@article {67627, title = {In~vivo glucose imaging in multiple model organisms with an engineered single-wavelength sensor.}, journal = {Cell Reports}, volume = {35}, year = {2021}, month = {2021 Jun 22}, pages = {109284}, abstract = {

Glucose is arguably the most important molecule in metabolism, and its dysregulation underlies diabetes. We describe a family of single-wavelength genetically encoded glucose sensors with a high signal-to-noise ratio, fast kinetics, and affinities varying over four orders of magnitude (1\ μM to 10\ mM). The sensors allow mechanistic characterization of glucose transporters expressed in cultured cells with high spatial and temporal resolution. Imaging of neuron/glia co-cultures revealed \~{}3-fold faster glucose changes in astrocytes. In larval Drosophila central nervous system explants, intracellular neuronal glucose fluxes suggested a rostro-caudal transport pathway in the ventral nerve cord neuropil. In zebrafish, expected glucose-related physiological sequelae of insulin and epinephrine treatments were directly visualized. Additionally, spontaneous muscle twitches induced glucose uptake in muscle, and sensory and pharmacological perturbations produced large changes in the brain. These sensors will enable rapid, high-resolution imaging of glucose influx, efflux, and metabolism in behaving animals.

}, issn = {2211-1247}, doi = {10.1016/j.celrep.2021.109284}, author = {Keller, Jacob P and Marvin, Jonathan S and Lacin, Haluk and Lemon, William C and Shea, Jamien and Kim, Soomin and Lee, Richard T and Koyama, Minoru and Keller, Philipp J and Looger, Loren L} } @article {65902, title = {Directed Evolution of a Selective and Sensitive Serotonin Sensor via Machine Learning.}, journal = {Cell}, volume = {183}, year = {2020}, month = {2020 Dec 23}, pages = {1986-2002.e26}, abstract = {

Serotonin plays a central role in cognition and is the target of most pharmaceuticals for psychiatric disorders. Existing drugs have limited efficacy; creation of improved versions will require better understanding of serotonergic circuitry, which has been hampered by our inability to monitor serotonin release and transport with high spatial and temporal resolution. We developed and applied a binding-pocket redesign strategy, guided by machine learning, to create a high-performance, soluble, fluorescent serotonin sensor (iSeroSnFR), enabling optical detection of millisecond-scale serotonin transients. We demonstrate that iSeroSnFR can be used to detect serotonin release in freely behaving mice during fear conditioning, social interaction, and sleep/wake transitions. We also developed a robust assay of serotonin transporter function and modulation by drugs. We expect that both machine-learning-guided binding-pocket redesign and iSeroSnFR will have broad utility for the development of other sensors and in\ vitro and in\ vivo serotonin detection, respectively.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2020.11.040}, author = {Unger, Elizabeth K and Keller, Jacob P and Altermatt, Michael and Liang, Ruqiang and Matsui, Aya and Dong, Chunyang and Hon, Olivia J and Yao, Zi and Sun, Junqing and Banala, Samba and Flanigan, Meghan E and Jaffe, David A and Hartanto, Samantha and Carlen, Jane and Mizuno, Grace O and Borden, Phillip M and Shivange, Amol V and Cameron, Lindsay P and Sinning, Steffen and Underhill, Suzanne M and Olson, David E and Amara, Susan G and Temple Lang, Duncan and Rudnick, Gary and Marvin, Jonathan S and Lavis, Luke D and Lester, Henry A and Alvarez, Veronica A and Fisher, Andrew J and Prescher, Jennifer A and Kash, Thomas L and Yarov-Yarovoy, Vladimir and Gradinaru, Viviana and Looger, Loren L and Tian, Lin} } @article {64866, title = {In vivo glucose imaging in multiple model organisms with an engineered single-wavelength sensor.}, journal = {bioRxiv}, year = {2019}, month = {2019 Mar 8}, abstract = {Glucose is arguably the most important molecule in metabolism, and its mismanagement underlies diseases of vast societal import, most notably diabetes. Although glucose-related metabolism has been the subject of intense study for over a century, tools to track glucose in living organisms with high spatio-temporal resolution are lacking. We describe the engineering of a family of genetically encoded glucose sensors with high signal-to-noise ratio, fast kinetics and affinities varying over four orders of magnitude (1 {\textmu}M to 10 mM). The sensors allow rigorous mechanistic characterization of glucose transporters expressed in cultured cells with high spatial and temporal resolution. Imaging of neuron/glia co-cultures revealed \~{}3-fold higher glucose changes in astrocytes versus neurons. In larval Drosophila central nervous system explants, imaging of intracellular neuronal glucose suggested a novel rostro-caudal transport pathway in the ventral nerve cord neuropil, with paradoxically slower uptake into the peripheral cell bodies and brain lobes. In living zebrafish, expected glucose-related physiological sequelae of insulin and epinephrine treatments were directly visualized in real time. Additionally, spontaneous muscle twitches induced glucose uptake in muscle, and sensory- and pharmacological perturbations gave rise to large but enigmatic changes in the brain. These sensors will enable myriad experiments, most notably rapid, high-resolution imaging of glucose influx, efflux, and metabolism in behaving animals.}, doi = {10.1101/571422}, author = {Keller, Jacob P and Marvin, Jonathan S and Lacin, Haluk and Lemon, William C and Shea, Jamien and Kim, Soomin and Lee, Richard T and Koyama, Minoru and Keller, Philipp J and Looger, Loren L} } @article {64935, title = {Quantitative in vivo imaging of neuronal glucose concentrations with a genetically encoded fluorescence lifetime sensor.}, journal = {Journal of Neuroscience Research}, volume = {97}, year = {2019}, month = {2019 Aug 01}, pages = {946-60}, abstract = {

Glucose is an essential source of energy for the brain. Recently, the development of genetically encoded fluorescent biosensors has allowed real time visualization of glucose dynamics from individual neurons and astrocytes. A major difficulty for this approach, even for ratiometric sensors, is the lack of a practical method to convert such measurements into actual concentrations in ex vivo brain tissue or in vivo. Fluorescence lifetime imaging provides a strategy to overcome this. In a previous study, we reported the lifetime glucose sensor iGlucoSnFR-TS (then called SweetieTS) for monitoring changes in neuronal glucose levels in response to stimulation. This genetically encoded sensor was generated by combining the Thermus thermophilus glucose-binding protein with a circularly permuted variant of the monomeric fluorescent protein T-Sapphire. Here, we provide more details on iGlucoSnFR-TS design and characterization, as well as pH and temperature sensitivities. For accurate estimation of glucose concentrations, the sensor must be calibrated at the same temperature as the experiments. We find that when the extracellular glucose concentration is in the range 2-10\ mM, the intracellular glucose concentration in hippocampal neurons from acute brain slices is ~20\% of the nominal external glucose concentration (~0.4-2\ mM). We also measured the cytosolic neuronal glucose concentration in vivo, finding a range of ~0.7-2.5\ mM in cortical neurons from awake mice.

}, issn = {1097-4547}, doi = {10.1002/jnr.24433}, author = {D{\'\i}az-Garc{\'\i}a, Carlos Manlio and Lahmann, Carolina and Mart{\'\i}nez-Fran{\c c}ois, Juan Ram{\'o}n and Li, Binsen and Koveal, Dorothy and Nathwani, Nidhi and Rahman, Mahia and Keller, Jacob P and Marvin, Jonathan S and Looger, Loren L and Yellen, Gary} } @article {47936, title = {The Oscillating Stimulus Transporter Assay, OSTA: Quantitative functional imaging of transporter protein activity in time and frequency domains.}, journal = {Molecular Cell}, volume = {64}, year = {2016}, month = {2016 Oct 6}, pages = {199-212}, abstract = {

Transmembrane transporter proteins allow the passage of essentially all biologically important molecules across the lipid membranes of cells and organelles and are therefore of central importance to all forms of life. Current methods of transporter measurement, however, are lacking in several dimensions. Herein, a method is presented in which oscillating stimuli are presented to transporter-expressing cells, and activity is measured through imaging the corresponding oscillating responses of intracellular fluorescent sensors. This approach yields continuous temporal readouts of transporter activity and can therefore be used to measure time-dependent responses to drugs and other stimuli. Because of the periodic nature of the response, temporal Fourier transforms can be used to identify and quantify regions of interest in the xy plane and to overcome noise. This technique, called the Oscillating Stimulus Transporter Assay (OSTA), should greatly facilitate both functional characterization of transporters as well as high-throughput screening of drugs for transporters of particular pathophysiological interest.

}, issn = {1097-4164}, doi = {10.1016/j.molcel.2016.09.001}, author = {Keller, Jacob P and Looger, Loren L} }