ZK1098.4 is a custom antibody produced by Cusabio, a biotechnology company specializing in antibody manufacturing. It is designed to recognize specific proteins in C. elegans, a nematode widely used in genetic and molecular studies. Key details include:
Target: The antibody binds to a protein associated with the Uniprot identifier P34604 in C. elegans.
Format: Available in concentrations of 2ml/0.1ml, suitable for laboratory applications.
Product Code: CSB-PA189049XA01CXY.
This antibody is part of a broader catalog of C. elegans-specific reagents, including other antibodies like ZK1098.4, ZK512.2, and ZK697.8, which collectively enable comprehensive studies of nematode biology .
While specific studies on ZK1098.4 are not detailed in publicly available literature, antibodies targeting C. elegans proteins are critical for:
Protein Localization: Identifying subcellular localization patterns of target proteins.
Functional Studies: Investigating protein interactions, developmental roles, or disease-related pathways.
Genetic Screens: Facilitating high-throughput screening in C. elegans models of human diseases (e.g., Alzheimer’s, Parkinson’s).
For example, antibodies like ZK1098.4 may be used to study proteins involved in:
Neuronal Development: C. elegans is a key model for studying synaptic plasticity and neurodegeneration.
Stress Response: Proteins regulating heat shock, oxidative stress, or starvation responses.
Membrane Trafficking: Processes such as endocytosis or vesicle transport.
The ZK1098.4 antibody is one of many C. elegans-specific reagents in Cusabio’s catalog. Below is a comparison with other C. elegans antibodies from the same source :
| Antibody | Uniprot ID | Target Organism | Application |
|---|---|---|---|
| ZK1098.4 | P34604 | C. elegans | Protein interaction studies |
| ZK512.2 | P34640 | C. elegans | Developmental biology |
| ZK697.8 | O44578 | C. elegans | Stress response pathways |
Note: Specific applications are inferred based on C. elegans research trends .
Despite its utility, ZK1098.4’s research potential is constrained by limited publicly available data. Future studies could:
Characterize Target Protein: Define the molecular function of the P34604 protein.
Validate Specificity: Confirm cross-reactivity with related proteins or off-target binding.
Integrate with Omics Tools: Use ZK1098.4 in proteomics workflows to map protein networks in C. elegans.
ZK1098.4 is a protein in Caenorhabditis elegans identified by its UniProt accession number P34604 . While the complete functional characterization remains an active area of research, genomic studies indicate it may be involved in developmental processes. The protein has been studied in the context of whole genome RNAi knockdown screens, suggesting potential roles in various cellular pathways .
Methodological approach to functional characterization:
Conduct phenotypic analysis following RNAi-mediated gene silencing
Perform co-immunoprecipitation experiments to identify interaction partners
Use fluorescent-tagged constructs to determine subcellular localization
Implement CRISPR/Cas9 gene editing to generate knockout models
The ZK1098.4 antibody has been validated for multiple research applications:
| Application | Validation Status | Recommended Dilution | Notes |
|---|---|---|---|
| ELISA | Validated | 1:1000 - 1:5000 | Optimal for detecting recombinant protein |
| Western Blot | Validated | 1:500 - 1:2000 | Ensures identification of antigen |
| Immunohistochemistry | Not fully validated | N/A | Additional optimization required |
| Immunofluorescence | Not fully validated | N/A | Additional optimization required |
For research requiring high specificity, the antibody has been affinity-purified against the immunogen (recombinant Caenorhabditis elegans ZK1098.4 protein) .
To maintain antibody activity and prevent degradation:
Avoid repeated freeze-thaw cycles, which can lead to protein denaturation and loss of activity
If frequent use is necessary, prepare working aliquots to minimize freeze-thaw events
The antibody is supplied in a storage buffer containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative
For short-term storage (1-2 weeks), the antibody can be kept at 4°C in the dark
Research has shown that antibodies stored under optimal conditions maintain >95% of their activity for at least 12 months.
Verification of antibody specificity involves multiple complementary approaches:
Immunoblotting against recombinant protein: Confirming single band at the expected molecular weight
Peptide competition assays: Pre-incubation with immunizing peptide should abolish specific signal
RNAi knockdown validation: Signal reduction following ZK1098.4 knockdown
Testing in knockout models: Absence of signal in ZK1098.4 null mutants
Cross-reactivity analysis: Testing against closely related proteins such as ZK1098.6 and ZK1098.10
For researchers studying protein complexes, validation should include appropriate controls similar to those used in JLP/Max interaction studies, where specific antibodies against tags and leucine zipper domains were employed to verify protein interactions .
Optimized Western Blot Protocol for ZK1098.4 Antibody:
Sample preparation:
Extract total protein from C. elegans using buffer S (250 mM Tris·HCl, pH 7.5, 137 mM NaCl, 1% Nonidet P-40, 0.1% SDS, 0.5% sodium deoxycholate) with protease inhibitors (1 mM PMSF, 2 μg/ml pepstatin, 2 μg/ml leupeptin, 1.9 μg/ml aprotinin)
Heat samples at 95°C for 5 minutes in reducing sample buffer
Gel electrophoresis:
Load 20-50 μg of protein per lane on 10-12% SDS-PAGE gels
Include positive control (recombinant ZK1098.4 protein)
Transfer:
Transfer to PVDF membrane at 100V for 1 hour (or 30V overnight)
Verify transfer with reversible protein stain
Blocking:
Block with 5% non-fat dry milk in TBST for 1 hour at room temperature
Primary antibody incubation:
Dilute ZK1098.4 antibody 1:1000 in blocking solution
Incubate overnight at 4°C with gentle agitation
Washing:
Wash 3 × 10 minutes with TBST
Secondary antibody:
Use anti-rabbit HRP-conjugated antibody (1:5000)
Incubate for 1 hour at room temperature
Detection:
Develop using enhanced chemiluminescence
Expect a band at approximately the predicted molecular weight for ZK1098.4
ZK1098.4 antibody serves as a critical validation tool in RNAi knockdown experiments, enabling quantitative assessment of knockdown efficiency.
Integrated Methodology:
RNAi knockdown implementation:
Use feeding RNAi with ZK1098.4-specific dsRNA-expressing bacteria
Include vector-only control and positive control knockdowns
Synchronize worm populations using standard hypochlorite treatment
Protein extraction and quantification:
Extract proteins from equal numbers of worms (typically 50-100)
Quantify total protein using Bradford or BCA assay
Normalize loading based on total protein or housekeeping proteins
Western blot validation:
Perform Western blot using optimized protocol (see question 1.5)
Include GAPDH or actin antibody as loading control
Quantify band intensity using appropriate imaging software
Phenotypic assessment:
This methodology has been validated in studies examining the effects of whole genome knockdown in C. elegans models for various conditions, including those studying alpha-1 antitrypsin deficiency .
While specific interaction partners of ZK1098.4 are still being characterized, methodological approaches for identifying protein interactions can be adapted from related studies:
Experimental Approaches for Interaction Discovery:
Co-immunoprecipitation with ZK1098.4 antibody:
Yeast two-hybrid screening:
Use ZK1098.4 as bait against C. elegans cDNA library
Validate positive interactions with co-IP and in vivo assays
Proximity labeling approaches:
Generate transgenic worms expressing ZK1098.4-BioID fusion
Identify proximal proteins through streptavidin pulldown and MS analysis
Computational prediction:
Preliminary data suggests ZK1098.4 may interact with proteins involved in developmental pathways, but comprehensive interaction mapping remains to be completed.
ZK1098.4 belongs to a family of related proteins in C. elegans that includes ZK1098.6 and ZK1098.10. Comprehensive comparison requires multiple analytical approaches:
Comparative Analysis Framework:
Sequence homology analysis:
Structural prediction:
Generate structural models using AlphaFold or similar tools
Compare predicted functional sites
Expression pattern comparison:
Use antibodies against each family member to determine tissue-specific expression
Create transgenic reporter lines for each gene
Functional redundancy assessment:
Generate single and combined knockouts
Compare phenotypes across family members
Attempt rescue experiments across family members
| Protein | Conserved Domains | Expression Pattern | Known Functions | Interaction Partners |
|---|---|---|---|---|
| ZK1098.4 | LZ-like motif | Multiple tissues | Under investigation | Being characterized |
| ZK1098.6 | LZ-like motif | Primarily neurons | Under investigation | Being characterized |
| ZK1098.10 | JLP-homology domain | Multiple tissues | Scaffolding function | Potential MAPK pathway components |
The structural and functional relationships between these family members may provide insights into their evolutionary conservation and specialized roles.
Non-specific binding is a common challenge when working with antibodies in C. elegans research. Systematic troubleshooting approaches include:
Hierarchical Optimization Strategy:
Blocking optimization:
Test alternative blocking agents (BSA, casein, commercial blocking solutions)
Increase blocking time from 1 hour to overnight
Add 0.1-0.5% Tween-20 to reduce hydrophobic interactions
Antibody dilution optimization:
Perform titration series (1:500 to 1:5000)
Determine optimal signal-to-noise ratio
Washing stringency adjustment:
Increase salt concentration in wash buffer (150mM to 500mM NaCl)
Add detergents (Tween-20, Triton X-100, NP-40) at varying concentrations
Extend washing times and increase number of washes
Pre-adsorption protocol:
Incubate antibody with acetone powder from knockout or RNAi-treated worms
Remove antibodies binding to non-specific epitopes
Secondary antibody optimization:
Test alternatives from different manufacturers
Use highly cross-adsorbed secondary antibodies
These approaches have been effective in optimizing antibody specificity in similar experimental systems, such as those used for determining protein interactions in JLP studies .
Determining the subcellular and tissue localization of ZK1098.4 requires integration of multiple complementary approaches:
Integrated Localization Methodology:
Whole-mount immunohistochemistry:
Fix worms with 4% paraformaldehyde (preferred) or Bouin's fixative
Permeabilize cuticle through freeze-crack method or collagenase treatment
Block with 10% normal goat serum and 1% BSA
Apply ZK1098.4 antibody (1:100 to 1:500 dilution)
Use fluorescence-conjugated secondary antibodies
Counterstain with DAPI for nuclear visualization
Subcellular fractionation validation:
Separate nuclear, cytoplasmic, and membrane fractions
Perform Western blotting with ZK1098.4 antibody
Include markers for each fraction (e.g., histone H3 for nuclear, GAPDH for cytoplasmic)
Correlation with transgenic fluorescent reporters:
Colocalization studies:
Perform double-labeling with ZK1098.4 antibody and markers for specific organelles
Quantify colocalization using Pearson's correlation coefficient
Validate with super-resolution microscopy for ambiguous results
This methodology builds upon approaches used in activity-based protein profiling studies in C. elegans, which have successfully identified protein localization in complex proteomes .
Robust experimental design requires comprehensive controls to ensure validity and reproducibility:
Control Framework for ZK1098.4 Antibody Experiments:
Positive controls:
Recombinant ZK1098.4 protein at known concentrations
Wild-type C. elegans lysate from developmental stages with known expression
Negative controls:
Specificity controls:
Peptide competition assay using immunizing peptide
Testing in related nematode species (cross-reactivity assessment)
Western blot against recombinant related proteins (ZK1098.6, ZK1098.10)
Technical controls:
Loading controls (actin, tubulin, or GAPDH antibodies)
Secondary antibody-only control
Isotype control antibody at equivalent concentration
Implementation of these controls helps distinguish specific signals from artifacts and enables quantitative assessment of antibody performance across experiments.
Quantitative applications require additional methodological considerations:
Quantitative Analysis Protocol:
Standard curve establishment:
Use purified recombinant ZK1098.4 protein at 5-7 concentrations
Generate standard curves for each experimental batch
Determine linear range of detection
Sample normalization strategies:
Normalize to total protein (determined by BCA or Bradford assay)
Use multiple housekeeping proteins as reference (GAPDH, actin, tubulin)
Include spike-in standards for absolute quantification
Technical replication:
Perform minimum of three technical replicates
Calculate coefficient of variation (<15% is acceptable)
Image acquisition optimization:
For Western blots, ensure exposure is within linear range
For immunofluorescence, standardize acquisition parameters
Use calibration standards for fluorescence microscopy
Statistical analysis:
Determine appropriate statistical tests based on data distribution
Account for multiple comparisons when necessary
Report effect sizes alongside p-values
These methodological considerations align with best practices in antibody-based quantitation used in studies of complex proteomes and protein interactions .
Understanding the specific epitope(s) recognized by the ZK1098.4 antibody is crucial for interpretation of experimental results:
Epitope Mapping Methodology:
Peptide array analysis:
Synthesize overlapping peptides (15-20 amino acids) spanning ZK1098.4 sequence
Spot peptides on cellulose membrane
Probe with ZK1098.4 antibody
Identify reactive peptides through chemiluminescence
Truncation mutant analysis:
Alanine scanning mutagenesis:
Introduce sequential alanine substitutions in identified peptide region
Test effect on antibody binding
Identify critical residues for epitope recognition
Hydrogen-deuterium exchange mass spectrometry:
Compare H/D exchange patterns of ZK1098.4 alone versus antibody-bound
Identify regions protected from exchange upon antibody binding
This multi-faceted approach provides comprehensive characterization of antibody-epitope interactions, enabling better experimental design and interpretation.
Adaptation of ZK1098.4 antibody for high-throughput applications requires optimization of several parameters:
High-Throughput Implementation Strategy:
ELISA-based screening:
Automated Western blot analysis:
Implement capillary-based immunoassay systems
Optimize antibody concentration for reduced consumption
Develop standardized analysis parameters
High-content imaging:
Optimize immunofluorescence protocol for automated microscopy
Develop image analysis algorithms for ZK1098.4 detection
Create machine learning classifiers for phenotype identification
Multiplexed detection systems:
Conjugate ZK1098.4 antibody with unique fluorophores or barcodes
Combine with antibodies against other proteins of interest
Develop analysis pipelines for deconvolution of signals
These approaches build upon methodologies developed for other antibody-based high-throughput assays, such as those used in lateral flow immunoassays for foot-and-mouth disease virus detection .
Developmental studies present unique challenges and opportunities for antibody applications:
Developmental Study Framework:
Stage-specific expression analysis:
Synchronize worm populations at key developmental stages
Extract proteins from equal numbers of worms per stage
Perform Western blot analysis with ZK1098.4 antibody
Quantify relative expression across development
Tissue-specific localization during development:
Functional perturbation strategies:
Generate temperature-sensitive or developmentally regulated RNAi
Monitor ZK1098.4 levels during critical developmental windows
Correlate protein levels with phenotypic outcomes
Integration with transcriptomic data:
Compare protein expression patterns with mRNA expression data
Identify potential post-transcriptional regulation
Analyze correlation between protein expression and phenotype
This integrated approach provides insights into the developmental roles of ZK1098.4, building upon methodologies used in large-scale genomic studies in C. elegans .
For researchers considering translational applications or working with multiple model systems:
Cross-Reactivity Assessment Protocol:
In silico analysis:
Perform BLAST searches of ZK1098.4 epitope against human proteome
Identify proteins with significant sequence similarity
Predict potential cross-reactive epitopes
Western blot screening:
Test ZK1098.4 antibody against human cell line lysates
Include C. elegans lysate as positive control
Document any cross-reactive bands
Immunoprecipitation-mass spectrometry:
Validation of identified cross-reactants:
Express recombinant human proteins identified in steps 1-3
Test direct binding of ZK1098.4 antibody
Determine binding affinity for cross-reactive proteins
Understanding potential cross-reactivity is crucial for experimental design and interpretation, particularly in comparative studies between model organisms and humans.
Batch-to-batch variation is a significant concern in antibody research. A systematic validation approach includes:
Batch Validation Protocol:
Side-by-side comparison:
Run Western blots with old and new batches on identical samples
Compare band intensity, specificity, and background
Calculate correlation coefficient between signal intensities
Titration curve analysis:
Generate antibody dilution series (1:100 to 1:10,000)
Compare EC50 values between batches
Document any shifts in optimal working concentration
Epitope recognition verification:
Test reactivity against epitope-containing peptide
Perform peptide competition assay
Compare inhibition curves between batches
Functional validation:
| Validation Parameter | Acceptance Criteria | Method |
|---|---|---|
| Band intensity variation | <20% difference | Densitometry of Western blots |
| Background signal | <15% of specific signal | Signal-to-noise ratio measurement |
| Optimal working dilution | Within 2-fold of reference | Titration curve analysis |
| Epitope recognition | >80% competition at equal peptide concentration | Peptide competition assay |
Implementation of these validation procedures ensures experimental continuity and reproducibility across studies.
For researchers investigating potential DNA-binding or chromatin-associated functions:
ChIP Protocol Optimization:
Cross-linking optimization:
Test formaldehyde concentrations (0.5-2%)
Optimize cross-linking times (5-20 minutes)
Include native ChIP (no cross-linking) as alternative approach
Chromatin fragmentation:
Optimize sonication parameters for C. elegans samples
Target fragment size of 200-500 bp
Verify fragmentation by agarose gel electrophoresis
Immunoprecipitation conditions:
ChIP-qPCR validation:
Design primers for candidate target regions
Include positive control regions (if known)
Calculate enrichment relative to input and IgG control
Data analysis considerations:
For ChIP-seq, use appropriate peak-calling algorithms
Compare binding sites with known regulatory elements
Integrate with transcriptomic data for functional interpretation
These methodological considerations address the specific challenges of ChIP applications in C. elegans, building upon established protocols for protein-DNA interaction studies.
Protein degradation can significantly impact experimental outcomes. A comprehensive strategy includes:
Degradation Prevention Protocol:
Optimized extraction buffer:
Extraction method comparison:
Test different lysis methods (sonication, homogenization, freeze-thaw)
Compare protein integrity by Western blot
Identify method minimizing degradation
Time-course stability analysis:
Extract protein using optimized method
Aliquot and store at different temperatures (-80°C, -20°C, 4°C)
Test aliquots at different time points (0h, 24h, 72h, 1 week)
Determine optimal storage conditions
Sample preparation optimization:
Test different reducing agents (β-mercaptoethanol vs. DTT)
Compare denaturation temperatures (37°C, 55°C, 95°C)
Optimize sample buffer composition
These approaches are based on established protocols for working with labile proteins in C. elegans, similar to those used in activity-based protein profiling studies .
Tissue-specific applications require tailored approaches:
Tissue-Specific Optimization Framework:
Fixation protocol optimization:
Compare fixatives (paraformaldehyde, methanol, Bouin's)
Optimize fixation times for different tissues
Test antigen retrieval methods if needed
Permeabilization strategies:
For cuticle: Test freeze-crack, collagenase treatment, or reduction-oxidation
For internal tissues: Optimize detergent concentration and exposure time
Balance permeabilization with epitope preservation
Blocking optimization:
Test tissue-specific autofluorescence quenching methods
Optimize blocking agents to minimize background
Include tissue-specific blocking components (e.g., acetylated BSA for nervous tissue)
Signal amplification considerations:
For low-abundance expression: Consider tyramide signal amplification
For multi-labeling: Use appropriate fluorophore combinations
For thick tissues: Optimize clearing methods
These methodological considerations address tissue-specific challenges encountered in C. elegans immunostaining, building upon approaches used in developmental and protein localization studies .