Mayuri Sadoine
@hhu.de
Research associate, Institute of Cell and Interaction Biology
Heinrich-Heine University Düsseldorf
RESEARCH INTERESTS
Biosensors, Microbiology
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Mayuri Sadoine, Roberto De Michele, Milan Župunski, Guido Grossmann, and Vanessa Castro-Rodríguez
Oxford University Press (OUP)
Abstract Understanding mechanisms of nutrient allocation in organisms requires precise knowledge of the spatiotemporal dynamics of small molecules in vivo. Genetically encoded sensors are powerful tools for studying nutrient distribution and dynamics, as they enable minimally invasive monitoring of nutrient steady-state levels in situ. Numerous types of genetically encoded sensors for nutrients have been designed and applied in mammalian cells and fungi. However, to date, their application for visualizing changing nutrient levels in planta remains limited. Systematic sensor-based approaches could provide the quantitative, kinetic information on tissue-specific, cellular, and subcellular distributions and dynamics of nutrients in situ that is needed for the development of theoretical nutrient flux models that form the basis for future crop engineering. Here, we review various approaches that can be used to measure nutrients in planta with an overview over conventional techniques, as well as genetically encoded sensors currently available for nutrient monitoring, and discuss their strengths and limitations. We provide a list of currently available sensors and summarize approaches for their application at the level of cellular compartments and organelles. When used in combination with bioassays on intact organisms and precise, yet destructive analytical methods, the spatiotemporal resolution of sensors offers the prospect of a holistic understanding of nutrient flux in plants.
J. Obinna Ejike, Mayuri Sadoine, Yi Shen, Yuuma Ishikawa, Erdem Sunal, Sebastian Hänsch, Anna B. Hamacher, Wolf B. Frommer, Michael M. Wudick, Robert E. Campbell,et al.
American Chemical Society (ACS)
Genetically encoded sensors enable quantitative imaging of analytes in live cells. State-of-the-art sensors are commonly constructed by combining ligand-binding domains with one or more sensitized fluorescent protein (FP) domains. Sensors based on a single FP are susceptible to artifacts caused by differing expression levels or sensor distribution in vivo. Hence, our lab developed dual-FP Matryoshka technology introduced by a single cassette that contains a stable large Stokes shift (LSS) reference FP nested within a reporter FP (cpEGFP), allowing simple construction of intensiometric sensors with the capacity for ratiometric quantification. The first-generation Green-Orange (GO) Matryoshka cassette established proof of concept but required custom optical setups to maximize achievable dynamic range. Here, we present a genetically encoded calcium sensor that employs optimized second-generation Green-Apple (GA) Matryoshka technology that incorporates a newly designed red LSSmApple fluorophore. LSSmApple provides improved excitation spectrum overlap with cpEGFP, allowing for monochromatic co-excitation with blue light. The exceptionally large Stokes shift of LSSmApple results in improved emission spectrum separation from cpEGFP, which minimizes fluorophore bleed-through and facilitates imaging using standard dichroics and red fluorescent protein (RFP) emission filters. We developed an image analysis pipeline for yeast (Saccharomyces cerevisiae) timelapse imaging that utilizes LSSmApple to segment and track cells for high-throughput quantitative analysis. In summary, we engineered a new fluorescent protein, constructed a genetically encoded calcium indicator (GA-MatryoshCaMP6s), and performed calcium imaging in yeast as a demonstration.
Thomas J. Kleist, I Winnie Lin, Sophia Xu, Grigory Maksaev, Mayuri Sadoine, Elizabeth S. Haswell, Wolf B. Frommer, and Michael M. Wudick
MDPI AG
Interactions between physical forces and membrane proteins underpin many forms of environmental sensation and acclimation. Microbes survive osmotic stresses with the help of mechanically gated ion channels and osmolyte transporters. Plant mechanosensitive ion channels have been shown to function in defense signaling. Here, we engineered genetically encoded osmolality sensors (OzTracs) by fusing fluorescent protein spectral variants to the mechanosensitive ion channels MscL from E. coli or MSL10 from A. thaliana. When expressed in yeast cells, the OzTrac sensors reported osmolality changes as a proportional change in the emission ratio of the two fluorescent protein domains. Live-cell imaging revealed an accumulation of fluorescent sensors in internal aggregates, presumably derived from the endomembrane system. Thus, OzTrac sensors serve as osmolality-dependent reporters through an indirect mechanism, such as effects on molecular crowding or fluorophore solvation.
Mayuri Sadoine, Yuuma Ishikawa, Thomas J. Kleist, Michael M. Wudick, Masayoshi Nakamura, Guido Grossmann, Wolf B. Frommer, and Cheng-Hsun Ho
Oxford University Press (OUP)
Abstract The understanding of signaling and metabolic processes in multicellular organisms requires knowledge of the spatial dynamics of small molecules and the activities of enzymes, transporters, and other proteins in vivo, as well as biophysical parameters inside cells and across tissues. The cellular distribution of receptors, ligands, and activation state must be integrated with information about the cellular distribution of metabolites in relation to metabolic fluxes and signaling dynamics in order to achieve the promise of in vivo biochemistry. Genetically encoded sensors are engineered fluorescent proteins that have been developed for a wide range of small molecules, such as ions and metabolites, or to report biophysical processes, such as transmembrane voltage or tension. First steps have been taken to monitor the activity of transporters in vivo. Advancements in imaging technologies and specimen handling and stimulation have enabled researchers in plant sciences to implement sensor technologies in intact plants. Here, we provide a brief history of the development of genetically encoded sensors and an overview of the types of sensors available for quantifying and visualizing ion and metabolite distribution and dynamics. We further discuss the pros and cons of specific sensor designs, imaging systems, and sample manipulations, provide advice on the choice of technology, and give an outlook into future developments.
Mayuri Sadoine, Mira Reger, Ka Man Wong, and Wolf B. Frommer
American Chemical Society (ACS)
Genetically encoded fluorescent sugar sensors are valuable tools for the discovery of transporters and for quantitative monitoring of sugar steady-state levels in intact tissues. Genetically encoded Förster resonance energy-transfer sensors for glucose have been designed and optimized extensively, and a full series of affinity mutants is available for in vivo studies. However, to date, only a single improved sucrose sensor FLIPsuc-90μΔ1 with Km for sucrose of ∼90 μM was available. This sucrose sensor was engineered on the basis of an Agrobacterium tumefaciens sugar-binding protein. Here, we took a two-step approach to first improve the dynamic range of the FLIPsuc sensor and then expand the detection range from micro- to millimolar sucrose concentrations by mutating a key residue in the binding site. The resulting series of sucrose sensors may enable investigation of sucrose transporter candidates and comprehensive in vivo analyses of sucrose concentration in plants. Since FLIPsuc-90μ also detects trehalose in animal cells, the new series of sensors will likely be suitable for investigating trehalose transport and monitor trehalose steady-state levels in vivo.
Reika Isoda, Akira Yoshinari, Yuuma Ishikawa, Mayuri Sadoine, Rüdiger Simon, Wolf B. Frommer, and Masayoshi Nakamura
Wiley
Summary Plant hormones play important roles in plant growth and development and physiology, and in acclimation to environmental changes. The hormone signaling networks are highly complex and interconnected. It is thus important to not only know where the hormones are produced, how they are transported and how and where they are perceived, but also to monitor their distribution quantitatively, ideally in a non‐invasive manner. Here we summarize the diverse set of tools available for quantifying and visualizing hormone distribution and dynamics. We provide an overview over the tools that are currently available, including transcriptional reporters, degradation sensors, and luciferase and fluorescent sensors, and compare the tools and their suitability for different purposes.
Mayuri Sadoine, Vanessa Castro-Rodríguez, Tobias Poloczek, Helene Javot, Erdem Sunal, Michael Wudick, and Wolf Frommer
Bio-Protocol, LLC
Genetically encoded biosensors are powerful tools for quantitative visualization of ions and metabolites in vivo. Design and optimization of such biosensors typically require analyses of large numbers of variants. Sensor properties determined in vitro such as substrate specificity, affinity, response range, dynamic range, and signal-to-noise ratio are important for evaluating in vivo data. This protocol provides a robust methodology for in vitro binding assays of newly designed sensors. Here we present a detailed protocol for purification and in vitro characterization of genetically encoded sensors, exemplified for the His affinity-tagged GO-(Green-Orange) MatryoshCaMP6s calcium sensor. GO-Matryoshka sensors are based on single-step insertion of a cassette containing two nested fluorescent proteins, circularly permutated fluorescent green FP (cpGFP) and Large Stoke Shift LSSmOrange, within the binding protein of interest, producing ratiometric sensors that exploit the analyte-triggered change in fluorescence of a cpGFP.
Mayuri Sadoine, Michele Cerminara, Michael Gerrits, Jörg Fitter, and Alexandros Katranidis
American Chemical Society (ACS)
Single-molecule FRET (smFRET) is a powerful tool to investigate conformational changes of biological molecules. In general, smFRET studies require protein samples that are site-specifically double-labeled with a pair of donor and acceptor fluorophores. The common approaches to produce such samples cannot be applied when studying the synthesis and folding of the polypeptide chain on the ribosome. The best strategy is to incorporate two fluorescent amino acids cotranslationally using cell-free protein synthesis systems. Here, we demonstrate the cotranslational site-specific incorporation into a model protein of Atto633, a dye with excellent photophysical properties, suitable for single molecule spectroscopy, together with a second dye using a combination of the sense cysteine and the nonsense amber codon. In this work we show that cotranslational incorporation of good fluorophores into proteins is a viable strategy to produce suitable samples for smFRET studies.
Mayuri Sadoine, Michele Cerminara, Noémie Kempf, Michael Gerrits, Jörg Fitter, and Alexandros Katranidis
American Chemical Society (ACS)
Förster resonance energy transfer (FRET) studies performed at the single molecule level have unique abilities to probe molecular structure, dynamics, and function of biological molecules. This technique requires specimens, like proteins, equipped with two different fluorescent probes attached at specific positions within the molecule of interest. Here, we present an approach of cell-free protein synthesis (CFPS) that provides proteins with two different functional groups for post-translational labeling at the specific amino acid positions. Besides the sulfhydryl group of a cysteine, we make use of an azido group of a p-azido-l-phenylalanine to achieve chemical orthogonality. Herein, we achieve not only a site-specific but, most importantly, also a site-selective, label scheme that permits the highest accuracy of measured data. This is demonstrated in a case study, where we synthesize human calmodulin (CaM) by using a CFPS kit and prove the structural integrity and the full functionality of this protein.
Clara Bermejo, Farzad Haerizadeh, Mayuri S. C. Sadoine, Diane Chermak, and Wolf B. Frommer
Portland Press Ltd.
Successful colonization and survival in variable environments require a competitive advantage during the initial growth phase after experiencing nutrient changes. Starved yeast cells anticipate exposure to glucose by activating the Hxt5p (hexose transporter 5) glucose transporter, which provides an advantage during early phases after glucose resupply. cAMP and glucose FRET (fluorescence resonance energy transfer) sensors were used to identify three signalling pathways that co-operate in the anticipatory Hxt5p activity in glucose-starved cells: as expected the Snf1 (sucrose nonfermenting 1) AMP kinase pathway, but, surprisingly, the sugar-dependent G-protein-coupled Gpr1 (G-protein-coupled receptor 1)/cAMP/PKA (protein kinase A) pathway and the Pho85 (phosphate metabolism 85)/Plc (phospholipase C) 6/7 pathway. Gpr1/cAMP/PKA are key elements of a G-protein-coupled sugar response pathway that produces a transient cAMP peak to induce growth-related genes. A novel function of the Gpr1/cAMP/PKA pathway was identified in glucose-starved cells: during starvation the Gpr1/cAMP/PKA pathway is required to maintain Hxt5p activity in the absence of glucose-induced cAMP spiking. During starvation, cAMP levels remain low triggering expression of HXT5, whereas cAMP spiking leads to a shift to the high capacity Hxt isoforms.