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Fast and sensitive GCaMP calcium indicators for imaging neural populations

📅 March 15, 2023 👤 Yan Zhang, Márton Rózsa, Yajie Liang et al. 📖 Nature 📊 807 citations

🤖 Plain-English Summary

Abstract Calcium imaging with protein-based indicators 1,2 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. 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 sens...

🔑 Key Findings

  • Here we used large-scale screening and structure-guided mutagenesis to develop and optimize several fast and sensitive GCaMP-type indicators 3–8 .
  • 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.

💡 Why This Matters

This work deepens our understanding of the fundamental laws governing the universe, from subatomic particles to cosmic structures.

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📋 Article Details

Category ⚛️ Physics & Space Science
Published Mar 15, 2023
Journal Nature
Authors Yan Zhang, Márton Rózsa, Yajie Liang, Daniel Bushey, Ziqiang Wei
DOI 10.1038/s41586-023-05828-9
Citations 807
Source OpenAlex

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