| Code | CSB-RA001703MA1HU |
| Size | $49.9 |
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| Application | Recommended Dilution |
|---|---|
| IHC | 1:50-1:200 |
Angiogenin, also designated as ribonuclease 5, is a secreted protein with potent angiogenic activity that plays critical roles in blood vessel formation, cell proliferation, and stress responses. Beyond its well-characterized function in tumor vascularization, angiogenin has emerged as a significant focus in neurodegeneration research, with mutations in the ANG gene linked to amyotrophic lateral sclerosis and Parkinson's disease. The protein's dual activities as both a ribonuclease and a transcription factor regulator make it a compelling target for researchers investigating cancer biology, neurodegenerative mechanisms, and vascular development.
This recombinant monoclonal antibody, clone 18D7, offers the reproducibility and consistency that demanding experimental workflows require. Produced using recombinant technology with a defined sequence, this antibody eliminates the lot-to-lot variability that can compromise longitudinal studies or multi-site collaborations. The human IgG1 isotype format and affinity-chromatography purification ensure high specificity for your target while minimizing background interference.
Validation through immunohistochemistry demonstrates reliable detection across multiple species, with successful staining confirmed in paraffin-embedded human, mouse, and rat liver tissue sections using citrate buffer antigen retrieval at pH 6.0. This cross-species reactivity provides flexibility for researchers working with both clinical samples and preclinical animal models. The recommended working dilution range of 1:50 to 1:200 for immunohistochemistry allows optimization for different tissue types and detection systems, while additional compatibility with ELISA expands your experimental options.
Whether investigating angiogenin's role in tumor angiogenesis, exploring its neuroprotective functions, or studying stress granule biology, this antibody delivers the performance and consistency essential for generating publication-quality data.
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