Rice proteomics: A move toward expanded proteome coverage to comparative and functional proteomics uncovers the mysteries of rice and plant biology
Identifieur interne : 006748 ( Main/Exploration ); précédent : 006747; suivant : 006749Rice proteomics: A move toward expanded proteome coverage to comparative and functional proteomics uncovers the mysteries of rice and plant biology
Auteurs : GANESH KUMAR AGRAWAL [Népal] ; Randeep Rakwal [Népal, Japon]Source :
- Proteomics : (Weinheim. Print) [ 1615-9853 ] ; 2011.
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- Pascal (Inist)
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Abstract
Growing rice is an important socio-economic activity. Rice proteomics has achieved a tremendous progress in establishing techniques to proteomes of almost all tissues, organs, and organelles during the past one decade (year 2000-2010). We have compiled these progresses time to time over this period. The present compilation discusses proteomics research in rice published between 1st April 2008 and 30th July 2010. Progress continues mainly towards protein cataloging deep into the proteome with high-confident protein assignment and some functional significance than ever before by (i) identifying previously unreported/low-abundance proteins, (ii) quantifying relative/absolute values of proteins, (iii) assigning protein responses to biotic/abiotic stresses, (iv) protein localization into organelles, (v) validating previous proteomes and eliminating false-positive proteins, and (vi) discovering potential biomarkers for tissues, organs, organelles, and for screening transgenic plants and food-safety evaluation. The notable achievements in global mapping of phosphorylation sites and identifying several novel secreted proteins into the extracellular space are worth appreciating. Our ever-increasing knowledge on the rice proteomics is beginning to impact the biology of not only rice, but also crops and plants. These major achievements will be discussed in this review keeping in mind newcomers, young, and established scientists in proteomics and plants.
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Rice proteomics has achieved a tremendous progress in establishing techniques to proteomes of almost all tissues, organs, and organelles during the past one decade (year 2000-2010). We have compiled these progresses time to time over this period. The present compilation discusses proteomics research in rice published between 1st April 2008 and 30th July 2010. Progress continues mainly towards protein cataloging deep into the proteome with high-confident protein assignment and some functional significance than ever before by (i) identifying previously unreported/low-abundance proteins, (ii) quantifying relative/absolute values of proteins, (iii) assigning protein responses to biotic/abiotic stresses, (iv) protein localization into organelles, (v) validating previous proteomes and eliminating false-positive proteins, and (vi) discovering potential biomarkers for tissues, organs, organelles, and for screening transgenic plants and food-safety evaluation. The notable achievements in global mapping of phosphorylation sites and identifying several novel secreted proteins into the extracellular space are worth appreciating. Our ever-increasing knowledge on the rice proteomics is beginning to impact the biology of not only rice, but also crops and plants. These major achievements will be discussed in this review keeping in mind newcomers, young, and established scientists in proteomics and plants.</div></front></TEI><affiliations><list><country><li>Japon</li><li>Népal</li></country><region><li>Région de Kantō</li></region><settlement><li>Tokyo</li></settlement></list><tree><country name="Népal"><noRegion><name sortKey="Ganesh Kumar Agrawal" sort="Ganesh Kumar Agrawal" uniqKey="Ganesh Kumar Agrawal" last="Ganesh Kumar Agrawal">GANESH KUMAR AGRAWAL</name></noRegion><name sortKey="Rakwal, Randeep" sort="Rakwal, Randeep" uniqKey="Rakwal R" first="Randeep" last="Rakwal">Randeep Rakwal</name></country><country name="Japon"><region name="Région de Kantō"><name sortKey="Rakwal, Randeep" sort="Rakwal, Randeep" uniqKey="Rakwal R" first="Randeep" last="Rakwal">Randeep Rakwal</name></region><name sortKey="Rakwal, Randeep" sort="Rakwal, Randeep" uniqKey="Rakwal R" first="Randeep" last="Rakwal">Randeep Rakwal</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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