Plant Proteomic Research 2.0
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...
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Format: | Book Chapter |
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MDPI - Multidisciplinary Digital Publishing Institute
2019
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Online Access: | Get Fullteks DOAB: description of the publication |
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LEADER | 06913naaaa2202101uu 4500 | ||
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001 | doab_20_500_12854_56353 | ||
005 | 20210211 | ||
020 | |a books978-3-03921-063-3 | ||
020 | |a 9783039210626 | ||
020 | |a 9783039210633 | ||
024 | 7 | |a 10.3390/books978-3-03921-063-3 |c doi | |
041 | 0 | |a English | |
042 | |a dc | ||
100 | 1 | |a Komatsu, Setsuko |4 auth | |
245 | 1 | 0 | |a Plant Proteomic Research 2.0 |
260 | |b MDPI - Multidisciplinary Digital Publishing Institute |c 2019 | ||
300 | |a 1 electronic resource (594 p.) | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a 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. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by-nc-nd/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-nc-nd/4.0/ | ||
546 | |a English | ||
653 | |a 14-3-3 proteins | ||
653 | |a n/a | ||
653 | |a targeted two-dimensional electrophoresis | ||
653 | |a somatic embryogenesis | ||
653 | |a nitrogen metabolism | ||
653 | |a subtilase | ||
653 | |a Sporisorium scitamineum | ||
653 | |a non-orthodox seed | ||
653 | |a antioxidant activity | ||
653 | |a sweet potato plants infected by SPFMV | ||
653 | |a photosynthesis | ||
653 | |a B. acuminata petals | ||
653 | |a chlorophyll deficiency | ||
653 | |a seed proteomics | ||
653 | |a imbibition | ||
653 | |a pollination | ||
653 | |a Sarpo Mira | ||
653 | |a qRT-PCR | ||
653 | |a holm oak | ||
653 | |a tuber phosphoproteome | ||
653 | |a isobaric tags for relative and absolute quantitation (iTRAQ) | ||
653 | |a Quercus ilex | ||
653 | |a nucleotide pyrophosphatase/phosphodiesterase | ||
653 | |a lettuce | ||
653 | |a ?-subunit | ||
653 | |a protein phosphatase | ||
653 | |a germination | ||
653 | |a drought stress | ||
653 | |a pyruvate biosynthesis | ||
653 | |a weakening of carbon metabolism | ||
653 | |a differential proteins | ||
653 | |a heterotrimeric G protein | ||
653 | |a organ | ||
653 | |a LC-MS-based proteomics | ||
653 | |a potato proteomics | ||
653 | |a smut | ||
653 | |a gel-free/label-free proteomics | ||
653 | |a ? subunit | ||
653 | |a shotgun proteomics | ||
653 | |a 2D | ||
653 | |a chloroplast | ||
653 | |a proteome functional annotation | ||
653 | |a Phalaenopsis | ||
653 | |a Clematis terniflora DC. | ||
653 | |a wheat | ||
653 | |a Dn1-1 | ||
653 | |a carbon metabolism | ||
653 | |a physiological responses | ||
653 | |a Zea mays | ||
653 | |a phenylpropanoid biosynthesis | ||
653 | |a ISR | ||
653 | |a mass spectrometric analysis | ||
653 | |a patatin | ||
653 | |a leaf | ||
653 | |a pea (Pisum sativum L.) | ||
653 | |a maize | ||
653 | |a ergosterol | ||
653 | |a Camellia sinensis | ||
653 | |a seed storage proteins | ||
653 | |a silver nanoparticles | ||
653 | |a elevated CO2 | ||
653 | |a metacaspase | ||
653 | |a SPV2 and SPVG | ||
653 | |a SnRK1 | ||
653 | |a MALDI-TOF/TOF | ||
653 | |a (phospho)-proteomics | ||
653 | |a leaf spot | ||
653 | |a rice isogenic line | ||
653 | |a wheat leaf rust | ||
653 | |a pathway analysis | ||
653 | |a phosphoproteome | ||
653 | |a sugarcane | ||
653 | |a senescence | ||
653 | |a Oryza sativa L. | ||
653 | |a Arabidopsis thaliana | ||
653 | |a heat stress | ||
653 | |a gene ontology | ||
653 | |a innate immunity | ||
653 | |a Pseudomonas syringae | ||
653 | |a bolting | ||
653 | |a chlorophylls | ||
653 | |a shoot | ||
653 | |a Simmondsia chinensis | ||
653 | |a RT-qPCR | ||
653 | |a stresses responses | ||
653 | |a Solanum tuberosum | ||
653 | |a seeds | ||
653 | |a GC-TOF-MS | ||
653 | |a sucrose | ||
653 | |a proteome | ||
653 | |a Puccinia recondita | ||
653 | |a cultivar | ||
653 | |a Zea mays L. | ||
653 | |a secondary metabolism | ||
653 | |a ROS | ||
653 | |a Ricinus communis L. | ||
653 | |a after-ripening | ||
653 | |a cadmium | ||
653 | |a Stagonospora nodorum | ||
653 | |a virus induced gene silencing | ||
653 | |a quantitative proteomics | ||
653 | |a sweet potato plants non-infected by SPFMV | ||
653 | |a affinity chromatography | ||
653 | |a population variability | ||
653 | |a GS3 | ||
653 | |a fungal perception | ||
653 | |a ammonium | ||
653 | |a transcriptome profiling | ||
653 | |a mass spectrometry analysis | ||
653 | |a papain-like cysteine protease (PLCP) | ||
653 | |a cold stress | ||
653 | |a nitrate | ||
653 | |a late blight disease | ||
653 | |a early and late disease stages | ||
653 | |a seed imbibition | ||
653 | |a lesion mimic mutant | ||
653 | |a protease | ||
653 | |a proteome map | ||
653 | |a seed dormancy | ||
653 | |a petal | ||
653 | |a 2-DE proteomics | ||
653 | |a 2D DIGE | ||
653 | |a root | ||
653 | |a Phytophthora infestans | ||
653 | |a differentially abundant proteins (DAPs) | ||
653 | |a polyphenol oxidase | ||
653 | |a degradome | ||
653 | |a flavonoid | ||
653 | |a 14-3-3 | ||
653 | |a caspase-like | ||
653 | |a proteomics | ||
653 | |a RGG4 | ||
653 | |a co-infection | ||
653 | |a plasma membrane | ||
653 | |a chlorotic mutation | ||
653 | |a Medicago sativa | ||
653 | |a RGG3 | ||
653 | |a glycolysis | ||
653 | |a barley | ||
653 | |a 2-DE | ||
653 | |a protein phosphorylation | ||
653 | |a western blotting | ||
653 | |a N utilization efficiency | ||
653 | |a rice | ||
653 | |a plant pathogenesis responses | ||
653 | |a high temperature | ||
653 | |a data-independent acquisition | ||
653 | |a pattern recognition receptors | ||
653 | |a vegetative storage proteins | ||
653 | |a leaf cell wall proteome | ||
653 | |a plant-derived smoke | ||
653 | |a iTRAQ | ||
653 | |a starch | ||
653 | |a proteome profiling | ||
653 | |a Morus | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/1383 |7 0 |z Get Fullteks |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/56353 |7 0 |z DOAB: description of the publication |