10H10 is a murine monoclonal antibody targeting human tissue factor (TF), a transmembrane glycoprotein that initiates coagulation and promotes tumor angiogenesis . Unlike other anti-TF antibodies, 10H10 uniquely inhibits TF-FVII-induced PAR2 signaling without disrupting coagulation . This specificity makes it a candidate for cancer therapy, particularly in tumors where angiogenesis drives progression.
To reduce immunogenicity, 10H10 underwent humanization via:
CDR grafting: Antigen-binding loops were transplanted onto human framework regions (IGHV5-a and IGKV1–39) .
Affinity maturation: Phage display libraries introduced mutations in heavy (VH) and light (VL) chains, improving binding affinity by 5-fold compared to the chimeric version .
| Variant | Mutations | Binding Affinity (KD, nM) |
|---|---|---|
| Chimeric 10H10 | None | 3.7 |
| M59 (VH) | IGHV5-a framework | 1.2 |
| M1587 | VH: Thr31Pro, Ser56Phe, Asn58Thr | 0.7 |
Source: Structural and affinity data from humanization studies .
10H10 exerts antitumor effects through:
PAR2 signaling blockade: Inhibits TF-FVII-mediated activation of protease-activated receptor 2 (PAR2), critical for tumor angiogenesis and metastasis .
Angiogenesis suppression: Reduces vascular endothelial growth factor (VEGF) secretion in tumor microenvironments .
Binding specificity: Retains recognition of endogenous TF on MDA-MB-231 breast cancer cells at levels comparable to parental 10H10 .
Signal inhibition: Blocks ERK1/2 and AKT pathways in TF-expressing cancer cells .
Tumor growth inhibition: Reduces tumor volume by 60–70% in xenograft models (e.g., breast, pancreatic cancers) .
Safety profile: No observed interference with hemostasis or coagulation parameters .
10H10’s humanized derivatives are being explored for:
Adjuvant therapy: Combining with chemotherapy or immune checkpoint inhibitors to enhance antitumor responses.
Metastatic disease: Targeting TF-overexpressing cancers (e.g., triple-negative breast cancer, pancreatic adenocarcinoma) .
The tam10 Antibody (CSB-PA516838XA01SXV) is a rabbit-derived polyclonal antibody that targets the tam10 protein in Schizosaccharomyces pombe (strain 972 / ATCC 24843), commonly known as fission yeast. This antibody is produced using a recombinant S. pombe tam10 protein as the immunogen. It is supplied in liquid form with a storage buffer containing 0.03% Proclin 300 as a preservative, 50% glycerol, and 0.01M PBS at pH 7.4. The antibody has been purified using antigen affinity methods and is of the IgG isotype. It has been validated for use in enzyme-linked immunosorbent assay (ELISA) and Western blot (WB) applications, making it suitable for detecting the tam10 protein in research settings .
Proper storage of the tam10 Antibody is critical for maintaining its reactivity and specificity over time. Upon receipt, the antibody should be stored at either -20°C or -80°C to preserve its functional integrity. Researchers should avoid repeated freeze-thaw cycles, as these can lead to protein denaturation and loss of antibody activity. For short-term use, small aliquots can be prepared to minimize freeze-thaw cycles. The antibody is supplied in a buffer containing 50% glycerol, which helps stabilize the protein during freezing. When working with the antibody, it should be kept on ice and returned to the freezer promptly after use to maximize its shelf life and maintain consistent performance across experiments .
Validating antibody specificity is a critical step before proceeding with experimental applications. For the tam10 Antibody, multiple validation approaches should be employed. First, perform Western blot analysis using wild-type S. pombe lysates alongside a negative control (such as a tam10 knockout strain if available). Look for a single band of the expected molecular weight. Second, conduct peptide competition assays where the antibody is pre-incubated with excess recombinant tam10 protein before application to your samples - specific binding should be significantly reduced. Third, include positive controls of known tam10 expression levels and negative controls in all experiments. Immunoprecipitation followed by mass spectrometry can provide additional confirmation of specificity. Finally, consider orthogonal detection methods such as RNA expression correlation with protein levels detected by the antibody to further validate specificity in your experimental context .
Optimizing Western blot protocols for tam10 detection requires careful consideration of several parameters. Begin with sample preparation using a buffer containing protease inhibitors to prevent degradation of the target protein. For S. pombe samples, mechanical disruption methods such as glass bead lysis in the presence of trichloroacetic acid often yield better protein preservation than enzymatic methods. For SDS-PAGE, use freshly prepared 10-12% gels for optimal resolution of the tam10 protein. During transfer, a PVDF membrane may offer better protein retention than nitrocellulose. For antibody incubation, dilute the tam10 Antibody to 1:500-1:2000 in 5% BSA/TBST rather than milk, as milk can contain phosphatases that might interfere with detection of phosphorylated forms of tam10 if present. Include a positive control and perform parallel blots with housekeeping proteins. For challenging detections, consider extending primary antibody incubation overnight at 4°C and optimizing secondary antibody concentration. Signal development time should be carefully monitored to prevent background while ensuring detection of low-abundance tam10 protein .
Although the tam10 Antibody datasheet specifically mentions validation for ELISA and Western blot applications, researchers intending to use it for immunofluorescence should consider several critical factors. First, fixation method significantly impacts epitope preservation - compare paraformaldehyde, methanol, and glutaraldehyde fixation to determine optimal conditions. For S. pombe cells, enzymatic cell wall digestion must be carefully balanced to maintain cellular morphology while allowing antibody access. Permeabilization conditions should be tested systematically (0.1% to 0.5% Triton X-100 or 0.05% to 0.2% saponin) to optimize antibody penetration while preserving subcellular structures. Include proper controls: a secondary-only control, a pre-immune serum control, and if possible, a tam10 deletion strain. Signal amplification systems such as tyramide signal amplification might be necessary if tam10 is expressed at low levels. Co-localization with known organelle markers can provide valuable context regarding tam10 subcellular localization. Document and report all optimization steps in your research to aid reproducibility .
While the tam10 Antibody has not been explicitly validated for ChIP applications, researchers interested in exploring potential DNA-binding properties of tam10 could adapt standard ChIP protocols with specific modifications. Begin by conducting a pilot experiment to assess antibody suitability for immunoprecipitation using tagged tam10 constructs as positive controls. For S. pombe cells, optimize crosslinking conditions (typically 1% formaldehyde for 5-15 minutes) and test sonication parameters carefully to achieve chromatin fragments of 200-500 bp. During the immunoprecipitation step, use a higher antibody concentration than typically required for Western blot (5-10 μg per reaction) and extend incubation times (overnight at 4°C with rotation). Include appropriate controls: input chromatin, IgG control, and ideally a tam10 deletion strain. To validate ChIP efficacy, perform Western blot analysis on the immunoprecipitated material before proceeding to DNA purification and analysis. For sequence analysis, consider both hypothesis-driven qPCR of candidate regions and unbiased ChIP-seq approaches to identify genome-wide binding patterns. Given the exploratory nature of using tam10 Antibody for ChIP, extensive validation and replication are essential .
The epitope recognition pattern of polyclonal antibodies, including the tam10 Antibody, directly influences their experimental utility and reliability. Unlike monoclonal antibodies that recognize single epitopes, polyclonal antibodies like the tam10 Antibody recognize multiple epitopes across the target protein, which can provide both advantages and challenges. Drawing parallels from studies of other antibodies, such as thyroid peroxidase antibodies (TPOAb), we understand that even antibodies targeting the same protein can exhibit distinct qualitative patterns of epitope recognition that significantly impact experimental outcomes .
Cross-reactivity assessment is crucial for accurate interpretation of experimental results when using the tam10 Antibody. Multiple complementary approaches should be implemented to thoroughly evaluate potential cross-reactivity. First, perform bioinformatic analysis to identify proteins with sequence similarity to tam10 in your experimental system, focusing on conserved domains or structural motifs. Second, conduct Western blot analysis using recombinant proteins of closely related family members alongside tam10 protein. Third, employ knockout/knockdown validation using CRISPR-Cas9 or RNAi approaches to create tam10-depleted samples as negative controls - any remaining signal would indicate cross-reactivity.
Fourth, perform peptide competition assays with both tam10 peptides and peptides from potentially cross-reactive proteins. Fifth, consider employing orthogonal detection methods such as mass spectrometry to validate antibody specificity in immunoprecipitation experiments. Finally, if working with systems beyond S. pombe, conduct careful species cross-reactivity testing as the antibody was raised against S. pombe tam10. This comprehensive approach parallels methodologies employed in virus-antibody interaction studies, where distinguishing between specific and cross-reactive epitopes is crucial for understanding antibody functionality .
Post-translational modifications (PTMs) can significantly alter epitope accessibility and antibody recognition, potentially affecting experimental outcomes when using the tam10 Antibody. Although specific information about tam10 PTMs is not provided in the available data, researchers should consider several important factors. First, common PTMs in yeast proteins include phosphorylation, acetylation, ubiquitination, and SUMOylation, any of which could potentially occur on tam10. Second, these modifications might either mask epitopes, preventing antibody binding, or create neo-epitopes that enhance recognition, leading to differential detection of modified versus unmodified tam10.
To address these considerations, researchers should: (1) Use phosphatase or deacetylase treatments on parallel samples to assess whether PTMs affect antibody recognition; (2) Compare detection patterns under different cellular conditions known to induce specific PTMs; (3) Consider using complementary antibodies raised against synthetic peptides containing specific PTMs if particular modifications are of interest; (4) Employ mass spectrometry to characterize the PTM landscape of tam10 under experimental conditions; and (5) When interpreting quantitative results, consider that signal intensity may reflect not only protein abundance but also the modification state of tam10. This approach is informed by studies of antibody epitope recognition patterns, where modifications can substantially alter antibody binding characteristics .
When encountering weak or absent signals with tam10 Antibody in Western blots, a systematic troubleshooting approach is essential. First, verify antibody viability by testing it on a positive control sample with known tam10 expression. Second, optimize protein extraction by using different lysis buffers containing various detergents (RIPA, NP-40, or specialized yeast extraction buffers) and ensuring complete protease inhibition. Third, increase protein loading (50-100 μg per lane) as tam10 may be expressed at low levels. Fourth, enhance transfer efficiency by optimizing transfer conditions (consider longer transfer times or different membrane types) and verifying transfer with reversible staining.
Fifth, improve antibody binding by testing different blocking agents (BSA vs. milk), increasing primary antibody concentration (try 1:250 to 1:1000 dilutions), extending incubation time (overnight at 4°C), and optimizing washing conditions. Sixth, enhance detection sensitivity by using high-sensitivity substrates for HRP-conjugated secondary antibodies or considering signal amplification systems. Seventh, verify that your experimental conditions haven't downregulated tam10 expression by checking RNA levels via RT-qPCR. This structured approach parallels troubleshooting methodologies used for detecting challenging epitopes in virus-antibody interaction studies, where optimizing multiple parameters is often necessary for successful detection .
Batch-to-batch variability is an inherent challenge with polyclonal antibodies like the tam10 Antibody and can significantly impact experimental reproducibility. Several factors contribute to this variability: (1) Biological variation between immunized rabbits; (2) Differences in immunization efficacy; (3) Variation in purification efficiency; and (4) Storage conditions affecting antibody stability. To control for these variables, researchers should implement several strategies. First, maintain detailed records of antibody batches, including lot numbers and performance characteristics in standard assays. Second, create an internal reference standard by purchasing larger amounts of a well-performing batch and using it to normalize results across experiments.
Third, perform side-by-side validation of new batches against previously validated lots using identical experimental conditions. Fourth, consider developing a quantitative validation protocol specific to your experimental system, establishing acceptance criteria for new batches. Fifth, when publishing, report antibody lot numbers and validation methods to enhance reproducibility. Sixth, maintain consistent experimental conditions across studies, including sample preparation, blocking reagents, and detection methods. This approach is informed by studies of autoantibody testing where standardization challenges are well-documented and require similar methodological controls .
Differentiating between specific and non-specific signals is crucial for accurate data interpretation when using the tam10 Antibody. Implement a comprehensive validation strategy that includes multiple controls and analytical approaches. First, always include a negative control sample lacking tam10 (ideally a genetic knockout) alongside wild-type samples. Second, perform peptide competition assays where the antibody is pre-incubated with excess purified tam10 protein or peptide – specific signals should be significantly reduced or eliminated. Third, compare signal patterns across different detection methods (e.g., Western blot vs. immunoprecipitation) – genuine tam10 signals should be consistent across techniques.
Fourth, analyze molecular weight specificity carefully – the primary band should match the predicted size of tam10, with any additional bands warranting careful investigation. Fifth, validate findings using orthogonal methods such as mass spectrometry identification of immunoprecipitated proteins or correlation with mRNA expression levels. Sixth, consider using alternative antibodies targeting different epitopes of tam10 if available – convergent results strongly support specificity. This multi-faceted approach to signal validation parallels methods used in studies of virus-neutralizing antibodies, where distinguishing specific from non-specific interactions is similarly crucial for accurate interpretation of results .
To effectively employ tam10 Antibody in co-immunoprecipitation (co-IP) studies for investigating protein-protein interactions, researchers should implement a carefully optimized protocol. Begin by determining the optimal lysis conditions that preserve native protein interactions – typically milder detergents like NP-40 or Digitonin (0.5-1%) are preferred over stronger detergents like SDS. For S. pombe cells, mechanical disruption methods like glass bead lysis in cold conditions help maintain protein complex integrity. Pre-clear lysates with protein A/G beads to reduce non-specific binding before adding the tam10 Antibody. For the immunoprecipitation step, test different antibody concentrations (typically 2-5 μg per mg of total protein) and incubation conditions (4-6 hours or overnight at 4°C with gentle rotation).
Include appropriate controls: a pre-immune serum IP, an irrelevant antibody IP, and input samples. For elution, consider both denaturing (SDS buffer) and native (peptide competition) methods depending on downstream applications. Validate preliminary results with reciprocal IP using antibodies against suspected interaction partners. Consider crosslinking approaches for detecting transient interactions. For challenging interactions, test different buffer conditions (varying salt concentrations, pH levels, and divalent cations) that might stabilize specific complexes. This methodological approach draws from established practices in studying complex antibody-antigen interactions where carefully controlled conditions are essential for meaningful results .
Although the tam10 Antibody has not been explicitly validated for flow cytometry, researchers interested in applying it to this technique should consider several specialized adaptations for working with S. pombe cells. First, cell wall digestion is critical – optimize enzymatic treatment (typically using zymolyase or lysing enzymes) to balance sufficient permeabilization with cell integrity maintenance. Second, fixation method significantly impacts epitope preservation and antibody accessibility – compare formaldehyde (2-4%) and methanol fixation to determine optimal conditions. Third, permeabilization requires careful optimization – test different detergents (0.1-0.5% Triton X-100, 0.1-0.3% saponin) and incubation times to achieve consistent intracellular staining.
For antibody application, use higher concentrations than for Western blot (typically 1:50 to 1:200 dilutions) and extend incubation times (1-2 hours at room temperature or overnight at 4°C). Include comprehensive controls: unstained cells, secondary-only controls, isotype controls, and ideally a tam10 deletion strain. Consider using signal amplification systems like biotin-streptavidin if detection sensitivity is insufficient. Validate flow cytometry results with complementary techniques such as microscopy to confirm specificity. This approach incorporates principles from immunological studies where flow cytometric detection of cellular antigens requires similar methodological considerations for specificity and sensitivity .
Applying the tam10 Antibody to study dynamic protein expression changes during the cell cycle requires integration of sophisticated cell synchronization methods with quantitative antibody-based detection. For S. pombe, implement established synchronization techniques such as lactose gradient centrifugation, nitrogen starvation-release, hydroxyurea block-release, or temperature-sensitive cdc mutants to obtain populations at defined cell cycle stages. Collect samples at regular intervals (typically every 10-20 minutes) following synchronization release to capture the complete cell cycle progression. For each timepoint, divide samples for parallel analyses: Western blot quantification of tam10 levels, microscopy to correlate protein expression with cellular morphology, and flow cytometry for DNA content analysis to confirm synchronization quality.
For Western blot analysis, use careful quantification methods with normalization to loading controls that remain stable throughout the cell cycle (validated housekeeping proteins or total protein staining). Consider phospho-specific detection methods if tam10 undergoes cell cycle-dependent phosphorylation, which might be inferred from band shifts on Western blots. Complement protein-level analyses with RT-qPCR to distinguish between transcriptional and post-transcriptional regulation. For visualization of spatial dynamics, combine time-course sampling with immunofluorescence microscopy. This comprehensive approach draws from methodologies used in studying complex immunological phenomena where temporal dynamics significantly impact interpretation of antibody-based detection results .