STRING: 7955.ENSDARP00000122712
UniGene: Dr.20282
ZNF385B is a zinc finger protein containing 4 U1-type zinc fingers with a canonical length of 471 amino acids and molecular weight of 50.4 kDa in humans. It's primarily localized to the nucleus and exists in up to 5 different isoforms . The protein is notably expressed in the brain and germinal centers of lymph nodes .
Research interest in ZNF385B stems from its involvement in critical cellular processes including p53/TP53-mediated apoptosis , cell differentiation and proliferation . Recent studies have identified ZNF385B as differentially expressed in various cancers, particularly breast cancer where its downregulation appears to correlate with poor prognosis , positioning it as a potential biomarker.
Selection of an appropriate ZNF385B antibody requires consideration of several experimental factors:
Application compatibility: Verify the antibody has been validated for your specific application (WB, IHC, ICC/IF, ELISA). Many commercial ZNF385B antibodies are validated for Western Blot, while fewer are validated for applications like IHC or ICC .
Species reactivity: Confirm cross-reactivity with your target species. Some antibodies react only with human ZNF385B, while others cross-react with mouse, rat, bovine, and other species .
Epitope recognition: Consider which region of ZNF385B your experiment targets. Available antibodies recognize different epitopes including N-terminal, C-terminal, and internal regions .
Clonality consideration: Polyclonal antibodies offer broader epitope recognition but may have higher background, while monoclonal antibodies provide higher specificity for a single epitope .
Validation data: Review the manufacturer's validation data including Western blots and immunostaining images before purchase .
Optimal sample preparation depends on both the application and the subcellular localization of ZNF385B in the nucleus :
Use nuclear extraction protocols with protease inhibitors
Standard sample buffers containing SDS and reducing agents
Heat samples at 95°C for 5 minutes
Load 20-50 μg of protein per lane
PFA fixation with Triton X-100 permeabilization is recommended
Nuclear counterstaining is essential for colocalization assessment
ZNF385B has been observed to localize to nucleoli fibrillar centers in some cell lines
EDTA-based antigen retrieval methods are recommended
Optimizing Western blot protocols for ZNF385B detection requires addressing several critical factors:
Expected molecular weight: The canonical form of human ZNF385B is approximately 50.4 kDa , though the predicted molecular weight may vary between antibodies (some report ~39.3 kDa ). Be prepared to identify multiple bands representing the 5 known isoforms .
Use 5% non-fat dry milk or BSA in TBST
Antibody dilutions typically range from 0.04-0.4 μg/ml or 1:1000-1:5000
Secondary antibody selection should match the host species (commonly rabbit or mouse)
Extend transfer time for this relatively large protein
Consider low-methanol transfer buffers
Optimize exposure times to capture potentially weak signals in tissues with low expression
Positive controls: Cell lines with documented ZNF385B expression include U-251 MG, U-2 OS, and RT-4 . Human brain tissue lysates can also serve as positive controls.
Successful ICC/IF for ZNF385B requires addressing its nuclear localization pattern:
PFA fixation (4%) followed by Triton X-100 permeabilization provides optimal results
Methanol fixation may be an alternative for some antibodies
Ensure complete nuclear permeabilization for this nuclear protein
DAPI or Hoechst staining is essential for nucleus visualization
ZNF385B has been reported to localize to nucleoli fibrillar centers in U-2 OS cells
Look for punctate nuclear staining patterns rather than diffuse signals
Incubate overnight at 4°C for optimal results
Include appropriate blocking steps to minimize background
Include secondary-only controls to assess background
Consider siRNA knockdown of ZNF385B as a specificity control
Comprehensive validation is critical before using ZNF385B antibodies in significant research applications:
Western blot validation:
Verify single or expected multiple bands at predicted molecular weight (~50.4 kDa for canonical form)
Test in multiple cell lines with known expression
Include positive controls like brain tissue lysates
Genetic validation:
siRNA/shRNA knockdown to verify specificity
Overexpression systems to confirm detection
Peptide competition:
Cross-validation:
Compare results from multiple antibodies targeting different epitopes
Correlate protein detection with mRNA expression data
Document complete validation data in publications
Specify catalog numbers, dilutions, and precise protocols
Include all relevant controls in figures or supplementary materials
Recent studies have identified ZNF385B as a potential biomarker in multiple cancer types:
Downregulation observed in multiple cancers including brain, lung, kidney, and liver cancers
Correlation with survival also observed in renal cancer, liver cancer, and brain cancer
Strongly differentially expressed between moderately/poorly differentiated serous carcinomas, serous borderline ovarian tumors, and serous non-malignant ovaries
Associated with histological type, molecular subtype, ER status, PR status, vital status, and TNM stage in breast cancer
The table below summarizes key clinical correlations:
| Parameter | Correlation with low ZNF385B expression | P value |
|---|---|---|
| Histological type | Higher in infiltrating ductal carcinoma | <0.001 |
| ER status | Higher in ER-negative tumors | <0.001 |
| PR status | Higher in PR-negative tumors | <0.001 |
| Molecular subtype | Higher in basal subtype | <0.001 |
| TNM stage | Higher in advanced stages | 0.039 |
| Vital status | Associated with mortality | <0.001 |
Implementing ZNF385B antibodies in prognostic biomarker studies requires structured methodology:
Construct TMAs from tumor and adjacent normal tissues
Use optimized IHC protocols with ZNF385B antibodies
Evaluate nuclear staining intensity and percentage of positive cells
Correlate with clinical outcomes and survival data
Develop quantitative scoring systems (e.g., H-score = intensity × percentage)
Use digital pathology for standardized quantification
Establish clear cutoff values for "high" vs. "low" expression based on ROC curve analysis
Include multiple cohorts or independent validation sets
Correlate protein expression with ZNF385B mRNA levels
Perform multivariate analysis to assess independent prognostic value
Standardize pre-analytical variables (fixation time, processing)
Include appropriate positive and negative controls
Consider automated staining platforms for reproducibility
Use multiple antibodies targeting different epitopes for confirmation
Investigating ZNF385B function requires sophisticated approaches beyond basic detection:
Select antibodies specifically validated for ChIP applications
Optimize crosslinking and sonication conditions for nuclear proteins
Identify ZNF385B DNA binding sites and potential regulatory targets
Correlate with transcriptome data to identify regulated genes
Identify protein-protein interactions, particularly with p53/TP53
Use gentle lysis conditions to preserve nuclear protein complexes
Consider antibodies targeting different epitopes to avoid interference with protein interactions
Validate interactions through reverse Co-IP and other methods
Visualize and quantify ZNF385B interactions with candidate proteins
Optimize antibody combinations (species compatibility)
Demonstrate specificity through appropriate controls
Given ZNF385B's potential role in RNA processing , investigate RNA binding
Modified CLIP (crosslinking immunoprecipitation) protocols
Sequence associated RNAs to identify regulatory targets
Resolving detection discrepancies is critical for research reliability:
Different antibodies target distinct regions of ZNF385B
Some epitopes may be masked in protein complexes or specific isoforms
Compare results from antibodies targeting N-terminal, C-terminal, and internal regions
Determine which isoforms are recognized by each antibody
Consider isoform-specific qPCR to correlate with protein detection
Sample preparation variables:
Test multiple lysis buffers and extraction methods
Evaluate effects of different fixation protocols
Assess epitope masking through antigen retrieval optimization
Technical validation:
Knockout/knockdown controls for each antibody
Recombinant protein expression with tagged constructs
Mass spectrometry validation of detected bands
Cross-platform validation:
Correlate IHC with Western blot results
Verify subcellular localization patterns across methods
Compare antibody results with mRNA expression data
Investigating ZNF385B's role in p53-mediated apoptosis requires careful experimental design:
Cell lines with varying p53 status (wild-type, mutant, null)
ZNF385B knockout/knockdown and overexpression systems
Apoptosis induction models (DNA damage, oxidative stress)
Map interaction domains through truncation constructs
Assess effects of p53 activation on ZNF385B localization and expression
Apoptosis assays (Annexin V, TUNEL, caspase activation)
Cell cycle analysis after ZNF385B manipulation
p53 reporter assays to assess transcriptional effects
ChIP-seq to identify shared or distinct binding sites
RNA-seq to determine transcriptional consequences
Assess post-translational modifications of both proteins
Evaluate effects on p53 stability and nuclear localization
Developing multiplex panels requires addressing numerous technical considerations:
Select ZNF385B antibodies from different host species than other targets
Validate each antibody individually before multiplexing
Test for cross-reactivity between secondary antibodies
Consider directly conjugated primary antibodies to reduce complexity
Balance signal intensities across all markers
Optimize antibody concentrations to minimize bleed-through
Account for nuclear localization of ZNF385B when selecting other nuclear markers
Sequential staining may be necessary for some combinations
Include cell lineage markers alongside ZNF385B
Consider adding markers for proliferation or apoptosis based on ZNF385B's functions
For cancer tissues, include relevant diagnostic/prognostic markers
Automated multispectral imaging platforms are recommended
Implement proper spectral unmixing protocols
Include single-stained controls for each fluorophore
Use appropriate nuclear counterstains compatible with ZNF385B detection
Integrating ZNF385B analysis into single-cell methodologies opens new research avenues:
Microfluidic platforms for protein analysis at single-cell level
Optimization for nuclear proteins like ZNF385B
Correlation with single-cell RNA-seq data
Metal-conjugated ZNF385B antibodies for high-dimensional analysis
Integration with markers for cell lineage, cell cycle, and signaling pathways
Profiling heterogeneity in ZNF385B expression within tissues
Spatial analysis of ZNF385B in tissue context
Metal-labeled antibodies for multiplexed tissue imaging
Correlation with tissue architecture and microenvironment
Antibody specificity is even more critical in single-cell applications
Thorough validation in bulk assays before moving to single-cell platforms
Careful optimization of fixation and permeabilization for nuclear proteins
While cancer research dominates ZNF385B literature, emerging evidence suggests broader relevance:
ZNF385B is expressed in brain with potential roles in RNA maturation and stability
Consider experimental approaches for neuronal culture systems
Antibody applications in neurodevelopmental studies
Expression in lymph node germinal centers suggests immune functions
Potential applications in lymphocyte development studies
Considerations for flow cytometry panels in immune cell profiling
Limited exploration in non-malignant conditions
Potential for studying ZNF385B in tissue development and homeostasis
Opportunities for transgenic animal model development and characterization
Western blot inconsistencies with ZNF385B antibodies can be systematically addressed:
Verify if bands represent known isoforms (5 isoforms reported)
Test different sample preparation methods to reduce proteolysis
Compare results with antibodies targeting different epitopes
Consider phosphorylation or other post-translational modifications
Increase protein loading (50-100 μg for tissues with low expression)
Extend exposure time or use more sensitive detection systems
Verify expression in your sample type (highest in brain and lymph nodes)
Test alternative antibody concentrations (0.04-1 μg/ml range)
Optimize blocking conditions (5% BSA may be superior to milk for some antibodies)
Increase washing duration and stringency
Reduce primary and secondary antibody concentrations
Test alternative membrane types (PVDF vs. nitrocellulose)
Standardize lysate preparation methods
Use internal loading controls optimized for nuclear proteins
Consider positive control lysates from validated sources
Implement quantitative Western blot practices with appropriate normalization
Negative results require systematic investigation to determine whether they represent true biological findings or technical limitations:
Verify antibody functionality with positive controls
Confirm target expression at mRNA level
Test multiple antibodies targeting different epitopes
Consider alternative detection methods
Some applications may require specific antibody clones or formats
Nuclear proteins often require specialized extraction methods
Different fixation protocols may affect epitope accessibility
Consider native vs. denatured conditions for epitope recognition
Distinguish between absence of expression and technical limitations
Document all troubleshooting approaches in publications
Consider tissue-specific or context-dependent expression patterns
Evaluate possibility of developmental or condition-specific regulation