The zgc:153454 antibody is a specific immunological reagent designed to target the zgc:153454 gene product in zebrafish (Danio rerio). This gene encodes a homolog of the human Mediator Complex Subunit 13 (MED13), a critical component of the Mediator complex that regulates RNA polymerase II transcription. The antibody is widely used in molecular biology research to study gene expression, cellular signaling, and developmental processes in zebrafish models.
The zgc:153454 gene in zebrafish is orthologous to human MED13, which functions as a scaffolding protein within the Mediator complex. This complex facilitates communication between transcription factors and the RNA polymerase II machinery, playing a central role in gene regulation . In zebrafish, zgc:153454 is implicated in embryonic development and tissue-specific gene expression.
The zgc:153454 protein shares ~65% sequence identity with human MED13, indicating conserved functional domains. Key structural features include a helical domain and interactions with other Mediator subunits (e.g., MED12, MED14) .
Expression analysis reveals that zgc:153454 is ubiquitously expressed during embryonic stages, with enriched levels in the central nervous system, liver, and pancreas .
| Attribute | Value |
|---|---|
| Gene Target | zgc:153454 (Med13-like) |
| Host Species | Rabbit, Mouse |
| Immunogen | Recombinant protein fragments |
| Application | WB, IHC, IP, ELISA |
| Purity | Antigen-affinity purified IgG |
| Concentration | 1 mg/mL (lyophilized) |
Western Blot: Detects a ~150 kDa band corresponding to the zgc:153454 protein in zebrafish lysates .
Immunohistochemistry: Shows nuclear localization in zebrafish embryos, consistent with Mediator complex function .
The antibody is used to study transcriptional regulation during zebrafish organogenesis. For example, zgc:153454 knockdown experiments reveal defects in neural crest specification and heart development .
Zebrafish models of cancer (e.g., melanoma) utilize this antibody to investigate Mediator complex activity in tumor progression. Overexpression of zgc:153454 correlates with enhanced oncogenic signaling .
Research links zgc:153454 to neuroprotective pathways in zebrafish models of Alzheimer’s disease, where its downregulation exacerbates amyloid-β toxicity .
| Supplier | Product Code | Price (USD) |
|---|---|---|
| Cusabio | CSB-PA013646XA01DIL | $499 |
| MyBioSource | MBS7140251 | $429 |
| Antibodies Online | ABIN5519033 | $399 |
zgc:153454 (now known as med13b) encodes the Mediator of RNA polymerase II transcription subunit 13-like protein in zebrafish. This protein is part of the mediator complex that serves as a transcriptional coactivator for DNA-binding factors that regulate transcription by RNA polymerase II . The gene is located on chromosome 15 and has multiple available alleles with various mutations including nonsense and essential splice site variants .
The protein has 2102 amino acids based on the transcript ENSDART00000110267, containing 30 exons . As part of the mediator complex, it plays a critical role in regulating gene expression during development and in response to various stimuli. The importance of this gene is highlighted by the fact that the Zebrafish Mutation Project (ZMP) maintains multiple alleles of this gene for research purposes .
Commercial zgc:153454 antibodies typically have the following specifications:
| Specification | Details |
|---|---|
| Antibody Type | Polyclonal |
| Host/Source | Rabbit |
| Applications | ELISA, Western Blot |
| Species Reactivity | Zebrafish (Danio rerio) |
| Purification Method | Protein A/G Purified |
| Immunogen | Recombinant Danio rerio zgc:153454 protein |
| Storage Conditions | -20°C or -80°C |
| Isotype | IgG |
| UniProt Number | A2VCZ5 |
| Entrez Gene ID | 564707 |
| Gene Symbol | med13b |
The antibody is typically shipped on blue ice and available in a 10mg size . When selecting an antibody, researchers should verify these specifications match their experimental requirements, particularly regarding species reactivity and validated applications.
Validating a zgc:153454 antibody requires a multi-step approach to ensure specificity and reproducibility:
Genetic validation: The most rigorous approach is to use genetic knockdown/knockout samples as negative controls. Given that multiple alleles (sa22623, sa22622, sa35864, etc.) are available for shipment through zebrafish mutation repositories, these can serve as excellent negative controls .
Orthogonal validation: Compare protein expression results from antibody-based methods with antibody-independent methods such as mass spectrometry or mRNA quantification .
Multiple antibody validation: Use different antibodies targeting different epitopes of zgc:153454 to confirm consistent results .
Recombinant expression validation: Overexpress zgc:153454 in a model system and confirm increased signal .
Immunoprecipitation followed by mass spectrometry: Confirm that the antibody specifically captures the target protein .
For each application (Western blot, ELISA, etc.), separate validation experiments should be conducted, as specificity in one application does not guarantee specificity in another . Document all validation experiments thoroughly, including positive and negative controls, for inclusion in publications .
Proper experimental design with zgc:153454 antibody requires several controls:
Positive control: Include samples known to express zgc:153454, such as wild-type zebrafish tissue. The recombinant immunogen protein provided with the antibody (200μg) can serve as a positive control .
Negative control:
Loading controls: For Western blots, include housekeeping proteins (GAPDH, β-actin) to normalize expression levels .
Secondary antibody only control: Omit primary antibody to detect potential non-specific binding of secondary antibody.
Technical replicates: Perform at least three independent replicates for statistical validity.
Batch controls: When comparing between experiments, include samples from previous batches to account for batch-to-batch variability .
The experimental design should also include proper optimization of antibody concentration. Using too much antibody can yield nonspecific results, while too little can lead to false-negative results. Determining signal-to-noise ratio and dynamic range is critical for quantitative experiments .
Optimizing Western blotting with zgc:153454 antibody requires methodical adjustment of multiple parameters:
Sample preparation:
Use fresh tissue samples or properly stored frozen samples (-80°C)
Include protease inhibitors during extraction
Determine optimal protein amount (typically 20-50μg total protein)
Antibody dilution optimization:
Start with manufacturer's recommended dilution (typically 1:1000-1:5000)
Prepare a dilution series (e.g., 1:500, 1:1000, 1:2000, 1:5000)
Evaluate signal-to-noise ratio at each dilution
Blocking optimization:
Test different blocking agents (5% BSA vs. 5% non-fat milk)
Optimize blocking time (1-2 hours at room temperature or overnight at 4°C)
Incubation conditions:
Compare different incubation times and temperatures
Test overnight incubation at 4°C vs. 1-2 hours at room temperature
Washing stringency:
Optimize wash buffer composition (TBST or PBST with 0.05% to 0.1% Tween-20)
Adjust washing time and number of washes
Detection system selection:
Choose appropriate secondary antibody (HRP-conjugated anti-rabbit IgG)
Select detection method (ECL, fluorescent, etc.) based on expected abundance
Expected molecular weight of zgc:153454 is approximately 230-240 kDa, but post-translational modifications may alter migration pattern . Document each optimization step systematically for reproducibility and include all relevant protocols in publications .
For successful immunohistochemistry (IHC) with zgc:153454 antibody, follow this methodological approach:
Tissue preparation:
Fix tissues in 4% paraformaldehyde (PFA) for 24 hours
Process and embed in paraffin or prepare frozen sections
For zebrafish embryos/larvae, consider whole-mount immunostaining
Antigen retrieval optimization:
Test multiple methods as this is critical for zgc:153454 detection
Compare heat-induced epitope retrieval methods:
Citrate buffer (pH 6.0)
EDTA buffer (pH 8.0)
Tris-EDTA buffer (pH 9.0)
Optimize retrieval time (10-30 minutes)
Blocking and permeabilization:
Block with 5-10% normal serum from the same species as secondary antibody
Include 0.1-0.3% Triton X-100 for membrane permeabilization
Consider adding 1% BSA to reduce background
Antibody incubation:
Dilute primary antibody appropriately (start with 1:100-1:500)
Incubate overnight at 4°C in humidified chamber
For fluorescent detection, protect from light during secondary antibody incubation
Controls:
Include tissue sections from zgc:153454 knockout models
Use pre-immune serum in place of primary antibody
Include competing peptide control if available
Counterstaining and mounting:
Use DAPI for nuclear counterstaining
Select appropriate mounting medium based on detection method
Remember that optimization needs to be performed for each specific tissue type. Document all optimization steps and include representative images of controls in publications .
Studying protein-protein interactions involving zgc:153454 requires specialized approaches:
Co-immunoprecipitation (Co-IP):
Lyse zebrafish tissues or cells in non-denaturing buffer
Pre-clear lysates with Protein A/G beads
Immunoprecipitate with zgc:153454 antibody (2-5μg per mg of protein)
Analyze precipitates by Western blot for potential interaction partners
Include IgG control to identify non-specific interactions
Proximity Ligation Assay (PLA):
Use zgc:153454 antibody with antibodies against suspected interaction partners
PLA signals appear only when proteins are in close proximity (<40nm)
Quantify interaction events using fluorescent microscopy
Chromatin Immunoprecipitation (ChIP):
As a component of the mediator complex, zgc:153454 may be involved in DNA binding
Optimize crosslinking conditions (1% formaldehyde for 10-15 minutes)
Fragment chromatin to 200-500bp
Immunoprecipitate with 3-5μg zgc:153454 antibody
Analyze by qPCR or sequencing
Immunofluorescence co-localization:
Perform double immunofluorescence with zgc:153454 and suspected partners
Analyze using confocal microscopy
Calculate co-localization coefficients (Pearson's, Mander's)
Bimolecular Fluorescence Complementation (BiFC):
For validation of direct interactions identified in other assays
Clone zgc:153454 and partner proteins fused to split fluorescent protein fragments
Co-express in zebrafish cells and observe reconstituted fluorescence
Each approach provides different information about the interaction (direct/indirect, temporal, spatial), so combining multiple methods increases confidence in results. Include appropriate controls for each technique and validate key findings using orthogonal approaches .
Using zgc:153454 antibody to study developmental processes requires temporal and spatial analysis:
Developmental expression profiling:
Collect embryos at multiple developmental stages (e.g., 4-cell, blastula, gastrula, somitogenesis, 24hpf, 48hpf, 72hpf)
Process for either whole-mount immunostaining or protein extraction
Compare zgc:153454 expression levels and localization across stages
Correlate with known developmental events
Tissue-specific expression analysis:
Perform immunohistochemistry on tissue sections from different developmental stages
Map expression patterns to specific cell types and tissues
Create expression atlas across development
Functional studies:
Co-expression studies:
Combine zgc:153454 antibody with markers for specific cell lineages
Determine co-expression patterns during development
Identify potential regulatory relationships
Live imaging:
For advanced studies, consider using Fab fragments of zgc:153454 antibody
Label with fluorescent dyes for live imaging in transparent embryos
Track protein dynamics during developmental processes
This approach allows for comprehensive characterization of zgc:153454's role in zebrafish development. When reporting results, include clear timeline references and standardized staging nomenclature. Combine antibody-based detection with mRNA expression analysis for a more complete picture .
Epitope masking can occur when zgc:153454 protein forms complexes or undergoes conformational changes. Several strategies can help overcome this challenge:
Alternative extraction conditions:
Test different lysis buffers with varying detergent strengths
Compare native vs. denaturing conditions
Try sequential extraction protocols to disrupt different types of interactions
Cross-linking followed by reversal:
Use reversible cross-linkers to stabilize complexes
Perform immunoprecipitation under cross-linked conditions
Reverse cross-links before immunoblotting
Epitope retrieval optimization:
For fixed tissues, compare different antigen retrieval methods:
Heat-induced epitope retrieval at varying pH values
Enzymatic digestion (proteinase K, trypsin)
Detergent treatment during retrieval
Multiple antibody approach:
Use different antibodies targeting distinct epitopes
Compare results to identify regions frequently masked by interactions
Competitive binding assays:
Introduce excess recombinant immunogen peptide in controlled amounts
Monitor displacement of natural binding partners
Denaturation strategies before antibody application:
For Western blots, ensure complete denaturation with SDS and reducing agents
For fixed tissues, try harsher retrieval conditions
Document all optimization attempts and include controls that demonstrate successful detection of the target protein. When reporting results, clearly state which extraction and detection conditions were ultimately successful .
Batch-to-batch variability is a common challenge with polyclonal antibodies like zgc:153454. Implement these methodological approaches to address this issue:
Standardized validation protocol:
Develop a standard operating procedure (SOP) for validating each new batch
Include positive controls with known expression levels
Compare new batches against reference samples used with previous batches
Document sensitivity and specificity for each batch
Bulk purchasing strategy:
Purchase multiple vials from the same lot when a reliable batch is identified
Store properly aliquoted at -80°C to maintain long-term stability
Reserve one vial for comparison testing with future batches
Calibration curve approach:
For quantitative applications, generate a standard curve using recombinant protein
Normalize results across batches using these calibration curves
Report normalized values rather than raw intensities
Bridging study design:
When changing batches mid-study, analyze a subset of samples with both batches
Develop a mathematical correction factor if needed
Include overlapping samples in all experimental runs
Alternative validation methods:
Confirm key findings with orthogonal methods that don't depend on antibodies
Use knockout/knockdown controls with each new batch
Document lot numbers in all experimental records and publications. This approach not only addresses variability but also improves experimental reproducibility .
Understanding potential sources of error is critical for accurate interpretation of results with zgc:153454 antibody:
Common causes of false positives:
Cross-reactivity issues:
Excessive antibody concentration:
Insufficient blocking:
Sample degradation:
Common causes of false negatives:
Epitope destruction:
Low expression levels:
Incorrect antibody application:
Epitope masking:
Batch degradation:
For each experiment, include proper controls to distinguish true signals from artifacts. When troubleshooting, change only one variable at a time and document all modifications to protocols .
Determining optimal antibody concentration requires systematic titration experiments for each application:
Western Blotting optimization:
Prepare serial dilutions (1:500, 1:1000, 1:2000, 1:5000, 1:10000)
Use consistent protein amount and identical blotting conditions
Evaluate signal-to-noise ratio at each concentration
Select concentration that gives specific bands with minimal background
Typical working range: 1:1000-1:5000 for most polyclonal antibodies
Immunohistochemistry/Immunofluorescence optimization:
Test dilution series (1:50, 1:100, 1:200, 1:500, 1:1000)
Process all samples identically
Evaluate specific staining vs. background
Include competing peptide control to confirm specificity
Typical working range: 1:100-1:500 for tissue sections
ELISA optimization:
Create antibody dilution matrix (1:500 to 1:100,000)
Test against different antigen concentrations
Generate standard curves at each antibody dilution
Select concentration that provides good dynamic range and sensitivity
Typical working range: 1:1000-1:10000
Immunoprecipitation optimization:
Test different antibody amounts (1-10μg per reaction)
Evaluate pull-down efficiency by Western blot
Compare to IgG control for specificity
Typical working range: 2-5μg per mg of protein lysate
For each application, plot signal-to-noise ratio against antibody concentration to identify the optimal working range. The goal is to find the lowest concentration that gives reliable detection with minimal background. Document optimization experiments thoroughly for reproducibility .
Validating potential cross-reactivity between zgc:153454 antibody and human MED13 requires a systematic approach:
Sequence homology analysis:
Perform sequence alignment between zebrafish zgc:153454 and human MED13
Focus on the immunogen region used to generate the antibody
Calculate percent identity and similarity
Identify conserved epitopes that might be recognized
Western blot validation:
Test antibody against human cell lysates
Include zebrafish lysate as positive control
Look for bands at expected molecular weight of human MED13 (~250 kDa)
Confirm specificity using siRNA knockdown of human MED13
Immunoprecipitation-mass spectrometry:
Immunoprecipitate from human lysates using zgc:153454 antibody
Identify captured proteins by mass spectrometry
Determine if human MED13 is specifically enriched
Peptide competition assay:
Pre-incubate antibody with immunizing peptide
Test if this blocks recognition of both zebrafish and human proteins
Include human-specific peptide competition as comparison
Immunofluorescence validation:
Test staining pattern in human cells
Compare with known localization of human MED13
Confirm specificity with siRNA knockdown
Cross-reactivity can be beneficial for comparative studies but must be thoroughly validated. Document the extent of cross-reactivity and any differences in sensitivity between species. Report these findings clearly in publications to guide other researchers .
Integrating quantitative proteomics with zgc:153454 antibody research enables comprehensive insights into protein function:
Antibody-based enrichment for targeted proteomics:
Use zgc:153454 antibody for immunoprecipitation
Process samples for mass spectrometry
Identify interaction partners and post-translational modifications
Compare interactome across different conditions or developmental stages
Combined immunoblotting and mass spectrometry:
Validate zgc:153454 antibody specificity using immunoprecipitation followed by mass spectrometry
Confirm that the antibody captures the intended target protein
Identify any cross-reactive proteins
Parallel reaction monitoring (PRM):
Develop targeted mass spectrometry assays for zgc:153454
Compare antibody-based quantification with MS-based absolute quantification
Use as orthogonal validation method
SILAC or TMT labeling with immunoenrichment:
Implement stable isotope labeling approaches
Enrich for zgc:153454 and its complexes using validated antibody
Quantify changes in interaction partners or modifications under different conditions
Absolute quantification using protein standards:
Develop quantitative Western blot protocols using purified standards
Correlate with absolute quantification by mass spectrometry
Generate conversion factors between antibody signal and protein concentration
This integrated approach provides multiple layers of validation and quantitative information about zgc:153454 and its molecular context. When reporting results, clearly describe both antibody-based and MS-based methodologies and highlight concordant findings .
Distinguishing technical artifacts from biological variance requires systematic investigation:
Eliminate technical variables first:
Repeat experiments using standardized protocols
Use the same antibody lot, reagents, and equipment
Process all samples simultaneously when possible
Include internal reference standards
Assess biological replicates properly:
Use appropriate number of biological replicates (minimum n=3)
Calculate coefficient of variation within and between groups
Apply appropriate statistical tests based on data distribution
Consider power analysis to determine adequate sample size
Implement control series:
Create dilution series of positive control samples
Evaluate linearity of detection across concentration range
Determine limit of detection and quantification
Use to normalize between experiments
Orthogonal validation:
Confirm key findings using alternative detection methods
Compare protein levels with mRNA expression
Use genetic models (knockdown/knockout) for validation
Investigate biological sources of variation:
Consider developmental timing differences
Assess circadian or other temporal effects
Evaluate sex-based differences
Document age, genetic background, and environmental conditions
Systematic troubleshooting approach:
Change only one variable at a time
Document all modifications to protocols
Create decision tree for common issues
When reporting results, clearly distinguish between technical variability (error bars on replicates) and biological variability (differences between conditions). Include detailed methods that specify all relevant technical parameters .
Studying post-translational modifications (PTMs) of zgc:153454 requires specialized techniques:
Phosphorylation analysis:
Immunoprecipitate zgc:153454 using validated antibody
Analyze by Western blot with phospho-specific antibodies
Confirm with mass spectrometry using phospho-enrichment
Use phosphatase treatment as control
Compare phosphorylation status across different conditions
Ubiquitination detection:
Treat samples with proteasome inhibitors to stabilize ubiquitinated proteins
Immunoprecipitate with zgc:153454 antibody
Blot with anti-ubiquitin antibodies
Alternative: express tagged ubiquitin and pull down ubiquitinated proteins
SUMOylation analysis:
Use denaturing conditions for lysis to preserve SUMO modifications
Immunoprecipitate zgc:153454
Blot with anti-SUMO antibodies
Include SUMO protease inhibitors during sample preparation
Glycosylation detection:
Treat samples with glycosidases (PNGase F, O-glycosidase)
Observe mobility shifts by Western blot
Use lectin binding assays as complementary approach
Confirm with mass spectrometry
Integrated mass spectrometry approach:
Enrich for zgc:153454 using immunoprecipitation
Process for high-resolution mass spectrometry
Use multiple proteases for complete sequence coverage
Apply specific enrichment methods for different PTM types
Analyze data with appropriate software for PTM identification
Functional validation of PTMs:
Generate site-specific mutants (alanine substitutions)
Express in zebrafish embryos and assess functional consequences
Use phosphomimetic mutations (S/T to D/E) to study phosphorylation
This comprehensive approach allows for detailed characterization of zgc:153454 PTMs and their functional relevance. Include appropriate controls for each technique and validate key findings using orthogonal methods .