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Fast and sensitive GCaMP calcium indicators for imaging neural populations

Authors :
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
Publication Year :
2021
Publisher :
Research Square Platform LLC, 2021.

Abstract

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.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........26b85ade8988fc48fc1939f95d2d4683
Full Text :
https://doi.org/10.21203/rs.3.rs-1061816/v1