Western Blotting (WB):
Dilution range: 1:100–1:1,000 for detection of PLS3 in lysates from breast cancer cells, fibroblasts, and microvilli .
Cancer research: PLS3 is overexpressed in triple-negative breast cancer (TNBC) and HER2-negative subtypes, correlating with poor prognosis .
Immunofluorescence (IF):
Cytoplasmic and nuclear localization observed in breast cancer cells and disseminated tumor cells (DTCs) .
Immunohistochemistry (IHC):
Biomarker Potential:
PLS3 mRNA levels in peripheral blood correlate with CTC presence in metastatic breast cancer, with 65.5% of patients testing positive .
Multivariate analysis shows PLS3 expression independently predicts poor DFS (HR = 2.67, P = 0.0013) and OS (HR = 4.34, P = 0.0023) .
Cancer Pathophysiology:
PLS3 stabilizes F-actin bundles, facilitating cancer cell migration and invasion .
Co-expression with epithelial-to-mesenchymal transition (EMT) markers highlights its role in metastasis .
Avivasysbio. PLS3 Antibody : FITC (OABF01285-FITC).
Abcam. Anti-T Plastin/PLS3 antibody (ab233104).
Qtonics. PLS3 Antibody, FITC conjugated.
PMC4453677. Circulating tumour cell-derived plastin3 is a novel marker for identifying groups at risk of recurrence or with a poor prognosis.
PMC8257523. Plastin 3 in health and disease: a matter of balance.
Abbexa. Plastin-3 (PLS3) Antibody (FITC).
PLS3 (Plastin 3, also known as T-plastin) is an actin-bundling protein found in intestinal microvilli, hair cell stereocilia, and fibroblast filopodia . The protein plays a crucial role in the regulation of bone development . As an important cytoskeletal protein involved in cellular structure and function, PLS3 has become a significant target for research in developmental biology, cellular mechanics, and disease pathology. PLS3 antibodies are essential tools for studying the expression patterns, localization, and interactions of this protein in various tissues and experimental models.
While the search results primarily feature polyclonal PLS3 antibodies , understanding the distinction is critical for experimental design:
| Feature | Polyclonal PLS3 Antibodies | Monoclonal PLS3 Antibodies |
|---|---|---|
| Epitope Recognition | Multiple epitopes across PLS3 | Single specific epitope |
| Signal Strength | Generally stronger due to multiple binding sites | May require signal amplification |
| Batch-to-Batch Variation | Higher variability | Consistent performance |
| Background | Potentially higher non-specific binding | Generally cleaner background |
| Applications | Excellent for detection of low-abundance proteins | Preferred for highly specific applications |
| FITC Conjugation Impact | Variable effects on different epitope-binding populations | Consistent effect on binding capacity |
For most research applications where signal detection is prioritized, polyclonal FITC-conjugated PLS3 antibodies offer robust detection, while applications requiring absolute epitope specificity might benefit from monoclonal alternatives.
Determining optimal working dilutions requires systematic titration rather than relying solely on manufacturer recommendations. While general guidelines suggest 0.5-2 μg/ml for Western blotting and 5-20 μg/ml for IHC and IF/ICC applications , these ranges should be validated in your specific experimental system.
Methodological approach:
Prepare serial dilutions spanning and extending beyond the recommended range
Test on positive control samples with known PLS3 expression
Include negative controls (samples without PLS3 expression)
Evaluate signal-to-noise ratio, not just signal intensity
Consider that FITC-labeling index affects both sensitivity and non-specific binding
Document the optimization process systematically in a table format recording dilution, exposure time, signal intensity, and background for each application to establish reproducible protocols for your specific experimental conditions.
A robust experimental design with FITC-conjugated PLS3 antibodies requires multiple controls to ensure reliable interpretation:
Positive tissue/cell controls: Samples with confirmed PLS3 expression (e.g., fibroblasts, specific intestinal cells)
Negative tissue/cell controls: Samples with confirmed absence of PLS3 expression
Isotype control: FITC-conjugated rabbit IgG at the same concentration to assess non-specific binding
Autofluorescence control: Untreated samples to establish baseline fluorescence
Cross-reactivity controls: Samples containing potential cross-reactive proteins
Absorption control: Pre-incubation of the antibody with recombinant PLS3 protein to confirm specificity
FITC quenching control: To assess photobleaching effects during imaging
These controls help distinguish between true positive staining and artifacts, particularly important given that FITC conjugation can impact both sensitivity and specificity of antibody binding .
Successful multiplexing with FITC-conjugated PLS3 antibodies requires careful consideration of spectral properties and staining protocols:
Spectral separation planning:
Sequential vs. simultaneous staining:
If antibodies are from different host species: simultaneous staining possible
If antibodies are from the same host: sequential staining with blocking steps required
Cross-talk prevention:
Include single-color controls for each fluorophore
Apply spectral unmixing during image acquisition if available
Consider photobleaching properties of FITC when designing imaging sequence
Optimization strategy:
Test antibodies individually before combining
Adjust concentrations to achieve comparable signal intensities
Validate that co-staining doesn't alter individual staining patterns
Remember that FITC is more prone to photobleaching than some newer fluorophores, so consider this limitation when designing time-intensive imaging experiments or when repeated imaging of the same field is required.
FITC-conjugated antibodies require specific handling practices to maintain their fluorescent properties and binding capacity:
Storage temperature: Store aliquoted antibody at -20°C for long-term storage . Some suppliers recommend -80°C for extended periods .
Light protection: FITC is highly photosensitive; always store and handle in amber tubes or wrapped in aluminum foil to prevent photobleaching.
Aliquoting strategy: Upon receipt, prepare small single-use aliquots to avoid repeated freeze-thaw cycles .
Buffer considerations: The antibody is typically supplied in PBS (pH 7.4) with glycerol (50%) and preservatives like Proclin-300 (0.03-0.05%) . Maintain these conditions when diluting.
Working solution stability: Freshly prepared dilutions should ideally be used within 24 hours. If necessary, working dilutions can be stored at 4°C protected from light for up to one week, but sensitivity may decrease.
Transportation: Always transport on ice and protected from light.
Quality control: Before each important experiment, verify fluorescence activity using a small sample under fluorescent microscopy.
These practices will significantly extend the functional lifespan of your FITC-conjugated PLS3 antibody and ensure consistent experimental results.
Optimizing IHC protocols for FITC-conjugated PLS3 antibodies requires tissue-specific adaptations:
Fixation considerations:
Formalin-fixed tissues: Ensure optimal antigen retrieval (typically heat-induced epitope retrieval at pH 6.0 or 9.0)
Fresh frozen tissues: Test both acetone and 4% paraformaldehyde fixation to determine optimal preservation of both antigen and tissue morphology
Blocking optimization:
Include both protein blocking (3-5% BSA or serum) and permeabilization steps
For tissues with high autofluorescence (like liver), add an autofluorescence quenching step
For tissues with endogenous biotin, include a biotin/avidin blocking step
Antibody concentration ranges:
Incubation parameters:
Test both overnight incubation at 4°C and 2-hour incubation at room temperature
Always incubate in humidified chambers and protected from light
Signal detection optimization:
Avoid embedding media containing fluorescence preservatives that might interfere with FITC spectra
Use mounting media containing anti-fade agents specifically compatible with FITC
Remember that FITC-labeling can affect binding characteristics , so validation against unconjugated primary plus FITC-secondary approach may help distinguish between true and artificial staining patterns.
Quantitative analysis of PLS3 expression by flow cytometry requires careful standardization:
Standardization approach:
Use calibration beads with defined FITC fluorescence intensities to create a standard curve
Convert arbitrary fluorescence units to Molecules of Equivalent Soluble Fluorochrome (MESF)
Include standardized cells with known PLS3 expression levels as internal references
Controls for accurate quantification:
Unstained cells to establish autofluorescence baseline
Isotype control (FITC-conjugated rabbit IgG) at identical concentration
Compensation controls if performing multicolor analysis
Blocking controls to confirm specificity
Gating strategy:
First gate on viable cells (using viability dye)
Apply consistent FSC/SSC gates across samples
Use fluorescence minus one (FMO) controls to set positive/negative boundaries
Analysis metrics:
Mean or median fluorescence intensity (MFI) rather than percentage positive
Relative expression index: Sample MFI divided by isotype control MFI
Consider using resolution index: (Sample mean - control mean) / (2 × √(sample SD² + control SD²))
Normalization approaches:
Normalize to housekeeping protein if performing permeabilized cell staining
Consider using Quantitative Flow Cytometry (QFCM) with beads of known antibody binding capacity
This methodological approach provides more reliable quantitative data than simple positive/negative classification, especially important for PLS3 which may show varying expression levels in different cell populations.
Distinguishing specific from non-specific signals requires systematic analysis:
Control-based approach:
Compare to FITC-conjugated isotype control at the same concentration
Evaluate pre-absorption controls where antibody is pre-incubated with recombinant PLS3
Test in tissues/cells known to be negative for PLS3 expression
Validate with alternative PLS3 antibodies targeting different epitopes
Signal pattern analysis:
Specific PLS3 staining should follow its known subcellular localization patterns
Diffuse cytoplasmic signal without anatomical correlation suggests non-specific binding
Membranous staining for PLS3 would be suspicious as it's primarily cytoplasmic/cytoskeletal
FITC-specific considerations:
Technical validation:
Compare results from multiple applications (IF, IHC, WB) for consistency
Correlate with mRNA expression data where available
Consider secondary validation with mass spectrometry or other protein detection methods
Remember that the relationship between FITC labeling index and both sensitivity and non-specificity is critical, as higher labeling can increase detection but may compromise specificity .
When facing weak or absent signals, consider this systematic troubleshooting approach:
Antibody functionality assessment:
Protocol optimization:
Increase antibody concentration (up to 2-3× recommended concentration)
Extend incubation time (overnight at 4°C instead of 1-2 hours)
Optimize antigen retrieval methods (test multiple pH buffers and retrieval times)
Increase permeabilization for intracellular staining
Sample-specific factors:
Check tissue fixation (overfixation can mask epitopes)
Ensure sample freshness (degraded samples may lose antigenicity)
Verify sample preparation (processing artifacts can impact antibody access)
Consider biological variation in PLS3 expression levels
Detection system enhancement:
Use anti-FITC amplification systems if available
Optimize microscope settings (exposure, gain, etc.)
Switch to more sensitive detection systems
Consider alternative conjugated fluorophores with greater photostability
Experimental design revision:
Try unconjugated primary PLS3 antibody with FITC-conjugated secondary
Test alternative PLS3 antibodies recognizing different epitopes
Consider RNA-level validation via in situ hybridization
Document all troubleshooting steps methodically to establish an optimized protocol for future experiments.
Quantitative analysis of fluorescence microscopy data requires rigorous normalization procedures:
Image acquisition standardization:
Use identical exposure settings, gain, and offset across all experimental groups
Avoid saturation in brightest samples by setting exposure below maximal pixel values
Acquire calibration images using standardized FITC beads in each session
Include flat-field correction to account for illumination heterogeneity
Background subtraction methods:
Apply rolling ball algorithm for uniform background
Use region of interest (ROI) from negative tissue areas for local background
Subtract mean fluorescence of isotype control samples
Normalization strategies:
Normalize to reference fluorophore (nuclear dye or constitutive marker)
Use relative fluorescence units (RFU) compared to standard sample
Calculate corrected total cell fluorescence (CTCF) = Integrated Density - (Area × Mean background fluorescence)
Quantification approaches:
Mean fluorescence intensity within defined ROIs
Integrated density measurements for total signal
Colocalization coefficients if performing double staining (Pearson's, Mander's)
Distribution analysis (cytoplasmic vs. membrane vs. nuclear)
Statistical analysis considerations:
Account for autofluorescence variation between tissues/samples
Apply appropriate statistical tests based on data distribution
Use sufficient biological and technical replicates (minimum n=3)
Consider potential photobleaching effects during quantification
These methodological approaches ensure reliable and reproducible quantification that can be compared across experiments and between research groups.
FITC conjugation can significantly impact antibody performance characteristics:
Binding kinetics alterations:
FITC labeling typically reduces association rates (kon) due to steric hindrance
Higher FITC-labeling indices correlate negatively with binding affinity
The dissociation constant (KD) may increase 2-5 fold depending on labeling density
Equilibrium binding time may need extension compared to unconjugated antibodies
Epitope accessibility effects:
FITC molecules (389 Da) add substantial mass to lysine residues
Lysines near the antigen-binding site experience greater impact on recognition
Conformational epitopes are typically more affected than linear epitopes
Multiple FITC molecules can alter antibody folding and flexibility
Methodological approaches to characterize impact:
Surface Plasmon Resonance (SPR) comparing labeled vs. unlabeled antibodies
Competitive binding assays with labeled vs. unlabeled antibody
Epitope mapping before and after conjugation
Dose-response curves to calculate EC50 shifts after conjugation
Experimental compensation strategies:
Select antibodies with optimal FITC-labeling indices (moderate labeling)
Extend incubation times to reach binding equilibrium
Increase antibody concentration to compensate for reduced affinity
Consider site-specific conjugation methods that avoid antigen-binding regions
Understanding these molecular interactions helps researchers select appropriately labeled antibodies and design experiments that account for altered binding properties.
Advanced protein interaction studies require sophisticated methodological approaches:
Proximity Ligation Assay (PLA) with FITC readout:
Adapt standard PLA protocols to use FITC-conjugated PLS3 antibody as one of the detection antibodies
Optimize oligonucleotide-conjugated secondary antibody concentration
Use rolling circle amplification with complementary FITC-labeled oligonucleotides
Validate specificity with appropriate controls (single antibody, non-interacting protein pairs)
Combined Immunoprecipitation and Fluorescence Detection:
Use FITC-conjugated PLS3 antibody for immunoprecipitation
Analyze precipitated complexes by fluorescence scanning after SDS-PAGE
Quantify co-precipitated proteins using fluorescence intensity ratios
Validate with reverse immunoprecipitation using antibodies against putative interacting partners
Live-cell FRET microscopy approaches:
Combine FITC-conjugated PLS3 antibody microinjection with cells expressing potential interacting partners tagged with compatible FRET acceptors
Calculate energy transfer efficiency using acceptor photobleaching or sensitized emission
Perform controls with non-interacting proteins and spectral bleed-through corrections
Map interaction domains through deletion construct experiments
FITC-based FLIM (Fluorescence Lifetime Imaging Microscopy):
Measure FITC fluorescence lifetime changes when bound to target vs. when in proximity to interaction partners
Distinguish specific interactions from co-localization based on lifetime shifts
Create lifetime maps to visualize interaction microdomains within cells
Correlate with functional cellular assays to determine biological significance
These advanced methodologies provide multidimensional data on both PLS3 localization and its physical interactions with other cellular components.
Building on emerging research in pH-dependent epitope grafting , FITC-conjugated PLS3 antibodies offer unique opportunities for therapeutic development:
pH-Dependent FITC-pHLIP Conjugate Design:
Adapt the pHLIP (pH Low Insertion Peptide) system for PLS3-expressing cancer targeting
Engineer FITC-conjugated antibodies with pH-sensitive linkers that expose epitopes selectively in acidic tumor microenvironments
Optimize FITC:antibody ratio to balance detection sensitivity with binding specificity
Develop dual-function constructs where FITC serves as both imaging reporter and immune engager
Experimental validation methodology:
Test pH-dependent binding in gradient systems mimicking tumor microenvironment
Quantify antibody recruitment to cancer cells using fluorescence-based assays
Compare binding profiles of differently labeled antibodies across pH ranges
Validate specificity using PLS3-knockdown cancer cell models
Translational research applications:
Design therapeutic monitoring systems using FITC fluorescence as biomarker
Develop theranostic approaches combining PLS3-targeting with FITC-based readouts
Establish image-guided surgical applications using FITC fluorescence for tumor margin detection
Create companion diagnostic protocols using FITC signal intensity for patient stratification
Advanced antibody engineering considerations:
Integrate site-specific FITC conjugation to preserve critical binding domains
Combine with complementary epitopes for enhanced immune recognition
Develop bispecific formats targeting both PLS3 and immune effector cells
Engineer antibody fragments with optimized tissue penetration while maintaining FITC signal
This frontier research area represents the intersection of basic PLS3 biology, antibody technology, and translational cancer therapeutics with significant potential for clinical development.
Integrating FITC-conjugated PLS3 antibody data with other omics platforms requires careful methodological alignment:
Validation against transcriptomics:
Correlate protein detection levels with PLS3 mRNA expression
Account for potential post-transcriptional regulation
Design validation experiments using cells with manipulated PLS3 expression
Consider temporal dynamics of RNA vs. protein expression
Integration with proteomics data:
Compare antibody-based detection with mass spectrometry quantification
Validate isoform specificity against proteomics datasets
Develop normalization strategies to align antibody-based and MS-based quantification
Cross-validate modification-specific detection between platforms
Correlation with functional genomics:
Design parallel experiments using CRISPR-modified PLS3 models
Validate antibody specificity in knockout/knockdown systems
Quantify dose-dependent relationships between gene expression and protein detection
Establish calibration curves for meaningful cross-platform comparison
Future methodology development needs:
Standardized reporting formats for antibody validation across platforms
Development of universal calibration standards for cross-laboratory comparability
Integration of machine learning approaches for pattern recognition across multi-omics datasets
Automated analysis pipelines connecting imaging data with molecular profiling results