Engineering of NEMO as calcium indicators with large dynamics and high sensitivity

  • Jia Li
  • , Ziwei Shang
  • , Jia Hui Chen
  • , Wenjia Gu
  • , Li Yao
  • , Xin Yang
  • , Xiaowen Sun
  • , Liuqing Wang
  • , Tianlu Wang
  • , Siyao Liu
  • , Jiajing Li
  • , Tingting Hou
  • , Dajun Xing
  • , Donald L. Gill
  • , Jiejie Li
  • , Shi Qiang Wang
  • , Lijuan Hou
  • , Yubin Zhou
  • , Ai Hui Tang
  • , Xiaohui Zhang
  • Youjun Wang

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

Abstract

Genetically encoded calcium indicators (GECIs) are indispensable tools for real-time monitoring of intracellular calcium signals and cellular activities in living organisms. Current GECIs face the challenge of suboptimal peak signal-to-baseline ratio (SBR) with limited resolution for reporting subtle calcium transients. We report herein the development of a suite of calcium sensors, designated NEMO, with fast kinetics and wide dynamic ranges (>100-fold). NEMO indicators report Ca2+ transients with peak SBRs around 20-fold larger than the top-of-the-range GCaMP6 series. NEMO sensors further enable the quantification of absolution calcium concentration with ratiometric or photochromic imaging. Compared with GCaMP6s, NEMOs could detect single action potentials in neurons with a peak SBR two times higher and a median peak SBR four times larger in vivo, thereby outperforming most existing state-of-the-art GECIs. Given their high sensitivity and resolution to report intracellular Ca2+ signals, NEMO sensors may find broad applications in monitoring neuronal activities and other Ca2+-modulated physiological processes in both mammals and plants.

Original languageEnglish (US)
Pages (from-to)918-924
Number of pages7
JournalNature methods
Volume20
Issue number6
DOIs
StatePublished - Jun 2023

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Biochemistry
  • Molecular Biology
  • Cell Biology

Fingerprint

Dive into the research topics of 'Engineering of NEMO as calcium indicators with large dynamics and high sensitivity'. Together they form a unique fingerprint.

Cite this