Arp4 is a member of the actin-related protein family with critical roles in:
Nuclear F-actin regulation: Suppresses nuclear actin polymerization, influencing gene expression (e.g., OCT4) and DNA damage repair .
Chromatin remodeling: Integral to complexes like INO80, SWR1, and NuA4, facilitating histone acetylation and nucleosome reorganization .
Kinetochore assembly: Essential for proper kinetochore formation and mitotic progression, with mutations causing G2/M arrest and chromosomal missegregation .
The ARP4 antibody (e.g., PHY0973S) is a rabbit polyclonal reagent validated for:
Immunoprecipitation (IP) and Chromatin Immunoprecipitation (ChIP) to study protein-DNA interactions .
Western blotting and immunofluorescence to localize Arp4 in nuclear and chromatin-associated fractions .
Nuclear actin dynamics: Arp4 knockdown increases nuclear F-actin bundle thickness and intensity, enhancing transcriptional activation and DNA repair efficiency .
HDAC regulation: Binds histone deacetylases (HDAC1/2), inhibiting their activity until actin polymerization relieves suppression .
Cell cycle defects: arp4 mutants exhibit hypersensitivity to microtubule-destabilizing agents (e.g., benomyl) and impaired kinetochore protein recruitment (e.g., Cse4p, Mtw1p) .
The ARP4 antibody (PHY0973S) shows reactivity across diverse species:
| Organism | Scientific Name | Reactivity Confirmed |
|---|---|---|
| Plant | Arabidopsis thaliana | Yes |
| Crop | Zea mays, Oryza sativa | Yes |
| Legume | Glycine max | Yes |
| Bryophyte | Physcomitrium patens | Yes |
Source: PHY0973S product specifications
ARPC4 functions as an actin-binding component of the Arp2/3 complex, a multiprotein complex that mediates actin polymerization upon stimulation by nucleation-promoting factors. This complex is crucial for the formation of branched actin networks in the cytoplasm, which provides the force necessary for cell motility. Beyond its cytoplasmic role, the Arp2/3 complex containing ARPC4 also promotes actin polymerization in the nucleus, thereby regulating gene transcription and facilitating the repair of damaged DNA. Particularly noteworthy is its role in promoting homologous recombination (HR) repair in response to DNA damage by driving the motility of double-strand breaks (DSBs) .
In contrast, the similarly named but functionally distinct ARP4/ANGPTL4 (not to be confused with ARPC4) is a secreted protein expressed in adipose tissue, liver, and placenta. This protein plays varied roles in adipogenesis, angiogenesis (independent of VEGF), and carcinogenesis, with its expression observed in hypoxic human tissues and various cancers including liposarcoma, hepatocellular carcinoma, and renal cell carcinoma .
When selecting between polyclonal and monoclonal antibodies for ARPC4/Arp4 research, consider your experimental objectives and required specificity. Polyclonal antibodies, such as the rabbit polyclonal ARPC4 antibody described in the literature, recognize multiple epitopes and provide robust detection across applications like immunoprecipitation (IP) and Western blotting (WB) . This multi-epitope recognition makes them advantageous for detecting proteins expressed at low levels or in applications requiring strong signal amplification.
The decision should be guided by your specific experimental needs, target localization, and whether you require detection of multiple conformational states of the protein or absolute epitope specificity.
Based on the available data, commercial ARPC4 antibodies typically demonstrate reliable cross-reactivity with human and mouse samples . For example, the rabbit polyclonal ARPC4 antibody (ab217065) has been validated for both human and mouse samples in immunoprecipitation and Western blot applications. This cross-reactivity stems from the high conservation of actin-related proteins across mammalian species.
For highly specialized research involving non-mammalian models such as yeast Arp4p (used in kinetochore assembly studies), species-specific antibodies may be required, as seen in studies utilizing Flag-tagged Arp4p for ChIP chip analysis in yeast models .
When investigating nuclear functions of ARPC4, consider:
Nuclear-cytoplasmic fractionation before immunodetection
DNase or sonication treatment to release chromatin-bound proteins
Special fixation protocols for immunofluorescence that maintain nuclear architecture
For ChIP applications studying DNA-protein interactions, protocols similar to those used with Flag-tagged Arp4p in yeast studies can be adapted . These typically involve crosslinking with formaldehyde followed by chromatin fragmentation and immunoprecipitation.
If examining both cytoplasmic and nuclear pools simultaneously, sequential extraction protocols can provide compartment-specific enrichment while maintaining protein integrity and native conformation for optimal antibody recognition.
Successful ChIP-chip or ChIP-seq experiments with ARPC4/ARP4 antibodies require careful experimental design and optimization. Based on established protocols in the literature, consider the following methodology:
Antibody selection and validation:
Crosslinking and chromatin preparation:
Optimize formaldehyde crosslinking time (typically 10-15 minutes)
Ensure chromatin is sheared to appropriate fragment sizes (200-500bp)
Include input controls and non-specific antibody controls
Immunoprecipitation conditions:
Determine optimal antibody concentration through titration experiments
Adjust washing stringency to minimize background while maintaining signal
Consider dual crosslinking approaches if standard protocols yield insufficient enrichment
Data analysis considerations:
When designing these experiments, remember that nuclear actin-related proteins like ARPC4 can function in both gene transcription regulation and DNA repair processes , so experimental timing and cellular conditions should be chosen based on which functional aspect you're investigating.
For effective immunohistochemical detection of actin-related proteins in tissue samples, a protocol similar to that used for ARPC1A (a related Arp2/3 complex subunit) can be adapted. Based on established methodologies, the following procedure is recommended:
Tissue preparation and antigen retrieval:
Blocking and antibody incubation:
Block non-specific binding with 5% normal goat serum
Incubate with primary anti-ARPC4 antibody at optimized dilution (typically 1:200) overnight at 4°C
Apply appropriate species-specific secondary antibody (e.g., anti-rabbit for rabbit primary antibodies)
Signal development and quantification:
For tissue microarray (TMA) applications, this protocol has been successfully employed to assess protein expression levels across multiple patient samples simultaneously, allowing for correlation with clinical parameters and outcomes. When investigating potential prognostic biomarkers, consistent staining conditions across all samples are essential for valid comparisons.
When encountering weak or absent signals in Western blotting with ARPC4/ARP4 antibodies, systematic troubleshooting approaches should address several potential issues:
Protein extraction efficiency:
Antibody-specific considerations:
Verify the antibody recognizes your species of interest (validated for human and mouse samples)
Check if the antibody recognizes denatured epitopes (some antibodies only work in native conditions)
Optimize primary antibody concentration through titration experiments
Extend primary antibody incubation time (overnight at 4°C)
Technical optimizations:
Increase protein loading (20-50 μg per lane)
Reduce membrane blocking stringency (try 3% BSA instead of 5%)
Use enhanced chemiluminescence (ECL) substrates with higher sensitivity
Consider specialized membrane types (PVDF often provides better protein retention than nitrocellulose)
Sample preparation refinements:
Adjust reducing conditions (fresh DTT or β-mercaptoethanol)
Optimize SDS-PAGE conditions for proteins in the 20 kDa range (ARPC4 size)
Reduce transfer time or voltage for small proteins to prevent over-transfer
If problems persist after these optimizations, consider validating antibody functionality using positive control lysates from cells known to express high levels of ARPC4/ARP4 or recombinant protein standards.
Discrepancies between different antibody-based detection methods for ARPC4/ARP4 require careful analysis to determine whether they represent technical artifacts or biologically meaningful differences in protein behavior.
When encountering such discrepancies, consider the following interpretive framework:
Method-specific protein accessibility:
Protein complex integrity:
Post-translational modifications:
Discrepancies might reflect differential detection of modified protein forms
Phosphorylation or other modifications might affect epitope accessibility in a method-dependent manner
Technical considerations:
When publishing results with such discrepancies, transparently report all methodological details and consider validating key findings with multiple antibodies or orthogonal techniques such as mass spectrometry or gene expression analysis.
Rigorous validation of new ARPC4/ARP4 antibodies requires a comprehensive set of controls to ensure specificity, sensitivity, and reproducibility. Essential controls include:
Positive and negative cell/tissue controls:
Cell lines with documented high expression (positive control)
Cell lines with confirmed low/no expression (negative control)
Ideally, include knockout or knockdown samples as definitive negative controls
Tissues with known expression patterns based on mRNA data
Antigen competition assays:
Molecular weight verification:
Confirm detection at the expected molecular weight (approximately 20 kDa for ARPC4)
Assess potential detection of isoforms or processed forms
Compare with alternative antibodies targeting different epitopes of the same protein
Cross-reactivity assessment:
Test against closely related family members (other Arp2/3 complex subunits)
Evaluate species cross-reactivity if intended for multi-organism studies
Document any nonspecific binding patterns
Application-specific controls:
This systematic validation approach aligns with current best practices in the antibody field and will help researchers avoid misleading results from insufficiently characterized reagents.
ARPC4/ARP4 antibodies provide powerful tools for investigating the emerging relationship between actin dynamics and DNA repair mechanisms. Recent research has revealed that the Arp2/3 complex, which includes ARPC4, plays crucial roles in nuclear actin polymerization that drives homologous recombination (HR) repair following DNA damage .
To study these relationships:
Chromatin immunoprecipitation approaches:
Proximity ligation assays (PLA):
Employ PLA to detect in situ interactions between ARPC4 and DNA repair proteins
Visualize spatial relationships at sites of DNA damage
Quantify interaction frequencies under different damage conditions
Live-cell imaging with complementary markers:
Combine immunofluorescence for ARPC4 with markers of DNA damage (γH2AX)
Track recruitment kinetics following localized DNA damage
Correlate actin dynamics with repair progression
Functional studies with domain-specific antibodies:
Use antibodies targeting different ARPC4 domains to block specific interactions
Microinject function-blocking antibodies to assess acute effects on repair
Combine with nuclease inhibitors to dissect mechanism dependencies
This approach can help elucidate how actin-related proteins facilitate the mobility of double-strand breaks during repair processes , potentially leading to new therapeutic strategies targeting this mechanism in cancer cells.
Investigating ARPC4/ARP4's role in cancer progression and metastasis requires multi-faceted approaches that combine antibody-based detection with functional studies. Building on research demonstrating the prognostic significance of related actin complex proteins in cancers , consider these methodological approaches:
Tissue-based expression analysis:
Perform immunohistochemistry on tissue microarrays containing primary tumors and matched metastases
Implement semi-quantitative scoring systems to assess expression levels
Correlate expression with clinicopathological features and patient outcomes
Use multivariate analysis to establish independent prognostic value
Mechanistic studies in cancer models:
Evaluate ARPC4 expression across cancer cell lines with varying metastatic potential
Perform knockdown/knockout studies followed by migration, invasion, and 3D culture assays
Use antibodies to monitor changes in ARPC4 localization during epithelial-mesenchymal transition
Assess co-localization with invasive structures like invadopodia
In vivo metastasis models:
Generate stable ARPC4-modulated cell lines for xenograft studies
Use antibodies to track ARPC4 expression in circulating tumor cells
Analyze ARPC4 in primary tumors versus metastatic sites
Multi-omics integration:
These approaches can help determine whether ARPC4 holds similar prognostic value to ARPC1A, which has been identified as a biomarker in prostate cancer , and may reveal therapeutic vulnerabilities in actin regulatory pathways.
Computational models offer powerful approaches to enhance antibody selection and application in ARPC4/ARP4 research, particularly when dealing with complex specificity requirements or cross-reactivity concerns. These advanced approaches include:
Epitope prediction and antibody design:
Implement biophysics-informed modeling to identify optimal epitopes unique to ARPC4
Design antibodies with customized specificity profiles through computational approaches
Distinguish between binding modes associated with particular ligands or epitopes
Computationally optimize antibody sequences for enhanced specificity or cross-reactivity
High-throughput sequence analysis:
Apply deep sequencing analysis to phage display selections to identify antibody variants with desired binding properties
Identify binding modes that can distinguish between closely related epitopes
Use computational methods to disentangle binding profiles even when target epitopes are chemically similar
Structure-based optimization:
Implement molecular dynamics simulations to predict antibody-antigen interactions
Model conformational changes in ARPC4 that might affect epitope accessibility
Design antibodies that can distinguish between free ARPC4 and complex-incorporated forms
Cross-reactivity prediction:
Apply machine learning algorithms to predict potential cross-reactivity with related actin complex proteins
Identify sequence regions unique to ARPC4 versus other ARP family members
Optimize antibody design to minimize unwanted interactions
These computational approaches, combined with experimental validation, can generate antibodies with either highly specific binding to ARPC4 alone or controlled cross-reactivity when studying multiple actin-related proteins simultaneously .
Distinguishing between ARPC4 and other actin-related proteins requires careful antibody selection and validation strategies:
Epitope selection considerations:
Choose antibodies targeting unique regions of ARPC4 not conserved in other ARP family members
Avoid antibodies raised against highly conserved actin-binding domains
Review sequence alignments between ARPC4 and potentially cross-reactive proteins (ARPC1A, etc.)
Verify that antibodies target unique epitopes (e.g., within Human ARPC4 aa 1-50)
Validation using genetic approaches:
Implement siRNA/shRNA knockdown of ARPC4 specifically
Utilize CRISPR/Cas9-mediated knockout cells as definitive negative controls
Perform rescue experiments with exogenous ARPC4 expression to confirm specificity
Biochemical differentiation:
Use size-based differentiation (ARPC4: ~20kDa vs. other ARPs of different molecular weights)
Perform two-dimensional gel electrophoresis to separate based on both size and isoelectric point
Implement sequential immunoprecipitation to discriminate between protein complexes
Functional validation:
When working with closely related proteins like ARPC1A and ARPC4, always validate findings with multiple antibodies and complementary techniques such as mass spectrometry for definitive protein identification.
Implementing anti-ARPC4/ARP4 antibodies in multiplexed immunoassays requires careful consideration of several technical and biological factors:
Antibody compatibility:
Select antibodies raised in different host species to enable simultaneous detection
Ensure primary antibodies can be distinguished by species-specific secondary antibodies
Consider directly conjugated antibodies to eliminate secondary antibody cross-reactivity
Validate that antibody performance is maintained in multiplexed conditions
Signal separation strategies:
Implement spectral unmixing for fluorescent detection systems
Use brightfield multiplexing with distinct chromogens for immunohistochemistry
Consider sequential detection protocols with intermittent stripping or quenching
Validate signal specificity with single-stain controls
Epitope accessibility:
Evaluate whether detection of multiple targets requires different antigen retrieval methods
Determine optimal fixation conditions compatible with all target epitopes
Test order-of-addition effects when detecting multiple actin-related proteins
Quantitative considerations:
These considerations become particularly important when studying ARPC4 alongside other Arp2/3 complex components or when examining relationships between actin-related proteins and cancer biomarkers in clinical specimens.
Synthetic peptide arrays provide powerful tools for precise epitope mapping of ARPC4/ARP4 antibodies, enabling enhanced characterization and validation:
Array design strategy:
Generate overlapping peptides (typically 12-20 amino acids) spanning the entire ARPC4 sequence
Include alanine-substitution variants to identify critical binding residues
Incorporate known post-translational modification sites as modified peptides
Design control peptides from related ARP family members to assess cross-reactivity
Implementation methodology:
Synthesize peptides directly on array surfaces or spot pre-synthesized peptides
Incubate arrays with antibodies at optimized concentrations
Detect binding using labeled secondary antibodies or direct detection systems
Analyze binding patterns to identify core epitope regions
Data interpretation:
Define the minimal epitope sequence required for antibody recognition
Identify key residues by analyzing effects of alanine substitutions
Assess effects of post-translational modifications on antibody binding
Compare epitope accessibility in the context of protein structure models
Application to antibody selection:
This approach is particularly valuable for antibodies targeting synthetic peptide immunogens (such as those within Human ARPC4 aa 1-50) , as it can precisely define the recognized epitope and predict potential cross-reactivity with related proteins or affected by structural changes during protein functions.