| Code | CSB-RA013563A0HU |
| Size | US$210 |
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| Application | Recommended Dilution |
|---|---|
| WB | 1:500-1:5000 |
| IHC | 1:50-1:500 |
| IF | 1:30-1:200 |
CD146, also known as MCAM or MUC18, is a cell surface glycoprotein that plays a central role in cell adhesion, migration, and angiogenesis. Originally identified as a melanoma-associated antigen, CD146 has since emerged as a valuable marker in immunology research, with particular relevance to studies of tumor progression, endothelial cell biology, and metastatic potential. Its expression patterns across various cell types make it an important target for researchers investigating cell-cell interactions and vascular development.
This recombinant monoclonal antibody, clone 8A10, offers the consistency and reliability that demanding experimental workflows require. Produced using recombinant technology with a sequence-defined approach, this antibody delivers lot-to-lot reproducibility that supports longitudinal studies and ensures comparable results across experiments. The rabbit IgG format, purified by affinity chromatography, provides high specificity for human CD146.
Validation across multiple platforms demonstrates this antibody's versatility in your research toolkit. Western blot analysis of A375 melanoma cell lysates reveals a band at approximately 120 kDa, which exceeds the predicted molecular weight of 72 kDa. This size difference reflects the extensive glycosylation characteristic of CD146 as a cell surface glycoprotein. Immunohistochemistry performed on paraffin-embedded human breast cancer tissue shows clear target detection, while immunofluorescence staining in U251 glioblastoma cells confirms utility in cellular localization studies. Flow cytometry analysis using A375 cells further validates performance in single-cell applications.
Whether you are characterizing tumor microenvironments, investigating endothelial markers, or exploring adhesion molecule biology, this antibody provides a dependable tool for advancing your immunology research across diverse experimental approaches.
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