|Title||Bright and High-Performance Genetically Encoded Ca Indicator Based on mNeonGreen Fluorescent Protein.|
|Publication Type||Journal Article|
|Year of Publication||2020|
|Authors||Zarowny, Landon, Abhi Aggarwal, Virginia M. S. Rutten, Ilya Kolb, Ronak Patel, Hsin-Yi Huang, Yu-Fen Chang, Tiffany Phan, Richard Kanyo, Misha B. Ahrens, Ted W Allison, Kaspar Podgorski, and Robert E. Campbell|
|Corporate Authors||GENIE Project|
|Date Published||2020 07 24|
Genetically encodable calcium ion (Ca) indicators (GECIs) based on green fluorescent proteins (GFP) are powerful tools for imaging of cell signaling and neural activity in model organisms. Following almost 2 decades of steady improvements in the GFP-based GCaMP series of GECIs, the performance of the most recent generation (i.e., jGCaMP7) may have reached its practical limit due to the inherent properties of GFP. In an effort to sustain the steady progression toward ever-improved GECIs, we undertook the development of a new GECI based on the bright monomeric GFP, mNeonGreen (mNG). The resulting indicator, mNG-GECO1, is 60% brighter than GCaMP6s in vitro and provides comparable performance as demonstrated by imaging Ca dynamics in cultured cells, primary neurons, and in vivo in larval zebrafish. These results suggest that mNG-GECO1 is a promising next-generation GECI that could inherit the mantle of GCaMP and allow the steady improvement of GECIs to continue for generations to come.
|Alternate Journal||ACS Sens|