NanoString is a new and innovative technology for DNA fingerprinting. It is based on enzyme-free chemistry, which means it requires no cDNA conversion or amplification. Instead, it uses the same DNA sequence and provides accurate results for both simple and complex biological molecules.
Enzyme-free
NanoString is a highly multiplexed, enzyme-free technique that uses fluorescent probes to profile specific molecules. This technique requires no pre-amplification of cDNA or polymerization, and is compatible with a variety of sample types. The system avoids amplification bias that can lead to under-amplification and over-amplification of some sequences.
Several different panels have been developed for this method, ranging from 200-770 genes. These panels are used in immunology, oncology, and other areas of research. A number of sample types are able to be analyzed with this technology, including human, animal, and plant samples. Most gene expression panels come in human versions.
Requires no cDNA conversion or amplification
There is a new way to perform gene expression analysis that requires no cDNA conversion or amplification. This is an alternative to traditional qPCR that can offer increased sensitivity and fidelity and is ideal for sample archiving and real-time qPCR. With the ability to sequence and amplify RNA molecules without a need for cDNA conversion, this method could prove to be very useful in the future. The new technology allows researchers to take advantage of the DRS (dimer resolution scan) capability found in many TaqMan arrays and other molecule sequencing technologies.
The advantages of this technique are obvious. Besides providing a more accurate PCR amplification process, the amplified molecule sequencing technology provides a more convenient way to perform qPCR on samples that are difficult to use for conventional PCR. In addition, the method can be used to analyze the relative expression of a gene using TaqMan arrays.
Risks and uncertainties
If you want to make sure you are predicting the risks of an experimental drug, you will need to understand what uncertainty is and how to quantify it. You will also need to take a lot of assumptions into account.
In risk assessment, uncertainties are the uncertainty of a risk, a substance, or an outcome of an experiment. For example, a fair coin toss will yield approximately half heads. However, there is no certainty in the outcome.
Risk is the probability of an adverse event or loss. Uncertainty in the outcome of a risk can be a problem if you are not careful. An experiment that involves a large population of people might produce an outcome that is not predictable. It may be due to a lack of information, or the underlying probabilistic process.
