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Doelstelling: Mijn masterproef gaat over de moeilijke leesbaarheid van Engelstalige bijsluiters. Een onderzoek uitgevoerd door de Nederlandse Consumentenbond in samenwerking met de Universiteit van Utrecht toonde aan dat bijsluiters nog altijd ondermaats scoren qua kwaliteit. Aan de begrijpelijkheid van de bijsluiters kan nog veel verbeterd worden omdat een groot deel van de patiënten zich misnoegd voelen na het lezen van een bijsluiter. Een onderzoek uitgevoerd door Dr. Veronique Hoste et al. toonde aan dat het gebruik van medische terminologie in bijsluiters het grootste struikelblok vormt. Daarom bevindt mijn masterproef zich binnen het kader van het ABOP-project, dat als doel heeft op vaste basis meer leesbare bijsluiters te produceren. Mijn masterproef bestaat uit een experimentele studie waar verschillende moeilijke termen uit tien bijsluiters worden geëxtraheerd en volgens gecontroleerd of die vervangen kunnen worden door een populaire term of beschrijving. Middelen of methode: Eerst werd een literatuurstudie uitgevoerd over het ontstaan van bijsluiters en hun meest voorkomende problemen zoals de medische terminologie, gezondheidsanalfabetisme en de dokter-patiënt relatie. Ten tweede, werd een studie uitgevoerd a.d.h.v. een verzameld corpus. Dit corpus bestond uit tien bijsluiters over medicijnen die gebruikt worden als behandeling bij de ziekte van Crohn. Deze ziekte werd gekozen om het onderzoeksdomein af te bakenen. De tien bijsluiters bestonden uit: Entocort, Humira, Imuran, Medrol, Methotrexate, Pentasa, Prednisolone, Purinethol, Remicade, Salazopyrin, Sulphasalazine. Vervolgens volgde de annotatie van de bijsluiters. Deze annotatie gebeurde a.d.h.v. een linguistisch computergrogramma, Callisto genoemd. Met dit programma kon elk moeilijk verstaanbaar woord een welbepaald label krijgen. Uiteindelijk werden daarna de resultaten besproken. Resultaten: Globaal gezien, toonde deze studie aan dat nog steeds zeer veel bijsluiters moeilijke woorden bevatten. De meest voorkomende problemen waren dat er nog veel te veel wettenschappelijke termen aanwezig waren in de bijsluiters, en dat de meeste ambigue termen meestal niet duidelijk waren of gemakkelijk verward konden worden met andere gelijkaardige woorden. Een ander probleem was het gebruik van wettenschappelijke afkortingen, wiens betekenis wel verklaard werden naar nooit uitgelegd en daardoor de bijsluiter moeilijker maakten voor de patiënten. De ambigue afkortingen aan de andere kant werden bijna nooit verklaard, laat staan uitgelegd. Vervolgens was er nog het probleem dat als non-native van het Engels er altijd de tendens heerste om terug te vallen op de moedertaal, het Nederlands, wat het annoteren vaak bemoeilijkte en zo af en toe inconsistenties met zich meebracht.

Annotation. --- Difficult readability. --- Medical terminology. --- PILs. --- Patient information leaflets. --- Studie in de meertalige communicatie. --- Tags.

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Mass Spectrometry Data Analysis in Proteomics is an in-depth guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. As MS is a high throughput technique, proteomic researchers must attend carefully to the associated field of data analysis, and this volume outlines available bioinformatics programs, algorithms, and databases available for MS data analysis. General guidelines for data analysis using search engines such as Mascot, Xtandem, and VEMS are provided, with specific attention to identifying poor quality data and optimizing search parameters. Several different types of MS data are discussed, followed by a description of optimal methods for conversion of raw data into peak lists for input to search engines. Choosing the most accurate and complete databases is emphasized, and a report of available sequence databases is included. Methods for assembling expressed sequence tags (ESTs) into assembled nonredundant databases are provided, along with protocols for further processing the sequences into a format suitable for MS data. Mass Spectrometry Data Analysis in Proteomics describes publicly available applications whenever possible.

Spectrometric and optical chemical analysis --- Analytical biochemistry --- Information systems --- fysicochemie --- Biochemistry. --- Cytology. --- Bioinformatics. --- Biotechnology. --- Proteomics. --- Biochemistry, general. --- Cell Biology. --- Chemical engineering --- Genetic engineering --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Cell biology --- Cellular biology --- Cells --- Cytologists --- Biological chemistry --- Chemical composition of organisms --- Organisms --- Physiological chemistry --- Chemistry --- Medical sciences --- Molecular biology --- Proteins --- Data processing --- Composition --- Proteomics --- Mass Spectrometry --- Expressed Sequence Tags --- Methodology --- methods --- Proteomics - Methodology --- Mass Spectrometry - methods --- Proteomics - methods

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Kunsttheorie over het tekenen het teken grafische procédés --- Digitale kunsten vrije --- Computerkunst --- Raveel, Roger --- Kahn, Louis I. --- Maeyer, Marcel --- Panamarenko --- Mandelbaum, Stéphane --- Van Kerckhoven, Anne-Mie --- Darboven, Hanne --- Schilderkunst graffiti --- Kalligrafie --- 7.01 --- 741.01 --- kunst --- twintigste eeuw --- tekenkunst --- Raveel Roger --- architectuurtekeningen --- Mayer marcel --- fotokopies --- copy art --- Mandelbaum Stéphane --- Van kerckhoven Anne-Mie --- Darboven Hanne --- tags --- graffiti --- computerkunst --- Beyls Peter --- Dierickx Karel --- kalligrafie --- China --- 741.036 --- Kunst theorie, filosofie, esthetica --- Tekenkunst theorie, filosofie, esthetica --- Conferences - Meetings --- Kunsttheorie ; over het tekenen ; het teken ; grafische procédés --- Digitale kunsten ; vrije --- Schilderkunst ; graffiti --- Kunst ; theorie, filosofie, esthetica --- Tekenkunst ; theorie, filosofie, esthetica --- Drawing --- drawing [image-making] --- photocopies --- Art --- computer art [visual works] --- Kerckhoven, Van, Anne-Mie --- Costantini, Luca --- Kahn, Louis I

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Advancements in high-throughput “Omics” techniques have revolutionized plant molecular biology research. Proteomics offers one of the best options for the functional analysis of translated regions of the genome, generating a wealth of detailed information regarding the intrinsic mechanisms of plant stress responses. Various proteomic approaches are being exploited extensively for elucidating master regulator proteins which play key roles in stress perception and signaling, and these approaches largely involve gel-based and gel-free techniques, including both label-based and label-free protein quantification. Furthermore, post-translational modifications, subcellular localization, and protein–protein interactions provide deeper insight into protein molecular function. Their diverse applications contribute to the revelation of new insights into plant molecular responses to various biotic and abiotic stressors.

14-3-3 proteins --- n/a --- targeted two-dimensional electrophoresis --- somatic embryogenesis --- nitrogen metabolism --- subtilase --- Sporisorium scitamineum --- non-orthodox seed --- antioxidant activity --- sweet potato plants infected by SPFMV --- photosynthesis --- B. acuminata petals --- chlorophyll deficiency --- seed proteomics --- imbibition --- pollination --- Sarpo Mira --- qRT-PCR --- holm oak --- tuber phosphoproteome --- isobaric tags for relative and absolute quantitation (iTRAQ) --- Quercus ilex --- nucleotide pyrophosphatase/phosphodiesterase --- lettuce --- ?-subunit --- protein phosphatase --- germination --- drought stress --- pyruvate biosynthesis --- weakening of carbon metabolism --- differential proteins --- heterotrimeric G protein --- organ --- LC-MS-based proteomics --- potato proteomics --- smut --- gel-free/label-free proteomics --- ? subunit --- shotgun proteomics --- 2D --- chloroplast --- proteome functional annotation --- Phalaenopsis --- Clematis terniflora DC. --- wheat --- Dn1-1 --- carbon metabolism --- physiological responses --- Zea mays --- phenylpropanoid biosynthesis --- ISR --- mass spectrometric analysis --- patatin --- leaf --- pea (Pisum sativum L.) --- maize --- ergosterol --- Camellia sinensis --- seed storage proteins --- silver nanoparticles --- elevated CO2 --- metacaspase --- SPV2 and SPVG --- SnRK1 --- MALDI-TOF/TOF --- (phospho)-proteomics --- leaf spot --- rice isogenic line --- wheat leaf rust --- pathway analysis --- phosphoproteome --- sugarcane --- senescence --- Oryza sativa L. --- Arabidopsis thaliana --- heat stress --- gene ontology --- innate immunity --- Pseudomonas syringae --- bolting --- chlorophylls --- shoot --- Simmondsia chinensis --- RT-qPCR --- stresses responses --- Solanum tuberosum --- seeds --- GC-TOF-MS --- sucrose --- proteome --- Puccinia recondita --- cultivar --- Zea mays L. --- secondary metabolism --- ROS --- Ricinus communis L. --- after-ripening --- cadmium --- Stagonospora nodorum --- virus induced gene silencing --- quantitative proteomics --- sweet potato plants non-infected by SPFMV --- affinity chromatography --- population variability --- GS3 --- fungal perception --- ammonium --- transcriptome profiling --- mass spectrometry analysis --- papain-like cysteine protease (PLCP) --- cold stress --- nitrate --- late blight disease --- early and late disease stages --- seed imbibition --- lesion mimic mutant --- protease --- proteome map --- seed dormancy --- petal --- 2-DE proteomics --- 2D DIGE --- root --- Phytophthora infestans --- differentially abundant proteins (DAPs) --- polyphenol oxidase --- degradome --- flavonoid --- 14-3-3 --- caspase-like --- proteomics --- RGG4 --- co-infection --- plasma membrane --- chlorotic mutation --- Medicago sativa --- RGG3 --- glycolysis --- barley --- 2-DE --- protein phosphorylation --- western blotting --- N utilization efficiency --- rice --- plant pathogenesis responses --- high temperature --- data-independent acquisition --- pattern recognition receptors --- vegetative storage proteins --- leaf cell wall proteome --- plant-derived smoke --- iTRAQ --- starch --- proteome profiling --- Morus

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Integrative omics of plants in response to stress conditions play more crucial roles in the post-genomic era. High-quality genomic data provide more deeper understanding of how plants to survive under environmental stresses. This book is focused on concluding the recent progress in the Protein and Proteome Atlas in plants under different stresses. It covers various aspects of plant protein ranging from agricultural proteomics, structure and function of proteins, and approaches for protein identification and quantification.

phosphoproteomics --- GLU1 --- somatic embryogenesis --- CHA-SQ-1 --- nitrogen fertilizer --- chilling stress --- differentially abundant proteins --- ATP synthase --- photosynthetic parameters --- photosynthesis --- constitutive splicing --- phosphorylation --- Jatropha curcas --- plants under stress --- postharvest freshness --- Alternanthera philoxeroides --- rubber latex --- Millettia pinnata --- molecular and biochemical basis --- filling kernel --- drought stress --- comparative proteomic analysis --- domain --- micro-exons --- phylogeny --- phos-tagTM --- E. angustifolia --- root cell elongation --- ABA --- pollen abortion --- lncRNA --- transcriptome --- radish --- redox homeostasis --- Nelumbo nucifera --- sugar beet --- shotgun proteomics --- proteomes --- high-temperature stress --- post-genomics era --- model plant --- salt tolerance --- miRNA --- wheat --- physiological response --- stress --- visual proteome map --- transcriptional dynamics --- leaf --- maize --- Dunaliella salina --- phosphatidylinositol --- S-adenosylmethionine decarboxylase --- Gossypium hirsutum --- flavonoid biosynthesis --- phosphatase --- wood vinegar --- heat shock proteins --- silicate limitation --- purine metabolism --- natural rubber biosynthesis --- ancient genes --- cotton --- rubber grass --- abiotic stress --- heat stress --- maturation --- low-temperature stress --- molecular basis --- transcriptome sequencing --- ROS scavenging --- widely targeted metabolomics --- transdifferentiation --- seed development --- alternative splicing --- cultivars --- inositol --- salt stress --- chlorophyll fluorescence parameters --- proteome --- carbon fixation --- AGPase --- transcript-metabolite network --- molecular mechanisms --- Triticum aestivum L. --- Zea mays L. --- ROS --- label-free quantification --- woody oilseed plants --- heat-sensitive spinach variety --- MIPS --- quantitative proteomics --- regulated mechanism --- two-dimensional gel electrophoresis --- potassium --- glutathione --- Salinity stress --- integrated omics --- diatom --- ATP synthase CF1 alpha subunit (chloroplast) --- root --- proteome atlas --- brittle-2 --- mass spectrometry --- genomics --- Taraxacum kok-saghyz --- cytomorphology --- proteomics --- arbuscular mycorrhizal fungi --- signaling pathway --- proteomic --- loss-of-function mutant --- rice --- seedling --- wucai --- leaf sheath --- root and shoot --- antioxidant enzyme --- exon-intron structure diversity --- isobaric tags for relative and absolute quantitation --- regulation and metabolism --- concerted network --- drought --- heat response --- VIGS --- iTRAQ --- nitrogen use efficiency (NUE) --- stem