IB001
IB001 is a humanized anti-BAG3 antibody that inhibits BAG3, with a KD value of 14.4 nM for human BAG3. IB001 blocks BAG3-dependent monocyte/macrophage activation, interferes with the interaction between BAG3 and IFITM-2, and disrupts tumor microenvironment signaling pathways. IB001 inhibits tumor growth, reduces α-SMA-positive fibroblasts, and blocks BAG3-dependent IL-6 release. IB001 accumulates in a time-dependent manner in pancreatic ductal adenocarcinoma tumors. IB001 can be used for research related to pancreatic ductal adenocarcinoma.
Nur für Forschungszwecke. Wir verkaufen nicht an Patienten.
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Speicherung:
Please store the product under the recommended conditions in the Certificate of Analysis.
Biologische Aktivität
Beschreibung
Species Reactivity
Human
IC50 & Target
[1]|
HSP70 |
In Vitro
IB001 (BAG3-H2L4) binds to purified recombinant human BAG3 protein with a Kd of 14.4 nM[1].
IB001 inhibits binding of FITC-labeled recombinant human BAG3 to murine J774A.1 macrophage cells[1].
IB001 (9.37-300 μg/mL; 16 h) dose-dependently inhibits recombinant human BAG3-induced IL-6 production by isolated human CD14+ monocytes[1].
IB001 (200 μg/mL; 16 h) significantly inhibits PANC-1 pancreatic cancer cell conditioned medium-induced IL-6 production by isolated human CD14+ monocytes[1].
MedChemExpress (MCE) has not independently confirmed the accuracy of these methods. They are for reference only. Further protocols information, click here.
In Vivo
IB001 (20 mg/kg; daily; 7 days) does not induce cardiotoxicity in 6-month-old athymic nude-Foxn1 nu/nu mice after 7 days of daily treatment[1].
MedChemExpress (MCE) has not independently confirmed the accuracy of these methods. They are for reference only.
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Animal Model:CD-1 nu/nu (female, 6 weeks old, injected with MIA PaCa-2 cells)[1]
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Dosage:20 mg/kg
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Administration:every 48 h; twice a week
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Result:Achieved significant tumor growth inhibition, with final tumor volume reaching ~400% of initial volume compared to ~1000% in vehicle controls.
Reduced α-SMA-positive fibroblast area in tumor tissue from ~3.5% in vehicle-treated mice to <0.5%.
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Animal Model:Athymic nude-Foxn1 nu/nu (6 months old)[1]
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Dosage:20 mg/kg
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Administration:daily; 7 days
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Result:Showed no adverse effect on ejection fraction, shortening fraction, or strain percentage.
Gene ID
Accession
O95817
Target
BAG3
Conjugated
Unconjugated
Reconsititution
The product can be reconstituted/diluted with sterile PBS or saline.
Format
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Product Image
Anwendung
ELISA, FACS, Functional assay
Chemical Information
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Synonyms
BAG3-H2L4
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Formulation
Please refer to the lot-specific COA for specific buffer information.
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Speicherung
Please store the product under the recommended conditions in the Certificate of Analysis.
Protokoll
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Multiplex immunofluorescence IHC
Multiplex immunofluorescence IHC detects multiple protein biomarkers in one tissue section by sequential antibody staining, HRP-mediated tyramide fluorophore deposition, heat-mediated antibody stripping, nuclear counterstaining, multispectral imaging, spectral unmixing, and digital cell phenotyping; TSA deposits fluorophore near the antigen so the fluorescence signal remains after primary and secondary antibodies are removed, enabling repeated staining cycles, including with antibodies from the same host species. Classic FFPE tumor immune-profiling applications use panels such as CD3, CD8, CD68/CD163, FOXP3, PD-1, PD-L1, pancytokeratin, Ki67, and DAPI to identify tumor cells, immune-cell subsets, checkpoint-marker expression, co-expression phenotypes, cell density, and spatial relationships in the tumor microenvironment.
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Multiplex immunohistochemistry
Multiplex immunohistochemistry (mIHC), also known as tyramide dignal amplification (TSA), is an enzymatic detection method that uses horseradish peroxidase (HRP) to perform high-density in-situ labeling of target proteins or nucleic acids.
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Patient-Derived Xenograft (PDX)
Patient-derived xenograft (PDX) models are generated by engrafting primary human tumor tissue directly into immunodeficient mice, allowing in vivo propagation of patient tumor biology without initial in vitro adaptation. These models are used to preserve key histopathological and molecular characteristics of the original tumor and enable assessment of tumor growth dynamics and therapeutic response in a living organism. The biological readout is tumor engraftment and subsequent growth in the murine host, which reflects the ability of human tumor cells to survive, vascularize, and expand in an immunocompromised microenvironment.
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Patient-Derived Orthotopic Xenograft (PDOX)
Patient-derived orthotopic xenograft (PDOX) modeling implants fresh patient tumor tissue or patient-derived tumor cells into the anatomically corresponding organ or tissue site of immunodeficient mice, usually by surgical orthotopic implantation, to preserve patient tumor histology, local microenvironmental context, invasion, metastatic behavior, and treatment-response features better than subcutaneous implantation. PDOX readouts include tumor engraftment, orthotopic tumor growth, local invasion, metastasis, recurrence after resection, histologic similarity to the donor tumor, biomarker retention, molecular concordance, survival, and response or resistance to therapy. PDOX models are used for preclinical drug testing and individualized therapy evaluation, but engraftment success varies by tumor type and specimen quality.
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Subcutaneous Cell-Line-Derived Xenograft
Subcutaneous cell-line-derived xenograft (CDX) models are established by implanting cultured human cancer cell lines into immunodeficient mice, where the injected cells form localized tumors that can be monitored in vivo as a measure of tumorigenic potential, growth kinetics, and treatment response. These models are widely used in oncology research because they allow reproducible tumor formation and enable comparative assessment of tumor growth between different cell lines or genetic manipulations in a controlled in vivo microenvironment. Subcutaneous implantation of cancer cells in immunodeficient mice is a standard approach for evaluating tumor growth behavior and therapeutic response across multiple cancer types, including prostate, esophageal, pancreatic, and colon cancer models.
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Research Protocol for Cancer Immunology
Cancer immunology studies how the immune system recognizes, suppresses, edits, or fails to eliminate malignant cells through tumor antigen release, antigen presentation, T-cell priming, immune trafficking, tumor-cell killing, and feedback inhibition in the tumor microenvironment. The cancer-immunity cycle links tumor antigenicity, dendritic-cell priming, CD8+ T-cell infiltration, cytotoxic function, and immune-checkpoint regulation to tumor rejection or immune escape. Immune-checkpoint pathways such as PD-1/PD-L1 and CTLA-4 suppress antitumor T-cell activity and can be therapeutically blocked, but many tumors remain resistant because of poor antigen presentation, weak T-cell infiltration, suppressive myeloid cells, regulatory T cells, and tumor-intrinsic immune-exclusion programs. Unresolved questions include which immune-cell states predict response, how tumor-intrinsic pathways exclude immune cells, how myeloid suppression limits checkpoint blockade, and which combination strategies
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Orthotopic Cell-Line Xenograft
Orthotopic cell-line xenograft models involve implantation of human cancer cell lines into the anatomically corresponding organ of immunodeficient mice to reproduce tumor growth within a native microenvironment, enabling more clinically relevant tumor behavior compared with subcutaneous models. These models are widely used because orthotopic placement better recapitulates tumor progression, including invasion and metastatic spread, which are often underrepresented in heterotopic implantation systems. Compared with conventional xenografts, orthotopic implantation is described as more technically complex but provides improved simulation of tumor-microenvironment interactions and metastatic behavior, making it particularly valuable for translational oncology research. Surgical orthotopic implantation approaches have been emphasized as enabling faithful reproduction of clinical cancer features, including metastasis and disease progression patterns that align with the tumor’s organ of origi
Reinheit & Dokumentation
Verweise
Calculators
Konzentration (Stammlösung) × Volumen (Stammlösung) = Konzentration (Ziellösung) × Volumen (Ziellösung)