The identifier zgc:112185 corresponds to a zebrafish (Danio rerio) gene annotated in the Daniocell database . This gene is associated with specific expression patterns and correlations with other genes (e.g., npm1a, nop58, dkc1), but no antibody targeting its protein product is described in the provided sources or public repositories.
| Positive Correlation (r-value) | Negative Correlation (r-value) |
|---|---|
| npm1a (0.181) | ccni (-0.073) |
| nop58 (0.178) | stmn1b (-0.073) |
| dkc1 (0.173) | rtn1a (-0.072) |
| fbl (0.170) | elavl3 (-0.071) |
| snu13b (0.168) | pvalb1 (-0.070) |
This table highlights genes co-expressed with zgc:112185 across zebrafish cells .
Antibodies are typically named after their target antigens (e.g., ATP5H ), epitopes (e.g., SARS-CoV-2 RBD-targeting C118/C022 ), or commercial catalog identifiers (e.g., Sigma-Aldrich’s anti-IgG antibodies ). None of the reviewed sources—including academic publications, antibody vendors (Thermo Fisher , Sino Biological ), or databases (Daniocell )—mention an antibody linked to zgc:112185.
The term "zgc:112185 Antibody" may stem from:
Gene-product confusion: Zebrafish genes like zgc:112185 encode proteins that could theoretically be targeted by antibodies, but no such reagent is documented in the reviewed literature.
Unpublished research: Antibodies under development may not yet be cataloged or published.
To resolve ambiguities:
Verify the target protein encoded by zgc:112185 and cross-reference with antibody databases (e.g., CiteAb, Antibody Registry).
Contact zebrafish research consortia (e.g., ZFIN) for unpublished antibody data.
Explore CRISPR-based tagging or custom antibody generation if the target is novel.
While zgc:112185 Antibody remains uncharacterized, recent advances in antibody engineering (e.g., broadly neutralizing anti-SARS-CoV-2 SC27 ) demonstrate methodologies applicable to novel targets:
zgc:112185 is a zebrafish (Danio rerio) gene that encodes a protein homologous to the human C8orf33 (Chromosome 8 Open Reading Frame 33) protein. The protein belongs to the UPF0488 family, which remains functionally characterized but is conserved across vertebrate species. Its significance in research stems from its potential role as a model for studying the human ortholog C8orf33, particularly in developmental biology and comparative genomics. The gene shows strong correlation with nucleolar proteins involved in ribosome biogenesis, suggesting a possible role in RNA processing or protein synthesis . Research on zgc:112185 contributes to understanding evolutionary conservation of gene function across vertebrate species and potentially elucidating novel cellular pathways.
zgc:112185 is the zebrafish homolog of human C8orf33, demonstrating evolutionary conservation across vertebrate lineages that diverged approximately 450 million years ago. The protein belongs to the UPF0488 family and shares significant sequence homology with its human counterpart, particularly in functional domains. Gene expression correlation analysis reveals that zgc:112185 is positively correlated with genes involved in nucleolar functions and ribosome biogenesis (correlation coefficients ranging from 0.131-0.181 with genes like npm1a, nop58, and dkc1), suggesting conservation of both structure and function . This evolutionary conservation makes zebrafish an excellent model organism for studying the fundamental biological roles of this gene family before extrapolating findings to mammalian systems, particularly for developmental processes.
The expression pattern of zgc:112185 during zebrafish development follows a specific temporal and spatial profile that correlates with nucleolar and ribosome biogenesis genes. Expression correlation data shows highest positive correlation with npm1a (r=0.181), nop58 (r=0.178), and dkc1 (r=0.173), all critical for ribosome assembly and nucleolar function . Notably, the gene shows negative correlation with neuronal markers (elavl3, r=-0.071) and structural proteins (stmn1b, r=-0.073), suggesting tissue-specific regulation . While the search results don't provide stage-specific expression profiles, the correlation pattern suggests zgc:112185 may be particularly active in rapidly proliferating cells during early development when ribosome biogenesis is crucial, rather than in terminally differentiated tissues like neurons where protein synthesis is more specialized.
The commercially available zgc:112185 antibody (e.g., CSB-PA685585XA01DIL) is a polyclonal antibody raised in rabbits against recombinant Danio rerio zgc:112185 protein. This antibody is specifically reactive with zebrafish (Danio rerio) samples and has been validated for experimental applications including ELISA and Western blotting (WB). The antibody is supplied in liquid form with a storage buffer composed of 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative . The polyclonal nature provides recognition of multiple epitopes on the target protein, potentially increasing detection sensitivity, though with possible increased background compared to monoclonal alternatives. The antibody has been purified using antigen affinity methods to enhance specificity and reduce non-specific binding .
To rigorously validate zgc:112185 antibody specificity, researchers should employ a multi-faceted approach:
Positive and negative controls: Compare antibody reactivity in tissues/cells known to express zgc:112185 versus those with minimal expression, based on correlation data showing high expression in rapidly dividing cells .
Knockdown/knockout validation: Use morpholino knockdown or CRISPR/Cas9 knockout of zgc:112185 in zebrafish to confirm signal reduction/elimination in Western blot and immunostaining.
Preabsorption test: Pre-incubate the antibody with excess purified recombinant zgc:112185 protein before application to verify signal elimination.
Molecular weight verification: Confirm that the detected protein band appears at the expected molecular weight for zgc:112185.
Cross-reactivity assessment: Test reactivity against closely related proteins, particularly human C8orf33, to determine specificity .
These validation steps are crucial for ensuring experimental reproducibility and avoiding misinterpretation of results in both basic and translational research applications.
The commercially available zgc:112185 antibody is a polyclonal reagent raised in rabbits . While monoclonal alternatives are not explicitly mentioned in the search results, their theoretical comparison reveals important differences:
The polyclonal zgc:112185 antibody offers several advantages: (1) Recognition of multiple epitopes, increasing detection sensitivity particularly in applications where protein conformation may vary; (2) Greater tolerance to minor protein denaturation or modification; and (3) Typically stronger signal generation due to multiple binding sites per target protein.
For applications requiring absolute specificity or clinical development, a monoclonal antibody would offer advantages in reproducibility and specificity, while the current polyclonal reagent may be preferable for detection of low-abundance targets or when protein conformation varies between experimental conditions.
The optimal Western blotting protocol for zgc:112185 antibody should be tailored to the specific characteristics of this polyclonal reagent:
Sample Preparation:
Extract proteins from zebrafish tissues or cells using a RIPA buffer supplemented with protease inhibitors
Quantify protein concentration using Bradford or BCA assay
Denature 20-40 μg protein in Laemmli buffer at 95°C for 5 minutes
Gel Electrophoresis and Transfer:
Separate proteins on 10-12% SDS-PAGE (based on the predicted molecular weight)
Transfer to PVDF membrane (0.45 μm) using semi-dry or wet transfer
Immunodetection:
Block membrane with 5% non-fat milk in TBST for 1 hour at room temperature
Incubate with zgc:112185 antibody at 1:500-1:1000 dilution in blocking buffer overnight at 4°C
Wash 3× with TBST, 10 minutes each
Incubate with HRP-conjugated anti-rabbit secondary antibody (1:5000) for 1 hour
Wash 3× with TBST, 10 minutes each
Develop using ECL reagent and image
Critical Considerations:
Include positive controls (tissue with known expression)
Include negative controls (morpholino knockdown samples)
Confirm band size against predicted molecular weight
Optimize antibody concentration if background is high
This protocol maximizes sensitivity while minimizing non-specific binding for reproducible results with the polyclonal zgc:112185 antibody.
While the search results specifically validate the zgc:112185 antibody for ELISA and Western blot applications , immunohistochemistry (IHC) protocols can be adapted based on general principles for polyclonal antibodies against nuclear or nucleolar proteins:
Sample Preparation:
Fix zebrafish embryos or tissue sections in 4% paraformaldehyde for 24 hours
Process, embed in paraffin, and section at 5-7 μm thickness
Mount sections on positively charged slides
Antigen Retrieval and Staining:
Deparaffinize and rehydrate sections
Perform heat-induced epitope retrieval in citrate buffer (pH 6.0) for 20 minutes
Cool slides gradually to room temperature
Block endogenous peroxidase with 3% H₂O₂ for 10 minutes
Block non-specific binding with 5% normal goat serum for 1 hour
Incubate with zgc:112185 antibody at 1:100-1:200 dilution overnight at 4°C
Wash 3× with PBS, 5 minutes each
Apply HRP-conjugated secondary antibody for 1 hour
Develop with DAB and counterstain with hematoxylin
Optimization Strategies:
Test multiple dilutions (1:50-1:500) to determine optimal signal-to-noise ratio
Include known positive tissue (based on correlation data from search result )
Run parallel negative controls (primary antibody omission and pre-immune serum)
Validate specificity through morpholino knockdown controls
This methodology should be considered preliminary and requires validation, as IHC application is not explicitly confirmed in the product specifications.
When designing co-localization studies with zgc:112185 antibody, researchers should consider the following research-specific factors:
Selection of Co-localization Partners:
Based on correlation data from the search results , zgc:112185 shows strong positive correlation with nucleolar proteins involved in ribosome biogenesis (npm1a, r=0.181; nop58, r=0.178; dkc1, r=0.173). These represent ideal candidates for co-localization studies to confirm functional associations.
Technical Considerations:
Antibody Compatibility: The zgc:112185 antibody is raised in rabbit , necessitating co-staining antibodies from different host species (mouse, goat, etc.) to avoid cross-reactivity.
Signal Discrimination: Select fluorophores with minimal spectral overlap (e.g., Alexa 488 for zgc:112185 and Alexa 594 for nucleolar markers).
Sequential Staining: Consider sequential rather than simultaneous antibody application if steric hindrance occurs with closely positioned epitopes.
Controls: Include single-stained samples to confirm absence of bleed-through between channels.
Advanced Analysis Methods:
Employ quantitative co-localization metrics (Pearson's correlation coefficient, Manders' overlap coefficient)
Use super-resolution microscopy techniques (STED, STORM) for proteins with close spatial relationships
Confirm functional associations through proximity ligation assay (PLA) as a complementary approach
These considerations will maximize the reliability of co-localization studies investigating zgc:112185's interactions with proteins involved in nucleolar function or other cellular pathways.
When working with zgc:112185 antibody, researchers may encounter several challenges based on its characteristics as a polyclonal antibody against a zebrafish protein:
Cause: Inadequate blocking or high antibody concentration
Solution: Increase blocking time to 2 hours, optimize antibody dilution (test 1:250-1:2000 range), add 0.1-0.3% Triton X-100 to reduce non-specific binding, and increase wash duration/frequency
Cause: Insufficient antigen, epitope masking, or protein degradation
Solution: Optimize antigen retrieval methods (test both heat-induced and enzymatic retrieval), increase antibody concentration, extend primary antibody incubation to 48 hours at 4°C, and ensure sample contains the target protein by checking transcriptomic data
Cause: Antibody recognizing epitopes shared with related proteins
Solution: Pre-absorb antibody with recombinant related proteins, perform stringent washing with higher salt concentration, and validate specificity through knockdown controls
Cause: Inherent to polyclonal antibodies
Solution: Purchase larger lots for long-term projects, validate each new lot against previous lots, and maintain detailed records of optimal conditions for each batch
These troubleshooting approaches should be systematically tested and documented to establish robust protocols for zgc:112185 antibody applications.
While the zgc:112185 antibody has not been specifically validated for chromatin immunoprecipitation sequencing (ChIP-seq) , its correlation with nucleolar proteins suggests potential roles in DNA/RNA binding or processing. A specialized protocol would include:
Chromatin Preparation:
Crosslink zebrafish embryos or cells with 1% formaldehyde for 10 minutes
Quench with 125 mM glycine for 5 minutes
Isolate nuclei and sonicate chromatin to 200-500 bp fragments
Verify fragmentation by agarose gel electrophoresis
Immunoprecipitation Optimization:
Pre-clear chromatin with protein A/G beads
Test multiple antibody concentrations (2-10 μg per reaction)
Immunoprecipitate overnight at 4°C with rotation
Include IgG control and positive control antibody (e.g., H3K4me3)
Stringent Washing and Elution:
Implement progressively stringent wash steps (low salt, high salt, LiCl)
Elute DNA-protein complexes with SDS elution buffer
Reverse crosslinks at 65°C overnight
Purify DNA with phenol-chloroform extraction
Validation Steps:
Confirm enrichment by qPCR prior to sequencing
Select targets based on RNA processing genes that show correlation with zgc:112185
Analyze sequencing data against zebrafish genome (GRCz11/danRer11)
Compare binding sites with known nucleolar-associated domains
This specialized protocol acknowledges the exploratory nature of zgc:112185 ChIP-seq while incorporating controls necessary for distinguishing specific from non-specific binding events.
Investigating post-translational modifications (PTMs) of zgc:112185 requires specialized approaches beyond standard antibody applications:
Mass Spectrometry-Based Detection:
Separate proteins by SDS-PAGE and excise bands at and around expected molecular weight
Perform tryptic digestion followed by LC-MS/MS analysis
Search against custom databases including common PTMs (phosphorylation, acetylation, ubiquitination, methylation)
Validate findings with targeted Multiple Reaction Monitoring (MRM)
Modification-Specific Detection Methods:
Phosphorylation: Treat samples with phosphatase inhibitors during preparation, use Phos-tag gels to separate phosphorylated forms
Acetylation: Include deacetylase inhibitors during extraction, probe with pan-acetyl-lysine antibodies
Ubiquitination: Add deubiquitinating enzyme inhibitors, detect with anti-ubiquitin antibodies
Functional Validation:
Generate point mutations at identified modification sites
Assess impacts on protein localization, interaction partners, and function
Employ proximity labeling (BioID, APEX) to identify enzymes responsible for modifications
Comparative Analysis:
Examine conservation of modification sites between zgc:112185 and human C8orf33 to identify evolutionarily conserved regulatory mechanisms
These complementary approaches would provide comprehensive characterization of zgc:112185 PTMs, potentially revealing regulatory mechanisms controlling its nucleolar association and function.
The correlation analysis data reveals that zgc:112185 operates within a specific gene network strongly associated with nucleolar function and ribosome biogenesis. The strongest positive correlations exist with npm1a (r=0.181), nop58 (r=0.178), dkc1 (r=0.173), fbl (r=0.170), and snu13b (r=0.168) . This pattern suggests zgc:112185 likely participates in:
Ribosomal RNA Processing: The strong correlation with nop58, fbl, and snu13b (all components of the box C/D snoRNP complex involved in rRNA methylation) suggests zgc:112185 may function in rRNA modification or processing pathways.
Nucleolar Structure Maintenance: Correlation with npm1a (nucleophosmin) points to potential roles in nucleolar assembly or organization.
Cell Cycle Regulation: Several correlated genes (ncl, gnl3) have established roles in cell proliferation and cell cycle progression.
Conversely, zgc:112185 shows negative correlations with neuron-specific genes (elavl3, r=-0.071; rtn1a, r=-0.072) , suggesting downregulation during neuronal differentiation. This correlation network provides a framework for hypothesis generation, suggesting zgc:112185 functions primarily in undifferentiated or proliferating cells rather than terminally differentiated neurons, likely contributing to fundamental processes in ribosome biogenesis.
To advance translational understanding of zgc:112185/C8orf33 function, several comparative studies between zebrafish and human systems would be valuable:
1. Structure-Function Analysis:
Compare protein domains and motifs between species
Generate chimeric proteins swapping functional domains
Assess conservation of protein-protein interaction networks
2. Cross-Species Rescue Experiments:
Determine if human C8orf33 can rescue zgc:112185 knockdown phenotypes in zebrafish
Analyze whether zgc:112185 can complement C8orf33 knockdown in human cell lines
Identify functionally conserved regions through domain-specific rescue experiments
3. Comparative Expression and Regulation:
Compare spatiotemporal expression patterns during development
Identify conserved transcription factor binding sites in promoter regions
Analyze conservation of post-translational modifications between orthologs
4. Disease Model Development:
Generate zebrafish models mimicking human C8orf33 disease-associated mutations
Perform high-throughput drug screening using zebrafish disease models
Validate findings in patient-derived cells or mouse models
These comparative approaches would leverage the experimental advantages of the zebrafish system (rapid development, transparent embryos, genetic tractability) while establishing translational relevance to human biology and disease .
Several innovative methodological approaches could overcome current limitations in zgc:112185 antibody applications:
1. Epitope Tagging for Enhanced Detection:
Generate CRISPR/Cas9 knock-in zebrafish lines with epitope-tagged zgc:112185 (HA, FLAG, V5)
Utilize commercially validated tag-specific antibodies to overcome specificity issues
Enable super-resolution microscopy with smaller tag-specific antibodies
2. Proximity Labeling Technologies:
Develop TurboID or APEX2 fusion constructs with zgc:112185
Map protein interaction networks in living zebrafish cells
Identify transient interactions missed by conventional co-immunoprecipitation
3. Single-Cell Approaches:
Implement CyTOF or CODEX for multiplexed protein detection at single-cell resolution
Correlate zgc:112185 protein levels with cell-state markers
Integrate with single-cell transcriptomics to connect protein expression with gene networks
4. Live-Cell Imaging Strategies:
Create fluorescent protein fusions (GFP-zgc:112185) for dynamic studies
Implement split-GFP complementation to visualize protein interactions in vivo
Utilize FRET/FLIM to detect conformational changes or protein-protein interactions
5. Alternative Affinity Reagents:
Develop nucleic acid aptamers specific to zgc:112185
Generate nanobodies or affimers with improved tissue penetration
Implement recombinant antibody fragments with enhanced specificity
These methodological innovations would address current limitations while expanding the toolkit for investigating zgc:112185 biology across multiple experimental systems.
When designing experiments to study zgc:112185 in zebrafish models, researchers should consider several critical factors to ensure robust and reproducible results:
Developmental stage selection: Based on correlation with ribosome biogenesis genes , focus on early developmental stages with high rates of protein synthesis and cell division.
Tissue specificity: The negative correlation with neuronal markers suggests examining proliferative tissues rather than terminally differentiated neurons.
Genetic manipulation strategies: Implement both transient (morpholino) and stable (CRISPR/Cas9) knockdown/knockout approaches with appropriate controls to distinguish specific phenotypes from off-target effects.
Functional readouts: Assess nucleolar morphology, ribosome biogenesis rates, cell proliferation, and developmental timing as primary endpoints based on correlation data .
Validation and controls: Include positive controls (knockdown of known nucleolar proteins), negative controls (non-targeting reagents), rescue experiments (wild-type mRNA co-injection), and dose-response analyses.
Antibody applications: Optimize zgc:112185 antibody protocols with appropriate blocking, antibody concentration, and incubation conditions while validating specificity through knockout controls .
These considerations will enhance experimental rigor when investigating zgc:112185 function in developmental and cellular contexts, facilitating meaningful translation to mammalian systems.
The current state of knowledge regarding zgc:112185 function remains preliminary, with several key insights and knowledge gaps:
Established Knowledge:
It shows strong correlation with nucleolar proteins and ribosome biogenesis factors (npm1a, nop58, dkc1)
It demonstrates negative correlation with neuronal differentiation markers
Reagents exist for its study, including polyclonal antibodies validated for Western blot and ELISA applications
Pressing Research Questions:
Molecular Function: What is the precise biochemical activity of zgc:112185? Does it possess enzymatic activity, RNA-binding capacity, or structural roles?
Developmental Roles: What are the consequences of zgc:112185 depletion on zebrafish development? Are there tissue-specific requirements?
Subcellular Localization: Does zgc:112185 localize to the nucleolus as predicted by its correlation network, and does this localization change during the cell cycle or stress conditions?
Protein Interactions: What are the direct binding partners of zgc:112185, and how do these interactions contribute to its function?
Conservation: To what extent are the functions of zgc:112185 conserved with human C8orf33, and can zebrafish serve as a model for human C8orf33-related disorders?
Regulation: What mechanisms control zgc:112185 expression and activity, including transcriptional regulation and post-translational modifications?