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- Table of Contents
Facts about Islet cell autoantigen 1.
.
Human | |
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Gene Name: | ICA1 |
Uniprot: | Q05084 |
Entrez: | 3382 |
Belongs to: |
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No superfamily |
diabetes mellitus type I autoantigen; ICA1; ICA69; ICAp69; ICAp69Islet cell autoantigen p69,69 kDa islet cell autoantigen; islet cell autoantigen 1 (69kD); islet cell autoantigen 1 isoform; islet cell autoantigen 1; islet cell autoantigen 1, 69kDa; p69
Mass (kDA):
54.645 kDA
Human | |
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Location: | 7p21.3 |
Sequence: | 7; NC_000007.14 (8113184..8262687, complement) |
Cytoplasm, cytosol. Golgi apparatus membrane; Peripheral membrane protein. Cytoplasmic vesicle, secretory vesicle membrane; Peripheral membrane protein. Cytoplasmic vesicle, secretory vesicle, synaptic vesicle membrane; Peripheral membrane protein. Predominantly cytosolic. Also exists as a membrane-bound form which has been found associated with synaptic vesicles and also with the Golgi complex and immature secretory granules.
In this article, we'll discuss the benefits of a primary-secondary-ABC system for labeling specimens with two or three different antibodies. We will also talk about the Super Vision Detection tool and the ICA1 mark, and how it assists researchers in locating proteins with high-specificity and low background. Our ultimate goal, ultimately, is to maximize your ELISA experiment.
To maintain normal post-pandemic conditions, it is essential to be able to label biological specimens with multiple labels. Expanding vaccination programs across the globe is critical to the prevention of the next pandemic. Boster Bio's primary-secondary-ABC system enables dual and triple labeling of specimens, enabling researchers to obtain more detailed information about a biological sample.
COVID-19 diagnosis currently requires that samples are sent to centralized laboratories. This slows down turnaround and can lead to samples losing their integrity while being transported. This new technique is faster, and could be used at-the-point-of care to diagnose patients more quickly. Researchers have access to more data about viral mutations thanks to the new method. This will improve epidemiological studies. It will also track the emergence, and potential spread, of more severe strains.
This approach allows researchers with high precision to identify the most relevant proteins, while retaining a low background and high level of specificity. Researchers can easily compare different protein samples and not only can they determine the exact location of proteins. This is particularly useful in research on cancer, where multiple proteins can be identified with ease due to their high background and low specificity.
Boster Bio's Super Vision detection tools allow researchers to map proteins with low background and high specificity, unlike traditional immunoblotting methods. These kits can be made more sensitive by increasing the antigen concentrations. Researchers can also compare the results with other methods to get more precise results. Researchers can combine the results of different analyses to see how closely they correlate with various treatments.
Using an artificial intelligence (AI) computer-aided diagnosis (Ai) system, the team at the Battelle Memorial Institute has developed a signature for the SARS-CoV-2 virus. It is currently being tested in several clinical studies. The REBS+ system's performance is even better, with a shorter sample time of just 30 minutes.
These tools allow researchers to identify and isolate the most commonly found types of SARS/CoV-2 virus. Doctors will be better able to identify and pinpoint individuals at risk and prepare effective immunization plans. It's not a scientific issue anymore, but a practical necessity. The COVID-19 pandemic has tested biotechnological companies to their limits, creating a desperate need for reagents and diagnostic kits. Reverse transcriptases, which are required to amplify viral genomicRNA, are the problem with most diagnostic kits.
A label-free biosensor is another option that is simple and fast. The combination of label-free biosensors and solid-state field-effect transistors offers a low-cost and miniaturized sensing platform. This technology can be used to detect COVID-19 in patients without COVID-19 symptoms.
Boster Bio's Super Vision detection kit allows researchers to pinpoint proteins with high specificity and low background. They use engineered, surface cysteines as position sensor to determine the location at which the antigen came in contact. Once the detection devices have been optimized, researchers will be able to conduct a variety of experiments. These techniques can then be used to identify potential therapeutic targets or develop new drugs.
Boster Bio's ICA1 is a powerful anti-apoptotic marker. It decreases caspase-1 expression, which in turn inhibits LPS-induced LPS pyroptosis. The ICA marker is compatible for cellular as well as molecular imaging. The ICA gene expression is widespread in human and animal tissues. Numerous studies have shown that ICA inhibits pyroptosis.
ICA is a protein that inhibits the production of MMP-1, -3, and 13. It also suppresses RANK signaling, osteoprotegerin, NLRP3 and osteoprotegerin. Interestingly, it also inhibits the production of osteoprotegerin and IL-1b, which have been linked to OA. ICA also inhibits NLRP3, an enzyme which promotes osteoarthritis.
PMID: 8326004 by Pietropaolo M., et al. Islet cell autoantigen 69 kD (ICA69). Molecular cloning and characterization of a novel diabetes-associated autoantigen.
PMID: 7918678 by Miyazaki I., et al. Cloning of human and rat p69 cDNA, a candidate autoimmune target in type 1 diabetes.