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New Statistical Algorithms for the Analysis of Mass - FU Berlin, FB MI ...

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14 CHAPTER 2. PRELI<strong>MI</strong>NARIES<br />

Fur<strong>the</strong>r analyses <strong>of</strong> <strong>the</strong>se discriminating peaks can lead to (at least partial)<br />

identification <strong>of</strong> <strong>the</strong> underlying peptides by tandem mass spectrometry<br />

(MS/MS) and might allow new insights into <strong>the</strong> actual function <strong>of</strong> <strong>the</strong>se proteins<br />

in <strong>the</strong> organism (see section 6.2.3 <strong>for</strong> an example).<br />

Drug Development & Pharmacokinetics<br />

<strong>Mass</strong> spectrometry based techniques are frequently used in many drug development<br />

stages such as “Peptide Mapping”, “Bioaffinity Screening”, “In Vivo<br />

Drug Screening”, “Metabolic Stability Screening”, “Degradant Identification”<br />

or “Quantitative Bioanalysis” (Lee and Kerns, 1999).<br />

Pharmacokinetics as a branch <strong>of</strong> pharmacology can be used to analyze <strong>the</strong><br />

metabolism <strong>of</strong> substances (e.g. newly developed drugs) brought into a living<br />

organism. MS based pharmacokinetical studies can help determining how<br />

quick a drug will be cleared from <strong>the</strong> Hepatic Blood flow and organs <strong>of</strong> <strong>the</strong><br />

body. Advantages <strong>of</strong> MS based technologies over commonly used methods such<br />

as UV based detection techniques are its high sensitivity and specificity and a<br />

very short analysis time (see e.g. (Covey et al., 1986; Hsieh and Korfmacher,<br />

2006)).<br />

Peptide Quantification<br />

Peptide quantification is a method to compare <strong>the</strong> amounts <strong>of</strong> a given protein<br />

among two or more samples. (For an introduction see e.g. (America et al.,<br />

2006; Wang et al., 2006; Wang, Zhou, Lin, Roy, Shaler, Hill, Norton, Kumar,<br />

Anderle and Becker, 2003).) There are two main strategies <strong>for</strong> quantification:<br />

Label-based approaches (e.g. ICAT, MeCAT, SILAC) use chemical labels<br />

to mark individual peptides as coming from one or <strong>the</strong> o<strong>the</strong>r sample and<br />

measure <strong>the</strong> difference in one MS run. For example additional neutrons<br />

are added to one <strong>of</strong> <strong>the</strong> samples by introducing stable isotopes in one<br />

or more <strong>of</strong> <strong>the</strong> atoms comprising <strong>the</strong> peptide under scrutiny (e.g., 2 H<br />

replacing 1 H). The peak intensities <strong>of</strong> <strong>the</strong> respective peptides can <strong>the</strong>n<br />

be compared to obtain a relative quantification <strong>of</strong> <strong>the</strong> peptide in sample<br />

1 vs. sample 2. See (Ong and Mann, 2005) <strong>for</strong> a good overview <strong>of</strong><br />

different labeling strategies.<br />

Label-free approaches depend on comparison <strong>of</strong> two (or more) individual<br />

MS runs <strong>of</strong> <strong>the</strong> same peptide (in different samples) and comparing <strong>the</strong><br />

peak intensities. Obviously, two main critical factors are <strong>the</strong> mass accuracy<br />

<strong>of</strong> <strong>the</strong> mass analyzer used and <strong>the</strong> ionization quality <strong>of</strong> <strong>the</strong> sample,<br />

since <strong>the</strong> quantification depends on <strong>the</strong> identification <strong>of</strong> peaks belonging<br />

to <strong>the</strong> peptide. The main advantage <strong>of</strong> this approach is <strong>the</strong> low cost,<br />

since peptides do not have to be biochemically modified.<br />

2.1.3 Proteomics<br />

The neologism “omics” refers to some (usually but not only) biological field <strong>of</strong><br />

study such as genomics or proteomics. The actual object <strong>of</strong> this study is <strong>the</strong>n<br />

built with <strong>the</strong> related neologism “omes”, such as <strong>the</strong> genome or proteome.<br />

Most <strong>of</strong> <strong>the</strong> first scientists to use <strong>the</strong> “-ome” suffix were Bioin<strong>for</strong>maticians<br />

and molecular biologists who wanted to refer to some sort <strong>of</strong> wholeness or

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