Proteome data associated with the leaf senescence in Glycine max

The data presented in this article are associated with the article “Coupling of gel-based 2-DE and 1-DE shotgun proteomics approaches to dig deep into the leaf senescence proteome of Glycine max” (R. Gupta, S.J. Lee, C.W. Min, S.W. Kim, K.-H. Park, D.-W. Bae, et al., 2016) [1]. Leaf senescence is on...

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Bibliographic Details
Main Authors: Ravi Gupta, Su Ji Lee, Cheol Woo Min, So Wun Kim, Ki-Hun Park, Dong-Won Bae, Byong Won Lee, Ganesh Kumar Agrawal, Randeep Rakwal, Sun Tae Kim
Format: Article
Language:English
Published: Elsevier 2016-12-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340916305467
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Summary:The data presented in this article are associated with the article “Coupling of gel-based 2-DE and 1-DE shotgun proteomics approaches to dig deep into the leaf senescence proteome of Glycine max” (R. Gupta, S.J. Lee, C.W. Min, S.W. Kim, K.-H. Park, D.-W. Bae, et al., 2016) [1]. Leaf senescence is one of the important aspects of the life cycle of a plant that leads to the recycling of nutrients from source to sink cells. To understand the leaf senescence-associated proteins, we used a combination of gel-based 2-DE and 1-DE shotgun proteomic approaches. Here, we display the 2-DE, Mass spectrometry, and Gene ontology data related with the leaf senescence in soybean [1].
ISSN:2352-3409