| Code | CSB-RA299565A0HU |
| Size | US$210 |
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| Application | Recommended Dilution |
|---|---|
| WB | 1:500-1:2000 |
| IF | 1:50-1:200 |
| FC | 1:50-1:200 |
MTAP (5'-methylthioadenosine phosphorylase) serves as a critical enzyme in the methionine salvage pathway, catalyzing the phosphorolysis of methylthioadenosine, a byproduct of polyamine biosynthesis. Beyond its metabolic role, MTAP has garnered significant attention in cancer research due to its frequent deletion in various malignancies, often co-occurring with CDKN2A loss on chromosome 9p21. This makes MTAP status an important biomarker and a target for synthetic lethal therapeutic strategies, positioning it as a molecule of considerable interest for oncology researchers.
This recombinant monoclonal antibody, generated from clone 6E6 in rabbit host, offers the reproducibility and consistency that demanding experimental workflows require. Unlike traditional hybridoma-derived antibodies, recombinant production ensures sequence-defined specificity and eliminates the lot-to-lot variability that can compromise longitudinal studies or multi-site collaborations.
Validation across multiple platforms demonstrates this antibody's versatility in your research toolkit. Western blot analysis confirms reliable detection at the expected 31 kDa molecular weight in human glioblastoma (U-251MG), colorectal adenocarcinoma (HT-29), and mouse fibroblast (NIH/3T3) cell lysates, supporting cross-species reactivity between human and mouse samples. Immunofluorescence staining in HeLa cells reveals clear cytoplasmic localization patterns, while flow cytometry analysis shows distinct positive population shifts compared to isotype controls, enabling quantitative assessment of MTAP expression at the single-cell level.
Whether investigating metabolic reprogramming in tumor models, screening for MTAP-deficient cell populations, or exploring synthetic lethality approaches targeting PRMT5 or MAT2A in MTAP-null contexts, this antibody provides the technical foundation for robust, reproducible results across your experimental platforms.
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