LEADER 02456nam 2200421 450 001 9910220019603321 005 20230222153732.0 035 $a(CKB)3800000000216521 035 $a(NjHacI)993800000000216521 035 $a(EXLCZ)993800000000216521 100 $a20230222d2017 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aPlant Proteomic Research /$fedited by Setsuko Komatsu and Zahed Hossain 210 1$aBasel :$cMDPI - Multidisciplinary Digital Publishing Institute,$d2017. 210 4$dİ2017 215 $a1 online resource (xi, 316 pages) $cillustrations 311 $a3-03842-429-3 320 $aIncludes bibliographical references. 330 $aPlants, being sessile in nature, are constantly exposed to environmental challenges resulting in substantial yield loss. To cope with harsh environments, plants have developed a wide range of adaptation strategies involving morpho-anatomical, physiological, and biochemical traits. In recent years, there has been phenomenal progress in the understanding of plant responses to environmental cues at the protein level. This progress has been fueled by the advancement in mass spectrometry techniques, complemented with genome-sequence data and modern bioinformatics analysis with improved sample preparation and fractionation strategies. As proteins ultimately regulate cellular functions, it is perhaps of greater importance to understand the changes that occur at the protein-abundance level, rather than the modulation of mRNA expression. This Special Issue on "Plant Proteomic Research" brings together a selection of insightful papers that address some of these issues related to applications of proteomic techniques in elucidating master regulator proteins and the pathways associated with plant development and stress responses. This Issue includes four reviews and 13 original articles primarily on environmental proteomic studies. 606 $aPlant proteomics 606 $aProteins$xAnalysis 606 $aProteomics 615 0$aPlant proteomics. 615 0$aProteins$xAnalysis. 615 0$aProteomics. 676 $a572.6 702 $aKomatsu$b Setsuko 702 $aHossain$b Zahed 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910220019603321 996 $aPlant Proteomic Research$92276333 997 $aUNINA