@article {70093, title = {iGABASnFR2: Improved genetically encoded protein sensors of GABA}, journal = {eLife}, year = {2025}, month = {2025 Sept 03}, 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 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.

}, doi = {10.7554/elife.108319.1}, url = {http://dx.doi.org/10.7554/eLife.108319.1}, author = {Kolb, Ilya and Hasseman, Jeremy P and Matsumoto, Akihiro and Jensen, Thomas P and Kopach, Olga and Arthur, Benjamin J and Zhang, Yan and Tsang, Arthur and Reep, Daniel and Tsegaye, Getahun and Zheng, Jihong and Patel, Ronak H and Looger, Loren L and Marvin, Jonathan S and Korff, Wyatt L and Rusakov, Dmitri A and Yonehara, Keisuke and Turner, Glenn C} } @article {64841, title = {Neural evolution of context-dependent fly song.}, journal = {Current Biology : CB}, volume = {29}, year = {2019}, month = {2019 Mar 08}, pages = {1089-99}, abstract = {

It is unclear where in the nervous system evolutionary changes tend to occur. To localize the source of neural evolution that has generated divergent behaviors, we developed a new approach to label and functionally manipulate homologous neurons across Drosophila species. We examined homologous descending neurons that drive courtship song in two species that sing divergent song types and localized relevant evolutionary changes in circuit function downstream of the intrinsic physiology of these descending neurons. This evolutionary change causes different species to produce divergent motor patterns in similar social contexts. Artificial stimulation of these descending neurons drives multiple song types, suggesting that multifunctional properties of song circuits may facilitate rapid evolution of song types.

}, issn = {1879-0445}, doi = {10.1016/j.cub.2019.02.019}, author = {Ding, Yun and Lillvis, Joshua L and Cande, Jessica and Berman, Gordon J and Arthur, Benjamin J and Long, Xi and Xu, Min and Dickson, Barry J and Stern, David L} } @article {6090, title = {Multi-channel acoustic recording and automated analysis of Drosophila courtship songs.}, journal = {BMC Biology}, volume = {11}, year = {2013}, month = {2013 Jan 31}, pages = {11}, abstract = {

Drosophila melanogaster has served as a powerful model system for genetic studies of courtship songs. To accelerate research on the genetic and neural mechanisms underlying courtship song, we have developed a sensitive recording system to simultaneously capture the acoustic signals from 32 separate pairs of courting flies as well as software for automated segmentation of songs.

}, keywords = {Animal, Animal Communication, Animals, Drosophila melanogaster, Genetic Variation, Sexual Behavior, Videotape Recording}, issn = {1741-7007}, doi = {10.1186/1741-7007-11-11}, author = {Arthur, Benjamin J and Sunayama-Morita, Tomoko and Coen, Philip and Murthy, Mala and Stern, David L} }