ZNF816 is encoded by the ZNF816 gene located on chromosome 19q13.41. It spans 35,746 base pairs and contains five exons, producing three transcript isoforms (Table 1) . The full-length protein (651 amino acids) includes a KRAB domain and C2H2 zinc fingers, enabling DNA binding and transcriptional repression .
| Isoform | mRNA Length (bp) | Exons | Protein Length (AA) | AC# |
|---|---|---|---|---|
| 1 | 2,711 | 5 | 651 | NM_001031665 |
| 2 | 2,570 | 4 | 651 | NM_001202456.3 |
| 3 | 2,560 | 4 | 651 | NM_001202457.3 |
Key Features:
ZNF816 Antibody is primarily polyclonal and rabbit-derived, optimized for human tissue analysis.
ZNF816 Antibody has revealed critical roles for ZNF816 in genomic regulation and disease contexts:
ZNF816 interacts with DNA repair machinery, such as XRCC4, to facilitate non-homologous end joining (NHEJ) . Overexpression correlates with poor prognosis in cancers (e.g., leukemia, solid tumors) .
KRAB-ZFPs like ZNF816 repress retrotransposons and viral genes (e.g., Kaposi’s sarcoma-associated herpesvirus) . Depletion in neurons induces interferon-stimulated genes (ISGs), suggesting antiviral roles .
ZNF816 (also known as ZNF816A or Zinc finger protein 816) is a protein involved in transcriptional regulation. It functions as part of a zinc finger protein complex that coordinates DNA-binding activities necessary for gene expression. ZNF816A is expressed in various tissues with notable levels observed in the brain and immune cells . The protein may be involved in regulating the expression of target genes, though specific transcriptional targets and regulatory pathways remain under investigation.
The research community has access to several ZNF816 antibody options with different applications and specifications:
ZNF816A shows a distinctive expression pattern across human tissues:
This expression pattern suggests ZNF816 may have specific roles in neural tissue, immune function, and potentially in certain cancer types.
For successful ZNF816 detection in paraffin-embedded tissues, researchers should consider the following protocol:
Sample preparation: Standard deparaffinization and rehydration
Antigen retrieval: Heat-induced epitope retrieval in citrate buffer (pH 6.0)
Blocking: 5-10% normal serum from the same species as the secondary antibody
Primary antibody: Dilute ZNF816 antibody at 1:100 dilution (optimal for ab234688)
Secondary detection: Use appropriate species-specific detection system
Visualization: DAB substrate for chromogenic detection or fluorescence imaging
Controls: Include negative controls (primary antibody omission) and positive controls (tissues with known ZNF816 expression)
Published research has successfully demonstrated ZNF816 staining in liver cancer and colon cancer tissues using this approach .
Comprehensive validation of ZNF816 antibodies should include:
Specificity testing:
Multiple antibodies targeting different epitopes
Knockdown/knockout controls (siRNA, CRISPR-Cas9)
Peptide competition assays
Western blot confirmation of specific band at predicted molecular weight
Application-specific validation:
For IHC: Compare staining patterns across multiple tissue types
For ICC/IF: Confirm expected subcellular localization (primarily nuclear)
For WB: Verify band size matches predicted molecular weight
For all applications: Include appropriate positive and negative controls
Cross-reactivity assessment:
Test in tissues/cells known to lack ZNF816 expression
Check for potential cross-reactivity with other zinc finger proteins
When designing multi-parameter studies involving ZNF816:
For immunofluorescence co-localization:
Select compatible primary antibodies (different host species)
Choose fluorophores with minimal spectral overlap
Optimize fixation and permeabilization for nuclear proteins
Perform sequential staining if antibody compatibility is limited
For flow cytometry:
Use appropriate fixation/permeabilization buffers for nuclear proteins
Include proper compensation controls for each fluorophore
Use FMO (fluorescence minus one) controls
Incorporate lineage markers to identify specific cell populations
For multiplexed IHC:
Consider sequential IHC with stripping or multispectral imaging approaches
Include single-stain controls for each antibody
Use automated image analysis software for quantification
To elucidate ZNF816's function in transcriptional regulation:
Chromatin Immunoprecipitation (ChIP):
Use ZNF816 antibodies to immunoprecipitate protein-DNA complexes
Perform ChIP-seq to identify genome-wide binding sites
Analyze binding motifs to determine DNA sequence preferences
Compare binding sites with genomic features (promoters, enhancers)
Protein interaction studies:
Use co-immunoprecipitation (Co-IP) with ZNF816 antibodies
Identify protein interaction partners via mass spectrometry
Validate interactions using reciprocal Co-IP or proximity ligation assays
Transcriptional analysis:
Modulate ZNF816 expression and perform RNA-seq
Correlate ZNF816 binding sites with expression changes
Use reporter gene assays to confirm direct regulation
When facing technical challenges with ZNF816 antibody applications:
For multi-omics integration involving ZNF816:
Correlative approaches:
Compare ZNF816 protein expression with corresponding mRNA levels
Investigate discrepancies that might indicate post-transcriptional regulation
Correlate with genomic alterations (mutations, CNVs) affecting ZNF816
Functional genomics:
Use ChIP-seq with ZNF816 antibodies to identify DNA binding sites
Integrate binding data with gene expression changes after ZNF816 modulation
Incorporate chromatin accessibility data (ATAC-seq) to assess binding context
System-level analysis:
Construct gene regulatory networks incorporating ZNF816
Identify co-regulated genes and pathways
Use machine learning approaches to predict ZNF816 function based on integrated data
For optimal detection of ZNF816 in cancer samples:
IHC protocol optimization:
Cancer-specific considerations:
Assess tumor heterogeneity by examining multiple regions
Correlate with tumor grade, stage, and molecular subtypes
Consider double staining with proliferation or differentiation markers
Quantification approaches:
Develop standardized scoring system for ZNF816 expression
Use digital pathology for objective quantification
Correlate expression with clinical parameters and outcomes
When analyzing ZNF816 localization:
Expected patterns:
Primary nuclear localization (consistent with transcription factor function)
Potential nucleolar or chromatin-associated distribution patterns
Possible cytoplasmic localization under specific conditions
Analytical approaches:
High-resolution confocal microscopy for detailed nuclear distribution
Co-staining with nuclear subcompartment markers
Quantitative analysis of nuclear vs. cytoplasmic distribution
Functional implications:
Changes in localization during cell cycle progression
Alterations in response to signaling events or stress
Correlation with transcriptional activity
For flow cytometry applications with ZNF816 antibodies:
Sample preparation:
Robust fixation (4% paraformaldehyde)
Effective nuclear permeabilization (methanol or commercial permeabilization buffers)
Single-cell suspension preparation
Staining protocol:
Titrate antibody to determine optimal concentration
Include unstained, isotype, and FMO controls
Consider sequential staining if combining with other nuclear markers
Analysis considerations:
Gate on single cells and viable populations
Set positive/negative thresholds using controls
Consider analyzing median fluorescence intensity rather than percent positive
Given the notable expression of ZNF816 in brain tissue , researchers might:
Investigate neuroanatomical distribution:
Map expression across brain regions using IHC with ZNF816 antibodies
Identify specific neuronal or glial populations expressing ZNF816
Analyze developmental expression patterns
Explore functional implications:
Study ZNF816 expression in neurological disease models
Examine regulation during neural development and plasticity
Investigate target genes in neural tissues through ChIP-seq
Apply in neurobiology research:
Use in co-localization studies with neural markers
Apply to patient-derived samples from neurological conditions
Incorporate into single-cell analysis of brain tissue
When developing custom ZNF816 antibodies:
Epitope selection strategies:
Target unique regions outside the zinc finger domains to avoid cross-reactivity
Consider known post-translational modification sites
Design epitopes based on predicted surface exposure
Account for potential structural constraints
Validation requirements:
Comprehensive specificity testing in multiple applications
Comparison with existing commercial antibodies
Validation in knockout/knockdown systems
Application-specific optimization
Specialized applications:
Super-resolution microscopy compatible antibodies
Directly conjugated antibodies for multiplexed imaging
ChIP-grade antibodies with high specificity and efficiency
Cross-species reactive antibodies for comparative studies