| Application | Recommended Dilution |
|---|---|
| WB | 1:500-1:5000 |
| IHC | 1:50-1:200 |
| IF | 1:20-1:200 |
MAPK1, also known as ERK2, serves as a central node in the RAS-RAF-MEK-ERK signaling cascade, where it phosphorylates numerous cytoplasmic and nuclear substrates to regulate cell proliferation, differentiation, and survival. This kinase plays particularly important roles in neuronal plasticity, stem cell fate determination, and oncogenic signaling, making it an essential target for researchers investigating both normal cellular physiology and disease mechanisms.
This recombinant monoclonal antibody, generated against a synthetic peptide derived from human ERK2, offers the consistency and reproducibility that demanding experimental workflows require. Because the antibody sequence is defined and production occurs in a controlled recombinant system, researchers can expect reliable performance across experiments and between lots, eliminating the variability often encountered with traditional hybridoma-derived antibodies.
Validation studies demonstrate robust performance across multiple applications. In western blot analysis, the antibody detects a clean 42 kDa band corresponding to the predicted molecular weight across diverse human cell lines including Jurkat, HeLa, HEK293, HepG2, A375, and A549, with effective dilutions ranging from 1:500 to 1:5000. Cross-species reactivity has been confirmed through successful detection in both rat and mouse brain lysates, providing flexibility for researchers working with rodent models. Immunohistochemistry validation in paraffin-embedded human colon cancer tissue shows specific staining patterns, while immunofluorescence studies in HeLa cells reveal the expected cytoplasmic and nuclear localization characteristic of activated ERK2.
Whether investigating MAPK signaling dynamics in cancer biology, exploring neuronal signaling pathways, or characterizing stem cell differentiation, this antibody provides a dependable tool for interrogating ERK2 expression and localization across your experimental systems.
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