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2 Radioimmunoassay (RIA) Radioimmunoassay is a highly sensitive method of determining the amounts of hormones, drugs, vitamins, enzymes, viruses, tumor antigens, and serum proteins in biological samples It is based on the immunological reaction of antibodies and antigens One starts with either an antigen or antibody labeled with a radiotracer such as 3H, 14C, or 125I In a radioimmunoassay for antigen, one uses the idea that if a limited amount of antibody is available, the antigen molecules will compete for binding sites on the antibody If one starts with a certain amount of radiolabeled antigen, any additional antigen added will displace some the radiolabeled antigen and will not allow it to bind to the antibodies Thus, the procedure might be to mix antibody and radiolabeled antigen together and let them bind to each other Precipitate the complex from the solution Measure the activity of the supernatant.



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This is the amount of unbound antigen Now mix the same amounts of antibody and radiolabeled antigen together along with the unknown stable antigen sample The stable antigen will compete with the radiolabeled antigen for binding sites on the antibody molecules Some of the radiolabeled antigen will not be able to bind as it did before Precipitate the complexes from solution Measure the activity of the supernatant This activity is a measure of the amount of stable, unlabeled antigen present in the sample By constructing a calibration curve that shows the amount of radioactivity present in the supernatant after adding known amounts of unlabeled antigen, one can determine the amount of antigen present in a sample Thus, RIA is a special form of isotope dilution analysis (IDA) discussed below More than 107 immunoassays are performed in medicine and biochemistry in the United States per year.





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Management Studio is a Visual Studio-esque integrated environment that s used by database administrators and database developers. At its core is the visual Object Explorer, complete with lters and the capability to browse all the SQL Server servers (Database Engine, Analysis Services, Reporting Services, etc.). Management Studio s Query Editor is an excellent way to work with raw T-SQL code and it s integrated with the Solution Explorer to manage projects. Although the interface, shown in Figure 1-4, can look crowded, the windows are easily con gurable and can auto-hide.

To generate a new set of random integers, select any cell in column B. Then press F2 to edit the cell, and press Enter to reenter it. The number of calculations required depends on:

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The important advantages of this technique are high sensitivity and high speci city In some cases, picogram quantities can be measured 3 DNA Analysis DNA analysis is widely discussed in the news media because of its use in identifying criminals, establishing paternity, detecting genetic diseases, and so on The DNA in each living cell can be used as a ngerprint to identify individuals in a large population To obtain a DNA ngerprint of an individual, one extracts the DNA from a sample of blood, skin, hair, semen, and the like (Fig 42) (The cell walls are destroyed by osmosis or other techniques and the double-stranded DNA is decomposed into single-stranded pieces, which are collected) This DNA is then cut into pieces using enzymes that cut either side of a repeated sequence The result is a DNA mixture of segments of differing size.

Electrophoresis is used to sort the fragments by size spatially The spatially separated fragments are allowed to react with radiolabeled gene probes These gene probes contain radiolabeled speci c fragments of DNA that bind only to those DNA segments containing a nucleotide sequence that is complementary to its own (a sequence that would be its matching strand in the DNA double helix) The original DNA fragments are then identi ed by the radiolabeled DNA that has reacted with them, usually by autoradiography The physical pattern on the autoradiograph is a pattern of the DNA sequences and sizes..

regression, the use of all generated variables should be avoided because of the problem of multicolinearity Section 431 provides more details on this concept The Discretization (using ranges) option provides tools for converting a continuous numeric variable into a series of discrete values This conversion is based on speci ed ranges, as shown in Fig B17 Having selected a single variable, the number of ranges should be set, along with the lower and upper bounds for each range Once the ranges are set, this tool substitutes the old, continuous numeric variable with the new values associated with the ranges in which the values falls A value is also associated with each range, and after the transformation any value that is greater than or equal to the lower bound or less than the upper bound is assigned this new value.

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