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| Immunogen | A synthesized peptide derived from human Phospho-PKC alpha (T497) was used as the immunogen for the Phospho-PKC alpha (Thr497) antibody. |
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Overview
Phospho-PKC alpha (Thr497) Antibody / Protein kinase C alpha is a anti-PKC (phospho-Thr497) Rabbit antibody Recombinant Rabbit Monoclonal clone 32P00 supplied in Liquid format. Recommended for workflows such as Western blot (WB), Immunohistochemistry (IHC) with listed reactivity in Human, Mouse, Rat.
Key elements and design rationale
- Target: PKC (phospho site: Thr497)
- Antibody details: Rabbit, Recombinant Rabbit Monoclonal, clone 32P00, isotype Rabbit IgG
- Format: Liquid
- Applications (as listed): WB, IHC
Biological background
Phospho-PKC alpha Thr497 antibody is widely applied in signaling and phosphorylation research. By distinguishing the phosphorylated active form from inactive PKC alpha, it enables precise monitoring of pathway activation. This is particularly relevant in studies of cancer, cardiovascular disease, and neuronal signaling where PKC alpha activity is tightly regulated.
The antibody is validated for use in western blotting, immunohistochemistry, and immunofluorescence. In western blot assays, Phospho PKC alpha Thr497 antibody detects phosphorylated isoforms and allows quantification of activation under various stimuli. In immunohistochemistry, it highlights phosphorylation dependent localization within tissues, while immunofluorescence provides single cell resolution of active PKC alpha.
PKC alpha has been implicated in cancer progression, where dysregulated activation contributes to survival, proliferation, and metastasis. Monitoring Thr497 phosphorylation with phospho specific antibodies provides mechanistic insight into tumor biology and therapeutic targeting. In cardiovascular research, PKC alpha activity is linked to hypertrophy, contractility, and vascular remodeling. In the nervous system, PKC alpha influences synaptic plasticity and long term potentiation.
Phospho-PKC alpha Thr497 antibody offered by
Research relevance and current trends
- Connecting protein-level changes to phenotype using orthogonal readouts (genetic perturbation, transcriptomics, imaging).
- Quantifying post-translational regulation (including phosphorylation) alongside total protein levels.
- Comparing results across species and model systems with matched controls.
Common research applications
- Western blotting: compare relative abundance and activation-state changes across conditions.
- Immunohistochemistry: map target signal in tissue context and compare regions/phenotypes.
Interpret changes in signal alongside appropriate controls and, when relevant, in parallel with total-protein or pathway readouts.
Notes for experimental interpretation
- Signal can reflect expression level, isoform composition, and post-translational state; interpret results in the context of your model system and stimuli.
- Phospho-site readouts are condition-dependent and are often compared to total target levels when available.
- Species differences and sample matrices can influence epitope recognition; prioritize matched controls and orthogonal confirmation when feasible.
Antibody notes: Monoclonal antibodies provide a defined epitope recognition profile that can support consistent comparisons across experiments.
Customization & Add-ons: Can’t find the antibody you need—or require a custom format for your assay? We can help you source the best match or support custom antibody solutions for diverse research needs, including species and isotype selection, conjugations and labeling (e.g., HRP/AP, biotin, fluorophores), purification grade options (Protein A/G, affinity purified), formulation preferences (buffer selection, carrier-free, glycerol-free), custom concentrations and aliquoting, low-endotoxin options for cell-based work, and application-focused QC/validation support (project dependent). Click Talk to a Scientist to submit a request, email us at support@biohippo.com, or explore our Research Services for additional support—our team will follow up with feasibility details and next steps.
