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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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Detalles Bibliográficos
Autores principales: Gupta, Ravi, Lee, Su Ji, Min, Cheol Woo, Kim, So Wun, Park, Ki-Hun, Bae, Dong-Won, Lee, Byong Won, Agrawal, Ganesh Kumar, Rakwal, Randeep, Kim, Sun Tae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5013252/
https://www.ncbi.nlm.nih.gov/pubmed/27631020
http://dx.doi.org/10.1016/j.dib.2016.08.045
Descripción
Sumario: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].