AAE-2D Antibody Coverage Analysis Service

    During the biopharmaceutical manufacturing process, the residue of host cell proteins (HCPs) is an unavoidable quality control issue. These residual proteins may affect the safety, stability, and biological activity of the drug. Therefore, precise and comprehensive analysis of HCPs is crucial. Affinity antibody extraction-two dimensional electrophoresis (AAE-2D) is a technique primarily used for the efficient detection and analysis of proteins. It combines the affinity extraction capabilities of antibodies with the separation efficiency of two-dimensional electrophoresis to deeply analyze complex protein samples. The AAE-2D technique uses antibody affinity extraction to effectively capture target HCPs, followed by in-depth identification and quantification through two-dimensional electrophoresis, providing comprehensive coverage of the antibody to HCPs and thus accurately assessing the coverage rate of antibodies, particularly suitable for the analysis of antibody coverage rates of host residual proteins.


    Our company has developed an efficient AAE-2D antibody coverage analysis platform using high-resolution electrophoresis equipment, dedicated to providing you with the most advanced HCP antibody coverage analysis service. This service is particularly suitable for quality control of complex biopharmaceuticals such as recombinant proteins, antibody drugs, fusion proteins, and gene and cell therapies. Our analysis can not only identify the types and quantities of HCPs but also assess their distribution and potential impact in biopharmaceuticals, thereby providing a scientific basis for your drug development and production process. We welcome you to consult for free and learn more details.



    In the technical report, MtoZ Biolabs will provide you with detailed technical information, including

    1. Experimental Procedures

    2. Relevant Experimental Parameters

    3. Detailed Information on AAE-2D Antibody Coverage Analysis

    4. Electrophoresis Images

    5. Raw Data

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