SORBS3 antibodies are specialized immunoglobulins designed to detect and analyze the SORBS3 protein (encoded by the SORBS3 gene), also known as vinexin. These antibodies enable researchers to study SORBS3’s role in cellular processes, including cytoskeletal dynamics, mechanotransduction, and tumor suppression. They are critical tools in molecular biology, cancer research, and drug discovery.
| Provider | Catalog Number | Antibody Type | References | Applications |
|---|---|---|---|---|
| GeneTex | GTX115362 | Polyclonal | 3 | WB, ICC, IHC |
| LSBio | LS-C155413 | Polyclonal | N/A | WB, IHC |
| NSJ Bioreagents | RQ6010 | Polyclonal | N/A | WB, ICC, IHC, FC |
| Boster Biological | A05794 | Polyclonal | N/A | WB, ICC, IHC, FC |
| antibodies-online | ABIN787641 | Monoclonal | N/A | WB, ICC, IHC |
Note: Validation data for these antibodies are documented in Antibodypedia and provider websites .
SORBS3 functions as a tumor suppressor in hepatocellular carcinoma (HCC). Overexpression of SORBS3α inhibits STAT3 signaling by sequestering STAT3 in the cytoplasm, reducing IL-6 target gene expression (e.g., SPINK1, CRP) and enhancing TTR expression . Antibodies are used to:
Detect SORBS3 in HCC tissues: IHC studies with anti-SORBS3 antibodies (e.g., Boster A05794) reveal protein localization in liver cancer samples .
Study isoform-specific interactions: SORBS3α, but not SORBS3β, binds STAT3 and modulates its transcriptional activity .
SORBS3 regulates focal adhesion (FA) composition and mechanotransduction:
Vinculin interaction: SORBS3 binds vinculin, influencing FA stability and stiffness-dependent signaling. Antibodies confirm co-localization of SORBS3 with vinculin at FAs .
Differential roles: Vinexin-α and CAP (SORBS proteins) increase vinculin-positive FAs and reduce paxillin, while ArgBP2 (another SORBS protein) has minimal impact .
SORBS3 knockdown in neurons and HeLa cells increases autolysosome formation, suggesting a role in autophagic flux. Antibodies validate SORBS3 protein levels in these models .
Mechanism: SORBS3 inhibits STAT3-mediated oncogenic pathways. Overexpression reduces STAT3 transcriptional activity in luciferase reporter assays .
Collaborative effects: SORBS3 and SH2D4A (another 8p tumor suppressor) synergistically suppress STAT3 signaling, enhancing therapeutic potential .
FA composition: SORBS3-re-expressing cells show altered vinculin-to-paxillin ratios, indicating isoform-specific regulation .
Contractility: ArgBP2 (a SORBS family member) enhances actomyosin contractility, contrasting with vinexin-α’s role in FA stiffness adaptation .
Chemical interactions: SORBS3 expression is modulated by toxins (e.g., bisphenol A, tetrachlorodibenzodioxin), as shown in rat models. Antibodies aid in tracking protein levels post-exposure .
SORCS3 is a membrane protein belonging to the VPS10-related sortilin protein family with 1222 amino acid residues in its canonical human form . It is primarily localized in the membrane and highly expressed in the brain, making it particularly relevant for neuroscience research . Also known as VPS10 domain-containing receptor SorCS3 or VPS10 domain receptor protein SORCS 3, this protein's high neural expression suggests important roles in neuronal function, potentially contributing to understanding of neurodevelopment, neurodegeneration, and synaptic plasticity .
SORCS3 antibodies are available in several formats suitable for different experimental needs:
| Antibody Type | Format | Common Applications | Special Considerations |
|---|---|---|---|
| Polyclonal | Typically rabbit-derived | WB, IHC, IF, ICC | Broader epitope recognition but batch variation |
| Monoclonal | Mouse or rabbit derived | WB, ELISA, IF, IHC | Consistent specificity but limited epitopes |
| Recombinant | Engineered expression | WB, IHC, ELISA | High batch consistency and specificity |
Additionally, SORCS3 antibodies can be found with various conjugations, including unconjugated forms and those labeled with fluorophores (Alexa Fluor 488, Alexa Fluor 680, Cy3), enzymes (HRP), or other tags to facilitate detection in specific applications .
SORCS3's structural characteristics significantly impact antibody selection decisions:
Membrane localization: Antibodies targeting extracellular domains are suitable for cell-surface studies and live-cell applications, while those targeting intracellular domains are better for fixed specimens .
Post-translational modifications: SORCS3 undergoes glycosylation, which can affect epitope accessibility . Researchers should consider whether their target epitope might be masked by glycosylation or other modifications.
Protein domains: The VPS10 domain is a defining feature of SORCS3, but it shows homology with other family members . Antibodies targeting this region may cross-react with related proteins, requiring thorough validation.
Species conservation: SORCS3 has orthologs in multiple species including mouse, rat, bovine, zebrafish, chimpanzee, and chicken . When working with animal models, researchers should verify that their chosen antibody recognizes the species-specific form of SORCS3.
SORCS3 antibodies serve several key functions in neuroscience research:
Protein localization: Immunohistochemistry (IHC) and immunofluorescence (IF) are used to visualize SORCS3 distribution in brain regions, neuronal subtypes, and subcellular compartments .
Expression analysis: Western blotting quantifies SORCS3 protein levels in different brain regions, developmental stages, or disease models .
Interaction studies: Immunoprecipitation (IP) helps identify SORCS3 binding partners in neural tissues.
Functional studies: Neutralizing antibodies can block SORCS3 function to assess its role in neuronal processes.
The choice of application should guide antibody selection, as not all SORCS3 antibodies perform equally well across different techniques .
Successful SORCS3 immunohistochemistry in brain tissue depends on appropriate fixation:
For paraffin-embedded sections:
Perfuse animals with 4% paraformaldehyde (PFA) in phosphate buffer.
Post-fix brain tissue in 4% PFA for 24 hours at 4°C.
Process for paraffin embedding using standard protocols.
For antigen retrieval, use citrate buffer (pH 6.0) or EDTA buffer (pH 9.0) depending on the specific antibody recommendations .
For frozen sections:
Perfuse with 4% PFA followed by cryoprotection in 30% sucrose.
Alternatively, use light fixation (2% PFA for 15-30 minutes) for membranous epitopes that may be sensitive to overfixation.
For some antibodies, particularly those recognizing conformational epitopes, fresh-frozen tissue with post-fixation after sectioning may preserve antigenicity better .
Always validate the fixation protocol with your specific SORCS3 antibody, as epitope accessibility can vary with fixation conditions.
Thorough validation of SORCS3 antibodies is essential to ensure experimental rigor:
Positive and negative controls:
Antibody specificity tests:
Pre-adsorption with immunizing peptide should abolish specific signal
Multiple antibodies targeting different SORCS3 epitopes should show consistent localization patterns
Western blot should show a band of expected molecular weight (approximately 135.8 kDa for full-length protein, though glycosylation may increase apparent weight)
Cross-reactivity assessment:
Application-specific validation:
For immunostaining, compare patterns with published SORCS3 mRNA expression
For functional studies, confirm that observed effects are consistent with known SORCS3 biology
Rigorous Western blotting with SORCS3 antibodies requires several controls:
Loading controls:
Housekeeping proteins (β-actin, GAPDH, tubulin) for total protein normalization
Compartment-specific controls (Na+/K+ ATPase for membrane fractions) when analyzing subcellular fractions
Molecular weight markers:
Specificity controls:
Antibody controls:
Primary antibody omission to detect non-specific secondary antibody binding
Isotype control antibody to identify non-specific binding of the primary antibody
Sample preparation controls:
Sample preparation significantly impacts SORCS3 antibody performance:
For Western blotting:
Lysis buffers: RIPA buffer is generally effective, but milder detergents (e.g., 1% NP-40) may better preserve native conformation for some epitopes.
Protease inhibitors are essential to prevent SORCS3 degradation.
Denaturation: Standard SDS-PAGE sample buffer with β-mercaptoethanol works for most epitopes, but some conformational epitopes may require non-reducing conditions.
Deglycosylation: Treatment with PNGase F or similar enzymes can reduce heterogeneity in SORCS3 band patterns caused by glycosylation .
For immunohistochemistry/immunofluorescence:
Antigen retrieval: Heat-induced epitope retrieval in citrate buffer (pH 6.0) or EDTA buffer (pH 9.0) is often necessary for SORCS3 detection in fixed tissues .
Permeabilization: 0.1-0.3% Triton X-100 or 0.1% saponin facilitates antibody access to intracellular domains.
Blocking: 5-10% normal serum matching the species of the secondary antibody plus 1% BSA helps reduce background.
For immunoprecipitation:
Crosslinking may be necessary to capture transient SORCS3 interactions .
Detergent selection is critical—milder detergents preserve protein-protein interactions.
Pre-clearing lysates with protein A/G beads reduces non-specific binding.
Non-specific binding in SORCS3 antibody applications can stem from several sources:
Cross-reactivity with related proteins:
Insufficient blocking:
Increase blocking reagent concentration (5-10% normal serum)
Add 0.1-0.3% Triton X-100 to reduce hydrophobic interactions
Include 1% BSA to reduce non-specific protein interactions
Secondary antibody issues:
Tissue-specific factors:
Endogenous biotin can cause streptavidin-based detection issues
Endogenous peroxidase activity interferes with HRP-based detection
Autofluorescence competes with fluorescent detection
Antibody concentration issues:
Distinguishing specific SORCS3 signal from background requires careful controls and analysis:
Pattern analysis:
Control experiments:
Primary antibody omission should eliminate specific signal
Peptide competition should abolish specific signal
SORCS3 knockdown or knockout tissue should show reduced signal
Dual labeling approaches:
Quantitative analysis:
Compare signal intensity between positive and negative control tissues
Use threshold-based analysis to distinguish signal from background
Technical considerations:
Use confocal microscopy to improve signal discrimination
Employ spectral unmixing for tissues with significant autofluorescence
Z-stack acquisition to confirm three-dimensional localization patterns
Optimizing signal-to-noise ratio in SORCS3 Western blots involves several approaches:
Sample optimization:
Blocking optimization:
Try different blocking agents (5% milk, 5% BSA, commercial blocking buffers)
Extend blocking time (1-2 hours at room temperature or overnight at 4°C)
Antibody optimization:
Washing optimization:
Increase number and duration of washes (5-6 washes of 5-10 minutes each)
Add 0.05-0.1% Tween-20 to wash buffers to reduce hydrophobic interactions
Detection optimization:
Technical considerations:
Use PVDF membranes for better protein retention and signal
Cut membranes to probe SORCS3 and loading controls separately
Strip and reprobe membranes cautiously as this may reduce signal
When different SORCS3 antibodies yield conflicting results, systematic analysis is required:
Epitope considerations:
Methodological analysis:
Reconciliation strategies:
Use antibodies in parallel with consistent protocols to directly compare results
Employ non-antibody methods (e.g., mRNA analysis, tagged protein expression) as independent validation
Consider whether differences reflect actual biological phenomena (isoforms, modifications, processing)
Reporting recommendations:
Document all antibodies used (including catalog numbers and lot numbers)
Clearly describe the methods and conditions for each experiment
Acknowledge and discuss discrepancies in results
Resolution approaches:
Investigating SORCS3 interactions with other VPS10 domain proteins requires specialized techniques:
Co-immunoprecipitation (Co-IP):
Proximity ligation assay (PLA):
Bimolecular fluorescence complementation (BiFC):
Engineer SORCS3 and potential partners with complementary fluorescent protein fragments
Direct visualization of interactions in living cells
Allows temporal analysis of dynamic interactions
FRET/FLIM analysis:
Surface plasmon resonance (SPR) or bio-layer interferometry (BLI):
In vitro methods to measure binding kinetics and affinity
Requires purified SORCS3 (or fragments) and binding partners
Provides quantitative parameters of interaction strength
Analyzing SORCS3 post-translational modifications requires specialized approaches:
Glycosylation analysis:
Compare apparent molecular weight before and after treatment with glycosidases (PNGase F for N-linked glycans, O-glycosidase for O-linked glycans)
Use lectins in parallel with SORCS3 antibodies to characterize glycan structures
Mass spectrometry of immunoprecipitated SORCS3 can identify glycosylation sites
Phosphorylation analysis:
Immunoprecipitate SORCS3 and probe with pan-phospho-antibodies (anti-phospho-serine, -threonine, -tyrosine)
Use phosphatase treatments as controls to confirm phospho-specific signals
Phospho-specific SORCS3 antibodies (if available) can target known phosphorylation sites
Ubiquitination/SUMOylation analysis:
Immunoprecipitate SORCS3 under denaturing conditions to preserve modifications
Probe with anti-ubiquitin or anti-SUMO antibodies
Include proteasome inhibitors in lysates to stabilize ubiquitinated forms
Technical considerations:
Include phosphatase inhibitors in lysis buffers when studying phosphorylation
Add deubiquitinase inhibitors (N-ethylmaleimide) when studying ubiquitination
Consider enrichment methods for modified forms (phospho-peptide enrichment, ubiquitin-binding domains)
Modification-specific antibodies:
If available, antibodies specific to modified forms of SORCS3 allow direct detection
Validate specificity using appropriate positive and negative controls
Use for quantifying modification levels in different conditions
Live-cell imaging with SORCS3 antibodies requires special consideration of several factors:
Antibody format selection:
Labeling strategies:
Cell viability considerations:
Optimize antibody concentration to minimize perturbation of normal function
Include appropriate vehicle controls to assess antibody effects on cell behavior
Monitor cells for signs of stress or altered morphology
Technical approaches:
For tracking studies, use pulse-chase labeling to follow SORCS3 trafficking
For internalization studies, use acid washing to distinguish surface from internalized antibody
For receptor dynamics, combine with FRAP (Fluorescence Recovery After Photobleaching)
Validation approaches:
Developing custom SORCS3 antibodies for specialized research needs involves several key considerations:
Epitope selection strategies:
Target unique regions of SORCS3 to minimize cross-reactivity with other VPS10 domain proteins
Choose extracellular epitopes for live-cell applications
Select conserved epitopes for cross-species reactivity or specific epitopes for species selectivity
Avoid regions with known post-translational modifications unless specifically targeting modified forms
Antibody format options:
Production considerations:
Screening and validation:
Specialized modifications: