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	<front>
				<journal-meta>
			<journal-id journal-id-type="nlm-ta">OMICS Publishing Group</journal-id>
			<journal-id journal-id-type="publisher-id">opg</journal-id>
            <journal-title>Journal of Proteomics &amp; Bioinformatics</journal-title>
			<issn pub-type="epub">0974-276X</issn>
			<publisher>
				<publisher-name>OMICS Publishing Group</publisher-name>
				<publisher-loc>India, USA</publisher-loc>
			</publisher>
		</journal-meta>
		<article-meta>
		<article-id pub-id-type="publisher-id">000063</article-id>
		<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Abstract</subject>
				</subj-group>
				<subj-group subj-group-type="Discipline">
					<subject>Biochemistry</subject>
				</subj-group>
				<subj-group subj-group-type="System Taxonomy">
					<subject>Proteomics</subject>
					<subject>Bioinformatics</subject>
					<subject>Genomics</subject>
					<subject>Transcriptomics</subject>
					<subject>Biomarkers</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>The ProteoMiner and the FortyNiners: Searching for Gold Nuggets in the Proteomic Arena</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<name>
						<surname>Righetti</surname>
						<given-names>P. G.</given-names>
					</name>
					<xref ref-type="aff" rid="A1">1</xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Boschett</surname>
						<given-names>E.</given-names>
					</name>
					<xref ref-type="aff" rid="A2">2</xref>
				</contrib>
			</contrib-group>
			<aff id="A1"><label>1</label>Department of Chemistry, Materials and Chemical Egineering, Polytechnic of Milano, Milan, Italy</aff>
			<aff id="A2"><label>2</label>Bio-Rad Laboratories, Gif-sur-Yvette, France</aff>
			<pub-date pub-type="collection">
				<month>08</month>
				<year>2008</year>
			</pub-date>
			<pub-date pub-type="epub">
				<day>25</day>
				<month>07</month>
				<year>2008</year>
			</pub-date>			
			<volume>S2</volume>
			<issue>01</issue>
			<fpage>004</fpage>
			<lpage>005</lpage>
			<history>
			<date date-type="received">
			     <day>05</day>
				 <month>07</month>
				 <year>2008</year>
			</date>
			<date date-type="accepted">
			      <day>20</day>
				  <month>07</month>
				  <year>2008</year>
			</date>
			</history>		
			<permissions>
			 <copyright-statement>Copyright: &copy; PG Righetti et al.</copyright-statement>
        <copyright-year>2008</copyright-year>
        <license license-type="open-access">
          <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</p>
        </license>
      </permissions>	
	  <abstract>
				<p>The present lecture will cover modern aspects of combinatorial ligand libraries (CLL), as used for analyzing the low-abundance proteome in association with mass spectrometry. First, the capturing properties of baits of different lengths (from single amino acid to hexa-peptides) are described, to show that a plateau is rapidly reached above a tetra-peptide in length, thus confirming the validity of having adopted hexapeptides for the considered application. The mechanism of interaction with proteins from very complex proteomes and the ability to decrease the dynamic concentration range is demonstrated with the help of mass spectrometry analysis. Examples are given on how treatment with CLLs dramatically improves the detectability of peptides in mass spectrometry analysis and permits one to detect a very large number of proteins as compared with control, untreated samples. The use of complementary libraries is discussed with the aim to discover additional low-abundance species that escaped the first 
library. The lecture will end by discussing the possibility to discover extremely rare gene products, and the quantitative aspect of the technology when associated with mass spectrometry. Some insights on the applications for hidden, low-abundance biomarkers are also presented. The samples to be dealt with: the cytoplasmic proteome of the red blood cell, egg white proteomics, cerebrospinal fluid, human sera and urines. Last, but not least, the use of CLLs for the discovery of a large number of previously undetected host proteins in recombinant DNA products.</p>				
			</abstract>	
			<custom-meta-wrap>
				<custom-meta>
					<meta-name>citation</meta-name>
					<meta-value>PG Righetti, E Boschetti (2008) The ProteoMiner and the FortyNiners: Searching for Gold Nuggets in the Proteomic Arena.</meta-value>
				</custom-meta>
			</custom-meta-wrap>
		</article-meta>
	</front>	
	<back>
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