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Rice proteomics: A model system for crop improvement and food security
Article first published online: 22 JAN 2014
© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Special Issue: REVIEWS 2014
Volume 14, Issue 4-5, pages 593–610, March 2014
How to Cite
Kim, S. T., Kim, S. G., Agrawal, G. K., Kikuchi, S. and Rakwal, R. (2014), Rice proteomics: A model system for crop improvement and food security. Proteomics, 14: 593–610. doi: 10.1002/pmic.201300388
- Issue published online: 4 MAR 2014
- Article first published online: 22 JAN 2014
- Accepted manuscript online: 9 DEC 2013 01:57PM EST
- Manuscript Accepted: 7 NOV 2013
- Manuscript Revised: 24 OCT 2013
- Manuscript Received: 31 AUG 2013
- Bio-Scientific Research
- Pusan National University (STK)
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|pmic7630-sup-0001-tableS1.xls||74K||Table S1. Proteomics reports signifying RICE PROTEOMICS. Only those references are cited here that appearred during the period August 2010 to the end of July 2013 (three years). For other references and their significance in rice proteomics, readers are recommended to go through the series of comprehensive reviews on RICE PROTEOMICS [Rakwal & Agrawal, 2003; Agrawal & Rakwal, 2006; Agrawal et al., 2006; Agrawal & Rakwal, 2008; Agrawal et al., 2009; Agrawal & Rakwal, 2011].|
|pmic7630-sup-0002-tableS2.xls||356K||Table S2. Differentially up- and down-regulated proteins in various tissues upon abiotic stresses.|
|pmic7630-sup-0003-tableS3.xls||36K||Table S3. Most prevalent proteins differentially induced in response to abiotic stresses.|
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