title: A designed peptide chip: protein fingerprinting technology with a dry peptide array and statistical data mining.
abstract: There has recently been increased interest in the potential for microarray technologies to study protein networks in a whole cell system within a single experiment. Protein-detecting microarrays are composed of numerous agents immobilized within a tiny area on solid surfaces to capture targeted proteins and to detect interactions in a high-throughput fashion. In this chapter, in order to extend the usability of peptide microarrays, we describe a novel dry peptide microarray format to obtain protein fingerprint (PFP) data sets and a statistical PFP data manipulation technique to quantitatively analyze targeted proteins.
authors: Graduate School of Bioscience and Biotechnology, Tokyo Institute of Technology, Midori, Yokohama, Japan.
authors: Kenji
authors: K
authors: Usui
authors: Kin-ya
authors: KY
authors: Tomizaki
authors: Hisakazu
authors: H
authors: Mihara
mesh_terms: D000818:Animals; D003627:Data Interpretation, Statistical; D006801:Humans; D008954:Models, Biological; D019151:Peptide Library; D010449:Peptide Mapping / Q000379:methods* / Q000706:statistics & numerical data; D010455:Peptides / Q000032:analysis* / Q000138:chemical synthesis; D040081:Protein Array Analysis / Q000379:methods* / Q000706:statistics & numerical data; D014867:Water / Q000494:pharmacology
chemical_list: D019151:Peptide Library; D010455:Peptides; D014867:Water