fixation method: 10% neutral buffered formalin is typically suitable, though some epitopes may require gentler fixatives
Antigen retrieval: Heat-induced epitope retrieval using citrate buffer (pH 6.0) or EDTA buffer (pH 9.0)
Blocking endogenous peroxidase: 3% hydrogen peroxide for 10 minutes
Blocking non-specific binding: 5-10% normal serum from the species of the secondary antibody
Primary antibody dilution: Typically 1:100-1:500 (requires optimization)
Incubation time: Overnight at 4°C or 1-2 hours at room temperature
Detection system: Compatible with standard immunohistochemistry detection systems (ABC, polymer-based)
Counterstaining: Hematoxylin for nuclear visualization
Controls: Include positive, negative, and isotype controls to validate staining specificity
The staining pattern should be interpreted in the context of known HIPK3 expression patterns and localization (predominantly nuclear with some cytoplasmic distribution).
HIPK3 demonstrates significant relevance to rheumatoid arthritis (RA) research through its epigenetic regulation and relationship with inflammatory markers:
Methylation status: HIPK3 shows hypomethylation in the blood of RA patients compared to osteoarthritis patients and healthy controls (p= 1.143×10^-8, FDR= 2.799×10^-7)
Biomarker potential: HIPK3 methylation status shows high predictive power for RA diagnosis (AUC=0.829), especially valuable when combined with other clinical markers (AUC=0.864 when combined with ACPA- and RF+)
Inflammation correlation: HIPK3 methylation levels are negatively correlated with C-reactive protein (CRP; r= -0.16, p= 0.01), a key inflammatory marker in RA
HIPK3 antibodies can be utilized to investigate protein expression patterns in synovial tissues and peripheral blood mononuclear cells from RA patients. This can be correlated with methylation data to establish a comprehensive understanding of HIPK3's role in RA pathogenesis. Antibody-based immunoprecipitation followed by mass spectrometry can also help identify HIPK3 interaction partners in inflammatory conditions .
HIPK3 demonstrates complex and context-dependent roles in cancer biology:
Expression patterns: HIPK3 shows significantly downregulated mRNA and protein expression in non-small cell lung cancer (NSCLC) tissues
Functional impact: HIPK3 silencing promotes invasion and metastasis in NSCLC models
Prognostic value: Low HIPK3 expression correlates with poor survival in NSCLC patients
Contrasting roles: While acting as a tumor suppressor in lung cancer, HIPK3 (particularly circHIPK3) may promote growth and metastasis in esophageal squamous cell carcinoma
HIPK3 antibodies enable several experimental approaches in cancer research:
Tissue microarray analysis: Evaluating HIPK3 expression across tumor stages and grades
Correlation studies: Examining relationships between HIPK3 protein levels and patient outcomes
Functional studies: Using antibodies to validate HIPK3 knockdown or overexpression in cell models
Mechanistic investigations: Immunoprecipitation to identify cancer-specific interaction partners
These applications collectively help elucidate HIPK3's role in tumorigenesis and its potential as a biomarker or therapeutic target.
HIPK3 has emerged as a significant factor in Huntington's disease (HD) pathogenesis, presenting opportunities for antibody-based investigations:
Autophagy regulation: HIPK3 functions as a novel kinase regulator of autophagy in HD cells, contributing to protein accumulation and disease progression
Therapeutic implications: Inhibition of HIPK3 or loss of its kinase activity lowers mutant HTT levels via autophagy
Model systems: HIPK3's role has been investigated in HD mouse primary neurons, human iPSC-derived neurons, and HD fly models
HIPK3 antibodies can facilitate HD research through:
Protein localization studies: Determining HIPK3 distribution in affected neural tissues
Co-localization analysis: Examining spatial relationships between HIPK3 and aggregated mutant HTT
Quantification of expression changes: Monitoring HIPK3 levels during disease progression and in response to potential therapeutics
Target engagement studies: Verifying the efficacy of HIPK3 inhibitors like AST487 in reducing HIPK3 activity
Phosphoproteomic analysis: Identifying HIPK3 substrates in neuronal cells using phospho-specific antibodies
These applications provide critical insights into the mechanisms linking HIPK3 to HD pathogenesis and potential therapeutic strategies.
Distinguishing circular RNA forms of HIPK3 (circHIPK3) from linear HIPK3 mRNA requires specialized approaches:
Experimental strategies:
RNase R treatment: CircRNAs are resistant to RNase R digestion due to their lack of free ends, while linear RNAs are degraded
Divergent primers: PCR with primers designed to amplify outward from a junction site will only amplify circular forms
Northern blotting: Using junction-spanning probes to specifically detect circHIPK3
RNA immunoprecipitation (RIP): Using antibodies against proteins that preferentially bind circRNAs
Analysis considerations:
RNA-seq data analysis: Special bioinformatic pipelines (e.g., CIRCexplorer, CIRI) are required to detect back-spliced junction reads characteristic of circRNAs
Junction verification: Sanger sequencing to confirm the exact back-splicing junction of circHIPK3
For functional studies, researchers should employ targeted knockdown strategies using siRNAs directed specifically at the back-splice junction of circHIPK3 to avoid affecting linear HIPK3 expression. This approach has been successfully used in studies examining circHIPK3's role in cardiac dysfunction and cancer models .
Investigating HIPK3's kinase function and substrate specificity requires sophisticated biochemical and cellular approaches:
In vitro kinase assays:
Recombinant protein production: Express and purify active HIPK3 kinase domain using bacterial or mammalian expression systems
Substrate screening: Utilize peptide arrays or protein microarrays to identify potential phosphorylation targets
Validation assays: Perform in vitro kinase reactions with ATP or non-radioactive ATP analogs
Phosphosite mapping: Use mass spectrometry to identify specific residues phosphorylated by HIPK3
Cellular approaches:
Phospho-specific antibodies: Develop antibodies against known or predicted HIPK3 phosphorylation sites
Phosphoproteomic analysis: Compare phosphopeptide profiles between wild-type and HIPK3-deficient cells
Kinase-dead mutants: Express catalytically inactive HIPK3 (typically K226M mutation) as a dominant-negative control
Chemical genetics: Engineer analog-sensitive HIPK3 mutants that can utilize modified ATP analogs for specific labeling of substrates
Inhibitor studies:
Small molecule inhibitors: Utilize HIPK3 inhibitors like AST487 to block kinase activity
Dose-response relationships: Establish concentration-dependent effects on substrate phosphorylation
Selectivity profiling: Determine inhibitor specificity across related kinases
These approaches collectively provide a comprehensive understanding of HIPK3's enzymatic function and biological targets.
The divergent roles reported for HIPK3 across different disease models present a significant challenge for researchers. A systematic approach to reconciling contradictory findings should include:
Methodological standardization:
Antibody validation: Ensure consistent use of validated HIPK3 antibodies with confirmed specificity
Expression analysis: Employ multiple methods (qPCR, Western blot, immunohistochemistry) to verify HIPK3 expression patterns
Isoform specificity: Distinguish between different HIPK3 isoforms and circular RNA forms in analyses
Context-dependent considerations:
Tissue specificity: Acknowledge that HIPK3 may have different functions in different tissues (e.g., tumor suppressor in lung vs. oncogenic in esophageal cancer)
Disease stage: Consider temporal aspects of disease progression when comparing studies
Experimental systems: Distinguish between findings from cell lines, primary cultures, animal models, and human samples
Integrative approaches:
Meta-analysis: Systematically review published literature with attention to methodological details
Multi-omics integration: Combine transcriptomic, proteomic, and functional data to build comprehensive models
Collaboration: Establish research consortia to standardize protocols and directly compare results across laboratories
Mechanistic resolution:
Pathway analysis: Map HIPK3 functions to specific signaling pathways in each context
Interactome studies: Identify context-specific protein interaction partners
Genetic background: Consider the influence of genetic modifiers on HIPK3 function
By addressing these factors systematically, researchers can develop more nuanced models of HIPK3 function that account for apparently contradictory observations.
Integrating HIPK3 antibodies into multiplexed imaging workflows enables simultaneous visualization of multiple markers, providing richer contextual information:
Advanced multiplexing strategies:
Sequential immunofluorescence: Iterative staining, imaging, and antibody stripping/quenching
Spectral unmixing: Using spectrally distinct fluorophores with computational separation of overlapping signals
Mass cytometry imaging (IMC): Metal-tagged antibodies detected by laser ablation and mass spectrometry
DNA-barcoded antibodies: Antibodies conjugated to DNA oligonucleotides for sequential detection
HIPK3 antibody considerations for multiplexing:
Clone selection: Choose HIPK3 antibody clones compatible with fixation methods required for multiplexing
Signal amplification: Consider tyramide signal amplification for low-abundance HIPK3 detection
Antibody validation: Verify that multiplexing conditions do not alter HIPK3 epitope accessibility
Cross-reactivity testing: Ensure no cross-reactivity between HIPK3 antibodies and other antibodies in the panel
Data analysis approaches:
Spatial statistics: Quantify co-localization between HIPK3 and other markers
Cell type identification: Combine HIPK3 with cell type-specific markers to identify expression patterns
Neighborhood analysis: Examine spatial relationships between HIPK3-expressing cells and their microenvironment
These approaches are particularly valuable for investigating HIPK3's role in complex tissues such as inflammatory synovium in rheumatoid arthritis or heterogeneous tumor microenvironments .
Developing antibodies that specifically recognize different HIPK3 isoforms requires targeted approaches:
Epitope selection strategies:
Junction-spanning epitopes: Design peptide immunogens that span unique exon-exon junctions specific to particular isoforms
Isoform-unique regions: Target sequences present exclusively in certain isoforms
Post-translational modifications: Generate antibodies against modifications specific to certain isoforms
Production and screening workflow:
Immunization: Use synthetic peptides or recombinant protein fragments as immunogens
Hybridoma screening: Employ differential screening against multiple isoforms to identify clone specificity
Recombinant antibody technology: Use phage display libraries with isoform-specific selection strategies
Validation: Test against cells overexpressing individual isoforms and in isoform-specific knockdown models
Application-specific considerations:
Western blotting: Optimize gel percentage to resolve isoforms with small molecular weight differences
Immunoprecipitation: Verify pull-down of specific isoforms by mass spectrometry
Immunohistochemistry: Validate specificity using tissues with known isoform expression patterns
Developing such isoform-specific antibodies would enable more precise characterization of HIPK3 biology, particularly in contexts where different isoforms may have distinct or even opposing functions .
Single-cell technologies provide powerful tools for understanding HIPK3 expression and function at unprecedented resolution:
Single-cell protein analysis methods:
Mass cytometry (CyTOF): Metal-tagged HIPK3 antibodies enable quantification across millions of individual cells
Single-cell Western blotting: Microfluidic platforms for protein separation and antibody detection in individual cells
Imaging mass cytometry: Combines mass cytometry with tissue imaging for spatial single-cell analysis
Proximity extension assays: Antibody pairs with attached oligonucleotides for highly sensitive protein detection
Integration with transcriptomics:
CITE-seq: Antibody-oligonucleotide conjugates enable simultaneous measurement of protein and mRNA
Single-cell RNA-seq with protein validation: Follow-up validation of transcriptomic clusters using HIPK3 antibodies
Spatial transcriptomics with protein co-detection: Combining in situ RNA analysis with antibody staining
Analysis and interpretation:
Trajectory analysis: Map HIPK3 expression changes during cellular differentiation or disease progression
Heterogeneity quantification: Identify subpopulations with distinct HIPK3 expression or activation states
Regulatory network inference: Correlate HIPK3 with other proteins to infer functional relationships
These approaches are particularly valuable for understanding the complex roles of HIPK3 in heterogeneous disease contexts, such as the inflammatory microenvironment in rheumatoid arthritis or the diverse cell populations affected in neurodegenerative conditions .