The zgc:113036 Antibody is designed to detect the zgc:113036 gene product, a homolog of the human C18orf19 protein. This gene is annotated as part of the family with sequence similarity 210 (FAM210) and is expressed in zebrafish, a widely used model organism in developmental biology and neurodegenerative disease research .
The antibody is produced via immunization of rabbits with recombinant zgc:113036 protein, followed by antigen-affinity purification. The recombinant antigen is expressed in E. coli or yeast systems, ensuring high purity (>85% as determined by SDS-PAGE) .
| Antigen Host | Purity | Tag Information |
|---|---|---|
| E. coli | ≥85% | N-terminal tag |
| Yeast | ≥85% | C-terminal tag (variable) |
The zgc:113036 Antibody is primarily used in studies involving zebrafish models of disease. Key applications include:
Neurodegenerative Disease Research: The antibody aids in studying protein localization in Alzheimer’s and Parkinson’s disease models .
Developmental Biology: It is used to trace C18orf19 homolog expression during embryogenesis and organogenesis .
Protein Interaction Studies: Validated for immunoprecipitation to identify binding partners of zgc:113036 .
KEGG: dre:503762
UniGene: Dr.133091
Zgc:113036 is an uncharacterized protein in Danio rerio (zebrafish) that is homologous to the human C18orf19 homolog B protein. It is identified by UniProt ID Q5CZQ0 . Studying this protein in zebrafish models is valuable because zebrafish offer several advantages for developmental and neurobiological research, including ex-utero development of optically-translucent embryos and a range of genetic tools that provide a broad technical platform for neurobiology research .
As an uncharacterized protein, research on zgc:113036 contributes to the broader understanding of the zebrafish proteome and potentially homologous proteins in humans. The full-length protein consists of 280 amino acids and is available as a recombinant protein with His-tag from some suppliers .
Validating zgc:113036 antibodies for zebrafish research requires a multi-step approach to ensure specificity and reliability:
Western blot validation: Test the antibody against recombinant zgc:113036 protein under both reducing and non-reducing conditions. Some antibodies may recognize conformational epitopes that are destroyed under reducing conditions .
Fixation sensitivity testing: Quantify the rate at which immunoreactivity is lost upon formalin treatment using ELISA. Incubate immobilized protein with 4% formalin for various time periods (up to 120 minutes) and measure antibody binding .
Expression pattern verification: Compare antibody staining patterns with known transcript distribution from in situ hybridization, if available .
Knockout/knockdown controls: Generate or use existing zgc:113036 knockdown (morpholino) or knockout (CRISPR-Cas9) zebrafish lines to confirm antibody specificity.
Tissue microarrays (TMAs): When available, use TMAs consisting of various tissue samples with different expression levels for quality control and reproducibility assessment .
According to commercial information, current zgc:113036 antibodies are primarily validated for Western blotting (WB) and ELISA applications . Methodological considerations for these applications include:
Western blotting protocol:
Use non-reducing conditions if the antibody recognizes conformational epitopes
Include positive controls (recombinant zgc:113036 protein) and negative controls
Block with 2% BSA to reduce background
Use ~10 μg/mL primary antibody and incubate at 4°C overnight for optimal results
ELISA protocol:
Direct coating of recombinant zgc:113036 or capture approach depending on assay design
Use purified recombinant antibody diluted in PBS/0.2% BSA
Potential additional applications, pending validation, could include immunohistochemistry and immunofluorescence for studying zgc:113036 localization in zebrafish tissues.
Proper controls are essential for reliable results when working with antibodies to uncharacterized proteins like zgc:113036:
| Control Type | Implementation | Purpose |
|---|---|---|
| Positive Control | Samples known to express zgc:113036 | Confirms antibody can detect target |
| Negative Control | Samples with zgc:113036 knocked down or tissues known not to express it | Assesses specificity |
| Primary Antibody Control | Non-specific IgG of same isotype | Controls for non-specific binding |
| Secondary Antibody Control | Omitting primary antibody | Controls for secondary antibody background |
| Antigen Absorption | Pre-incubating antibody with recombinant zgc:113036 | Confirms signal is specific to antigen |
Every experiment should include a positive and negative control to assess antibody performance, ideally with a set of samples showing variable expression levels of the protein of interest .
Fixation can significantly impact antibody performance in immunohistochemistry:
Fixation sensitivity assessment: The sensitivity of antibody epitopes to formalin should be determined experimentally. Some antibodies maintain reactivity after prolonged fixation, while others show significant sensitivity .
Fixation protocol for zebrafish: Standard protocols involve fixing zebrafish embryos with 4% formalin for 3h at room temperature or overnight at 4°C, followed by washing with PBT and blocking (PBS, 10% goat serum, 0.6% Triton and 1% DMSO) for 1h .
Signal amplification: For antibodies with reduced sensitivity after fixation, TSA (tyramide signal amplification) can enhance detection. This involves using HRP-conjugated secondary antibodies followed by tyramide amplification .
Antigen retrieval methods: If epitope masking occurs during fixation, heat-induced or enzymatic antigen retrieval may restore antibody binding. The optimal method should be determined empirically.
Alternative fixatives: If formalin sensitivity is a significant issue, alternative fixatives like methanol or Bouin's solution may be considered.
Recombinant antibody technology offers several advantages for developing improved zgc:113036 antibodies:
Cloning and expression: The rearranged antigen-binding regions of successful hybridoma-derived antibodies can be amplified, sequenced, and cloned into a single expression plasmid. This enables expression in a recombinant form with consistent properties .
Tag addition for multiplex applications: Additional tags can be added to recombinant antibodies, such as:
Yeast display systems: As an alternative to traditional hybridoma approaches, yeast display libraries containing millions of antibody variants can be used for zgc:113036 antibody selection. This approach is faster (3-6 weeks versus 3-6 months) and more accessible than animal immunization .
Improving specificity through engineering: Once antibody sequences are known, directed mutagenesis can be used to enhance specificity, affinity, or reduce cross-reactivity.
Cross-reactivity is particularly concerning for antibodies to uncharacterized proteins. Methodological approaches to address this include:
Extensive validation across related proteins: Test antibody reactivity against proteins with sequence similarity to zgc:113036.
Epitope mapping: Identify the specific region recognized by the antibody using techniques such as:
Peptide arrays covering the full zgc:113036 sequence
Truncation mutants of the protein
Hydrogen-deuterium exchange mass spectrometry
Absorption controls: Pre-absorb the antibody with purified zgc:113036 before experiments. Complete elimination of signal indicates specificity .
Genetic validation: Test antibody reactivity in knockout models where the zgc:113036 gene has been deleted using CRISPR-Cas9 or similar techniques.
Multiple antibody approach: Use multiple antibodies targeting different epitopes of zgc:113036. Concordant results increase confidence in specificity .
AI technologies offer promising approaches for improving antibody design against targets like zgc:113036:
Generative deep learning models: These can perform de novo design of antibodies in a zero-shot fashion. Such approaches have successfully created antibodies against targets like HER2 with sub-nanomolar affinities in a single design round .
Structure prediction and epitope accessibility: AI tools can predict the 3D structure of zgc:113036 and identify accessible epitopes for antibody targeting, even without experimental structural data.
Loop structure prediction: Advanced methods like GaluxDesign have demonstrated high accuracy in predicting antibody loop structures, which is critical for designing antibodies with high specificity and affinity .
In silico affinity optimization: AI methods can perform computational affinity maturation, potentially producing zgc:113036 antibodies with improved binding characteristics without extensive wet-lab iterations.
Developability assessment: AI tools can evaluate antibody candidates for properties like stability, solubility, and manufacturability before experimental validation .
The recent advances in AI-based antibody design have demonstrated that computationally designed antibodies can achieve binding affinities comparable to or better than traditional approaches .
Identifying epitopes for zgc:113036 antibodies presents several methodological challenges:
Limited structural information: Without experimental structures, predicting accessible epitopes relies on computational models with inherent limitations.
Post-translational modifications: Zebrafish extracellular proteins are often modified with glycans that are highly immunogenic in mammals. This can result in antibodies that recognize glycans rather than the protein backbone .
Conformational epitopes: Many antibodies recognize conformational epitopes dependent on tertiary structure. For zgc:113036, maintaining these conformations during immunization and experimental procedures is challenging .
Validation complexity: Without known binding partners or functions for zgc:113036, validating that an antibody detects the intended epitope becomes more difficult.
Fixation sensitivity: Formalin fixation can mask epitopes through protein cross-linking. Understanding the fixation sensitivity of zgc:113036 epitopes is crucial for applications like immunohistochemistry .
Antibody repertoire analysis provides powerful tools for optimizing antibody selection:
Phage Display Library (GFPDL) screening: This technique can profile antibody responses against zgc:113036, identifying diverse antigenic sites and immunodominant epitopes .
Public antibody response analysis: Studying shared genetic elements across antibodies from different sources can identify recurring molecular features that represent optimal binding solutions .
V-gene allelic polymorphism impact: Recent research has shown that V-gene allelic polymorphisms in antibody paratopes can be determinants for binding activity. Understanding these variations can help select or design more universally effective zgc:113036 antibodies .
Affinity maturation tracking: By analyzing the evolution of antibody binding properties over time, key mutations that enhance affinity and specificity can be identified. This information guides rational antibody engineering .
Computational repertoire mining: Combining next-generation sequencing with structural modeling can identify antibody sequences with optimal properties from natural or synthetic repertoires.
Applying rigorous validation standards is critical for antibody-based research:
Application-specific validation: Validate the antibody separately for each intended application (WB, ELISA, IHC, etc.) as performance can vary dramatically between applications .
Orthogonal method validation: Confirm findings using independent methods that don't rely on antibodies, such as mass spectrometry or CRISPR-based approaches .
Genetic strategy validation: Use genetic approaches (knockout/knockdown) to confirm antibody specificity by demonstrating loss of signal when the target is absent .
Expression-matched validation: Test the antibody across samples with varying levels of zgc:113036 expression to confirm that signal intensity correlates with expression levels .
Documentation and transparency: Document all validation methods, controls, and results. Share validation data when publishing to enhance reproducibility .
Approximately 50% of commercial antibodies fail to meet basic standards for characterization, highlighting the importance of thorough validation before use in research .
Working with zebrafish models requires special methodological considerations:
Developmental staging: When studying zgc:113036 in zebrafish embryos, precise developmental staging is crucial as protein expression patterns may change rapidly during development.
Tissue-specific fixation optimization: Different zebrafish tissues may require distinct fixation protocols to preserve both tissue architecture and antibody epitopes .
Glycosylation differences: Consider that zebrafish proteins often have glycosylation patterns that differ from mammalian proteins, potentially affecting antibody binding .
Whole-mount versus section immunostaining: For embryos, whole-mount techniques may be appropriate, while adult tissues might require sectioning. Each approach requires specific protocol optimization .
Multiplex imaging strategies: For co-localization studies, recombinant antibodies with different tags enable simultaneous detection of multiple proteins. For example, combining FLAG-tagged and biotin-His-tagged antibodies allows dual-color imaging .