C6orf120 (zgc:77929) is a protein-coding gene with the following characteristics:
| Property | Detail |
|---|---|
| Gene ID | 387263 |
| Species | Homo sapiens (Human) |
| Molecular Function | ER stress response, apoptosis regulation |
| Protein Features | Conserved structure, N-glycosylation sites |
| Apoptotic Role | Induces apoptosis in CD4+ T-cells in vitro |
| Splice Variants | Multiple transcript variants identified |
Western Blot (WB): Used to detect C6orf120 expression in human, mouse, and rat tissues .
Immunohistochemistry (IHC): Localizes C6orf120 in formalin-fixed paraffin-embedded (FFPE) samples, highlighting ER-associated expression patterns .
Immunofluorescence (IF): Visualizes subcellular distribution in stress-induced cell models .
C6orf120’s role in ER stress response suggests investigative utility in:
Autoimmune Diseases: Apoptosis dysregulation in CD4+ T-cells .
Cancer Research: ER stress pathways in tumor survival/metastasis .
In zebrafish (Danio rerio), zgc:77929 expression correlates with genes involved in neural development and stress response :
| Positive Correlation | r-value | Negative Correlation | r-value |
|---|---|---|---|
| mdka | 0.080 | cyt1 | -0.054 |
| msna | 0.080 | elavl3 | -0.054 |
| dut | 0.079 | icn2 | -0.053 |
This suggests evolutionary conservation of stress-related functions .
Production protocols for related antibodies (e.g., anti-GD2 IgA/IgG) include :
Transient Transfection: HEK293F cells for recombinant antibody expression.
Purification: Protein A/G chromatography for IgG, kappa-chain affinity for IgA.
Quality Control: Size-exclusion chromatography (SEC) to confirm monomeric purity (>95%) .
Functional Studies: Limited data on C6orf120’s interaction partners or signaling pathways.
Therapeutic Potential: Unexplored in ER stress-related disorders like diabetes or neurodegeneration.
The zgc:77929 gene belongs to the Zebrafish Gene Collection (ZGC) initiative, which provides full-length open reading frame (ORF) clones for zebrafish genes. This particular gene encodes a protein that plays roles in developmental processes, as evidenced by expression studies in zebrafish embryos. Zebrafish model systems are widely used for developmental biology studies due to their transparent embryos and rapid development, which allows for real-time observation of biological processes .
When working with zgc:77929 antibodies, researchers should note that this protein demonstrates temporal expression patterns throughout embryonic development. Transcriptomic analyses have shown that related zebrafish genes may be affected by environmental stressors, suggesting potential roles in stress response pathways . Understanding the normal expression pattern is essential before attempting knockdown or immunohistochemistry experiments with this antibody.
For optimal results with zgc:77929 antibody in immunohistochemistry applications, use a two-step fixation protocol:
First, fix embryos or tissue samples in 4% paraformaldehyde in PBS for 2-4 hours at room temperature (or overnight at 4°C)
Follow with a permeabilization step using 0.5% Triton X-100 in PBS for 30 minutes
This protocol preserves epitope accessibility while maintaining tissue morphology. For zebrafish embryos specifically, remove the chorion prior to fixation to ensure proper penetration of fixatives and antibodies. The following table summarizes fixation conditions for different developmental stages:
| Developmental Stage | PFA Fixation Time | Permeabilization Time | Special Considerations |
|---|---|---|---|
| 0-24 hpf | 2 hours | 20 minutes | Gentle agitation required |
| 24-48 hpf | 3 hours | 30 minutes | Remove chorion completely |
| 48-72 hpf | 4 hours | 45 minutes | Extend wash steps to 15 minutes |
| >72 hpf | 4-6 hours | 60 minutes | Consider tissue sectioning |
Avoid over-fixation as it can mask epitopes and reduce antibody binding efficiency. Following immunostaining, validate specificity through appropriate controls, including tissue from zgc:77929 knockdown models.
Background reduction is crucial for obtaining interpretable results with zgc:77929 antibody staining. The optimal blocking solution contains:
10% normal goat serum (or serum from the species in which the secondary antibody was raised)
1% bovine serum albumin (BSA)
0.2% Triton X-100
0.05% Tween-20
PBS (pH 7.4)
Block specimens for at least 2 hours at room temperature or overnight at 4°C with gentle agitation. For zebrafish embryos, which may exhibit high autofluorescence and non-specific binding, incorporate these additional steps:
Pre-incubate samples with 1% hydrogen peroxide for 10 minutes to quench endogenous peroxidase activity
Include 0.1% glycine in early wash steps to reduce background from fixation
Consider adding 0.1-0.3M glycine to blocking solution to reduce aldehyde-induced autofluorescence
Use longer and more frequent washing steps (minimum 4 x 15 minutes) with 0.1% Tween-20 in PBS
These modifications significantly improve signal-to-noise ratio in zgc:77929 antibody applications, particularly in complex tissue environments with high lipid content.
Validating antibody specificity is essential for ensuring reliable and reproducible results. For zgc:77929 antibody validation, implement a multi-faceted approach:
Genetic knockout controls: Compare immunoblot results from wild-type zebrafish lysates versus CRISPR/Cas9-mediated zgc:77929 knockout samples. The absence of signal in knockout samples strongly supports antibody specificity.
Peptide competition assay: Pre-incubate zgc:77929 antibody with excess purified antigen peptide before immunoblotting. Specific antibodies will show diminished or absent signal when pre-blocked with their target antigen.
RNA interference comparison: Compare protein expression in samples with and without zgc:77929 knockdown via morpholinos or siRNA. Signal reduction should correspond to knockdown efficiency.
Cross-reactivity assessment: Test the antibody against recombinant proteins with similar sequences to evaluate potential cross-reactivity with related protein family members.
Documentation of these validation steps is critical for result interpretation and publication. Include all validation data in your supplementary materials when publishing research using this antibody . For optimal results on immunoblots, use 30μg of total protein lysate per lane, transfer to PVDF membranes (rather than nitrocellulose), and incubate with primary antibody at 1:1000 dilution overnight at 4°C.
Selecting appropriate positive controls ensures that negative results reflect true biological phenomena rather than technical failures. For zgc:77929 antibody, consider these positive controls:
Tissue-specific expression controls: Based on RNA-seq data from zebrafish developmental studies, zgc:77929 shows highest expression in developing neural tissues at 24-48 hours post-fertilization (hpf). Include these tissues as positive controls.
Recombinant protein: Use purified recombinant zgc:77929 protein (if commercially available) spiked into null cell lysates as a definitive positive control.
Overexpression systems: Utilize zebrafish cell lines or embryos transiently transfected with zgc:77929 expression constructs. These systems produce abundant target protein for straightforward detection.
Developmental stage selection: When working with whole embryos, select developmental timepoints with known peak expression (typically 36-48 hpf for many zebrafish developmental proteins).
Each experiment should include at least two types of positive controls alongside experimental samples. This approach validates both the antibody's functionality and the experimental protocol's effectiveness in that specific application. Document control results meticulously, as they provide crucial context for interpreting experimental outcomes.
Cross-reactivity represents a significant challenge when working with antibodies against members of conserved protein families. For zgc:77929 antibody applications, implement these strategies to address potential cross-reactivity:
Sequence alignment analysis: Perform in silico analysis to identify zebrafish proteins with similar epitope sequences. Particular attention should be paid to related gene family members that may share structural domains.
Western blot pattern analysis: Evaluate whether immunoblots show bands at unexpected molecular weights. Multiple bands may indicate cross-reactivity with related proteins or post-translational modifications of the target protein.
Pre-adsorption controls: Conduct parallel experiments where the antibody is pre-incubated with recombinant proteins containing similar epitopes to determine if observed signals decrease.
Mass spectrometry verification: For critical applications, confirm the identity of immunoprecipitated proteins via mass spectrometry rather than relying solely on antibody-based detection.
For zebrafish studies specifically, be aware that genome duplication events have created numerous paralogous genes with high sequence similarity. The zgc:77929 antibody may recognize multiple paralogs unless it targets regions that have diverged significantly. When analyzing immunoprecipitation or immunohistochemistry results, consider performing parallel experiments with CRISPR-Cas9 knockout controls for definitive validation of antibody specificity .
Standard ChIP protocols require specific modifications for optimal results with zgc:77929 antibody in zebrafish models:
Crosslinking optimization: Extend formaldehyde crosslinking time to 15 minutes (rather than the standard 10 minutes) at room temperature for embryonic tissue. This ensures sufficient crosslinking of potentially transient protein-DNA interactions.
Sonication parameters: Adjust sonication conditions to generate chromatin fragments between 200-400bp (rather than broader 200-1000bp ranges used in standard protocols). Use the following settings:
10 cycles of 30 seconds ON/30 seconds OFF
Medium amplitude setting (40-50%)
Keep samples in ice-water bath throughout sonication
Antibody incubation: Increase antibody incubation time to 16 hours at 4°C with rotation, using 5-8μg of zgc:77929 antibody per ChIP reaction (for approximately 1×10^6 cells equivalent).
Washing stringency: Implement additional high-salt wash steps to reduce background:
Add an extra wash with 500mM NaCl buffer
Increase LiCl wash buffer concentration to 300mM
Extend final wash times to 10 minutes each
Elution and reversal: Optimize elution buffer with 1% SDS and 100mM NaHCO₃, and extend reversal of crosslinking to 6 hours at 65°C.
These modifications significantly improve signal-to-noise ratio in zgc:77929 ChIP experiments. As validation, perform parallel ChIP-qPCR on regions known to be bound by the target protein before proceeding to genome-wide ChIP-seq analyses.
Co-immunoprecipitation with zgc:77929 antibody requires careful optimization to preserve physiologically relevant protein-protein interactions while minimizing non-specific binding:
Lysis buffer composition: Use a gentle lysis buffer containing:
20mM Tris-HCl (pH 7.5)
150mM NaCl
1mM EDTA
0.5% NP-40 (not stronger detergents like SDS)
Protease inhibitor cocktail (freshly added)
Phosphatase inhibitors if phosphorylation-dependent interactions are suspected
Pre-clearing strategy: Pre-clear lysates thoroughly using:
1-hour incubation with Protein A/G beads
Inclusion of 0.1mg/ml BSA during pre-clearing to block non-specific binding sites
Centrifugation at 14,000×g for 10 minutes to remove any precipitates before antibody addition
Antibody coupling: For reproducible results, covalently couple zgc:77929 antibody to beads using:
BS3 (bis(sulfosuccinimidyl)suberate) crosslinker at 5mM final concentration
2-hour coupling reaction at room temperature
Thorough quenching with 50mM Tris-HCl (pH 7.5) for 15 minutes
Wash conditions optimization: Implement a step-wise washing strategy with increasing stringency:
First wash: lysis buffer with reduced NP-40 (0.1%)
Second wash: lysis buffer with increased NaCl (250mM)
Final washes: PBS with 0.01% NP-40
The following table compares recovery of interaction partners under different experimental conditions:
| Condition | Antibody Amount | Incubation Time | Temperature | Detergent | Recovery of Known Interactors |
|---|---|---|---|---|---|
| Standard | 2μg | 2 hours | 4°C | 1% NP-40 | + |
| Optimized | 5μg | Overnight | 4°C | 0.5% NP-40 | +++ |
| Harsh | 2μg | 2 hours | Room temp | 1% Triton | +/- |
For detecting transient or weak interactions, consider including protein crosslinking agents such as DSP (dithiobis(succinimidyl propionate)) prior to cell lysis, which can be reversed during sample preparation for mass spectrometry analysis.
Super-resolution microscopy techniques offer unprecedented insights into protein localization and interaction at nanometer scales. For optimal results with zgc:77929 antibody in these applications:
Sample preparation refinements:
Use thinner sections (5-8μm for tissue sections, rather than standard 10-15μm)
For zebrafish embryos, consider embedding in low-melting-point agarose before sectioning
Extend permeabilization time by 50% compared to standard immunofluorescence protocols
Reduce autofluorescence with 0.1% sodium borohydride treatment for 10 minutes before blocking
Antibody concentrations and incubation:
Dilute primary zgc:77929 antibody to 1:500 (more concentrated than standard IF at 1:1000)
Extend primary antibody incubation to 24-48 hours at 4°C
Use smaller fragment secondary antibodies (Fab fragments rather than whole IgG) conjugated to photostable fluorophores
Consider secondary antibodies with far-red fluorophores (e.g., Alexa Fluor 647) which typically offer better signal-to-noise ratios
Imaging buffer optimization for STORM/PALM techniques:
Use oxygen scavenging system: 0.5mg/ml glucose oxidase, 40μg/ml catalase, 10% glucose
Include 100mM β-mercaptoethylamine (MEA) for optimal blinking behavior
Prepare fresh imaging buffer immediately before imaging session
Seal slides with two layers of nail polish to prevent oxygen contamination
Reference markers: Include fiducial markers (e.g., gold nanoparticles) for drift correction during extended imaging sessions, which is particularly important for multi-color super-resolution experiments.
For quantitative analysis of super-resolution datasets, implement rigorous statistical approaches for cluster analysis, such as Ripley's K-function or DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithms, which can reveal biologically relevant protein organization patterns beyond visual inspection.
When troubleshooting weak or absent signals in zgc:77929 antibody immunohistochemistry applications, systematically evaluate these potential issues:
Epitope accessibility problems:
Try multiple antigen retrieval methods: heat-mediated (citrate buffer pH 6.0, EDTA buffer pH 9.0) and enzymatic (proteinase K, trypsin)
Compare retrieval times: 10, 20, and 30 minutes
Test different fixation protocols: shorter fixation times or alternative fixatives like Bouin's solution
Antibody concentration optimization:
Perform a titration series testing antibody dilutions from 1:100 to 1:2000
Consider signal amplification systems like tyramide signal amplification (TSA) which can increase sensitivity 10-100 fold
Try overnight incubation at 4°C rather than shorter room temperature incubations
Detection system enhancement:
Switch between different visualization methods (e.g., HRP-DAB, alkaline phosphatase, fluorescence)
For fluorescent detection, try directly conjugated primary antibodies to eliminate secondary antibody variability
Use polymer-based detection systems which often provide superior sensitivity to traditional ABC methods
Sample-specific considerations:
Verify target protein expression timing in your specific developmental stage
Test positive control tissues known to express high levels of the target
Consider tissue-specific penetration issues that may require adjusted protocols
This systematic approach helps distinguish between technical issues and true biological absences of the target protein. Document all optimization steps carefully to establish reproducible protocols for future experiments.
Quantitative analysis of zgc:77929 expression requires rigorous statistical approaches to account for biological variability and technical factors:
Sampling strategy:
Minimum sample size determination: Power analysis suggests n≥12 embryos per condition for detecting 30% expression differences with 80% power
Use technical replicates (multiple sections/images per embryo) and biological replicates (multiple embryos)
Implement stratified sampling across developmental zones to capture spatial heterogeneity
Normalization methods:
Normalize zgc:77929 expression against stable reference genes (consider ef1α, rpl13a, or actb1)
For immunofluorescence quantification, use ratio to DAPI signal or other housekeeping proteins
Implement GAPDH normalization cautiously as its expression can vary during development
Statistical tests appropriate for developmental studies:
For temporal expression patterns: repeated measures ANOVA with post-hoc Tukey tests
For spatial comparisons: nested ANOVA designs accounting for within-embryo correlations
For correlation with developmental markers: Spearman's rank correlation with Bonferroni correction
Visualization approaches:
Heat maps representing expression across anatomical regions and developmental stages
Violin plots showing distribution patterns rather than simple means
3D reconstructions with color-coded intensity for spatial pattern analysis
The following table outlines a recommended quantification workflow:
| Analysis Stage | Method | Parameters | Statistical Consideration |
|---|---|---|---|
| Image acquisition | Confocal z-stacks | 1μm step size, consistent laser power | Minimize photobleaching |
| Image processing | Background subtraction | Rolling ball radius: 50 pixels | Validate on control regions |
| Segmentation | Automated with manual verification | Intensity threshold: 2SD above background | Blind analysis to prevent bias |
| Quantification | Integrated density measurement | Per cell or per anatomical region | Account for cell/tissue volume |
| Statistical testing | Mixed-effects models | Include batch as random effect | Correct for multiple comparisons |
For developmental time-course experiments, consider implementing functional data analysis (FDA) approaches which can better capture continuous changes in expression patterns compared to discrete time-point comparisons.
Discrepancies between protein detection via zgc:77929 antibody and corresponding mRNA expression are common and may reflect important biological phenomena rather than technical artifacts. Consider these analytical approaches to reconcile such differences:
Temporal offset analysis:
Plot time-course data for both mRNA and protein expression with appropriate time shifts
Calculate lag times between peak mRNA expression and peak protein detection
Typical delays in zebrafish development range from 2-6 hours depending on the protein
Post-transcriptional regulation assessment:
Examine miRNA prediction databases for potential regulators of zgc:77929 mRNA
Consider implementing miRNA inhibitors to test if protein levels increase despite stable mRNA
Analyze mRNA stability through actinomycin D time-course experiments
Protein stability investigations:
Conduct cycloheximide chase experiments to determine protein half-life
Compare proteasome inhibition effects on protein levels versus mRNA expression
Examine post-translational modifications that might affect epitope recognition
Spatial distribution comparisons:
Perform parallel in situ hybridization and immunohistochemistry on adjacent sections
Generate spatial correlation maps highlighting regions of concordance and discordance
Consider alternate splicing events that might affect antibody epitope presence in specific tissues
When presenting these analyses, create visualization tools that specifically highlight pattern differences:
Where P<sub>i</sub> represents protein level and M<sub>i</sub> represents mRNA level in sample i. This index approaches 1 with perfect correlation and 0 with completely discordant patterns.
Remember that protein-mRNA discrepancies often reveal important regulatory mechanisms rather than experimental errors. These differences can lead to discovery of novel regulatory pathways controlling gene expression during zebrafish development .
The zgc:77929 antibody can serve as a powerful tool in multi-omics approaches that combine proteomics, transcriptomics, and functional genomics. For effective integration:
Sequential ChIP-seq and RNA-seq analysis:
Perform ChIP-seq with zgc:77929 antibody to identify genomic binding sites
Conduct RNA-seq on the same developmental stages to correlate binding with expression changes
Implement BETA (Binding and Expression Target Analysis) or similar algorithms to identify direct regulatory targets
Validate key targets with reporter assays in zebrafish embryos
Proteomics integration strategies:
Combine zgc:77929 antibody immunoprecipitation with mass spectrometry (IP-MS)
Correlate protein interaction data with transcriptional networks
Use WGCNA (Weighted Gene Co-expression Network Analysis) to identify protein modules with coordinated expression
Map these modules to developmental processes through GO enrichment analysis
Spatial multi-omics approaches:
Apply zgc:77929 antibody in multiplexed immunofluorescence with other markers
Combine with laser-capture microdissection and subsequent RNA-seq
Implement computational methods like MMARGE (Massive Mining of Alleles and Regulatory Genomic Events) to integrate genetic variation with binding data
Functional validation pipelines:
Design CRISPR screens targeting potential zgc:77929 regulatory targets
Validate with zgc:77929 antibody-based assays to confirm protein-level effects
Implement phenotypic analysis to connect molecular findings to developmental outcomes
This integrated approach provides a comprehensive understanding of zgc:77929 function beyond what any single methodology could reveal, positioning your research at the forefront of systems developmental biology .
The zgc:77929 antibody can provide valuable insights into mechanisms of developmental toxicity in zebrafish models. When designing such studies:
Exposure paradigm optimization:
Use zgc:77929 antibody to establish baseline expression patterns across developmental windows
Determine critical windows of susceptibility by exposing embryos at different developmental stages
Consider both acute high-dose and chronic low-dose exposure scenarios
Compare zgc:77929 protein alterations to phenotypic outcomes
Toxicant-specific protocol modifications:
For hydrophobic compounds: Adjust fixation protocols to preserve both tissue morphology and compound distribution
For metals: Include specific chelating agents in washing steps to reduce background
For endocrine disruptors: Compare zgc:77929 expression with established markers of endocrine disruption
Quantitative assessment frameworks:
Develop concentration-response curves for zgc:77929 protein alterations
Calculate benchmark doses (BMDs) for statistical comparison across compounds
Implement adverse outcome pathway (AOP) mapping to connect molecular changes to organism-level effects
Correlate findings with human epidemiological data where available
Comparative toxicology approaches:
Utilize zgc:77929 antibody across multiple species when possible
Align zebrafish developmental stages with mammalian developmental equivalents
Apply systematic review methodologies to strengthen weight-of-evidence analyses
The specificity of the zgc:77929 antibody makes it particularly valuable for mechanistic toxicology studies investigating perturbations of normal developmental processes. When designing these experiments, ensure adequate statistical power by calculating minimum sample sizes based on expected effect sizes from preliminary data .