LEADER 03467nam 2200733Ia 450 001 9910780466403321 005 20230607214344.0 010 $a1-280-50548-6 010 $a9786610505487 010 $a600-00-0441-9 010 $a1-60129-430-1 035 $a(CKB)111087028237636 035 $a(EBL)267500 035 $a(OCoLC)191037952 035 $a(SSID)ssj0000163593 035 $a(PQKBManifestationID)12038893 035 $a(PQKBTitleCode)TC0000163593 035 $a(PQKBWorkID)10108274 035 $a(PQKB)10833204 035 $a(MiAaPQ)EBC267500 035 $a(Au-PeEL)EBL267500 035 $a(CaPaEBR)ebr10116433 035 $a(CaONFJC)MIL50548 035 $a(OCoLC)437171317 035 $a(EXLCZ)99111087028237636 100 $a20030914d2001 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aGlobal strategies for disease detection and treatment$b[electronic resource] $eproteomics /$fguest editor Sam Hanash ; foreword by Sudhir Srivastava and Sam Hanash 210 $aAmsterdam $cInternational Organisations Services$d2001 215 $a1 online resource (115 p.) 225 1 $aDisease markers,$x0278-0240 ;$vv17 ; no. 4 ; 2001 300 $aSpecial issue. 311 $a0-585-45881-2 311 $a1-58603-249-6 327 $aCover; Foreword: Global Strategies for Disease Detection and Treatment: Proteomics; Proteome analysis - A novel approach to understand the pathogenesis of Type 1 diabetes mellitus; Proteomic-based approach for the identification of tumor markers associated with hepatocellular carcinoma; The application of protein microarrays to serum diagnostics: Prostate cancer as a test case; Protein expression analysis: From 'tip of the iceberg' to a global method; Analysis of the proteomic profiling of brain tissue in Alzheimer's disease; Proteomics and the inner ear 327 $aProteomics as the tool to search for lung disease markers in bronchoalveolar lavagePseudomonas aeruginosa and a proteomic approach to bacterial pathogenesis; A proteomic approach to the identification of lung cancer markers; Proteomic patterns of nipple aspirate fluids obtained by SELDI-TOF: Potential for new biomarkers to aid in the diagnosis of breast cancer; Author Index Volume 17 (2001); Keyword Index Volume 17 (2001) 330 $aThe field of proteomics holds great promise for identifying non-targeted, global molecular profiles ""signatures"" of normal and diseased cells. This work shows that strategies based on the separate analysis of subcellular compartments provide the means to determine protein location in a cell. 410 0$aDisease markers ;$vv17 ; no. 4 ; 2001. 606 $aProteomics 606 $aProteins$xStructure 606 $aProtein binding 606 $aGene expression 606 $aDNA microarrays 606 $aPost-translational modification 615 0$aProteomics. 615 0$aProteins$xStructure. 615 0$aProtein binding. 615 0$aGene expression. 615 0$aDNA microarrays. 615 0$aPost-translational modification. 676 $a572.6 701 $aSrivastava$b Sudhir$f1954-$01150035 701 $aHanash$b Samir M$01488496 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910780466403321 996 $aGlobal strategies for disease detection and treatment$93708746 997 $aUNINA