BMS-1233
BMS-1233 is an orally active inhibitor for programmed cell death-ligand 1 (PD-L1), with IC50 of 14.5 nM. BMS-1233 promotes cell death of HepG2 in a Jurkat T cell and HepG2 cell co-culture model, exhibits antitumor activity against melanoma in mouse model.
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- CAS. Nr.: 2447065-99-6
- Formel: C35H33ClN2O4
- Molecular Weight:581.10
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Speicherung:
Please store the product under the recommended conditions in the Certificate of Analysis.
Biologische Aktivität
Beschreibung
Chemical Information
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CAS. Nr. 2447065-99-6
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Molecular Weight 581.10
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Formel C35H33ClN2O4
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SMILES
N#CC1=CC=CC(COC2=CC(OCC3=CC=CC(C4=CC=CC=C4)=C3C)=C(C=C2CN5CCCCC5C(O)=O)Cl)=C1
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Versand
Room temperature in continental US; may vary elsewhere.
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Speicherung
Please store the product under the recommended conditions in the Certificate of Analysis.
Protokoll
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Detection of Apoptosis
Apoptosis, also called programmed cell death, is generally characterized by distinct morphological characteristics.
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Cell Cytotoxicity Assay
Cytotoxicity assays are usually based on the assessment of cell membrane damage, which can also be indirectly detected by measuring cell viability. Detection methods include MTT assay, CKK-8 assay, LDH assay and ATP assay, etc.
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Mammalian live/dead viability and cytotoxicity staining
Live/dead viability and cytotoxicity staining assays are based on the simultaneous detection of intracellular esterase activity in metabolically active (viable) cells and membrane integrity loss in non-viable cells. In commonly used dual-staining approaches, membrane-permeant fluorogenic substrates are converted by intracellular esterases into fluorescent products in live cells, while impermeant DNA-binding dyes selectively enter cells with compromised plasma membranes and label nucleic acids in dead or dying cells, enabling discrimination between viable and non-viable populations by fluorescence microscopy or flow cytometry.
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Neuron-Astrocyte Co-culture
Neuron-astrocyte co-culture is used to study how astrocytes regulate neuronal survival, synapse formation, dendritic morphology, neuronal activity, and disease-related neurotoxicity. Indirect “sandwich” or insert-based designs physically separate neurons and astrocytes while allowing soluble astrocyte-derived factors to affect neurons, whereas direct co-culture permits cell-contact and network-level readouts.
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Apoptosis Solutions
Apoptosis is a regulated, generally non-lytic cell-death pathway that removes unwanted, damaged, infected, or abnormal cells through coordinated morphological changes, caspase activation, DNA fragmentation, and membrane remodeling. The intrinsic apoptosis pathway is controlled mainly by mitochondrial outer membrane permeabilization, BCL-2 family proteins, cytochrome c release, apoptosome formation, caspase-9 activation, and downstream executioner caspase-3/7 activation. The extrinsic apoptosis pathway is initiated by death receptors such as Fas, TNFR, and TRAIL receptors, which recruit adaptor proteins and activate caspase-8 before engaging executioner caspases or mitochondrial amplification through BID cleavage. Apoptosis is linked to many phenotypes, including cancer cell killing, tissue homeostasis, immune regulation, neurodegeneration, infection response, and treatment-induced cytotoxicity; unresolved questions include how apoptosis interacts with necroptosis, pyroptosis, ferroptos
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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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How to Choose the Right Model Animal
Choosing the right model animal is a validity-driven decision in which the species, strain, sex, age, genetic background, disease-induction method, outcome measures, and welfare burden must match the scientific question rather than laboratory tradition or convenience. A model should be selected by judging face validity, construct validity, and predictive validity: whether it resembles the human phenotype, whether it reproduces relevant mechanisms, and whether results are likely to predict human biology or treatment response. Animal studies often fail to translate because of species differences, weak disease resemblance, poor experimental design, inadequate reporting, publication bias, and underuse of randomization, blinding, and sample-size justification. Unresolved questions include how to rank competing models objectively, how much human-disease complexity must be reproduced for a given objective, and when non-animal systems such as organoids, ex vivo tissue, or computational models
Reinheit & Dokumentation
Verweise
Calculators
Konzentration (Stammlösung) × Volumen (Stammlösung) = Konzentration (Ziellösung) × Volumen (Ziellösung)