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Mass spectrometry is central to shotgun proteomics, an application that seeks to quantify as much of the total protein complement of a biological sample as possible. The high mass accuracy, resolution, capacity and scan rate of modern mass spectrometers have greatly facilitated this endeavor. The sum of MS to MS/MS transitions in tandem mass spectrometry, the spectral count (SC), of a peptide has been shown to be a reliable estimate of its relative abundance. However, when using SCs, optimal MS configurations are crucial in order to maximize the number of low abundant proteins quantified while keeping the estimates for the highly abundant proteins within the linear dynamic range.In this study, LC/MS/MS analysis was performed using an LTQ‐OrbiTrap on a sample containing many highly abundant proteins. Tuning the LTQ‐OrbiTrap mass spectrometer to minimize redundant MS/MS acquisition and to maximize resolution of the proteome by accurately measured m/z ratios resulted in an appreciable increase in quantified low abundant proteins. An exclusion duration of 90 s and an exclusion width of 10 ppm were found best of those tested. The spectral count of individual proteins was found to be highly reproducible and protein abundance ratios were not affected by the different settings that were applied. We conclude that on a high mass accuracy instrument spectral counting is a robust measure of protein abundance even for samples containing many highly abundant proteins and that tuning dynamic exclusion parameters appreciably improves the number of proteins that can be reliably quantified.
Publikation
Protein phosphorylation/dephosphorylation is a central post‐translational modification in plant hormone signaling, but little is known about its extent and function. Although pertinent protein kinases and phosphatases have been predicted and identified for a variety of hormone responses, classical biochemical approaches have so far revealed only a few candidate proteins and even fewer phosphorylation sites. Here we performed a global quantitative analysis of the Arabidopsis phosphoproteome in response to a time course of treatments with various plant hormones using phosphopeptide enrichment and subsequent mass accuracy precursor alignment (MAPA). The use of three time points, 1, 3 and 6 h, in combination with five phytohormone treatments, abscisic acid (ABA), indole‐3‐acetic acid (IAA), gibberellic acid (GA), jasmonic acid (JA) and kinetin, resulted in 324 000 precursor ions from 54 LC‐Orbitrap‐MS analyses quantified and aligned in a data matrix with the dimension of 6000 × 54 using the ProtMax algorithm. To dissect the phytohormone responses, multivariate principal/independent components analysis was performed. In total, 152 phosphopeptides were identified as differentially regulated; these phosphopeptides are involved in a wide variety of signaling pathways. New phosphorylation sites were identified for ABA response element binding factors that showed a specific increase in response to ABA. New phosphorylation sites were also found for RLKs and auxin transporters. We found that different hormones regulate distinct amino acid residues of members of the same protein families. In contrast, tyrosine phosphorylation of the Gα subunit appeared to be a common response for multiple hormones, demonstrating global cross‐talk among hormone signaling pathways.