MDC ELISA Kits
The MDC ELISA Kit is a specialized immunoassay developed for the quantitative measurement of Macrophage-Derived Chemokine (MDC), also known as CCL22, in biological samples. MDC is a chemokine involved in immune response modulation, attracting T-cells, natural killer (NK) cells, and dendritic cells to sites of inflammation or infection. It is expressed in various tissues, including lymph nodes, lungs, and the thymus.
Content of MDC ELISA Kit
A standard MDC ELISA Kit includes:
- Pre-coated Microplate: Microplate wells are pre-coated with high-specificity antibodies targeting MDC, ensuring accurate capture from the sample.
- Detection Antibodies: Enzyme-conjugated detection antibodies (typically HRP-linked) specific to MDC, allowing for quantifiable signal generation.
- Standards and Controls: Calibrated MDC standards for creating a reliable standard curve and positive and negative controls to validate assay performance.
Application of MDC ELISA Kit
The MDC ELISA Kit has broad applications in immunology, oncology, and research on inflammatory diseases:
- Autoimmune Disease Studies: Elevated MDC levels are linked to autoimmune conditions such as multiple sclerosis and systemic lupus erythematosus. MDC ELISA Kits enable the study of its role in autoimmune responses, providing data that may assist in the development of targeted therapies.
- Allergy and Asthma Research: MDC is involved in allergic responses and is particularly elevated in allergic asthma. The MDC ELISA Kit is useful in studying its role in allergic reactions, supporting research on therapeutic interventions for allergic diseases.
- Drug Development and Screening: As MDC is a target for immune-modulatory therapies, the ELISA Kit is beneficial for screening compounds that may inhibit or modulate MDC expression, aiding in drug discovery and therapeutic research.
The MDC ELISA Kit is an essential tool for researchers studying immune responses, inflammatory and autoimmune diseases, and the tumor microenvironment, offering precise and sensitive quantification of MDC to support advancements in understanding and treating these conditions.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|