Target: Human Coagulation Factor III (F3), also known as Tissue Factor (TF) or CD142.
Applications:
Flow Cytometry: Detects surface expression of F3 on live, unpermeabilized cells (e.g., platelets, monocytes) .
Immunofluorescence: Stains F3 in fixed and permeabilized cells (e.g., COS-7 transfected with human F3) .
Research Relevance:
F3 (CD142) is implicated in coagulation, HIV-associated coagulopathy, and COVID-19 severity . This antibody is used to study F3’s role in platelet function and immune-coagulation interactions.
Target: Myosin heavy chain type IIB (MYH4).
Applications:
Immunohistochemistry: Detects myosin in skeletal muscle (2–5 µg/ml) .
Western Blot: Recognizes 223 kDa MYH4 protein (0.2–0.5 µg/ml) .
| Characteristic | Details |
|---|---|
| Immunogen | Purified fetal bovine skeletal muscle myosin . |
| Reactivity | Bovine, mouse, porcine, rat, sheep . |
| Clone Type | Monoclonal (mouse IgM) . |
Research Use:
Primarily used in muscle biology and developmental studies, particularly for analyzing myosin isoforms in skeletal muscle fibers .
Target: F3 peptide (C-terminal domain of Leishmania nucleoside hydrolase NH36).
Applications:
Vaccine Development: F3-specific dendritic cells (DCs) enhance T-cell responses against visceral leishmaniasis (VL) .
Immunotherapy: F3-primed DCs reduce parasite loads in infected mice .
F3 vaccination induces 100% survival in C57Bl6 mice, correlating with elevated CD4+ Th1 cytokines (IFN-γ, TNF-α) and restored DC migration (via CCR7 upregulation) .
Compared to NH36-vaccinated mice, F3-vaccinated mice show:
F3, also known as Tissue Factor or Coagulation Factor III (CD142), is a transmembrane glycoprotein that initiates the blood coagulation cascade by functioning as a high-affinity receptor for coagulation factor VII. Beyond hemostasis, F3 plays critical roles in angiogenesis, inflammation, and cell survival pathways. Research has demonstrated its significant implications in various pathologies including thrombotic disorders and cancer . The protein consists of an extracellular domain, a transmembrane region, and a cytoplasmic tail. Mouse F3, for example, is synthesized as a 294 amino acid precursor with a signal peptide (residues 1-28) and the mature chain (residues 29-294), containing a transmembrane region (residues 252-274) and a cytoplasmic tail (residues 275-294) .
F3 antibodies are available in several formats and technologies:
| Antibody Format | Technology Base | Example Products | Applications |
|---|---|---|---|
| Monoclonal | Hybridoma/Recombinant | TAB-473CQ, F3-2, F19, F23 | WB, ELISA, FC, IHC, IF |
| Polyclonal | Animal-raised | PB9701 | FC, IF, IHC, ICC, WB, ELISA |
| Recombinant | DNA technology | CSB-RA776663A0HU | WB, IHC |
Recombinant F3 antibodies offer several advantages over traditional monoclonal antibodies, including increased sensitivity, confirmed specificity, high repeatability, excellent batch-to-batch consistency, sustainable supply, and animal-free production .
For Western blot applications, the protocol should be carefully optimized based on the specific F3 antibody being used. Based on published protocols:
Sample preparation: Load human F3 protein in reduced conditions (0.1-0.6 μg protein range)
Gel separation: Use 12% Tris-HCl polyacrylamide gels
Transfer: Transfer proteins to CN membrane
Blocking: Block with 5% skim milk for at least one hour
Primary antibody incubation: Use 2 μg/mL concentration for optimal signal
Secondary antibody: HRP-conjugated species-specific IgG at 1:5000 dilution
Detection: Use chemiluminescent detection methods
This approach has been documented to yield clear, specific bands for F3 detection . For recombinant F3 antibodies like CSB-RA776663A0HU, dilutions ranging from 1:500-1:5000 are recommended for Western blot applications .
Immunoprecipitation with F3 antibodies requires:
Lysate preparation: Use cell types known to express F3 (monocytes, endothelial cells) or induce expression with LPS in appropriate cell lines (e.g., RAW 264.7)
Pre-clearing: Remove non-specific binding proteins with protein A/G beads
Antibody incubation: Use 2-5 μg of purified F3 antibody per 500 μg of total protein
Bead capture: Incubate with protein A/G beads for 2-4 hours
Washing: Use stringent wash buffers to minimize non-specific binding
Elution: Use either acidic conditions or SDS-PAGE sample buffer
Analysis: Western blot confirmation with a different F3 antibody clone
This approach minimizes non-specific interactions while maximizing target recovery .
Biolayer interferometry (BLI) provides quantitative binding kinetics for F3 antibodies:
Capture F3 antibody on appropriate sensors (e.g., anti-mouse IgG Fc for mouse-derived antibodies)
Establish baseline in buffer
Associate with varying concentrations of F3 antigen (typically 0.1-100 nM range)
Dissociate in buffer
Calculate association rate (kon), dissociation rate (koff), and equilibrium dissociation constant (KD)
Examples from published data show high-affinity binding for many F3 antibodies, with KD values in the picomolar to low nanomolar range. The F3 and F23 antibodies showed KD values of approximately 1 pM, while F19 showed a KD of 0.165 nM . Maximum biolayer thicknesses varied between antibodies (F3: 0.4 nm; F19 and F23: 0.6 nm), suggesting differences in antigen capture capacity .
Epitope determination for F3 antibodies involves multiple complementary approaches:
Peptide mapping: Testing antibody binding to synthesized peptides covering the full F3 sequence
Competition assays: Testing whether unlabeled antibodies block binding of labeled antibodies
Deletion/mutation analysis: Using truncated or mutated F3 proteins to narrow down binding regions
Cross-reactivity analysis: Testing binding to F3 from different species to identify conserved epitopes
Hydrogen-deuterium exchange mass spectrometry: For precise mapping of conformational epitopes
These comprehensive approaches enable researchers to distinguish between antibodies targeting different epitopes, which is crucial for selecting appropriate antibodies for specific applications .
Flow cytometry with F3 antibodies requires special consideration:
Cell preparation: Use gentle enzymatic dissociation to preserve membrane epitopes
Fixation protocol: Optimize to maintain epitope accessibility (e.g., 1-4% paraformaldehyde)
Blocking strategy: Use species-appropriate serum (5-10%) to reduce non-specific binding
Titration: Determine optimal antibody concentration (typically 1-10 μg/mL)
Controls: Include isotype controls matched to primary antibody subclass
Gating strategy: Account for potential heterogeneity in F3 expression levels
Published protocols have demonstrated successful detection of F3 on LPS-stimulated RAW 264.7 cells using 2.5 μg of antibody per 10^6 cells, followed by PE-conjugated secondary antibodies . This approach allows quantification of F3 expression levels across different cell populations.
F3 antibodies have proven valuable in elucidating disease mechanisms through multiple applications:
Cancer research: F3 is implicated in tumor progression
Thrombosis models: F3 initiates coagulation
F3 antibodies can be used to assess tissue factor activity in various vascular disorders and thrombotic conditions
Inflammatory conditions: F3 contributes to inflammation
Hypoxia research: F3 is regulated by oxygen levels
Adipocyte biology: F3 expression in adipose tissue
These applications demonstrate how F3 antibodies serve as critical tools for mechanistic studies across diverse pathologies.
Validating F3 antibody specificity requires a multi-pronged approach:
Positive and negative control tissues/cells:
Positive: Known F3-expressing tissues (placenta, kidney, CNS)
Negative: Tissues/cells with minimal F3 expression
Knockout/knockdown validation:
Test antibody in F3 knockout or siRNA-mediated knockdown samples
Absence of signal confirms specificity
Peptide competition:
Pre-incubate antibody with immunizing peptide
Loss of signal indicates specific binding
Western blot molecular weight verification:
Cross-reactivity assessment:
Test against related family members
Evaluate binding to F3 from different species
Rigorous validation ensures experimental reliability and reproducibility when working with F3 antibodies.
Several factors can impact F3 antibody performance:
Recognizing these potential issues enables researchers to implement appropriate controls and optimization strategies to ensure consistent, reliable results.
Interpreting binding affinity data requires consideration of multiple parameters:
KD (equilibrium dissociation constant):
Association rate (kon):
Higher values indicate faster binding
Important for applications like immunoprecipitation
Dissociation rate (koff):
Lower values indicate more stable binding
Critical for applications requiring wash steps
Biolayer thickness:
EC50 values from ELISA:
Comparing these parameters across different antibodies helps researchers select the most appropriate reagent for specific applications and interpret experimental results accurately.
F3 antibodies are being explored for several therapeutic applications:
Antibody-drug conjugates (ADCs):
Anticoagulant therapy:
F3 antibodies can inhibit the initiation of coagulation
Potential applications in thrombotic disorders
Cancer immunotherapy:
F3 antibodies could be used to target tumor-associated tissue factor
May be combined with immune checkpoint inhibitors
Anti-inflammatory applications:
These therapeutic developments highlight the translational potential of F3 antibody research beyond basic science applications.
Recent technological advances enhancing F3 antibody research include:
Massively parallel screening:
Machine learning approaches:
Recombinant antibody technologies:
F3 recombinant monoclonal antibody synthesis involves protein technology and DNA recombinant technology
Mice are immunized, spleen RNA is extracted, cDNA is synthesized, and the F3 antibody gene is amplified via PCR
The gene is introduced into a vector, transfected into host cells, and the antibody is purified from cell culture supernatant using affinity chromatography
High-throughput epitope mapping:
These innovations are accelerating F3 antibody development while improving antibody quality and performance characteristics.