ZNF583 antibodies are utilized across multiple experimental platforms:
Detection: HRP-conjugated secondary antibodies (1:50,000–100,000 dilution)
Use Case: Identifying ZNF583 expression levels in human tissues or cell lines
ZNF583 is predicted to bind DNA and regulate RNA polymerase II activity, influencing gene expression . Antibodies have been used to study its involvement in transcriptional networks .
Osteosarcoma: Reduced ZNF583 expression correlates with chemoradiotherapy resistance and poor prognosis. A survival-predictive signature (ZNF583, CGNL1, CXCL13) was validated in external cohorts .
Immune Infiltration: Low ZNF583 expression is linked to enhanced immune cell infiltration, suggesting therapeutic potential .
ZNF583 is implicated in squamous cell carcinomas (basosquamous and anal) , underscoring its role in oncogenic pathways.
ZNF583 (Zinc finger protein 583) is a member of the krueppel C2H2-type zinc-finger protein family that is believed to be involved in transcriptional regulation . The protein has a molecular weight of approximately 66 kDa and is encoded by a gene located on chromosome 19q13.43 in humans . ZNF583 primarily localizes to the nucleus, which is consistent with its presumed function in transcriptional regulation .
The protein contains zinc finger domains that likely mediate DNA binding, allowing it to potentially regulate the expression of target genes. Recent research has suggested that ZNF583 expression may be associated with cancer progression and therapy response, making it an interesting target for oncology research .
Most commercially available ZNF583 antibodies are rabbit polyclonal antibodies generated against synthetic peptides or recombinant proteins corresponding to human ZNF583 . These antibodies are typically offered in unconjugated form, though some may be available with conjugates for specific applications. The antibodies are generally purified using peptide affinity chromatography methods to ensure specificity .
For optimal experimental design, researchers should note that these antibodies have been validated primarily for human samples, with some showing cross-reactivity to mouse and rat ZNF583 orthologs with varying degrees of sequence identity (approximately 62% for mouse and 55% for rat) .
ZNF583 antibodies have been validated for several standard protein detection methods:
When designing experiments, researchers should perform their own validation and optimization steps, as performance can vary between antibody lots and experimental conditions. Using appropriate positive and negative controls is essential for reliable results.
To maintain antibody activity and prevent degradation, the following storage and handling guidelines are recommended:
Avoid repeated freeze-thaw cycles to prevent antibody degradation
ZNF583 antibodies are typically supplied in storage buffers containing:
When working with lyophilized antibodies, reconstitute to 1 mg/mL concentration and aliquot to minimize freeze-thaw cycles
Validating antibody specificity is crucial for obtaining reliable results. For ZNF583 antibodies, consider the following validation approaches:
Blocking experiments: Use recombinant ZNF583 protein fragments (such as aa 63-138) as competitive inhibitors. Pre-incubate the antibody with a 100x molar excess of the protein fragment for 30 minutes at room temperature before application to your sample .
Knockdown/knockout validation: Compare antibody reactivity in samples with normal ZNF583 expression versus samples where ZNF583 has been knocked down or knocked out using siRNA or CRISPR-Cas9.
Multiple antibody validation: Use antibodies from different sources or those recognizing different epitopes of ZNF583 to confirm consistent results.
Western blot analysis: Verify that the detected band corresponds to the expected molecular weight (66 kDa) .
Positive and negative control tissues: Test the antibody on tissues known to express ZNF583 positively and negatively .
These validation methods should be performed in the context of your specific experimental conditions and sample types to ensure reliable results.
For optimal Western blot detection of ZNF583, consider the following methodological recommendations:
Sample preparation:
Use appropriate lysis buffers containing protease inhibitors
Denature samples thoroughly in reducing conditions (with β-mercaptoethanol or DTT)
Gel electrophoresis:
Use 8-10% SDS-PAGE gels (appropriate for 66 kDa proteins)
Load sufficient protein (typically 20-50 μg of total protein)
Antibody concentration and incubation:
Detection system:
Use enhanced chemiluminescence (ECL) systems with appropriate sensitivity
For low abundance proteins, consider using signal enhancement systems
Controls:
Include positive control (tissue/cell line known to express ZNF583)
Consider using recombinant ZNF583 protein as a reference standard
Cross-reactivity can significantly impact experimental results. To address potential cross-reactivity with ZNF583 antibodies:
Epitope analysis: Review the immunogen sequence used to generate the antibody and check for homology with other proteins, particularly other zinc finger proteins within the same family .
Blocking peptides: Use the immunizing peptide or recombinant protein for blocking experiments to confirm specificity .
Control tissues/cells: Test the antibody on samples known to lack ZNF583 expression to identify non-specific binding.
Optimize blocking conditions: Increase the concentration of blocking agent (BSA or non-fat dry milk) and consider adding 0.1-0.5% Tween-20 to reduce non-specific binding.
Antibody dilution optimization: Test a range of antibody dilutions to find the optimal signal-to-noise ratio.
Alternative antibody selection: When possible, use monoclonal antibodies or antibodies targeting unique regions of ZNF583 to reduce cross-reactivity with related proteins.
Species considerations: For cross-species applications, consider sequence homology (human ZNF583 shows 62% homology with mouse and 55% with rat orthologs) , which may impact antibody performance.
Emerging research indicates that ZNF583 may have significant implications in disease contexts, particularly in cancer:
Research into ZNF583's role in normal and disease states is still emerging, and antibody-based detection methods will be crucial for elucidating its functions and potential as a biomarker or therapeutic target.
For successful immunohistochemical detection of ZNF583, consider the following methodological recommendations:
Tissue preparation:
Formalin-fixed, paraffin-embedded (FFPE) tissues should be sectioned at 4-6 μm thickness
Antigen retrieval is typically required due to formalin-induced cross-linking
Heat-induced epitope retrieval (HIER) using citrate buffer (pH 6.0) or EDTA buffer (pH 9.0) should be tested to determine optimal conditions
Antibody optimization:
Detection system:
Use appropriate secondary antibody systems (HRP or AP-based)
Consider signal amplification systems for low-abundance proteins
Optimize DAB (or other chromogen) development time to achieve optimal signal-to-noise ratio
Controls:
Counterstaining:
Use appropriate nuclear counterstains (e.g., hematoxylin) to visualize tissue architecture
Adjust counterstaining intensity to allow clear visualization of ZNF583 staining
Accurate quantification of ZNF583 expression is essential for comparative studies. Consider these methodological approaches:
Western blot quantification:
Use recombinant ZNF583 protein standards to generate a calibration curve
Employ digital imaging and analysis software to measure band intensity
Normalize to appropriate loading controls (β-actin, GAPDH, etc.)
qRT-PCR for mRNA expression:
Design specific primers spanning exon-exon junctions
Use absolute quantification with standard curves or relative quantification with the 2^-ΔΔCt method
Validate qPCR efficiency and specificity before experimental use
Immunohistochemical quantification:
Use digital pathology software for objective quantification
Score based on staining intensity and percentage of positive cells
Consider H-score or Allred scoring systems for semi-quantitative assessment
Flow cytometry:
For intracellular staining of ZNF583, use appropriate fixation and permeabilization
Use isotype controls to determine background staining
Quantify using mean fluorescence intensity (MFI) or percentage of positive cells
Mass spectrometry:
For absolute quantification, consider targeted proteomics approaches with isotope-labeled standards
Account for protein extraction efficiency and digestion completeness
Recent findings suggest that ZNF583 has potential as a biomarker in cancer research:
When investigating ZNF583 as a biomarker, researchers should:
Use standardized protocols for sample collection and processing
Employ multiple detection methods (protein and mRNA level)
Incorporate appropriate clinical data and follow-up information
Validate findings in independent cohorts
Consider multivariate analysis to account for confounding factors
To investigate ZNF583 function, several experimental models can be considered:
Cell line models:
Select cell lines with documented ZNF583 expression
Create overexpression models using cDNA expression vectors
Generate knockdown/knockout models using siRNA, shRNA, or CRISPR-Cas9
Use inducible expression systems for temporal control
Animal models:
Patient-derived samples:
Analyze ZNF583 expression in primary patient samples
Correlate expression with clinical outcomes and treatment responses
Consider patient-derived xenografts (PDX) for in vivo studies
Computational approaches:
Use bioinformatic analysis of publicly available datasets to identify potential ZNF583 targets
Employ pathway analysis to understand ZNF583's role in cellular networks
Utilize single-cell RNA sequencing data to examine cell-type specific expression patterns