| Code | CSB-RA236796A0HU |
| Size | US$210 |
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| Application | Recommended Dilution |
|---|---|
| WB | 1:500-1:5000 |
| IHC | 1:50-1:200 |
| IF | 1:20-1:200 |
TP53, commonly known as p53, stands as one of the most extensively studied proteins in cancer biology, functioning as a critical tumor suppressor that orchestrates cellular responses to DNA damage, oncogenic stress, and other threats to genomic integrity. Often called the "guardian of the genome," p53 regulates cell cycle arrest, apoptosis, and senescence, making it an essential focus for researchers investigating cancer mechanisms, therapeutic targets, and cellular stress pathways.
This recombinant monoclonal antibody, clone 3D4, offers the consistency and reliability that demanding research applications require. Because the antibody sequence is defined and produced recombinantly in rabbit, you can expect minimal lot-to-lot variation, ensuring reproducible results across long-term studies and multi-site collaborations. The affinity-purified IgG format provides clean, specific detection without the batch variability inherent to traditional hybridoma-derived antibodies.
Validation studies demonstrate robust performance across multiple platforms. In western blot applications, the antibody detects TP53 in COLO320 and 293 cell lysates, producing a band at approximately 53 kDa. While the predicted molecular weight based on sequence is lower, the observed size reflects the well-documented post-translational modifications of p53, particularly phosphorylation events that are central to its regulatory functions. Immunohistochemistry validation in paraffin-embedded human glioma tissue confirms utility for pathological studies, while immunofluorescence staining in HepG2 cells demonstrates clear nuclear localization patterns consistent with p53's role as a transcription factor.
Whether you're investigating p53 pathway dysregulation in cancer models, examining stress-induced nuclear signaling, or characterizing tumor samples, this antibody provides the flexibility to move seamlessly between experimental approaches while maintaining confidence in your results.
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