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Target of rapamycin (TOR) kinase is a conserved regulator of cell growth whose activity is modulated in response to nutrients, energy and stress. Key proteins involved in the pathway are conserved in the model photosynthetic microalga Chlamydomonas reinhardtii, but the substrates of TOR kinase and downstream signaling network have not been elucidated. Our study provides a new resource for investigating the phosphorylation networks governed by the TOR kinase pathway in Chlamydomonas. We used quantitative phosphoproteomics to investigate the effects of inhibiting Chlamydomonas TOR kinase on dynamic protein phosphorylation. Wild-type and AZD-insensitive Chlamydomonas strains were treated with TOR-specific chemical inhibitors (rapamycin, AZD8055 and Torin1), after which differentially affected phosphosites were identified. Our quantitative phosphoproteomic dataset comprised 2547 unique phosphosites from 1432 different proteins. Inhibition of TOR kinase caused significant quantitative changes in phosphorylation at 258 phosphosites, from 219 unique phosphopeptides. Our results include Chlamydomonas homologs of TOR signaling-related proteins, including a site on RPS6 with a decrease in phosphorylation. Additionally, phosphosites on proteins involved in translation and carotenoid biosynthesis were identified. Follow-up experiments guided by these phosphoproteomic findings in lycopene beta/epsilon cyclase showed that carotenoid levels are affected by TORC1 inhibition and carotenoid production is under TOR control in algae.

Plasmacytoid dendritic cells [pDCs] represent a rare innate immune subset uniquely endowed with the capacity to produce substantial amounts of type-I interferons. This function of pDCs is critical for effective antiviral defenses and has been implicated in autoimmunity. While IFN-I and select cytokines have been recognized as pDC secreted products, a comprehensive agnostic profiling of the pDC secretome in response to a physiologic stimulus has not been reported. We applied LC-MS/MS to catalogue the repertoire of proteins secreted by pDCs in the unperturbed condition and in response to challenge with influenza H1N1. We report the identification of a baseline pDC secretome, and the repertoire of virus-induced proteins including most type-I interferons, various cytokines, chemokines and granzyme B. Additionally, using single-cell RNA-seq [scRNA-seq], we perform multidimensional analyses of pDC transcriptional diversity immediately ex vivo and following stimulation. Our data evidence preexisting pDC heterogeneity, with subsequent highly specialized roles within the pDC population upon stimulation ranging from dedicated cytokine super-producers to cells with APC-like traits. Dynamic expression of transcription factors and surface markers characterize subclusters within activated pDCs. Integrating the proteomic and transcriptomic datasets confirms the pDC-subcluster origin of the proteins identified in the secretome. Our findings represent the most comprehensive molecular characterization of primary human pDCs at baseline, and in response to influenza virus, reported to date.

BI-X, a therapeutic protein under development for the treatment of human ocular disease via intravitreal administration, binds to its therapeutic targets and endogenous albumin in the vitreous humor. A monkey ocular pharmacokinetic (PK) study following BI-X administration was conducted to measure drug and albumin levels in plasma, the vitreous humor, the aqueous humor, and retina tissue at various timepoints post-dose. A comprehensive bioanalytical approach was implemented in support of this study. Five immunocapture-LC-MS/MS assays were developed and qualified for quantitating BI-X in different matrices, while ELISA was used for albumin measurement. Immunocapture at the protein or peptide level was evaluated to achieve adequate assay sensitivity. Drug and albumin assays were applied for the analysis of the monkey study samples.

Photosynthetic organisms use dynamic post-translational modifications to survive and adapt, which include reversible oxidative modifications of protein thiols that regulate protein structure, function, and activity. Efforts to quantify thiol modifications on a global scale have relied upon peptide derivatization, typically using isobaric tags such as TMT, ICAT, or iTRAQ that are more expensive, less accurate, and provide less proteome coverage than label-free approaches—suggesting the need for improved experimental designs for studies requiring maximal coverage and precision. Herein, we present the coverage and precision of resin-assisted thiol enrichment coupled to label-free quantitation for the characterization of reversible oxidative modifications on protein thiols. Using C. reinhardtii and Arabidopsis as model systems for algae and plants, we quantified 3662 and 1641 unique cysteinyl peptides, respectively, with median coefficient of variation (CV) of 13% and 16%. Further, our method is extendable for the detection of protein abundance changes and stoichiometries of cysteine oxidation. Finally, we demonstrate proof-of-principle for our method, and reveal that exogenous hydrogen peroxide treatment regulates the C. reinhardtii redox proteome by increasing or decreasing the level of oxidation of 501 or 67 peptides, respectively. As protein activity and function is controlled by oxidative modifications on protein thiols, resin-assisted thiol enrichment coupled to label-free quantitation can reveal how intracellular and environmental stimuli affect plant survival and fitness through oxidative stress. Graphical Abstract ᅟ

Post-translational modifications (PTMs) on proteins to form functional protein products are a key level of cellular signaling regulation. Because of this, there has been an immense effort in the proteomics community to improve quantitative enrichment, acquisition, and bioinformatics strategies for the analysis of PTMs to probe metabolic pathways. The identification of dynamic protein phosphorylation events, a vital PTM, is especially important for understanding kinase/ phosphatase-regulated signaling pathways, and is the focus of this dissertation. The aim of this dissertation is to develop and apply phosphoproteomic strategies in the alga Chlamydomonas reinhardtii to characterize the role of protein phosphorylation on cellular regulation in a diverse array of signaling networks. Techniques for algal cell culturing, protein extraction, quantitative enrichment, acquisition and bioinformatics processing developed and adapted for Chlamydomonas are discussed (Chapter 2). Using these techniques, a quantitative workflow for a dual enrichment strategy to target intact protein kinases via capture on immobilized multiplexed inhibitor beads with subsequent proteolytic digestion of unbound proteins and peptide-based phosphorylation enrichment was developed (Chapter 3). This workflow obtained quantitative coverage on 115 protein kinases and 2,304 phosphopeptides. Application of the quantitative phosphoproteomic pipeline was employed to study the effect of Target of Rapamycin (TOR) kinase inhibition on the Chlamydomonas phosphoproteome in wild-type (Chapter 4) and extension into a rapamycin hypersensitive mutant line (Chapter 5). From the wild-type study, three TOR inhibitors with varying mechanisms of inhibition were used to obtain quantitative coverage on 2,547 unique phosphosites with 258 phosphosites differentially changing following inhibition. This approach identified Chlamydomonas homologs of TOR signaling-related proteins such as RPS6 and LARP1 that had decreased phosphorylation upon TORC1 inhibition. Additionally, this led to follow-up experiments guided by our phosphoproteomic findings showing that carotenoid levels are affected by TORC1 inhibition, the first evidence that carotenoid production is under TOR control. From the rapamycin hypersensitive mutant study, the workflow obtained quantitative coverage on 2,699 phosphosites with 316 sites changing following rapamycin treatment. This study showed similarities with the sites modulated in the wild-type study described in Chapter 4 while also providing another distinct group of phosphosites not previously interrogated.

As molecular on-off switches, heterotrimeric G protein complexes, comprised of a G alpha subunit and an obligate G beta gamma dimer, transmit extracellular signals received by G protein coupled receptors (GPCRs) to cytoplasmic targets that respond to biotic and abiotic stimuli. Signal transduction is modulated by phosphorylation of GPCRs and G protein complexes. In Arabidopsis thaliana, the G alpha subunit AtGPA1 is phosphorylated by the receptor like kinase (RLK) BRI1-ASSOCIATED Kinase 1 (BAK1), but the extent that other RLKs phosphorylates AtGPA1 is unknown. We mapped 22 trans-phosphorylation sites on AtGPA1 by 12 RLKs hypothesized to act in the Arabidopsis G protein signaling pathway. Cis-phosphorylation sites on these RLKs were also identified. BRI1, BAK1, and SERK1 have been reported as Ser/Thr and Tyr dual specificity kinases. We identified 4 more dual specificity kinases: IOS1, PSY1R, PEPR1, and AT2G37050. Multiple sites are present in the core AtGPA1 functional units, including pSer52 and/or pThr53 of the conserved P-loop that directly binds nucleotide/phosphate, pThr164 and pSer175 from αE helix in the intramolecular domain interface for nucleotide exchange and GTP hydrolysis, and pThr193 and/or pThr194 in Switch I (SwI) that coordinates nucleotide exchange and protein partner binding. Several AtGPA1 S/T phosphorylation sites are nucleotide dependent phosphorylation patterns, such as S52 and/or T53 in the P-loop and T193 and/or T194 in SwI.

Target of Rapamycin (TOR) kinase is a conserved regulator of cell growth whose activity is modulated in response to nutrients, energy and stress. Key proteins involved in the TOR complex 1 (TORC1) are conserved in the model photosynthetic microalga Chlamydomonas reinhardtii, but the substrates of TOR kinase and downstream signaling network have not been elucidated. Here we used quantitative phosphoproteomics to investigate the effects of inhibiting Chlamydomonas TOR kinase on dynamic protein phosphorylation. Wild-type and AZD-insensitive Chlamydomonas strains were treated with TOR-specific chemical inhibitors (rapamycin, AZD8055 and Torin1), after which differentially affected phosphosites were identified. Our quantitative phosphoproteomic dataset comprised 2,547 unique phosphosites from 1,432 different proteins. Inhibition of TOR kinase caused significant quantitative changes in phosphorylation at 258 phosphosites, from 219 unique phosphopeptides, among which were phosphosites on proteins involved in translation, including RNA binding protein, LARP1, which showed a rapid >10-fold decrease in phosphorylation upon TOR kinase inhibition. Ten differentially affected phosphosites were from proteins whose homologs in other species are part of the TOR kinase signaling pathway, including Chlamydomonas RPS6 whose C-terminal phosphorylation decreased upon TOR inhibition.

Biomolecular condensates provide a strategy for cellular organization without a physical membrane barrier while allowing for dynamic, responsive organization of the cell. To date, very few biomolecular condensates have been identified in prokaryotes, presenting an obstacle to engineering these compartments in bacteria. As a novel strategy for bacterial compartmentalization, protein supercharging and complex coacervation were employed to engineer liquid-like condensates in E. coli. A simple model for the phase separation of supercharged proteins was developed and used to predict intracellular condensate formation. Herein, we demonstrate that GFP-dense condensates formed by expressing GFP variants of sufficient charge in cells are dynamic and enrich specific nucleic acid and protein components. This study provides a fundamental characterization of intracellular phase separation in E. coli driven by protein supercharging and highlights future utility in designing functional synthetic membraneless organelles.

Four sets of nonreactive solute transport experiments were conducted with micromodels. Each set consisted of three experiments with one variable, i.e., flow velocity, grain diameter, pore-aspect ratio, and flow-focusing heterogeneity. The data sets were offered to pore-scale modeling groups to test their numerical simulators. Each set consisted of two learning experiments, for which all results were made available, and one challenge experiment, for which only the experimental description and base input parameters were provided. The experimental results showed a nonlinear dependence of the transverse dispersion coefficient on the Peclet number, a negligible effect of the pore-aspect ratio on transverse mixing, and considerably enhanced mixing due to flow focusing. Five pore-scale models and one continuum-scale model were used to simulate the experiments. Of the pore-scale models, two used a pore-network (PN) method, two others are based on a lattice Boltzmann (LB) approach, and one used a computational fluid dynamics (CFD) technique. The learning experiments were used by the PN models to modify the standard perfect mixing approach in pore bodies into approaches to simulate the observed incomplete mixing. The LB and CFD models used the learning experiments to appropriately discretize the spatial grid representations. For the continuum modeling, the required dispersivity input values were estimated based on published nonlinear relations between transverse dispersion coefficients and Peclet number. Comparisons between experimental and numerical results for the four challenge experiments show that all pore-scale models were all able to satisfactorily simulate the experiments. The continuum model underestimated the required dispersivity values, resulting in reduced dispersion. The PN models were able to complete the simulations in a few minutes, whereas the direct models, which account for the micromodel geometry and underlying flow and transport physics, needed up to several days on supercomputers to resolve the more complex problems.