Fast and sensitive GCaMP calcium indicators for imaging neural populations

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

Research output: Contribution to journalArticlepeer-review

92 Scopus citations

Abstract

Calcium 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.

Original languageEnglish (US)
Pages (from-to)884-891
Number of pages8
JournalNature
Volume615
Issue number7954
DOIs
StatePublished - Mar 30 2023

All Science Journal Classification (ASJC) codes

  • General

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