FTL ELISA Kits
Ferritin light chain (FTL) ELISA kits are specialized immunoassays designed for the quantitative measurement of FTL concentrations in various biological samples, including serum, plasma, tissue homogenates, and cell culture supernatants. FTL is a crucial component of the ferritin complex, responsible for iron storage and regulation within cells. Accurate quantification of FTL is essential in research areas such as iron metabolism, neurodegenerative diseases, and certain anemias.
Technical Specifications:
- Sensitivity and Range: The detection range and sensitivity vary among kits. For instance, the Human Ferritin light chain (FTL) ELISA Kit from Assay Genie offers a detection range of 31.2–2000 pg/mL with a sensitivity of 10 pg/mL Assay Genie. Similarly, the Human FTL ELISA Kit from Cusabio provides a detection range of 0.625–40 ng/mL and a sensitivity of 0.156 ng/mL Cusbio.
- Sample Volume: Typically, a sample volume of 50–100 µL is required per well, depending on the specific kit's protocol.
- Assay Time: The total assay duration ranges from approximately 2 to 5 hours, including incubation and washing steps.
Applications:
- Iron Metabolism Research: Quantifying FTL levels aids in understanding iron storage disorders and conditions like hemochromatosis or iron-deficiency anemia.
- Neurodegenerative Disease Studies: Altered FTL expression is associated with neurodegenerative conditions such as neuroferritinopathy. ELISA kits facilitate the investigation of FTL's role in these diseases.
- Oncology Research: Elevated ferritin levels, including FTL, have been observed in certain cancers. Measuring FTL can contribute to cancer biomarker discovery and tumor progression studies.
- Inflammatory and Infectious Diseases: As an acute-phase reactant, ferritin levels, including FTL, can increase during inflammation or infection. ELISA kits enable monitoring of these changes in clinical research.
When selecting an FTL ELISA kit, it is crucial to consider factors such as species reactivity, sample type compatibility, sensitivity, and detection range to ensure optimal performance for specific research applications.
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