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0-TESTO COMPLETO.pdf - Fondazione Santa Lucia

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FISM.9 – Proteomics and metabolomics investigations for the identification of multiple…<br />

ried out by the use of exploratory data analysis processes, including basic statistics<br />

and multivariate techniques designed to identify systematic relations<br />

among variables and to cluster the different clinical groups. The statistical<br />

analysis tools, actually in use in our laboratory, will be complemented by new<br />

bioinformatics methods, as for example the Independent Component Analysis.<br />

This is a signal processing technique that proved large reliability in the<br />

extraction of protein signal profiles [Mantini et al. 2008].<br />

At the end of data analysis, specific signals that are consistently found<br />

within groups and are differently expressed across groups will be detected.<br />

Signals which would specifically cluster with a clinical class would be thoroughly<br />

characterised by means of further mass spectrometric investigations.<br />

This procedure would employ the use of MALDI-TOF-MS reflectron<br />

mode and nanoLC-TANDEM-MS on hybrid instruments quadrupole-time of<br />

flight (Q-TOF Ultima, Waters-Micromass). The strategy follows a preliminary<br />

chromatographic separation 1D or 2D, such as ionic exchanger coupled to a<br />

reverse phase, in order to reduce sample complexity. Fractions containing the<br />

signals of interest are then analysed by a mass finger print approach after proteolysis<br />

with trypsin. The MALDI-TOF-MS reflectron mode and the nanoLC-<br />

QTOF-MS/MS data obtained from these experiments would be then using to<br />

fit genomic or protein databases, possibly returning unique protein identification.<br />

These experiments might eventually lead to the development of a preliminary<br />

diagnostic and/or prognostic assay for multiple sclerosis.<br />

The investigation of protein patterns would be as well pursued by 2D-<br />

PAGE analysis of CSF samples of patients pooled according to their clinical<br />

profile and distribution of molecular markers from the linear MALDI-TOF-<br />

MS analysis. 2D-PAGE protein profile analysis will be employed in conjunction<br />

with MALDI-TOF – MS for the analysis of tryptic digests for mass finger<br />

print identification. Each analysed sample would be replicated in 2D-PAGE<br />

independent experiments and the obtained average master differentially evaluated.<br />

Differences in spot volumes greater then 5 fold increment or decrement<br />

would be considered significant.<br />

Mass finger print experiment will be acquired on a MALDI-TOF Reflex IV<br />

or Ultraflex III instruments (Bruker-Daltonics) operating in reflectron/positive<br />

ion mode. Within the investigation of protein post-translational modifications<br />

we will focused our attention on protein carbonylation. These investigation<br />

will take advantage from “ in strip derivatization technique ” including internal<br />

standard thus enabling to perform a relative quantification of carbonylated<br />

proteins in the CSF. Samples are separated on non-linear 3-10 pH range<br />

1 st dimension and after focusing IPG strips are derivatized with 2,4 dinitrophenylhydrazine<br />

(DNPH). Carbonylated proteins are detected using anti-DNP<br />

antibody. This method allows the visualization of oxidized proteins by 2-DE<br />

with high reproducibility because the derivatization is made after the focusing<br />

step avoiding pI alterations.<br />

The fine micro-characterization of protein primary structure and post<br />

translation modifications would be pursued via fragmentation analysis of proteolytic<br />

peptides. In order to perform these experiments we have developed<br />

MS/MS experiments both on hybrid ESI-Q-TOF instrument, equipped with a<br />

2009 629

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