Fast and sensitive GCaMP calcium indicators for imaging neural populations

Author:

Zhang Yan,Rózsa Márton,Liang Yajie,Bushey Daniel,Wei ZiqiangORCID,Zheng Jihong,Reep Daniel,Broussard Gerard JoeyORCID,Tsang Arthur,Tsegaye Getahun,Narayan Sujatha,Obara Christopher J.ORCID,Lim Jing-XuanORCID,Patel Ronak,Zhang Rongwei,Ahrens Misha B.ORCID,Turner Glenn C.ORCID,Wang Samuel S.-H.ORCID,Korff Wyatt L.ORCID,Schreiter Eric R.ORCID,Svoboda KarelORCID,Hasseman Jeremy P.ORCID,Kolb Ilya,Looger Loren L.ORCID

Abstract

AbstractCalcium imaging with protein-based indicators1,2 is widely used to follow neural activity in intact nervous systems, but current protein sensors report neural activity at timescales much slower than electrical signalling and are limited by trade-offs between sensitivity and kinetics. Here we used large-scale screening and structure-guided mutagenesis to develop and optimize several fast and sensitive GCaMP-type indicators3–8. The resulting ‘jGCaMP8’ sensors, based on the calcium-binding protein calmodulin and a fragment of endothelial nitric oxide synthase, have ultra-fast kinetics (half-rise times of 2 ms) and the highest sensitivity for neural activity reported for a protein-based calcium sensor. jGCaMP8 sensors will allow tracking of large populations of neurons on timescales relevant to neural computation.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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