plac8.2 (also known as Zgc:158845 protein) is a zebrafish (Danio rerio) protein that belongs to the PLAC8 family. Human PLAC8 (placenta-specific gene 8 protein, also known as Protein C15) is a 12 kDa protein initially identified in placental tissue. The plac8.2 protein represents one of the zebrafish orthologs of the human PLAC8. Research has implicated PLAC8 family proteins in diverse biological processes including cell proliferation, autophagy, and immune responses .
The plac8.2 Antibody, FITC conjugated is a rabbit polyclonal antibody specifically raised against a peptide sequence from Zebrafish Zgc:158845 protein (amino acids 5-19) . Its reactivity is primarily with zebrafish samples. The antibody is provided in liquid form, with a buffer composition of PBS containing 0.03% Proclin 300 as a preservative and 50% glycerol at pH 7.4. The product undergoes Protein G purification with purity greater than 95%. For long-term storage, the manufacturer recommends storing at -20°C or -80°C and avoiding repeated freeze-thaw cycles .
When investigating plac8.2 expression patterns during zebrafish development, a comprehensive experimental design should include:
| Stage | Experimental Protocol | Controls | Analysis Method |
|---|---|---|---|
| Collection | Collect embryos at key developmental timepoints (4-cell, 16-cell, shield, 24 hpf, 48 hpf, 72 hpf) | Age-matched wild-type embryos | N/A |
| Fixation | Fix embryos in 4% paraformaldehyde (4-24 hours depending on stage) | Fixation time controls | N/A |
| Permeabilization | 0.1-0.5% Triton X-100 in PBS (10-30 minutes) | Permeabilization efficiency test | N/A |
| Blocking | 1-5% BSA or normal serum in PBS (1-2 hours) | Blocking buffer variations | N/A |
| Primary staining | plac8.2 Antibody, FITC conjugated (1:100-1:500 dilution) | Isotype control, unstained control | Confocal microscopy, flow cytometry |
| Counterstaining | DAPI for nuclei visualization | Single stain controls | N/A |
| Parallel validation | In situ hybridization for plac8.2 mRNA | Sense probe control | Brightfield/fluorescence microscopy |
| Quantification | Fluorescence intensity measurement across developmental stages | Background fluorescence | ImageJ/Fiji analysis software |
For quantitative analysis, consider dissociating embryos at different stages for flow cytometry to quantify the percentage of plac8.2-positive cells and their fluorescence intensity .
A rigorous immunofluorescence experiment using plac8.2 Antibody, FITC conjugated requires the following controls:
| Control Type | Purpose | Implementation |
|---|---|---|
| Unstained control | Assess autofluorescence | Process tissue without any antibody |
| Isotype control | Evaluate non-specific binding | Use FITC-conjugated non-specific rabbit IgG at the same concentration |
| Absorption control | Validate specificity | Pre-absorb antibody with immunizing peptide before staining |
| Positive control | Confirm detection capability | Use tissue known to express plac8.2 (refer to expression databases) |
| Negative control | Confirm specificity | Use tissue known not to express plac8.2 |
| Genetic control | Ultimate specificity test | Use plac8.2 knockout/knockdown zebrafish tissue |
| Single stain control | For multicolor experiments | Stain separate samples with each fluorophore individually |
| Secondary-only control | Background from secondary (if used) | Omit primary antibody but include secondary antibody |
These controls help distinguish between specific signal and artifacts, which is crucial for accurate interpretation of plac8.2 localization and expression patterns .
To determine the optimal antibody dilution for flow cytometry:
Prepare single-cell suspensions from zebrafish tissues known to express plac8.2
Aliquot equal numbers of cells (typically 1×10^6 cells per tube) into multiple samples
Test a titration series of antibody dilutions:
| Dilution | Antibody Volume (μl) | Buffer Volume (μl) | Total Volume (μl) |
|---|---|---|---|
| 1:50 | 2 | 98 | 100 |
| 1:100 | 1 | 99 | 100 |
| 1:200 | 0.5 | 99.5 | 100 |
| 1:500 | 0.2 | 99.8 | 100 |
| 1:1000 | 0.1 | 99.9 | 100 |
Include controls listed in question 2.2
Incubate cells with antibody for 30-60 minutes on ice in the dark
Wash cells twice with flow cytometry buffer (PBS with 1-2% FBS)
Analyze samples, recording:
Mean/median fluorescence intensity
Signal-to-noise ratio (comparing to isotype control)
Percentage of positive cells
Plot a titration curve showing signal-to-noise ratio versus antibody concentration
Select the dilution at the beginning of the plateau phase of the curve
The optimal dilution provides maximum specific signal with minimal background and economical antibody usage .
Based on human PLAC8's role in immune function and sepsis , you can design comparative studies to investigate functional conservation:
Baseline expression profiling:
Use flow cytometry with plac8.2 Antibody, FITC conjugated to characterize expression in zebrafish immune cell populations
Compare distribution patterns with known human PLAC8 expression in immune cells
Perform dual immunofluorescence with markers for macrophages, neutrophils, and lymphocytes
Immune challenge experiments:
Design parallel experiments in zebrafish and human cell models:
| Parameter | Zebrafish Study | Human Comparative Data |
|---|---|---|
| Immune stimulus | LPS injection (1-10 μg/ml) | LPS treatment of human monocytes |
| Timepoints | 2h, 6h, 12h, 24h post-stimulation | Same timepoints |
| Detection method | plac8.2 Antibody, FITC for zebrafish | Human PLAC8 antibody |
| Pathway analysis | pERK levels by Western blot | pERK levels by Western blot |
| Cytokine profile | TNF-α, IL-6, IL-10 by ELISA | TNF-α, IL-6, IL-10 by ELISA |
| Cell proliferation | CCK-8 assay | CCK-8 assay |
ERK pathway analysis:
Genetic manipulation approaches:
Generate plac8.2 knockout zebrafish using CRISPR/Cas9
Compare immune phenotypes to human PLAC8-deficient cells
Look for conserved functions in phagocytosis, cytokine production, and cell survival
This cross-species approach will reveal whether the plac8.2-ERK pathway in zebrafish functionally parallels the PLAC8-ERK interaction observed in human sepsis models .
Based on the known role of human PLAC8 in autophagy , you can design experiments to investigate plac8.2's role in zebrafish autophagy:
Colocalization with autophagy markers:
Perform dual immunofluorescence with plac8.2 Antibody, FITC conjugated and antibodies against LC3-B (autophagosome marker)
Analyze colocalization under basal conditions and after autophagy induction
Quantify Pearson's correlation coefficient between plac8.2 and LC3-B signals
Autophagy induction experiments:
| Condition | Treatment | Duration | Analysis Method |
|---|---|---|---|
| Starvation | Embryo medium without nutrients | 12-24h | IF, Western blot |
| Rapamycin | 1-10 μM | 6-24h | IF, Western blot |
| Heavy metals | Cadmium (1-5 μM) | 24-48h | IF, Western blot |
| Bafilomycin A1 | 100 nM | 4-8h | IF, Western blot |
Genetic approaches:
Knockdown plac8.2 using morpholinos or CRISPR/Cas9
Monitor changes in autophagy markers (LC3-II/LC3-I ratio)
Assess autophagic flux using tandem-fluorescent LC3 reporters
Rescue experiments with human PLAC8 to test functional conservation
Cadmium exposure model:
Understanding plac8.2's role in autophagy could reveal conserved mechanisms between zebrafish and humans, potentially informing studies on cellular stress responses and heavy metal toxicity .
To establish meaningful correlations between protein and mRNA expression:
Parallel sample analysis:
Divide samples for protein detection with plac8.2 Antibody, FITC conjugated and RNA extraction for qRT-PCR
Process samples from the same experimental conditions and timepoints
Generate paired data points for correlation analysis
Sequential analysis in tissue sections:
Document plac8.2 protein localization using immunofluorescence
Perform in situ hybridization on the same or adjacent sections
Use computational image alignment to correlate protein and mRNA signals
Time-course experiments:
| Timepoint | Protein Analysis | mRNA Analysis | Correlation Metric |
|---|---|---|---|
| Baseline | Flow cytometry MFI | qRT-PCR (2^-ΔCt) | Pearson's r |
| 2h post-stimulus | Flow cytometry MFI | qRT-PCR (2^-ΔCt) | Pearson's r |
| 6h post-stimulus | Flow cytometry MFI | qRT-PCR (2^-ΔCt) | Pearson's r |
| 12h post-stimulus | Flow cytometry MFI | qRT-PCR (2^-ΔCt) | Pearson's r |
| 24h post-stimulus | Flow cytometry MFI | qRT-PCR (2^-ΔCt) | Pearson's r |
Cell-type specific analysis:
Sort cell populations based on specific markers
Analyze plac8.2 protein and mRNA in each population
Identify cell types with concordant or discordant expression patterns
Validation with genetic manipulation:
These approaches will reveal the dynamics of plac8.2 expression regulation and potential post-transcriptional mechanisms affecting protein abundance relative to mRNA levels .
High background is a common challenge with fluorescent antibodies. Here are systematic solutions:
| Problem | Cause | Solution |
|---|---|---|
| General high background | Insufficient blocking | Increase blocking time (1-2 hours); try different agents (BSA, normal serum, casein); use higher concentrations (3-5%) |
| Autofluorescence | Zebrafish tissue components | Treat with 0.1% sodium borohydride in PBS (2-5 min); use 0.1% Sudan Black B in 70% ethanol (10-20 min) |
| Non-specific binding | Hydrophobic interactions | Add 0.1-0.3% Triton X-100 to antibody diluent; pre-adsorb antibody with zebrafish tissue homogenate |
| Signal too strong | Excessive antibody concentration | Perform titration experiment (see question 2.3); use 1:500-1:1000 dilution as starting point |
| Edge effects | Drying during incubation | Ensure adequate buffer volume; incubate in humidity chamber; apply hydrophobic barrier around sections |
| Nuclear/nucleolar staining | Common artifact with some antibodies | Validate specificity with knockout/knockdown controls; compare with mRNA expression pattern |
| Inconsistent staining | Variable fixation | Standardize fixation protocol; avoid overfixation; consider antigen retrieval |
| Uneven background | Inadequate washing | Increase wash steps (5-6 times); extend wash duration (15 min each); use gentle agitation |
For zebrafish embryos specifically, the yolk is highly autofluorescent in the green spectrum. Consider deyolking embryos when possible or using longer wavelength fluorophores (if available in alternative antibody formats) .
Comprehensive validation of antibody specificity requires multiple approaches:
Genetic validation:
Use plac8.2 knockout or knockdown zebrafish
Signal should be significantly reduced or eliminated
Method: CRISPR/Cas9 gene editing or morpholino knockdown
Peptide competition assay:
Western blot validation:
Cross-validation with different detection methods:
| Validation Method | Expected Result | Interpretation if Discordant |
|---|---|---|
| Western blot | Single band at ~12-13 kDa | Possible cross-reactivity or post-translational modification |
| qRT-PCR | Expression pattern matching IF | Post-transcriptional regulation or protein stability differences |
| In situ hybridization | Spatial pattern matching IF | Protein trafficking or technical issues with either method |
| Mass spectrometry | Peptide identification | Epitope masking or antibody cross-reactivity |
Heterologous expression:
Express tagged plac8.2 in a non-zebrafish system
Confirm antibody detection of the recombinant protein
Compare with endogenous protein detection
These validation approaches ensure that observed signals truly represent plac8.2 protein rather than artifacts or cross-reactivity .
FITC-conjugated antibodies require special handling to maintain fluorescence intensity and binding capacity:
| Storage Parameter | Recommendation | Rationale |
|---|---|---|
| Storage temperature | -20°C or -80°C | Prevents protein degradation and preserves fluorophore activity |
| Light protection | Store in amber vials or wrapped in aluminum foil | FITC is photosensitive and bleaches upon exposure to light |
| Aliquoting | Prepare 10-20 μl aliquots upon receipt | Minimizes freeze-thaw cycles that degrade antibody and fluorophore |
| Buffer composition | PBS with 50% glycerol and 0.02% sodium azide | Prevents freezing damage and microbial growth |
| Thawing process | Thaw rapidly at room temperature, then place on ice | Minimizes time at temperatures that promote degradation |
| Working solution | Prepare fresh dilutions for each experiment | Diluted antibody is less stable than stock concentration |
| Dilution buffer | PBS with 1% BSA, 0.05% sodium azide, pH 7.4 | Stabilizes antibody and maintains FITC fluorescence |
| Expiration considerations | Test activity after approximately 6-12 months | Fluorophores gradually degrade even with optimal storage |
FITC is particularly sensitive to high pH environments, so maintain buffer pH around 7.2-7.4. To assess potential activity loss, periodically test the antibody on a positive control sample and monitor signal intensity over time .
Comprehensive quantitative analysis requires systematic approaches:
Flow cytometry analysis:
Prepare single-cell suspensions from different tissues
Stain with plac8.2 Antibody, FITC conjugated using standardized protocol
Analyze and quantify:
| Metric | Calculation | Interpretation |
|---|---|---|
| Percent positive | % cells above isotype threshold | Proportion of cells expressing plac8.2 |
| Mean Fluorescence Intensity (MFI) | Average fluorescence of positive population | Expression level per cell |
| Integrated MFI | % positive × MFI | Total expression in tissue |
| Coefficient of Variation | SD/Mean × 100% | Expression heterogeneity |
Immunofluorescence quantification:
Image multiple fields from each tissue section
Use image analysis software (ImageJ/Fiji) to quantify:
Total FITC integrated density
Area of positive staining
Mean pixel intensity in positive regions
Normalize to cell number (DAPI+ nuclei)
Statistical analysis:
Perform multiple biological replicates (n≥3)
Apply appropriate tests:
ANOVA with post-hoc tests for multi-tissue comparison
t-tests for pairwise comparisons
Present with error bars (standard deviation or standard error)
Report p-values and significance levels
Visualization methods:
Heatmaps showing expression across tissues
Box plots showing distribution and outliers
Bar graphs with error bars for comparing means
These quantitative approaches enable objective comparison of plac8.2 expression patterns and correlation with functional data .
Discrepancies between protein and mRNA levels are common and biologically meaningful:
Biological explanations:
| Observation | Potential Explanation | Validation Approach |
|---|---|---|
| High mRNA, low protein | Active miRNA suppression | miRNA inhibitor treatment |
| Low mRNA, high protein | High protein stability | Cycloheximide chase assay |
| Temporal discordance | Protein expression lags behind mRNA | Time-course analysis |
| Spatial discordance | Protein trafficking from synthesis site | Subcellular fractionation |
Technical considerations:
Antibody specificity issues (verify with controls from question 4.2)
RNA probe cross-reactivity with related transcripts
Different detection sensitivities between methods
Sample preparation differences affecting protein vs. mRNA preservation
Validation approaches:
Perform pulse-chase experiments to determine protein half-life
Use translation inhibitors to correlate mRNA and protein dynamics
Examine subcellular localization of protein vs. mRNA
Use alternative detection methods to confirm observations
Functional relevance:
Determine if biological activity correlates better with protein or mRNA levels
Assess if post-transcriptional regulation might be physiologically significant
Consider if the discrepancy reveals regulatory mechanisms specific to plac8.2
Understanding these discrepancies can provide insights into the regulation of plac8.2 and potentially identify novel post-transcriptional mechanisms .
To evaluate functional conservation between species:
Expression pattern comparison:
Map plac8.2 expression in zebrafish tissues using FITC-conjugated antibody
Compare with human PLAC8 expression patterns from literature
Identify anatomically equivalent tissues showing similar expression
Functional domain analysis:
Determine if antibody epitope corresponds to conserved functional domains
Correlate staining patterns with protein structure predictions
Consider if posttranslational modifications affect epitope recognition
Response to stimuli:
Genetic rescue experiments:
Knockdown zebrafish plac8.2
Attempt rescue with human PLAC8 expression
Quantify restoration of phenotype and molecular markers
This provides functional evidence of conservation
Pathway interaction conservation:
These approaches can reveal functional conservation despite species differences and potential divergence in specific regulatory mechanisms .