CS2009
CS2009 is a trispecific antibody targeting PD-1, CTLA-4 and VEGFA. CS2009 blocks the interactions of PD-1/PD-L1, CTLA-4/CD80 and VEGFA/VEGFR2, mediates checkpoint inhibition, and suppresses tumor angiogenesis. CS2009 reactivates PD-1/CTLA-4 double-positive tumor-infiltrating T lymphocytes, induces T cell activation, enhances tumor growth inhibition, promotes vascular normalization, improves T lymphocyte infiltration, and converts the immunosuppressive tumor microenvironment into an immunocompetent one. CS2009 can be used for the research of various advanced solid tumors.
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Almacenamiento:
Please store the product under the recommended conditions in the Certificate of Analysis.
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Actividad biológica
Descripciòn
Species Reactivity
Human
In Vitro
CS2009 preferentially targets and activates PD-1/CTLA-4 double-positive tumor-infiltrating T lymphocytes (TILs); its anti-VEGFA arm inhibits tumor angiogenesis and promotes vascular normalization, which helps convert the immunosuppressive tumor microenvironment (TME) into an immunocompetent TME, thereby enhancing effector TIL-mediated tumor growth inhibition[2].
MedChemExpress (MCE) has not independently confirmed the accuracy of these methods. They are for reference only. Further protocols information, click here.
Gene ID
Accession
Target
PD-1 & VEGF & CTLA-4
Conjugated
Unconjugated
Reconsititution
The product can be reconstituted/diluted with sterile PBS or saline.
Format
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Product Image
Aplicación
ELISA, FACS, Functional assay
Chemical Information
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Formulation
Please refer to the lot-specific COA for specific buffer information.
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Almacenamiento
Please store the product under the recommended conditions in the Certificate of Analysis.
Protocolo
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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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Human pluripotent stem cell endothelial-cell differentiation
Human pluripotent stem cell endothelial differentiation is based on stepwise developmental patterning: early activation of WNT/GSK3β inhibition promotes mesodermal or vascular progenitor entry, followed by endothelial specification using VEGF-related signaling, BMP4, FGF2, Notch modulation, or cAMP depending on the published protocol. Endothelial differentiation is read out by acquisition of CD31, CD34, VE-cadherin/CD144, KDR/VEGFR2, vWF, Tie2, NOS3, acetylated LDL uptake, tube/network formation, barrier function, and in vivo vessel-forming capacity where tested.
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Vascular/Branching Fractal Analysis
Vascular/branching fractal analysis quantifies the geometric complexity of vessel trees or vascular networks from segmented 2D images, commonly by converting vessels into binary and/or skeletonized maps and estimating fractal dimension using box-counting or related approaches. Fractal dimension is interpreted as an image-derived readout of vascular branching complexity, space filling, or density, and has been applied to retinal photographs, fluorescein angiography, OCT angiography, capillary perfusion maps, and in vitro Matrigel angiogenesis networks. The assay readout is generated from vessel-positive pixels after image preprocessing, vessel segmentation, binarization, and optional skeletonization; reported outputs include fractal dimension, vessel density, branchpoint density, endpoint density, vessel length density, tortuosity, and generation-based branching metrics when VESGEN-style analysis is used. The biological interpretation is limited to quantitative vascular patterning and s
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Endothelial Tube Formation Assay
Endothelial tube formation assay evaluates the ability of endothelial cells to attach, migrate, align, and organize into capillary-like networks when cultured on gelled basement membrane extract or Matrigel; the readout is the morphology and quantity of tube-like networks, which reflects an in vitro endothelial morphogenesis step related to angiogenesis. Basement membrane extract/Matrigel provides laminin-rich extracellular matrix cues that support endothelial differentiation into capillary-like structures, but it can contain biologically active growth factors, so growth-factor-reduced matrix is preferred when testing defined angiogenic stimulators or inhibitors.
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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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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 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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Endothelial Cell Migration/Angiogenic Sprouting Assay
Endothelial cell migration and angiogenic sprouting assays are in vitro (and partially ex vivo-adapted) functional models that quantify the ability of endothelial cells to undergo coordinated migration, extracellular matrix invasion, and multicellular organization into capillary-like sprouts in response to pro-angiogenic stimuli such as VEGF, bFGF, or conditioned microenvironments. These assays are used to model early angiogenic events including tip-cell formation, directional migration, and lumen-like sprout extension, which collectively reflect angiogenic activation and vascular morphogenesis processes observed in vivo.
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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
Pureza y Documentación
Referencias
Calculators
Concentration (start) × Volume (start) = Concentration (final) × Volume (final)