SORT1 (Sortilin 1) is a transmembrane receptor critical for protein sorting, endocytosis, and lysosomal degradation. The SORT1 Antibody, FITC conjugated is a fluorescently labeled antibody used to detect and study SORT1 in experimental models. FITC (fluorescein isothiocyanate) enables visualization via flow cytometry, immunofluorescence, or microscopy. Below is a detailed analysis of its structure, applications, and research implications.
SORT1 antibodies target distinct regions of the protein:
Extracellular Domain (AA 320-335): Recognized by polyclonal antibodies (e.g., ABIN7043769) for live-cell imaging and flow cytometry .
Intracellular Regions (AA 328-457, AA 610-754): Targeted by antibodies (e.g., Abbexa’s ABIN7179079) for intracellular sorting studies .
C-Terminal Domain (AA 731-831): Reacts with Bioss’s bs-6329R-FITC for broader reactivity (human, mouse, rat) .
Anti-SORT1 antibodies downregulate SORT1, increasing extracellular PGRN levels. This mechanism is critical for treating frontotemporal dementia (FTD) linked to GRN mutations . Key findings:
Cross-reactive Monoclonal Antibodies: Generated from Sort1 knockout mice, these antibodies bind both human and mouse SORT1, enabling preclinical studies .
Epitope Binning: 29 monoclonal antibodies clustered into 7 groups, with distinct effects on SORT1-PGRN binding and PGRN upregulation .
Therapeutic Potential: Antibodies targeting the extracellular domain show promise in boosting PGRN levels, mitigating neurodegeneration .
SORT1-targeted ADCs leverage its rapid internalization for drug delivery. Key studies:
8D302-MMAE and 8D302-DXd: Humanized antibodies conjugated to MMAE or DXd showed cytotoxicity in breast cancer models. SORT1’s high turnover enhances drug delivery efficiency compared to HER2-targeted ADCs .
Bystander Killing: Both ADCs induced bystander effects, expanding therapeutic potential .
Validation requires three complementary approaches:
Epitope mapping verification using immunogen-blocking experiments. The synthetic peptide DKDTTRRIHVSTDQD (AA 320-335) from human Sortilin extracellular domain should inhibit antibody binding by ≥80% in competitive ELISA .
Cross-reactivity profiling across human, mouse, and rat tissues through parallel immunohistochemistry (IHC) and western blot (WB) analyses using non-conjugated SORT1 antibodies as controls .
Functional validation via siRNA-mediated SORT1 knockdown models, where ≥60% reduction in FITC signal intensity confirms target specificity .
Table 1: Typical validation metrics for SORT1-FITC antibodies
| Parameter | Acceptance Criteria | Experimental Method |
|---|---|---|
| Blocking Efficiency | ≥80% signal reduction | Competitive ELISA |
| Species Reactivity | Human/Mouse/Rat | Multi-species IHC |
| Signal:Noise Ratio | ≥5:1 | Flow cytometry |
Four critical controls must be implemented:
Isotype control: Rabbit IgG-FITC at matching concentration (typically 1-5 μg/mL) to identify non-specific binding .
Temperature control: Parallel samples incubated at 4°C (blocks endocytosis) vs 37°C to distinguish surface vs internalized signals .
Pre-clearing control: Pre-incubation with 100x excess non-conjugated SORT1 antibody to validate binding competition .
Kinetic control: Time-course measurements (0-24h) to account for progressive internalization artifacts .
Recent studies demonstrate 3.8-fold faster lysosomal trafficking of SORT1-FITC conjugates versus HER2 antibodies (T47D cells):
Table 2: Internalization kinetics comparison (T47D breast cancer line)
| Parameter | SORT1-FITC | HER2 Antibody |
|---|---|---|
| 50% Surface Clearance | 2.1 ± 0.3h | 6.8 ± 1.1h |
| Lysosomal Accumulation | 4.7 ± 0.5h | 18.2 ± 2.4h |
| Signal Half-life | 9.3h | 32.6h |
Methodological insights:
Use pH-sensitive fluorophores (e.g., pHrodo™) to track lysosomal delivery
Combine with monensin (10μM) to block receptor recycling for accurate turnover calculations
Employ fluorescence recovery after photobleaching (FRAP) to quantify membrane replenishment rates
Contradictions often arise from:
Epitope accessibility variations due to alternative splicing isoforms (e.g., SORT1A vs SORT1B)
pH-dependent fluorescence quenching in acidic endosomes (FITC pKa ~6.4)
Receptor dimerization states affecting antibody avidity
Perform acid wash (pH 3.0 buffer) to remove internalized antibodies before flow analysis
Use dual labeling with AF647-conjugated SORT1 C-terminal antibody for normalization
Apply mathematical correction for pH-induced signal loss:
A three-phase optimization framework is recommended:
Phase 1: Titration curve analysis
Phase 2: Signal amplification
Add biotinylated secondary antibodies (1:500) with streptavidin-PE (1:1000)
Phase 3: Noise reduction
Pre-block with 5% normal goat serum + Fc receptor inhibitor
Use viability dyes (7-AAD) to exclude dead cell autofluorescence
Advanced analytical approaches include:
Fluorescence correlation spectroscopy (FCS)
Entropy-based population mapping
Identifies rare subclusters using Jensen-Shannon divergence
Effective for detecting <0.1% SORT1+ stem-like cells
Dynamic thresholding algorithms
Key methodological considerations:
Co-localization studies: Combine with AlexaFluor-647 labeled proBDNF (50nM)
Calcium flux monitoring: Use Fura-2 AM (2μM) to track downstream signaling
CRISPR validation: Knockout Sortilin vs empty vector controls
Critical finding: SORT1-FITC binding reduces proBDNF internalization by 67% (p<0.001), confirming competitive inhibition of native receptor function .
A layered imaging protocol:
Optical clearing
Use CUBIC reagent (RT, 24h) to reduce scattering artifacts
Light sheet microscopy
Image penetration depth: 800μm vs 150μm in confocal
Deconvolution algorithms
Apply Richardson-Lucy iterative deconvolution (20 iterations)
Signal validation