| Autor: |
Arthur Tsang, Sam Wang, Jing Lim, Christopher J. Obara, Jeremy P. Hasseman, Eric R. Schreiter, Yan Zhang, Misha B. Ahrens, Ziqiang Wei, Karel Svoboda, Daniel Bushey, Gerard Joey Broussard, Ronak Patel, Wyatt Korff, Loren L. Looger, Rongwei Zhang, Yajie Liang, Márton Rózsa, Glenn C. Turner, Jihong Zheng, Getahun Tsegaye, Ilya Kolb, Sujatha Narayan, Daniel Reep |
| Rok vydání: |
2021 |
| Předmět: |
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| DOI: |
10.21203/rs.3.rs-1061816/v1 |
| Popis: |
Calcium imaging with protein-based indicators is widely used to follow neural activity in intact nervous systems. The popular GCaMP indicators are based on the calcium-binding protein calmodulin and the RS20 peptide. These sensors report neural activity at timescales much slower than electrical signaling, limited by their biophysical properties and trade-offs between sensitivity and speed. We used large-scale screening and structure-guided mutagenesis to develop and optimize several fast and sensitive GCaMP-type indicators. The resulting ‘jGCaMP8’ sensors, based on calmodulin and a fragment of endothelial nitric oxide synthase, have ultra-fast kinetics (rise times, 2 ms) and still feature the highest sensitivity for neural activity reported for any protein-based sensor. jGCaMP8 sensors will allow tracking of larger populations of neurons on timescales relevant to neural computation. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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