LEADER 05731nam 2200733Ia 450 001 9910139593603321 005 20200520144314.0 010 $a1-283-28285-2 010 $a9786613282859 010 $a1-118-13703-5 010 $a1-118-13704-3 010 $a1-118-13701-9 035 $a(CKB)2550000000054371 035 $a(EBL)818767 035 $a(OCoLC)761321884 035 $a(SSID)ssj0000540463 035 $a(PQKBManifestationID)11324647 035 $a(PQKBTitleCode)TC0000540463 035 $a(PQKBWorkID)10598118 035 $a(PQKB)11093674 035 $a(MiAaPQ)EBC818767 035 $a(Au-PeEL)EBL818767 035 $a(CaPaEBR)ebr10501256 035 $a(CaONFJC)MIL328285 035 $a(PPN)171925513 035 $a(EXLCZ)992550000000054371 100 $a20110601d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aProteomics of biological systems$b[electronic resource] $eprotein phosphorylation using mass spectrometry techniques /$fBryan M Ham 210 $aHoboken, N.J. $cJohn Wiley & Sons$d2012 215 $a1 online resource (376 p.) 300 $aDescription based upon print version of record. 311 $a1-118-02896-1 320 $aIncludes bibliographical references and index. 327 $aPROTEOMICS OF BIOLOGICAL SYSTEMS: Protein Phosphorylation Using Mass Spectrometry Techniques; CONTENTS; PREFACE; ACKNOWLEDGMENTS; ABOUT THE AUTHOR; 1: Posttranslational Modification (PTM) of Proteins; 1.1 OVER 200 FORMS OF PTM OF PROTEINS; 1.2 THREE MAIN TYPES OF PTM STUDIED BY MS; 1.3 OVERVIEW OF NANO-ELECTROSPRAY/NANOFLOW LC-MS; 1.3.1 Definition and Description of MS; 1.3.2 Basic Design of Mass Analyzer Instrumentation; 1.3.3 ESI; 1.3.4 Nano-ESI; 1.4 OVERVIEW OF NUCLEIC ACIDS; 1.5 PROTEINS AND PROTEOMICS; 1.5.1 Introduction to Proteomics; 1.5.2 Protein Structure and Chemistry 327 $a1.5.3 Bottom-Up Proteomics: MS of Peptides1.5.3.1 History and Strategy; 1.5.3.2 Protein Identification through Product Ion Spectra; 1.5.3.3 High-Energy Product Ions; 1.5.3.4 De Novo Sequencing; 1.5.3.5 Electron Capture Dissociation (ECD); 1.5.4 Top-Down Proteomics: MS of Intact Proteins; 1.5.4.1 Background; 1.5.4.2 GP Basicity and Protein Charging; 1.5.4.3 Calculation of Charge State and Molecular Weight; 1.5.4.4 Top-Down Protein Sequencing; 1.5.5 Systems Biology and Bioinformatics; 1.5.6 Biomarkers in Cancer; REFERENCES; 2: Glycosylation of Proteins; 2.1 PRODUCTION OF A GLYCOPROTEIN 327 $a2.2 BIOLOGICAL PROCESSES OF PROTEIN GLYCOSYLATION2.3 N-LINKED AND O-LINKED GLYCOSYLATION; 2.4 CARBOHYDRATES; 2.4.1 Ionization of Oligosaccharides; 2.4.2 Carbohydrate Fragmentation; 2.4.3 Complex Oligosaccharide Structural Elucidation; 2.5 THREE OBJECTIVES IN STUDYING GLYCOPROTEINS; 2.6 GLYCOSYLATION STUDY APPROACHES; 2.6.1 MS of Glycopeptides; 2.6.2 Mass Pattern Recognition; 2.6.2.1 High Galactose Glycosylation Pattern; 2.6.3 Charge State Determination; 2.6.4 Diagnostic Fragment Ions; 2.6.5 High-Resolution/High-Mass Accuracy Measurement and Identification; 2.6.6 Digested Bovine Fetuin 327 $aREFERENCES3: Sulfation of Proteins as Posttranslational Modification; 3.1 GLYCOSAMINOGLYCAN SULFATION; 3.2 CELLULAR PROCESSES INVOLVED IN SULFATION; 3.3 BRIEF EXAMPLE OF PHOSPHORYLATION; 3.4 SULFOTRANSFERASE CLASS OF ENZYMES; 3.5 FRAGMENTATION NOMENCLATURE FOR CARBOHYDRATES; 3.6 SULFATED MUCIN OLIGOSACCHARIDES; 3.7 TYROSINE SULFATION; 3.8 TYROSYLPROTEIN SULFOTRANSFERASES TPST1 AND TPST2; 3.9 O-SULFATED HUMAN PROTEINS; 3.10 SULFATED PEPTIDE PRODUCT ION SPECTRA; 3.11 USE OF HIGHER ENERGY COLLISIONS; 3.12 ELECTRON CAPTURE DISSOCIATION (ECD); 3.13 SULFATION VERSUS PHOSPHORYLATION; REFERENCES 327 $a4: Eukaryote PTM as Phosphorylation: Normal State Studies4.1 MASS SPECTRAL MEASUREMENT WITH EXAMPLES OF HELA CELL PHOSPHOPROTEOME; 4.1.1 Introduction; 4.1.2 Protein Phosphatase and Kinase; 4.1.3 Hydroxy-Amino Acid Phosphorylation; 4.1.4 Traditional Phosphoproteomic Approaches; 4.1.5 Current Approaches; 4.1.5.1 Phosphoproteomic Enrichment Techniques; 4.1.5.2 IMAC; 4.1.5.3 MOAC; 4.1.5.4 Methylation of Peptides prior to IMAC or MOAC Enrichment; 4.1.6 The Ideal Approach; 4.1.7 One-Dimensional (1-D) Sodium Dodecyl Sulfate (SDS) PAGE; 4.1.8 Tandem MS Approach; 4.1.8.1 pS Loss of Phosphate Group 327 $a4.1.8.2 pT Loss of Phosphate Group 330 $aPhosphorylation is the addition of a phosphate (PO4) group to a protein or other organic molecule. Phosphorylation activates or deactivates many protein enzymes, causing or preventing the mechanisms of diseases such as cancer and diabetes. This book shows how to use mass spectrometry to determine whether or not a protein has been correctly modified by the addition of a phosphate group. It also provides a combination of detailed, step-by-step methodology for phosphoproteomic sample preparation, mass spectral instrumental analysis, and data interpretation approaches. Furthermore, it i 606 $aProteomics$xMethodology 606 $aPhosphorylation$xResearch$xMethodology 606 $aPhosphoproteins$xSynthesis 606 $aMass spectrometry 606 $aBiological systems$xResearch$xMethodology 615 0$aProteomics$xMethodology. 615 0$aPhosphorylation$xResearch$xMethodology. 615 0$aPhosphoproteins$xSynthesis. 615 0$aMass spectrometry. 615 0$aBiological systems$xResearch$xMethodology. 676 $a572/.62 700 $aHam$b Bryan M$0314951 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139593603321 996 $aProteomics of biological systems$92104474 997 $aUNINA LEADER 03835nam 22005655 450 001 9910590084903321 005 20250630101735.0 010 $a3-031-06894-7 024 7 $a10.1007/978-3-031-06894-2 035 $a(MiAaPQ)EBC7079609 035 $a(Au-PeEL)EBL7079609 035 $a(CKB)24767660800041 035 $a(PPN)264194020 035 $a(DE-He213)978-3-031-06894-2 035 $a(EXLCZ)9924767660800041 100 $a20220831d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAmbient Intelligence ? Software and Applications ? 12th International Symposium on Ambient Intelligence /$fedited by Paulo Novais, Joao Carneiro, Pablo Chamoso 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (182 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v483 311 08$a3-031-06893-9 327 $aFormalizing Digital Proprioception for Devices, Environments, and Users -- Users with Motor Impairments? Preferences for SmartWearables to Access and Interact with Ambient Intelligence Applications and Services -- A data-locality-aware Distributed Learning System -- IoT Artifacts: Incorporating Artifacts into the SPADE Platform -- Ambient Photomontage: Ambiently Superimposing Multiple Perspectives on a Human Visual Perspective -- Formalizing Digital Proprioception for Devices, Environments, and Users -- Decision Support System for facility location problems in fleet management -- Towards a Model-driven Ontology-based Architecture for Generating Adaptive User Interfaces. 330 $aThis book presents the latest research on Ambient Intelligence (AmI) including software and applications in different areas such as Internet of Things, Multi-Agent Systems or e-Learning, among others. AmI is a paradigm emerging from Artificial Intelligence, in which computers are used as proactive tools for assisting people with their day-to-day activities, making everyone?s lives more comfortable. Another main concern of AmI originates from the human?computer interaction domain and focuses on offering ways to interact with systems in a more natural way by means of user-friendly interfaces. The published book correspond to technical and novel works carried out by scientists conducting research within the AmI area in one of the areas mentioned above. The intended readers are those with mainly technical profiles who are already working in the area of AmI or who want to focus their current work in this area. The papers collected in this book were presented at a symposium which was jointly organized by the Universidade do Minho and University of Salamanca. The latest installment was held in Salamanca, Spain, from October 6th to 8th, 2021. The authors wish to thank the sponsors: IBM, Indra, Viewnext, Global Exchange, AEPIA, APPIA and AIR Institute. 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v483 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a004.019 676 $a004.019 702 $aNovais$b Paulo 702 $aCarneiro$b Joa?o Emanuel 702 $aChamoso$b Pablo 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910590084903321 996 $aAmbient Intelligence ? Software and Applications ? 12th International Symposium on Ambient Intelligence$94403363 997 $aUNINA