New Statistical Algorithms for the Analysis of Mass - FU Berlin, FB MI ...
New Statistical Algorithms for the Analysis of Mass - FU Berlin, FB MI ...
New Statistical Algorithms for the Analysis of Mass - FU Berlin, FB MI ...
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102 CHAPTER 4. (BIO-)MEDICAL APPLICATIONS<br />
in human cancer research (see above) but also in understanding a biological<br />
system. These studies usually aim at <strong>the</strong> identification <strong>of</strong> protein fingerprints<br />
that characterize <strong>the</strong> difference between a system at <strong>the</strong> different stages. Below<br />
we give some success stories in this area <strong>of</strong> mass spectrometry-based research.<br />
Identification <strong>of</strong> Proteins in Kinase Pathways<br />
A compelling example <strong>of</strong> <strong>the</strong> value <strong>of</strong> comparative proteomics <strong>for</strong> assigning<br />
unique cellular functions to uncharacterized members <strong>of</strong> protein classes was<br />
done by (Khan et al., 2005). They developed an innovative cell-biological strategy<br />
based on mass spectrometry proteomics to enrich distinct sexual stages <strong>of</strong><br />
P.berghei life cycle that allowed <strong>the</strong> generation <strong>of</strong> high-quality cellular models<br />
<strong>for</strong> in-depth analysis. The result <strong>of</strong> this study was <strong>the</strong> most comprehensive<br />
inventory <strong>of</strong> sex-specific parasite proteins generated so far, including <strong>the</strong> discovery<br />
<strong>of</strong> novel protein kinasis regulating sex-specific signalling pathways.<br />
Identification <strong>of</strong> ATM/ATR candidates in DNA-damage Response<br />
Pathways<br />
An excellent example how quantative mass spectrometry-based methods can<br />
used <strong>for</strong> mapping protein phosphorylation sites in proteomes is given by (Matsuoka<br />
et al., 2007).<br />
Identification <strong>of</strong> Proteins in Insulin Pathways<br />
(Dong et al., 2007) show that quantitative mass-spectrometry-based proteomics<br />
using stable isotope labelling can be applied to intact organisms, as well as<br />
cell-culture preparations, thus greatly expanding <strong>the</strong> potential applications <strong>of</strong><br />
this method.<br />
4.6.3 Fingerprinting <strong>the</strong> Influenza Virus<br />
Influenza is still a deadly virus that continues to cause illness all over <strong>the</strong> world.<br />
The Influenza type A virus (most virulent in humans) genome is contained on<br />
eight single (non-paired) RNA strands that code <strong>for</strong> eleven proteins. One <strong>of</strong><br />
<strong>the</strong>se proteins, HA, encodes hemaglutinin which determines <strong>the</strong> extent <strong>of</strong> an<br />
infection into a host organism. Screening <strong>of</strong> <strong>the</strong> virus is necessary <strong>for</strong> <strong>the</strong><br />
development <strong>of</strong> effective vaccines, since even a point mutation in <strong>the</strong> HA gene<br />
sequence can render a vaccine ineffective. Usual screening techniques such<br />
as enzyme immunoassays, complement fixation and heagglutination inhibition<br />
(HI) assays are quite time consuming and do not provide molecular details.<br />
A recent paper by (Downard and Morrissey, 2007) introduces a new surveillance<br />
approach <strong>for</strong> screening <strong>the</strong> structure and antigenicity <strong>of</strong> <strong>the</strong> virus. The<br />
method is based on creation <strong>of</strong> MS and MS/MS spectra from <strong>the</strong> tryptic digest<br />
<strong>of</strong> hemagglutin. The resulting MS fingerprints can be compared to reference<br />
fingerprints and by analyzing <strong>the</strong> MS/MS spectra even <strong>the</strong> molecular structure<br />
and sequence can be determined in a single step.