iGABASnFR2 is an improved genetically encoded protein sensor of GABA
Year: 2025
Type: article
Abstract: Monitoring GABAergic inhibition in the nervous system has been enabled by the 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 4.1-fold improved sensitivity and 30% faster rise time, 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 when compared directly to the original sensor. iGABASnFR2 enabled the first measurements of direction-selective GABA release in the retina. In vivo imaging in somatosensory cortex revealed that iGABASnFR2 can report volume-transmitted GABA release following whisker stimulation. Overall, the improved sensitivity and kinetics of iGABASnFR2 make it a more effective tool for imaging GABAergic transmission in intact neural circuits.
Source: eLife
Authors: Ilya Kolb, Jeremy P. Hasseman, Akihiro Matsumoto, Thomas P. Jensen, Olga Kopach, Benjamin J. Arthur, Yan Zhang, Arthur Tsang, Daniel Reep, Getahun Tsegaye, Jihong Zheng, Ronak H. Patel, Loren L. Looger, Jonathan S. Marvin, Wyatt L. Korff, Dmitri A. Rusakov, Keisuke Yonehara, GENIE Project Team, Glenn C. Turner
Institutions: Howard Hughes Medical Institute, Janelia Research Campus, National Institute of Genetics, The Graduate University for Advanced Studies, SOKENDAI, UCL Queen Square Institute of Neurology, University College London, City St George's, University of London, University of California San Diego
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,500
Awards: Targeting Kir4.1 To Control Brain Excitability And Seizures, 軸索末端シナプス特異的な視覚情報処理の発達メカニズム, G2242984383, G3866098259, 記憶メカニズムの多次元解析 - nmからメゾスケール/ミリ秒から日スケールまで, Inhibitory brain dynamics for adaptive behaviour, G6394675763, G7233767959, Memory trace formation at and beyond individual synapses in the intact brain, Akihiro Matsumoto
OpenAlex ID: W4408881734
