1.
Comparative proteomic analysis of the response to silver ions and yeast extract in Salvia miltiorrhiza hairy root cultures.
Wang, Y, Shen, Y, Shen, Z, Zhao, L, Ning, D, Jiang, C, Zhao, R, Huang, L
Plant physiology and biochemistry : PPB. 2016;:364-373
Abstract
Biotic and abiotic stresses can inhibit plant growth, resulting in losses of crop productivity. However, moderate adverse stress can promote the accumulation of valuable natural products in medicinal plants. Elucidating the underlying molecular mechanisms thus might help optimize the variety of available plant medicinal materials and improve their quality. In this study, Salvia miltiorrhiza hairy root cultures were employed as an in vitro model of the Chinese herb Danshen. A comparative proteomic analysis using 2-dimensional gel electrophoresis and MALDI-TOF-MS was performed. By comparing the gel images of groups exposed to the stress of yeast extract (YE) combined with Ag(+) and controls, 64 proteins were identified that showed significant changes in protein abundance for at least one time point after treatment. According to analysis based on the KEGG and related physiological experimental verification, it was found that YE and Ag(+) stress induced a burst of reactive oxygen species and activated the Ca(2+)/calmodulin signaling pathway. Expression of immune-suppressive proteins increased. Epidermal cells underwent programmed cell death. Energy metabolism was enhanced and carbon metabolism shifted to favor the production of secondary metabolites such as lignin, tanshinone and salvianolic acids. The tanshinone and salvianolic acids were deposited on the collapsed epidermal cells forming a physicochemical barrier. The defense proteins and these natural products together enhanced the stress resistance of the plants. Since higher levels of natural products represent good quality in medicinal materials, this study sheds new light on quality formation mechanisms of medicinal plants and will hopefully encourage further research on how the planting environment affects the efficacy of herbal medicines.
2.
Accurate mass spectrometry based protein quantification via shared peptides.
Dost, B, Bandeira, N, Li, X, Shen, Z, Briggs, SP, Bafna, V
Journal of computational biology : a journal of computational molecular cell biology. 2012;(4):337-48
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Abstract
In mass spectrometry-based protein quantification, peptides that are shared across different protein sequences are often discarded as being uninformative with respect to each of the parent proteins. We investigate the use of shared peptides which are ubiquitous (~50% of peptides) in mass spectrometric data-sets for accurate protein identification and quantification. Different from existing approaches, we show how shared peptides can help compute the relative amounts of the proteins that contain them. Also, proteins with no unique peptide in the sample can still be analyzed for relative abundance. Our article uses shared peptides in protein quantification and makes use of combinatorial optimization to reduce the error in relative abundance measurements. We describe the topological and numerical properties required for robust estimates, and use them to improve our estimates for ill-conditioned systems. Extensive simulations validate our approach even in the presence of experimental error. We apply our method to a model of Arabidopsis thaliana root knot nematode infection, and investigate the differential role of several protein family members in mediating host response to the pathogen.