@article {69833, title = {Glutamate indicators with increased sensitivity and tailored deactivation rates}, journal = {bioRxiv}, year = {2025}, month = {2025 Mar 20}, abstract = {

Identifying the input-output operations of neurons requires measurements of synaptic transmission simultaneously at many of a neuron{\textquoteright}s thousands of inputs in the intact brain. To facilitate this goal, we engineered and screened 3365 variants of the fluorescent protein glutamate indicator iGluSnFR3 in neuron culture, and selected variants in the mouse visual cortex. Two variants have high sensitivity, fast activation (\< 2 ms) and deactivation times tailored for recording large populations of synapses (iGluSnFR4s, 153 ms) or rapid dynamics (iGluSnFR4f, 26 ms). By imaging action-potential evoked signals on axons and visually-evoked signals on dendritic spines, we show that iGluSnFR4s/4f primarily detect local synaptic glutamate with single-vesicle sensitivity. The indicators detect a wide range of naturalistic synaptic transmission, including in the vibrissal cortex layer 4 and in hippocampal CA1 dendrites. iGluSnFR4 increases the sensitivity and scale (4s) or speed (4f) of tracking information flow in neural networks in vivo.

}, doi = {10.1101/2025.03.20.643984}, url = {https://www.biorxiv.org/content/early/2025/03/24/2025.03.20.643984}, author = {Aggarwal, Abhi and Negrean, Adrian and Chen, Yang and Iyer, Rishyashring and Reep, Daniel and Liu, Anyi and Palutla, Anirudh and Xie, Michael E. and MacLennan, Bryan J. and Hagihara, Kenta M. and Kinsey, Lucas W. and Sun, Julianna L. and Yao, Pantong and Zheng, Jihong and Tsang, Arthur and Tsegaye, Getahun and Zhang, Yonghai and Patel, Ronak H. and Arthur, Benjamin J. and Hiblot, Julien and Leippe, Philipp and Tarnawski, Miroslaw and Marvin, Jonathan S. and Vevea, Jason D. and Turaga, Srinivas C. and Tebo, Alison G. and Carandini, Matteo and Rossi, L. F. and Kleinfeld, David and Konnerth, Arthur and Svoboda, Karel and Turner, Glenn C. and Hasseman, Jeremy and Podgorski, Kaspar} } @article {69831, title = {iGABASnFR2: Improved genetically encoded protein sensors of GABA}, journal = {bioRxiv}, year = {2025}, month = {2025 Mar 25}, abstract = {

Monitoring GABAergic inhibition in the nervous system has been enabled by development of an intensiometric molecular sensor that directly detects GABA. However the first generation iGABASnFR exhibits low signal-to-noise and suboptimal kinetics, making in vivo experiments challenging. To improve sensor performance, we targeted several sites in the protein for near-saturation mutagenesis, and evaluated the resulting sensor variants in a high throughput screening system using evoked synaptic release in primary cultured neurons. This identified a sensor variant, iGABASnFR2, with 4.2-fold improved sensitivity and 20\% faster kinetics, and binding affinity that remained in a range sensitive to changes in GABA concentration at synapses. We also identified sensors with an inverted response, decreasing fluorescence intensity upon GABA binding. We termed the best such negative-going sensor iGABASnFR2n, which can be used to corroborate observations with the positive-going sensor. These improvements yielded a qualitative enhancement of in vivo performance, enabling us to make the first measurements of direction selective GABA release in the retina and confirm a longstanding hypothesis for how sensitivity to motion arises in the visual system.

}, doi = {10.1101/2025.03.25.644953}, url = {https://www.biorxiv.org/content/early/2025/03/26/2025.03.25.644953}, author = {Kolb, Ilya and Hasseman, Jeremy P. and Matsumoto, Akihiro and Arthur, Benjamin J. and Zhang, Yan and Tsang, Arthur and Reep, Daniel and Tsegaye, Getahun and Zheng, Jihong and Patel, Ronak and Looger, Loren L. and Marvin, Jonathan S. and Korff, Wyatt L. and Yonehara, Keisuke and Turner, Glenn C.} } @inbook {69316, title = {Visualization of Glutamatergic Neurotransmission in Diverse Model Organisms with Genetically Encoded Indicators}, booktitle = {New Technologies for Glutamate Interaction: Neurons and Glia}, volume = {2780}, number = {Neuromethods}, year = {2024}, pages = {3{\textendash}34}, publisher = {Humana}, organization = {Humana}, address = {New York, NY}, abstract = {

Glutamate is the principal excitatory neurotransmitter, and occasionally subserves inhibitory roles, in the vertebrate nervous system. Glutamatergic synapses are dense in the vertebrate brain, at \textasciitilde1/μm3. Glutamate is released from and onto diverse components of the nervous system, including neurons, glia, and other cells. Methods for glutamate detection are critically important for understanding the function of synapses and neural circuits in normal physiology, development, and disease. Here we describe the development, optimization, and deployment of genetically encoded fluorescent glutamate indicators. We review the theoretical considerations governing glutamate sensor properties from first principles of synapse biology, microscopy, and protein structure-function relationships. We provide case studies of the state-of-the-art iGluSnFR glutamate sensor, encompassing design and optimization, mechanism of action, in vivo imaging, data analysis, and future directions. We include detailed protocols for iGluSnFR imaging in common preparations (bacteria, cell culture, and brain slices) and model organisms (worm, fly, fish, rodent).

}, isbn = {978-1-0716-3742-5}, doi = {10.1007/978-1-0716-3742-5_1}, url = {https://doi.org/10.1007/978-1-0716-3742-5_1}, author = {Aggarwal, Abhi and Chan, Joyce and Waring, Amelia K. and Negrean, Adrian and Marvin, Jonathan S. and Podgorski, Kaspar and Looger, Loren L.}, editor = {Kukley, Maria} }