This antibody is optimized for quantitative ELISA assays, where its FITC conjugation enhances detection sensitivity . While other FBLN2 antibodies (e.g., ABIN1534904 and ABIN1724692 ) are validated for Western blotting (WB) and immunohistochemistry (IHC), the FITC-conjugated variant is specifically tailored for fluorescence-based methodologies.
FBLN2 has been implicated in multiple pathological and physiological processes:
Cancer Progression: High FBLN2 expression correlates with advanced tumor stages, lymph node metastasis, and poor survival in urothelial carcinoma .
Neurological Disorders: Elevated FBLN2 levels in multiple sclerosis (MS) lesions inhibit oligodendrocyte maturation, impeding remyelination .
Clinical Correlation: In a study of 635 urothelial carcinoma patients, high FBLN2 immunoexpression was linked to aggressive features (e.g., perineural invasion, vascular invasion) and reduced disease-specific survival (HR = 2.306–2.837) .
Mechanistic Insight: FBLN2 activates Notch signaling pathways, promoting epithelial-mesenchymal transition in cancer cells .
Demyelination Models: FBLN2 knockout mice showed enhanced oligodendrocyte maturation and faster recovery from experimental autoimmune encephalomyelitis (EAE) .
Therapeutic Targeting: CRISPR/Cas9-mediated FBLN2 knockdown in astrocytes increased oligodendrogenesis, suggesting therapeutic potential for MS .
Optimal immunofluorescence protocols for FBLN2 detection should follow these methodological steps:
Prepare 5 μm tissue sections (FFPE or frozen)
Perform antigen retrieval using 1 mM EDTA buffer (pH 8) under high pressure
Block sections with 2.5% goat serum for 20-30 minutes at room temperature
Incubate with primary FBLN2 antibody at 1:10,000-1:15,000 dilution for 30 minutes
Wash three times with PBS
Apply Alexa Fluor conjugated secondary antibody (if using unconjugated primary) at 1:1,000 dilution for 20 minutes in darkness
Mount using an antifade reagent containing DAPI
Image using confocal microscopy with a 63× oil immersion lens
For FITC-conjugated FBLN2 antibodies, skip steps 5-6 and proceed directly to mounting after primary antibody incubation, adjusting exposure settings to account for FITC's excitation maximum at 495 nm and emission maximum at 525 nm .
Quantification of FBLN2 expression requires a systematic approach:
Establish a scoring system based on staining intensity and distribution (0=negative to 3=strong)
Assess staining separately in different tissue compartments (epithelium, basement membrane, stroma)
For immunohistochemistry: Score DAB staining intensity visually or using image analysis software
For immunofluorescence: Measure fluorescence intensity using software like ImageJ
Include multiple fields (at least 10 per sample) to account for tissue heterogeneity
Use consistent exposure settings across all samples
Normalize to appropriate housekeeping proteins or internal controls
Compare with other ECM markers such as COLIV, POSTN, TN-C for comprehensive analysis
Research by Rizwan et al. demonstrated effective scoring of FBLN2 expression in 65 breast tumors using this approach, correlating expression patterns with other ECM components .
Rigorous experimental design requires the following controls:
Essential Controls:
Negative control: Primary antibody omission to assess background autofluorescence
Isotype control: Non-specific IgG (rabbit IgG for polyclonal FBLN2 antibodies) at matching concentration
Positive control: Tissue known to express FBLN2 (e.g., mammary gland TEB regions, developing cardiac valves)
Blocking peptide control: Pre-incubation of antibody with recombinant FBLN2 protein (301-440AA region)
Fluorophore control: Unconjugated primary + secondary detection to compare with direct FITC conjugation
Additional Validation Approaches:
siRNA knockdown validation in cell models
Comparison with antibodies targeting different FBLN2 epitopes
Cross-validation with RNA expression data where available
Western blot confirmation of specificity at expected 126.6 kDa (with potential isoforms) .
Optimization of F/P ratio is critical for balancing sensitivity and specificity:
The optimal F/P ratio for antibodies is typically between 2:1 and 6:1
Test different FITC to antibody molar ratios during conjugation:
5:1 ratio typically results in F/P of 1-2
10:1 ratio typically results in F/P of 2-4
20:1 ratio typically results in F/P of 3-6
Avoid over-labeling (F/P > 6) which causes:
Increased non-specific binding
Decreased quantum yield through self-quenching
Altered antibody specificity
For initial optimization, perform small-scale conjugations at different ratios before scaling up
Purify conjugated antibody using gel filtration to remove unconjugated FITC .
Investigation of FBLN2-Notch2 interactions requires specialized protocols:
Co-localization studies:
Use FITC-conjugated FBLN2 antibody alongside Notch2 antibody (with spectrally distinct fluorophore)
Analyze co-localization using confocal microscopy and quantify using Pearson's correlation coefficient
Proximity ligation assay (PLA):
Combine FBLN2 and Notch2 antibodies with oligonucleotide-conjugated secondary antibodies
Proximity (<40 nm) generates fluorescent signal through rolling circle amplification
Quantify interaction events per cell
Immunoprecipitation validation:
Perform IP with anti-FBLN2 antibody followed by Notch2 detection
Technical approach: Transfect cells with 3×Flag-tagged FBLN2, immunoprecipitate with anti-3×Flag or anti-Notch2 antibodies, and detect using respective antibodies
High-affinity binding between Fibulin2 (Ala28–Leu1184) and Notch2 (Leu26–Gln530) has been demonstrated with KD = 1.22 × 10^-9 ± 3.16 × 10^-11
FRET analysis:
Study of FBLN2's ECM functions requires multi-dimensional approaches:
Co-immunostaining protocols:
Combine FBLN2-FITC antibody with antibodies against known binding partners:
Basement membrane: COLIV, laminin (LN111, LN332)
Elastic fibers: Fibrillin-1, elastin
Matrix proteins: Fibronectin, versican
Use spectral unmixing to distinguish FITC from tissue autofluorescence
Temporal analysis of ECM assembly:
Time-course studies during development or wound healing
FBLN2 is strongly associated with pubertal and early pregnant mouse mammary epithelial outgrowth
Correlate with basement membrane formation and integrity
Functional manipulation experiments:
Compare ECM organization in normal vs. FBLN2-depleted conditions
Measure FBLN2 interaction with at least 14 known binding partners:
12 ECM proteins
2 membrane receptors (integrin β3/ITGB3 and integrin α5/ITGA5)
Adhesion assays:
FITC is particularly susceptible to photobleaching, requiring specific preventive measures:
Sample preparation optimization:
Use high-quality antifade mounting media containing anti-photobleaching agents
ProLong® Gold antifade reagent with DAPI is effective for FBLN2 immunofluorescence
Store slides at -20°C in darkness when not being imaged
Imaging parameters:
Minimize exposure time and laser/light intensity
Use neutral density filters to reduce excitation light
Employ frame averaging rather than increased intensity for better signal-to-noise ratio
Consider deconvolution to enhance weak signals post-acquisition
Alternative approaches:
Consider sequential imaging of multiple fields rather than extended exposure of a single field
For time-lapse studies, use time intervals that allow signal recovery
If extensive imaging is required, consider antibodies with more photostable fluorophores (Alexa Fluor conjugates) or indirect immunofluorescence
Storage considerations:
Differentiating specific from non-specific signals requires systematic approach:
Optimization of blocking conditions:
Test different blocking agents: serum (2.5% goat or horse serum), BSA (1-5%), commercial blockers
Extend blocking time from standard 20-30 minutes to 1-2 hours for high background samples
Include 0.1-0.3% Triton X-100 or 0.05% Tween-20 in blocking solution for improved penetration
Antibody titration:
Test dilution series (starting from 1:5,000 to 1:20,000 for FBLN2 antibodies)
Plot signal-to-noise ratio against antibody concentration to identify optimal dilution
Consider the F/P ratio when determining optimal concentration (higher F/P requires lower antibody concentration)
Signal validation approaches:
Competitive inhibition with purified FBLN2 protein (301-440AA region)
Compare staining pattern with mRNA expression (in situ hybridization)
Cross-validate with multiple FBLN2 antibodies recognizing different epitopes
Genetic models: compare wild-type versus FBLN2-knockout tissues
Technical considerations:
FBLN2's role in cancer progression requires specialized experimental approaches:
Tissue microarray analysis protocol:
Compare FBLN2 expression across tumor stages and normal tissue
Score based on staining intensity (0-3 scale) in different compartments
Correlate with clinical parameters and other markers
Cell invasion assays:
Use FBLN2-FITC antibody to track FBLN2 distribution during invasion
Combine with markers of epithelial-mesenchymal transition (EMT)
Co-stain with markers that have been correlated with FBLN2 in cancer:
Vimentin (Vim)
Smooth muscle actin (SMA)
Tenascin-C (TN-C)
Periostin (POSTN)
Functional studies:
Establish FBLN2 knockdown and overexpression cell models using lentiviral vectors
Compare migration, invasion, and metastatic potential
Clinical correlation:
Developmental biology studies of FBLN2 require specific methodological approaches:
Temporal sampling strategy:
Collect tissues at defined developmental stages
For mammary gland: pubertal, pregnancy, lactation, and involution phases
FBLN2 is strongly associated with pubertal and early pregnant mouse mammary epithelial outgrowth
Co-localization analysis:
Use triple immunofluorescence with FBLN2-FITC plus:
Basement membrane markers (laminin, collagen IV)
Cell type markers (epithelial, myoepithelial, stromal)
Analyze using confocal microscopy with Z-stack acquisition
Quantify spatial relationships using 3D reconstruction
Functional correlation:
Study binding partners of FBLN2 during development
FBLN2 has at least 14 known binding partners:
12 ECM proteins
2 membrane receptors (integrin β3 and integrin α5)
Assess basement membrane integrity with/without FBLN2
Compare with knockout models when available
Technical considerations:
Quantitative analysis requires sophisticated image processing approaches:
Image acquisition protocol:
Use consistent exposure settings across all samples
Capture multiple representative fields (minimum 10)
Include Z-stack acquisition (0.5-1μm steps) for 3D analysis
Record both FITC channel and autofluorescence channel for background correction
Computational analysis approaches:
Segment tissue compartments (epithelium, stroma, basement membrane)
Measure fluorescence intensity in each compartment
Quantify linear vs. diffuse staining patterns
Calculate relative distribution patterns normalized to total FBLN2 signal
Advanced metrics:
Co-localization coefficients with basement membrane markers
Spatial correlation with binding partners
Distance mapping from cellular boundaries
Pattern recognition for fibrillar vs. punctate distribution
Statistical analysis:
Binding affinity considerations are crucial for interaction studies:
Quantitative assessment methods:
Measure antibody-antigen affinity using surface plasmon resonance (SPR)
Determine KD values to ensure high-affinity detection
For FBLN2-Notch2 interaction studies, note the high binding affinity:
Fibulin2 (Ala28–Leu1184) displayed high binding affinity for Notch2 (Leu26–Gln530)
KD = 1.22 × 10^-9 ± 3.16 × 10^-11
Experimental design implications:
For high-affinity interactions (nanomolar KD), use lower antibody concentrations
For weaker interactions, consider crosslinking approaches
Account for potential epitope masking in protein complexes
Use gentle washing conditions to preserve weaker interactions
Advanced interaction analysis: