zgc:77929 Antibody

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Description

Target Protein Overview

C6orf120 (zgc:77929) is a protein-coding gene with the following characteristics:

PropertyDetail
Gene ID387263
SpeciesHomo sapiens (Human)
Molecular FunctionER stress response, apoptosis regulation
Protein FeaturesConserved structure, N-glycosylation sites
Apoptotic RoleInduces apoptosis in CD4+ T-cells in vitro
Splice VariantsMultiple transcript variants identified

Diagnostic and Mechanistic Studies

  • 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 .

Functional Insights

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 .

Gene Expression Correlations

In zebrafish (Danio rerio), zgc:77929 expression correlates with genes involved in neural development and stress response :

Positive Correlationr-valueNegative Correlationr-value
mdka0.080cyt1-0.054
msna0.080elavl3-0.054
dut0.079icn2-0.053

This suggests evolutionary conservation of stress-related functions .

Antody Development and Validation

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%) .

Research Gaps and Future Directions

  • Functional Studies: Limited data on C6orf120’s interaction partners or signaling pathways.

  • Therapeutic Potential: Unexplored in ER stress-related disorders like diabetes or neurodegeneration.

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
zgc:77929UPF0669 protein C6orf120 homolog antibody
Target Names
zgc:77929
Uniprot No.

Target Background

Database Links
Protein Families
UPF0669 family
Subcellular Location
Secreted.

Q&A

What is the zgc:77929 gene and its protein product in zebrafish models?

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.

What are the recommended fixation methods for immunohistochemistry using zgc:77929 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 StagePFA Fixation TimePermeabilization TimeSpecial Considerations
0-24 hpf2 hours20 minutesGentle agitation required
24-48 hpf3 hours30 minutesRemove chorion completely
48-72 hpf4 hours45 minutesExtend wash steps to 15 minutes
>72 hpf4-6 hours60 minutesConsider 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.

What are appropriate blocking conditions to reduce background when using zgc:77929 antibody?

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.

How can researchers validate the specificity of zgc:77929 antibody for immunoblotting applications?

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.

What are the best positive controls for confirming zgc:77929 antibody functionality?

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.

How should researchers address potential cross-reactivity issues with zgc:77929 antibody?

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 .

What modifications to chromatin immunoprecipitation (ChIP) protocols are necessary for zgc:77929 antibody?

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.

How can researchers optimize co-immunoprecipitation (Co-IP) protocols for identifying zgc:77929 protein interaction partners?

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:

ConditionAntibody AmountIncubation TimeTemperatureDetergentRecovery of Known Interactors
Standard2μg2 hours4°C1% NP-40+
Optimized5μgOvernight4°C0.5% NP-40+++
Harsh2μg2 hoursRoom temp1% 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.

What are effective strategies for using zgc:77929 antibody in super-resolution microscopy applications?

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.

How should researchers address weak or absent signals when using zgc:77929 antibody in immunohistochemistry?

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.

What statistical approaches are recommended for quantifying zgc:77929 expression patterns in zebrafish development?

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 StageMethodParametersStatistical Consideration
Image acquisitionConfocal z-stacks1μm step size, consistent laser powerMinimize photobleaching
Image processingBackground subtractionRolling ball radius: 50 pixelsValidate on control regions
SegmentationAutomated with manual verificationIntensity threshold: 2SD above backgroundBlind analysis to prevent bias
QuantificationIntegrated density measurementPer cell or per anatomical regionAccount for cell/tissue volume
Statistical testingMixed-effects modelsInclude batch as random effectCorrect 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.

How can researchers reconcile contradictory results between zgc:77929 antibody-based detection and mRNA expression data?

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:

Concordance Index=i=1n(Pi×Mi)i=1nPi2×i=1nMi2\text{Concordance Index} = \frac{\sum_{i=1}^{n}(P_i \times M_i)}{\sqrt{\sum_{i=1}^{n}P_i^2 \times \sum_{i=1}^{n}M_i^2}}

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 .

How can zgc:77929 antibody be effectively utilized in multi-omics integration studies?

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 .

What are the considerations for using zgc:77929 antibody in developmental toxicology research models?

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 .

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