RNF24 antibodies are employed in diverse assays, with validation critical for reproducibility:
Specificity: Polyclonal antibodies (e.g., ABIN1538304) may cross-react with non-target proteins; rigorous controls (e.g., knockout cell lines) are recommended .
Sensitivity: ELISA-grade antibodies (e.g., 14864-1-AP) require optimized protocols to detect RNF24 in low-abundance samples .
RNF24’s role in transcriptional regulation is a focal point of research:
Expression Patterns:
Molecular Features:
RNF24 (Ring Finger Protein 24) is a 17 kDa protein encoded by the RNF24 gene located on chromosome 20 in humans . It contains a RING finger domain characteristic of many E3 ubiquitin ligases, though its precise enzymatic activity remains under investigation. Current research indicates that RNF24 may play an important role in TRPC (Transient Receptor Potential Canonical) intracellular trafficking . This suggests potential involvement in calcium signaling pathways and membrane protein regulation. The protein's relatively small size and its involvement in trafficking pathways make it an interesting target for studies of protein-protein interactions and cellular localization.
Several types of RNF24 antibodies are available for research applications, varying in host species, clonality, and conjugation:
| Antibody Type | Host | Clonality | Conjugate Options | Target Regions |
|---|---|---|---|---|
| Anti-RNF24 | Rabbit | Polyclonal | Unconjugated, FITC, HRP, Biotin | AA 45-148, AA 33-61 |
| Anti-RNF24 | Mouse | Polyclonal, Monoclonal (4C6) | Unconjugated | AA 49-148 |
Most commercially available antibodies are polyclonal, raised in rabbit hosts . The antibodies target different amino acid regions of RNF24, with common epitopes including AA 33-61 and AA 45-148 . This diversity allows researchers to select antibodies targeting different regions based on experimental requirements and protein accessibility in different applications.
RNF24 antibodies have been validated for multiple experimental applications:
When selecting an RNF24 antibody, researchers should prioritize those validated for their specific application of interest. Cross-validation with multiple antibodies targeting different epitopes is recommended for confirming results, especially in novel experimental systems.
The species reactivity of RNF24 antibodies varies by product, with most antibodies showing reactivity against human RNF24 and some also recognizing mouse and rat homologs:
| Antibody Source | Human | Mouse | Rat | Other Species |
|---|---|---|---|---|
| Proteintech (14864-1-AP) | ✓ | ✓ | ✓ | Not specified |
| ABIN1538304 | ✓ | ✓ | ✗ | Not specified |
| CSB-PA019881LC01HU | ✓ | ✗ | ✗ | Not specified |
When working with non-human models, sequence homology analysis between the target epitope and the corresponding region in the species of interest is recommended to predict cross-reactivity. Experimental validation is essential when using these antibodies in species not explicitly listed in the manufacturer's specifications.
Proper storage is crucial for maintaining antibody performance. For RNF24 antibodies:
Buffer composition: Most are supplied in PBS with 0.02% sodium azide and 50% glycerol at pH 7.3-7.4
Stability: Typically stable for one year after shipment when stored properly
Aliquoting: While recommended for many antibodies, some products specifically note that "aliquoting is unnecessary for -20°C storage"
To maximize shelf-life and performance, avoid repeated freeze-thaw cycles by preparing working aliquots upon first thaw. When working with conjugated antibodies (FITC, HRP, etc.), minimize exposure to light to prevent photobleaching of the fluorophore or degradation of the enzyme.
Validation of antibody specificity is essential for generating reliable research data. For RNF24 antibodies, consider these validation approaches:
Positive and negative control samples:
Positive controls: Cell lines or tissues known to express RNF24
Negative controls: RNF24 knockout samples or tissues with negligible expression
Molecular weight verification:
Competing peptide blocking:
Pre-incubate antibody with immunizing peptide
Should abolish or significantly reduce signal
Orthogonal method comparison:
Compare protein detection with RNA expression data
Use multiple antibodies targeting different epitopes
Immunoprecipitation followed by mass spectrometry:
Ultimate confirmation of antibody target specificity
Optimal working dilutions vary by application and specific antibody product:
| Application | Typical Dilution Range | Incubation Conditions | Notes |
|---|---|---|---|
| ELISA | 1:1000 - 1:5000 | 1-2 hours at RT or overnight at 4°C | Confirm with titration for each specific antibody |
| Western Blot | 1:500 - 1:2000 | 1-2 hours at RT or overnight at 4°C | Use 5% non-fat milk or BSA in TBST for blocking |
| Immunofluorescence | 1:50 - 1:200 | 1-2 hours at RT | Follow with appropriate secondary antibody |
| Immunohistochemistry | 1:100 - 1:500 | 1-2 hours at RT or overnight at 4°C | Optimize antigen retrieval method |
| Dot Blot | 1:1000 - 1:3000 | 1 hour at RT | Useful for quick screening |
Always perform dilution series experiments to determine optimal concentration for your specific experimental conditions. Signal-to-noise ratio and background levels should guide final dilution selection.
RNF24 antibodies can facilitate the study of protein-protein interactions through several methodological approaches:
Co-immunoprecipitation (Co-IP):
Use RNF24 antibodies to pull down RNF24 and associated proteins
Western blot analysis of precipitated proteins can identify interaction partners
Critical controls include IgG control and reciprocal Co-IP
Proximity Ligation Assay (PLA):
Immunofluorescence co-localization:
FRET/BRET approaches:
Combine antibody-based detection with energy transfer techniques
Requires careful selection of fluorophore pairs and control experiments
When studying RNF24 interactions, researchers should consider its potential role in TRPC trafficking pathways and design experiments to capture both stable and transient interactions that may occur during the trafficking process.
When using RNF24 antibodies for cell-type specific analyses, researchers should consider:
Expression pattern verification:
Confirm RNF24 expression in your cell type of interest using transcriptomic data
Use immunohistochemistry with cell-type specific markers for co-localization studies
Fixation and permeabilization optimization:
Different cell types may require distinct fixation protocols
Test multiple conditions (PFA, methanol, acetone) to determine optimal preservation
Permeabilization conditions may need adjustment for different cellular compartments
Background reduction strategies:
Employ appropriate blocking solutions specific to the cell type
Consider autofluorescence quenching for certain tissues/cell types
Use isotype controls matched to the host species and antibody class
Signal amplification methods:
For low expression levels, consider tyramide signal amplification
Multiplex with cell-type specific markers for unambiguous identification
Validation across independent samples:
Confirm staining patterns across multiple donors/animals
Account for potential inter-individual variation in expression levels
These considerations help ensure reliable and reproducible results when studying RNF24 expression and localization in specific cell populations.
Recent advances in de novo antibody design have significant implications for developing improved RNF24 antibodies:
Structure-based epitope targeting:
Library construction strategies:
Affinity and specificity engineering:
Yeast display technology integration:
These advances hold promise for developing next-generation RNF24 antibodies with improved specificity, sensitivity, and functional capabilities that could enable more precise studies of RNF24 biology.
| Issue | Possible Causes | Solutions |
|---|---|---|
| No signal in Western blot | Protein degradation | Add protease inhibitors to lysate, avoid freeze-thaw cycles |
| Insufficient protein | Increase loading amount, confirm expression in sample | |
| Inefficient transfer | Optimize transfer conditions for 17 kDa protein | |
| Multiple bands | Non-specific binding | Increase blocking time/concentration, optimize antibody dilution |
| Protein degradation | Fresh sample preparation, add protease inhibitors | |
| Post-translational modifications | Verify with literature, consider phosphatase treatment | |
| High background | Excessive antibody concentration | Titrate antibody to optimal concentration |
| Insufficient washing | Increase wash steps duration/number | |
| Non-specific secondary binding | Use more specific secondary antibody, include blocking proteins | |
| Inconsistent results | Antibody degradation | Proper storage, avoid freeze-thaw cycles |
| Sample variability | Standardize sample preparation protocols | |
| Protocol inconsistency | Maintain detailed protocols, minimize variables |
When troubleshooting RNF24 antibody experiments, systematic modification of one variable at a time will help identify the source of the problem. Maintaining detailed records of all experimental conditions facilitates troubleshooting and protocol optimization.
For optimal immunofluorescence results with RNF24 antibodies:
Fixation optimization:
Test different fixatives (4% PFA, methanol, acetone)
Fixation time may need adjustment (10-20 minutes) based on cell type
Consider mild fixation to preserve epitope accessibility
Antigen retrieval considerations:
Heat-induced epitope retrieval may improve signal for some antibodies
Test citrate buffer (pH 6.0) and EDTA buffer (pH 8.0-9.0)
Enzymatic retrieval with proteinase K may help for certain applications
Blocking and permeabilization:
Use 5-10% normal serum from the same species as secondary antibody
Test different permeabilization agents (0.1-0.5% Triton X-100, 0.1-0.5% Saponin)
Optimize permeabilization time (5-15 minutes) based on subcellular localization
Antibody incubation:
Signal amplification:
Counter-staining:
Include nuclear stain (DAPI/Hoechst) for orientation
Consider membrane or organelle markers based on expected RNF24 localization
Actin cytoskeleton staining provides cellular context
Detailed protocol records and systematic optimization are key to developing reproducible immunofluorescence methods for RNF24 visualization.
When faced with contradictory results from different RNF24 antibodies:
Review epitope information:
Consider antibody specificity:
Polyclonal antibodies recognize multiple epitopes but may have higher cross-reactivity
Monoclonal antibodies have higher specificity but may miss protein variants
Validate specificity with appropriate controls (blocking peptides, knockdowns)
Evaluate experimental conditions:
Different antibodies may perform optimally under different conditions
Fixation methods can dramatically affect epitope accessibility
Buffer compositions and blocking reagents can influence antibody binding
Analyze protein state:
Some antibodies preferentially recognize native versus denatured protein
Protein complexes or interactions may mask certain epitopes
Protein conformation changes could expose or conceal epitopes
Orthogonal validation approaches:
Confirm findings with non-antibody methods (e.g., GFP-tagging, mass spectrometry)
Use genetic approaches (knockdown/knockout) to verify specificity
Compare with mRNA expression data
Consult literature and databases:
Review published validation data for specific antibodies
Check antibody validation databases for known issues
Consider reaching out to other researchers using these antibodies
Contradictory results may reflect genuine biological complexity rather than technical artifacts. Careful validation and comprehensive experimental design are essential for resolving such discrepancies.
Integration of RNF24 antibodies into multi-omics research enables comprehensive understanding of this protein's function:
Proteomics integration:
Immunoprecipitation with RNF24 antibodies followed by mass spectrometry identifies interaction partners
Protein array analysis with RNF24 antibodies can reveal novel interactions
Comparison with proximity labeling approaches (BioID, APEX) provides complementary interaction data
Genomics correlation:
ChIP-seq using RNF24 antibodies can identify potential DNA binding sites if RNF24 has nuclear functions
Correlate RNF24 protein levels with genomic/transcriptomic data to identify regulatory relationships
Integrate with GWAS data if RNF24 locus shows disease associations
Transcriptomics correlation:
Combine RNF24 immunostaining with single-cell RNA-seq to correlate protein and mRNA levels
Identify cell populations with discordant protein/mRNA expression
Track changes in expression during development or disease progression
Spatial omics applications:
Use RNF24 antibodies in multiplex imaging platforms (CODEX, MIBI, IMC)
Integrate with spatial transcriptomics for protein-RNA correlation at tissue level
Develop computational pipelines to analyze protein distribution patterns
Functional proteomics:
Combine with ubiquitinome analysis to identify potential RNF24 substrates
Phospho-proteomics to identify signaling pathways affecting RNF24 function
Integrate with interactome databases to place RNF24 in functional networks
These integrated approaches provide a systems-level understanding of RNF24 biology beyond what can be achieved with single-method investigations.
When employing RNF24 antibodies in high-throughput screening contexts:
Assay miniaturization and automation:
Optimize antibody concentration for reduced volumes
Determine minimum incubation times without compromising signal
Validate antibody performance in automated liquid handling systems
Signal detection optimization:
Multiplexing considerations:
Test for antibody cross-reactivity in multiplex assays
Optimize antibody combinations for compatible detection systems
Consider antibody stripping protocols for sequential probing
Quality control metrics:
Establish Z' factor for assay robustness assessment
Implement positive and negative controls on each plate
Monitor signal drift across plates and screening batches
Data analysis pipelines:
Develop standardized analysis protocols for consistent interpretation
Implement machine learning for pattern recognition in complex phenotypes
Consider biological replicate strategies to minimize false positives/negatives
Validation strategies:
Design secondary assays for hit confirmation
Include orthogonal approaches for mechanism validation
Consider dose-response testing for promising candidates
High-throughput applications require extensive initial optimization and quality control to ensure reliable and reproducible results across large sample sets.
While primarily research tools, RNF24 antibodies have potential applications in biomarker development:
Expression pattern analysis:
Compare RNF24 expression across normal and disease tissues
Evaluate correlation with disease progression or patient outcomes
Assess value as part of multiplex biomarker panels
Post-translational modification detection:
Develop modification-specific antibodies (phospho-RNF24, ubiquitinated RNF24)
Evaluate changes in modification patterns in disease states
Correlate with therapeutic response or resistance mechanisms
Liquid biopsy applications:
Investigate RNF24 detection in circulating tumor cells or extracellular vesicles
Develop sensitive detection methods (e.g., proximity extension assays)
Evaluate prognostic or predictive value in longitudinal studies
Imaging applications:
Explore potential for RNF24 antibodies in molecular imaging
Evaluate correlations between RNF24 localization and disease states
Consider companion diagnostic applications if therapeutically relevant
Technical considerations for clinical translation:
Rigorous validation across multiple patient cohorts
Development of standardized protocols for clinical laboratory implementation
Robust quality control and reproducibility assessments
Regulatory considerations:
Analytical validation requirements for clinical use
Clinical validation through appropriate trial design
Compliance with applicable regulatory frameworks
Any diagnostic application would require extensive validation beyond research use, including demonstration of clinical utility and analytical performance across diverse patient populations.
Despite available research tools, several key aspects of RNF24 biology remain underexplored:
Enzymatic activity confirmation:
While RNF24 contains a RING finger domain characteristic of E3 ligases, its enzymatic activity and substrates remain poorly characterized
Improved antibodies could facilitate activity-based assays and substrate identification
Tissue-specific functions:
Comprehensive analysis of RNF24 expression across tissues and cell types is incomplete
Cell type-specific roles and regulation mechanisms remain to be elucidated
Subcellular localization dynamics:
Structure-function relationships:
How different domains contribute to RNF24 function
Conformational changes associated with activity or regulation
Disease associations:
Potential roles in pathological processes remain largely unexplored
Connections to specific disease mechanisms or therapeutic opportunities
Next-generation antibodies with enhanced specificity, sensitivity, and functional capabilities could help address these knowledge gaps and advance understanding of RNF24 biology.
Emerging technologies will likely transform RNF24 antibody research:
De novo design approaches:
Single-domain antibodies and nanobodies:
Smaller size enables access to sterically hindered epitopes
Improved penetration for imaging applications
Enhanced performance in certain applications like super-resolution microscopy
Recombinant antibody technologies:
Improved consistency and reproducibility compared to animal-derived antibodies
Engineered modifications for specific applications
Potential for systematic epitope targeting across the entire RNF24 protein
Spatially-resolved antibody applications:
Integration with spatial transcriptomics and proteomics
High-dimensional tissue analysis in health and disease contexts
Single-molecule localization methods for precise protein mapping
Live-cell antibody applications:
Cell-permeable antibody formats for live-cell imaging
Intrabodies for tracking endogenous RNF24 in real-time
Optogenetic or chemogenetic antibody systems for functional perturbation