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New method for identifying proteins found in trace quantities in the blood

Published on June 5, 2004 at 7:10 PM · No Comments

Using conventional technologies, researchers supported by the National Cancer Institute (Science Applications International Corporation-Frederick, Inc. (SAIC)) have developed a new method for identifying proteins found in trace quantities in the blood. The method offers hope for detecting tiny amounts of these blood-borne molecules that signal the presence of certain diseases, such as cancer, infectious diseases, behavioral disorders, developmental defects, and neurodegenerative diseases. These molecules might be useful biomarkers to aid in earlier detection and treatment of ovarian, breast, and prostate cancer. The National Cancer Institute (NCI) is part of the National Institutes of Health (NIH) and is the government's principal agency for cancer research.

Working at the Laboratory of Proteomics and Analytical Technologies at NCI-Frederick, Md., the researchers crafted a multi-step procedure for separating blood proteins derived from serum, which is the clear, yellowish liquid that separates out from blood after clotting and does not contain any cells. Together, all of these proteins are known as the serum proteome. Prior efforts to identify low-abundance proteins were not as successful mainly because separation steps to reduce amounts of large, high-abundance proteins caused a simultaneous loss of the smaller, low-abundance proteins. Separation and fractionation are needed to produce samples that can be analyzed by mass spectrometry, a high-throughput technique for identifying individual proteins.

To address this problem, the researchers performed a series of fractionations on a tiny volume of serum-about 0.04 teaspoons. The steps included several different methods of separation, called isoelectric focusing and chromatography, that are based on the size, electric charge, and other chemical properties that differ between proteins. These samples were then injected onto a mass spectrometer to acquire the raw sequence data that was subsequently linked to a human proteomic database to identify the observed molecules.

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