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- Table of Contents
13 Citations 9 Q&As
2 Citations 8 Q&As
Facts about Endothelial cell-specific molecule 1.
.
Human | |
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Gene Name: | ESM1 |
Uniprot: | Q9NQ30 |
Entrez: | 11082 |
Belongs to: |
---|
No superfamily |
Endocan; endothelial cell-specific molecule 1; ESM1; ESM-1; IGFBP-rp6
Mass (kDA):
20.095 kDA
Human | |
---|---|
Location: | 5q11.2 |
Sequence: | 5; NC_000005.10 (54977867..54985593, complement) |
Expressed in lung, on the vascular capillary network within alveolar walls, and also at lower level in kidney.
Secreted.
The primary-secondary-ABC system is a patented method that enables researchers to locate proteins with low background and high specificity. This method makes use of monoclonal antibodies to produce a highly sensitive colorimetric assay. It can be used by researchers from all over the world. For product credits, the results can be submitted to Boster Bio. This article will review the advantages of using the Boster Bio ESM1 Marker in your research.
Researchers can use this novel technology to identify protein targets with low background and high specificity. Researchers can employ this tool to determine the presence of specific proteins in various samples. This novel approach activates genes across the genome and is applicable to diverse organisms and cell types. The findings are being studied to determine potential targets for new treatments. Continue reading to find out more about this new technology.
The unique primary-secondary-ABC system from Boster Bio helps researchers to find protein targets with high specificity and low background. This system can be used by researchers to discover the proteins involved in inflammation diseases like macrophase activation disorder and malaria. Researchers can also use this method to identify proteins that are involved in autoimmune diseases and cancer. Through this technology, researchers can find proteins with high specificity and low background in various tissues.
The use of this technology helps researchers discover proteins with low background and high specificity across various kinds of cell and tissue kinds. It is simple to use and lets researchers to identify proteins within tissue samples that might be present or absent. This will enable researchers to gain a better understanding of diseases. The results of this study will assist researchers in developing new therapies for autoimmune diseases.
Scientists can make use of this technique to focus on specific immune cells. Researchers could make use of this technology to determine the root cause of allergies and devise new treatments to stop their activity. The researchers believe that this technology is an important tool to fight allergies and autoimmune diseases. In a recent study, researchers identified a certain group of human immune cells that are associated with allergic reactions. Researchers hope to develop novel drugs that target these cells in the near future.
The company's technology is currently being used at the University of Washington and Fred Hutchinson Cancer Research Center. Four studies will benefit from the funds. The three institutions will collaborate to advance the field of disease research. The results will be published in the journal Science. The system can be tailored to meet the specific requirements of each researcher.
This technology also has a benefit that it is able to be tailored to determine protein targets under various conditions. It can identify antigens and other proteins found in different tissues. Researchers can therefore determine which is the most effective in treating an autoimmune disorder. For instance, they can utilize this technology to determine the antigens responsible for Lupus, diabetes, or even rheumatoid arthritis.
In addition to these benefits, the system has extended its collaboration beyond the Institute for Systems Biology to include the Benaroya Research Institute at Virginia Mason, the Infectious Disease Research Institute in the Puget Sound Blood Center Research Institute, Seattle BioMed, and Washington State University. These organizations have the technical development and scientific expertise needed to support the company's work. These Accelerator partners provide an excellent foundation for future progress. The Benaroya Research Institute, for instance is a founding partner in the Seattle Food Allergy Consortium. The network is a brand-new group of food allergy researchers. Its aim is federal funding for clinical trials in food allergy.
Boster Bio develops research antibodies and ELISA kits that allow researchers to identify proteins at the picogram level. These kits can be used in numerous research applications, such as the fields of developmental biology, cancer neurosciences inflammation, as well as immune systems. Boster Biologicals' kits are highly sensitive and specific, and offer reliable results. They are available through Tebu-bio.
Boster Bio Super Vision Detection Kits have the benefit of allowing researchers to identify proteins with high specificity and low background. The technology behind these ELISA kits is based on the primary-secondary-ABC system, which uses avidins conjugated to signal molecules, such as Horseradish Peroxide, HRP. Boster Bio also has other detection systems that use organic polymers and polysaccharides.
To increase the sensitivity the colorimetric assays, a precomplex of anti-ESAT-6 and CFP-10 proteins from M. tuberculosis was employed to verify the binding of the two proteins. Both proteins are highly specific, so optimizing the concentration of the antibodies is critical for sensitivity. This is why the ESAT-6 antibody proved to be particularly beneficial.
These antibodies are highly sensitive and can be used to detect disease, as they can detect low levels of target antigen. They can be employed through immunoprecipitation. The antigen-antibody combo is then processed using either immobilized antibodies or magnetic beads. The antigen-antibody combination is then separated from the sample.
Fluorescence microscopy and flow-cytometry are effective methods to study the protein-protein conjugation. Boster's laboratory is home to monoclonal antibodies that can be used for sensitive tests using colorimetrics. They can be used for a variety of applications, including analyzing the binding of proteins to DNA. In addition to fluorescence microscopy sensitivity of monoclonal antibodies can be further enhanced by with the MEF-PM method.
The SARS-CoV ELISA is another example of a highly sensitive quantitative test. It was designed to facilitate early detection of the disease. FDA validated the test and SARS-CoV-2 antibodies were detected. However there is a significant distinction between flexible and rigid monoclonal antibodies. The former allows multiple mAbs (or mAbs) to be attached to the same antigen, whereas the latter is intended for diagnostic tests.
The ELISA method is used to determine IgG3 concentrations in cells. It is based on several analysis parameters including concentration of the sample. The ELISA method is comparable to an immunoassay sandwich. Although sequential immunoassays run faster but they have lower sensitivity. The midpoint between one-step and sequential immunoassays is 91.8 ng/mL, whereas the sensitivity of the one-step method is 226.1 ng/mL.
ESAT-6 can be detected using a colorimetric shift assay for the red spectrum. This test can detect antibodies, or a combination of. One-step colorimetric testing involves the addition of anti-ESAT-6 monoclonal antibodies in a solution containing ESAT-6 antigen. The anti-ESAT-6 molecule was added to the reaction after 30 minutes. The colorimetric red spectral shift was then measured by UV-spectroscopy. The wavelength shift between 400 and 800nm was used as a measure of the shift in the spectral. The other concentrations were adjusted using the optimal anti-ESAT-6 antibody concentration.
PMID: 8702785 by Lassalle P., et al. ESM-1 is a novel human endothelial cell-specific molecule expressed in lung and regulated by cytokines.
PMID: 20616313 by Brutsch R., et al. Integrin cytoplasmic domain-associated protein-1 attenuates sprouting angiogenesis.
*More publications can be found for each product on its corresponding product page