Kit Receptor Detection
Kit Receptor Detection - Related Videos
09:00
Use of the Protease Fluorescent Detection Kit to Determine Protease Activity
0 Views •
Cited by 15 •
2009
The Protease Fluorescent Detection Kit is designed for the measurement of protease activity using fluorometry. It is also suitable for detection of trace amounts of protease contamination. The method is based on the proteolytic hydroysis of a proprietary formulation of a FITC-labeled casein substrate.
08:39
Affinity Labeling Detection of Endogenous Receptors from Zebrafish Embryos
0 Views •
Cited by 1 •
2016
A novel technique for the detection of low abundance endogenous receptors present in zebrafish embryos is described. We have named it AFLIP because it consists of affinity labeling of the receptor by its ligand linked to immunoprecipitation.
04:41
Magnetic-Activated Cell Sorting: A Method to Isolate c-Kit Positive Cells
0 Views •
2023
This video describes the technique of isolating c-kit positive cells from the bone marrow of a mouse. In the protocol, we will isolate c-kit positive cells from a transgenic mouse to validate c-Fos and Dusp1 alone or together as drug targets in leukemia.
06:01
Extracellular Protein Microarray Technology for High Throughput Detection of Low Affinity Receptor-Ligand Interactions
0 Views •
Cited by 4 •
2019
Here, we present a protocol to screen extracellular protein microarrays for identification of novel receptor-ligand interactions in high throughput. We also describe a method to enhance detection of transient protein-protein interactions by using protein-microbead complexes.
09:04
Detection of Neu1 Sialidase Activity in Regulating TOLL-like Receptor Activation
0 Views •
Cited by 39 •
2010
The sialidase assay is a simple technical approach that will elucidate novel molecular mechanism(s) of TLR sensors of microbial infections and involvement in inflammatory diseases at the receptor level on the cell surface of live macrophages.
FAQs
KIT, also called CD117, is a receptor tyrosine kinase that participates in signaling through stem cell factor. Measuring the receptor provides information about whether cells carry this signaling component at their surface, while related studies can examine changes in receptor-mediated growth and survival. This connection makes detection useful for linking cellular identity with signaling behavior.
The choice depends on whether the experiment requires preserved cellular material or analysis of intact cells. Antibodies can bind KIT on fixed cells for visualization or measurement, while detection on living cells supports measurements in cells that remain intact during analysis. This distinction matters when the goal is microscopy, quantitative profiling, or downstream cell handling.
These approaches provide different forms of information. Microscopy allows KIT to be visualized in cells, flow cytometry supports quantitative analysis across cell populations, and immunoassays measure the receptor through an assay signal. Selecting among them depends on whether the study emphasizes cellular appearance, population-level quantification, or assay-based measurement.
Detection uses antibodies directed against KIT together with labels that generate a measurable signal. Fluorescent labels support visualization or flow-based measurement, whereas enzymatic or other labels can be used in immunoassays and related formats. The label therefore connects antibody binding to the instrument or readout used to estimate receptor presence or amount.
A general workflow selects cells and an appropriate detection format, applies an antibody that binds KIT, and uses a fluorescent, enzymatic, or other label to produce a measurable signal. The labeled cells or assay are then examined by microscopy, flow cytometry, or immunoassay. The resulting measurement can be interpreted alongside cell characteristics or experimental conditions.
Measurements can help characterize hematopoietic and germ cells and assess cellular differentiation. In a mixed population, flow-based detection may support quantitative profiling and cell sorting, allowing researchers to examine or separate cells according to KIT-associated measurements. These applications connect receptor detection with studies of cell identity, developmental state, and population composition.
Some cancers show altered KIT expression or signaling, so measuring the receptor can provide information relevant to disease characterization. Detection may support disease classification and help investigate how receptor-associated growth and survival pathways differ among cells. The result is most informative when interpreted as part of a broader biological analysis rather than as an isolated measurement.