Project description:A major limitation in quantitative time-course proteomics is the tradeoff between depth-of-analysis and speed-of-analysis. In high complexity, high dynamic samples such as plant extracts, this is tradeoff is especially apparent. To address this, we evaluate multiple composition voltage (CV) High Field Asymetric Waveform Ion Mobility Spectrometry (FAIMSpro) settings using the latest label-free, single-shot Orbitrap-based DIA acquisition workflows for their ability to deeply-quantify the Arabidopsis thaliana seedling proteome at microliter per minute flow rates. Using a micro-flow BoxCar DIA acquisition workflow with -30, -50, -70 CV FAIMSpro settings we are able to consistently quantify >5000 Arabidopsis seedling proteins over a 21-minute gradient, facilitating the analysis of ~48 samples per day. Utilizing this acquisition approach, we next performed an abiotic stress time-course experiment, whereby we quantified proteome-level changes occurring in Arabidopsis seedling shoots and roots over 24 h of salt and osmotic stress. Here, we successfully quantify over >6400 shoot and >8500 root protein groups, respectively, quantifying nearly 9700 unique protein groups total across the study. Collectively, we pioneer a fast-flow, multi-CV FAIMSpro BoxCar DIA acquisition workflow that represents an exciting new analysis approach for quantitative time-course proteomics experimentation in plants.
Project description:A major limitation in quantitative time-course proteomics is the tradeoff between depth-of-analysis and speed-of-analysis. In high complexity, high dynamic samples such as plant extracts, this is tradeoff is especially apparent. To address this, we evaluate multiple composition voltage (CV) High Field Asymetric Waveform Ion Mobility Spectrometry (FAIMSpro) settings using the latest label-free, single-shot Orbitrap-based DIA acquisition workflows for their ability to deeply-quantify the Arabidopsis thaliana seedling proteome at microliter per minute flow rates. Using a micro-flow BoxCar DIA acquisition workflow with -30, -50, -70 CV FAIMSpro settings we are able to consistently quantify >5000 Arabidopsis seedling proteins over a 21-minute gradient, facilitating the analysis of ~48 samples per day. Utilizing this acquisition approach, we next performed an abiotic stress time-course experiment, whereby we quantified proteome-level changes occurring in Arabidopsis seedling shoots and roots over 24 h of salt and osmotic stress. Here, we successfully quantify over >6400 shoot and >8500 root protein groups, respectively, quantifying nearly 9700 unique protein groups total across the study. Collectively, we pioneer a fast-flow, multi-CV FAIMSpro BoxCar DIA acquisition workflow that represents an exciting new analysis approach for quantitative time-course proteomics experimentation in plants.
Project description:To identify key genes in the regulation of salt tolerance in the mangrove plant Bruguiera gymnorhiza, the transcriptome profiling under salt stress was carried out. Main roots and lateral roots were collected from the mangrove plants at 0, 1, 3, 6, 12 and 24 h, 3 6 and 12 days after NaCl-treatment. Keywords: time course, stress response, root type comparison
Project description:We performed a time course analysis (TC data set) of the response of whole seedling roots to 140mM NaCl at 5 time points after transfer (30 minutes, 1, 4, 16 and 32 hours). Cells are amazingly adept at integrating both external and internal cues to regulate transcriptional states. While internal processes such as differentiation and cell-type specification are generally understood to have an important impact on gene expression, very little is known about how cells utilize these developmental cues to regulate responses to external stimuli. Here we use the response to a well characterized environmental stress, high salinity, to obtain a global view of the role that cell identity plays in guiding transcriptional responses in the root of Arabidopsis. Our analysis is based on three microarray data sets we have generated that explore transcriptional changes spatially among 6 cell layers and 4 longitudinal regions or temporally along 5 time points after salt treatment. We show that the majority of the response to salt stress is cell-type specific resulting in the differential regulation of unique biological functions in subsets of cell layers. To understand the regulatory mechanisms controlling these responses we have analyzed cis-element enrichment in the promoters of salt responsive genes and demonstrate that known stress regulatory elements likely control responses to salt occurring in multiple cell types. Despite the extensive shift in transcriptional state that salt stress elicits, we are able to identify several biological processes that consistently define each cell layer and find that transcriptional regulators of cell-identity tend to exhibit robust cell-type specific expression. Finally, using mutants that disrupt cell-type specification in the epidermis, we reveal cell autonomous and non-autonomous effects when cell identity is altered. Together, these data elucidate a novel intersection between physiology and development and expand our understanding of how transcriptional states are regulated in a multi-cellular context. Keywords: Time course analysis