Browsing by Author "Slade, William O."

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    Exogenous Auxin Elicits Changes in the Arabidopsis thaliana Root Proteome in a Time-Dependent Manner
    Slade, William O.; Ray, W. Keith; Hildreth, Sherry B.; Winkel, Brenda S. J.; Helm, Richard F. (MDPI, 2017-07-10)
    Auxin is involved in many aspects of root development and physiology, including the formation of lateral roots. Improving our understanding of how the auxin response is mediated at the protein level over time can aid in developing a more complete molecular framework of the process. This study evaluates the effects of exogenous auxin treatment on the Arabidopsis root proteome after exposure of young seedlings to auxin for 8, 12, and 24 h, a timeframe permitting the initiation and full maturation of individual lateral roots. Root protein extracts were processed to peptides, fractionated using off-line strong-cation exchange, and analyzed using ultra-performance liquid chromatography and data independent acquisition-based mass spectrometry. Protein abundances were then tabulated using label-free techniques and evaluated for significant changes. Approximately 2000 proteins were identified during the time course experiment, with the number of differences between the treated and control roots increasing over the 24 h time period, with more proteins found at higher abundance with exposure to auxin than at reduced abundance. Although the proteins identified and changing in levels at each time point represented similar biological processes, each time point represented a distinct snapshot of the response. Auxin coordinately regulates many physiological events in roots and does so by influencing the accumulation and loss of distinct proteins in a time-dependent manner. Data are available via ProteomeXchange with the identifier PXD001400.
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    Global and targeted proteomics in Arabidopsis thaliana: A study of secondary metabolism and phytohormone signaling
    Slade, William O. (Virginia Tech, 2013-09-20)
    Proteomics is defined as a tool to explore how proteins control and regulate important molecular and physiological processes. Further, peptide-centric approaches, or bottom-up methods, provide more comprehensive coverage of a proteome compared to whole-protein approaches. This body of work assesses the technical feasibility of several bottom-up proteomics technologies applied to Arabidopsis thaliana, including gel-based methods, those that require peptide derivitization, and those that do not. Selected-reaction monitoring (SRM) for targeted proteomics, and data-independent acquisition (MSE) was also evaluated. In addition to assessing the capabilities of these technologies, we then applied them to the context of uncovering new insights into the flavonoid biosynthetic pathway and the auxin and ethylene signaling pathways. Chapter one provides background information related to secondary metabolism, phytohormone signaling, and the status of proteomics in plants. In Chapter 2 and Appendix A, we establish the methodology to apply traditional and DiGE-based 2D-GE strategies to global proteomics in Arabidopsis. Our results suggest that while 2D-GE is applicable to Arabidopsis, there are practical and conceptual limitations that must be understood. Further, our results suggest that pertubations in the flavonoid pathway do not affect the abundance of proteins in Arabidopsis seedlings, roots, or flowers that can be studied using 2D-GE and DiGE. Additionally, we demonstrated the first parallel comparison of the effects of auxin and ethylene on the Arabidopsis root proteome and observed no overlap among the proteins regulated by the two phytohormones, at least for the most abundant proteins observed by 2D-GE. Chapter 3 explores the efficacy of selected reaction monitoring for relative peptide quantification in Arabidopsis roots. Our results suggest that while the technology parallels application in yeast and humans, there are substantial analytical challenges that much be addressed. In Chapter 4 we explore the MSE data acquisition scheme for global proteomics in Arabidopsis. We observe that treatment with exogenous auxin affects the abundance of many proteins representing diverse biological processes. Interestingly, we observe minimal overlap among genes and proteins regulated by exogenous auxin. Appendix B explores the efficacy of iTRAQ labeling for relative peptide quantification in Arabidopsis roots.