@article {68665, title = {Fast and sensitive GCaMP calcium indicators for imaging neural populations.}, journal = {Nature}, year = {2023}, month = {2023 Mar 15}, abstract = {

Calcium imaging with protein-based indicators is widely used to follow neural activity in intact nervous systems, but current protein sensors report neural activity at timescales much slower than electrical signalling and are limited by trade-offs between sensitivity and kinetics. Here we used large-scale screening and structure-guided mutagenesis to develop and optimize several fast and sensitive GCaMP-type indicators. The resulting {\textquoteright}jGCaMP8{\textquoteright} sensors, based on the calcium-binding protein calmodulin and a fragment of endothelial nitric oxide synthase, have ultra-fast kinetics (half-rise times of 2 ms) and the highest sensitivity for neural activity reported for a protein-based calcium sensor. jGCaMP8 sensors will allow tracking of large populations of neurons on timescales relevant to neural computation.

}, issn = {1476-4687}, doi = {10.1038/s41586-023-05828-9}, author = {Zhang, Yan and Rozsa, Marton and Liang, Yajie and Bushey, Daniel and Wei, Ziqiang and Zheng, Jihong and Reep, Daniel and Broussard, Gerard Joey and Tsang, Arthur and Tsegaye, Getahun and Narayan, Sujatha and Obara, Christopher J and Lim, Jing-Xuan and Patel, Ronak and Zhang, Rongwei and Ahrens, Misha B and Turner, Glenn C and Wang, Samuel S-H and Korff, Wyatt L and Schreiter, Eric R and Svoboda, Karel and Hasseman, Jeremy P and Kolb, Ilya and Looger, Loren L} } @article {68772, title = {Glutamate indicators with improved activation kinetics and localization for imaging synaptic transmission.}, journal = {Nature Methods}, volume = {20}, year = {2023}, month = {2023 Jun 01}, abstract = {

The fluorescent glutamate indicator iGluSnFR enables imaging of neurotransmission with genetic and molecular specificity. However, existing iGluSnFR variants exhibit low in vivo signal-to-noise ratios, saturating activation kinetics and exclusion from postsynaptic densities. Using a multiassay screen in bacteria, soluble protein and cultured neurons, we generated variants with improved signal-to-noise ratios and kinetics. We developed surface display constructs that improve iGluSnFR{\textquoteright}s nanoscopic localization to postsynapses. The resulting indicator iGluSnFR3 exhibits rapid nonsaturating activation kinetics and reports synaptic glutamate release with decreased saturation and increased specificity versus extrasynaptic signals in cultured neurons. Simultaneous imaging and electrophysiology at individual boutons in mouse visual cortex showed that iGluSnFR3 transients report single action potentials with high specificity. In vibrissal sensory cortex layer 4, we used iGluSnFR3 to characterize distinct patterns of touch-evoked feedforward input from thalamocortical boutons and both feedforward and recurrent input onto L4 cortical neuron dendritic spines.

}, issn = {1548-7105}, doi = {10.1038/s41592-023-01863-6}, author = {Aggarwal, Abhi and Liu, Rui and Chen, Yang and Ralowicz, Amelia J and Bergerson, Samuel J and Tomaska, Filip and Mohar, Boaz and Hanson, Timothy L and Hasseman, Jeremy P and Reep, Daniel and Tsegaye, Getahun and Yao, Pantong and Ji, Xiang and Kloos, Marinus and Walpita, Deepika and Patel, Ronak and Mohr, Manuel A and Tillberg, Paul W and Looger, Loren L and Marvin, Jonathan S and Hoppa, Michael B and Konnerth, Arthur and Kleinfeld, David and Schreiter, Eric R and Podgorski, Kaspar} } @article {64986, title = {High-performance calcium sensors for imaging activity in neuronal populations and microcompartments.}, journal = {Nature Methods}, volume = {16}, year = {2019}, month = {2019 Jun 17}, pages = {649-57}, abstract = {

Calcium imaging with genetically encoded calcium indicators (GECIs) is routinely used to measure neural activity in intact nervous systems. GECIs are frequently used in one of two different modes: to track activity in large populations of neuronal cell bodies, or to follow dynamics in subcellular compartments such as axons, dendrites and individual synaptic compartments. Despite major advances, calcium imaging is still limited by the biophysical properties of existing GECIs, including affinity, signal-to-noise ratio, rise and decay kinetics and dynamic range. Using structure-guided mutagenesis and neuron-based screening, we optimized the green fluorescent protein-based GECI GCaMP6 for different modes of in vivo imaging. The resulting jGCaMP7 sensors provide improved detection of individual spikes (jGCaMP7s,f), imaging in neurites and neuropil (jGCaMP7b), and may allow tracking larger populations of neurons using two-photon (jGCaMP7s,f) or wide-field (jGCaMP7c) imaging.

}, issn = {1548-7105}, doi = {10.1038/s41592-019-0435-6}, author = {Dana, Hod and Sun, Yi and Mohar, Boaz and Hulse, Brad K and Kerlin, Aaron M and Hasseman, Jeremy P and Tsegaye, Getahun and Tsang, Arthur and Wong, Allan and Patel, Ronak and Macklin, John J and Chen, Yang and Konnerth, Arthur and Jayaraman, Vivek and Looger, Loren L and Schreiter, Eric R and Svoboda, Karel and Kim, Douglas S} } @article {49813, title = {High-performance GFP-based calcium indicators for imaging activity in neuronal populations and microcompartments.}, journal = {bioRxiv}, year = {2018}, month = {2018 Oct 3}, abstract = {

Calcium imaging with genetically encoded calcium indicators (GECIs) is routinely used to measure neural activity in intact nervous systems. GECIs are frequently used in one of two different modes: to track activity in large populations of neuronal cell bodies, or to follow dynamics in subcellular compartments such as axons, dendrites and individual synaptic compartments. Despite major advances, calcium imaging is still limited by the biophysical properties of existing GECIs, including affinity, signal-to-noise ratio, rise and decay kinetics, and dynamic range. Using structure-guided mutagenesis and neuron-based screening, we optimized the green fluorescent protein-based GECI GCaMP6 for different modes of in vivo imaging. The jGCaMP7 sensors provide improved detection of individual spikes (jGCaMP7s,f), imaging in neurites and neuropil (jGCaMP7b), and tracking large populations of neurons using 2-photon (jGCaMP7s,f) or wide-field (jGCaMP7c) imaging.

}, doi = {10.1101/434589}, author = {Dana, Hod and Sun, Yi and Mohar, Boaz and Hulse, Brad and Hasseman, Jeremy P and Tsegaye, Getahun and Tsang, Arthur and Wong, Allan and Patel, Ronak and Macklin, John J and Chen, Yang and Konnerth, Arthur and Jayaraman, Vivek and Looger, Loren L and Schreiter, Eric R and Svoboda, Karel and Kim, Douglas S} } @article {47396, title = {Sensitive red protein calcium indicators for imaging neural activity.}, journal = {eLife}, volume = {5}, year = {2016}, month = {2016 Mar 24}, abstract = {

Genetically encoded calcium indicators (GECIs) allow measurement of activity in large populations of neurons and in small neuronal compartments, over times of milliseconds to months. Although GFP-based GECIs are widely used for in vivo neurophysiology, GECIs with red-shifted excitation and emission spectra have advantages for in vivo imaging because of reduced scattering and absorption in tissue, and a consequent reduction in phototoxicity. However, current red GECIs are inferior to the state-of-the-art GFP-based GCaMP6 indicators for detecting and quantifying neural activity. Here we present improved red GECIs based on mRuby (jRCaMP1a, b) and mApple (jRGECO1a), with sensitivity comparable to GCaMP6. We characterized the performance of the new red GECIs in cultured neurons and in mouse, Drosophila, zebrafish and C. elegans in vivo. Red GECIs facilitate deep-tissue imaging, dual-color imaging together with GFP-based reporters, and the use of optogenetics in combination with calcium imaging.

}, issn = {2050-084X}, doi = {10.7554/eLife.12727}, author = {Dana, Hod and Mohar, Boaz and Sun, Yi and Narayan, Sujatha and Gordus, Andrew and Hasseman, Jeremy P and Tsegaye, Getahun and Holt, Graham T and Hu, Amy and Walpita, Deepika and Patel, Ronak and Macklin, John J and Bargmann, Cornelia I and Ahrens, Misha B and Schreiter, Eric R and Jayaraman, Vivek and Looger, Loren L and Svoboda, Karel and Kim, Douglas S} } @article {6579, title = {A neuron-based screening platform for optimizing genetically-encoded calcium indicators.}, journal = {PLoS One}, volume = {8}, year = {2013}, month = {2013}, pages = {e77728}, abstract = {

Fluorescent protein-based sensors for detecting neuronal activity have been developed largely based on non-neuronal screening systems. However, the dynamics of neuronal state variables (e.g., voltage, calcium, etc.) are typically very rapid compared to those of non-excitable cells. We developed an electrical stimulation and fluorescence imaging platform based on dissociated rat primary neuronal cultures. We describe its use in testing genetically-encoded calcium indicators (GECIs). Efficient neuronal GECI expression was achieved using lentiviruses containing a neuronal-selective gene promoter. Action potentials (APs) and thus neuronal calcium levels were quantitatively controlled by electrical field stimulation, and fluorescence images were recorded. Images were segmented to extract fluorescence signals corresponding to individual GECI-expressing neurons, which improved sensitivity over full-field measurements. We demonstrate the superiority of screening GECIs in neurons compared with solution measurements. Neuronal screening was useful for efficient identification of variants with both improved response kinetics and high signal amplitudes. This platform can be used to screen many types of sensors with cellular resolution under realistic conditions where neuronal state variables are in relevant ranges with respect to timing and amplitude.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0077728}, author = {Wardill, Trevor J. and Chen, Tsai-Wen and Schreiter, Eric R and Hasseman, Jeremy P and Tsegaye, Getahun and Fosque, Benjamin F and Behnam, Reza and Shields, Brenda C and Ramirez, Melissa and Kimmel, Bruce E and Kerr, Rex A and Jayaraman, Vivek and Looger, Loren L and Svoboda, Karel and Kim, Douglas S.} }