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2 Janelia Publications

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    07/10/20 | A general approach to engineer positive-going eFRET voltage indicators
    Abdelfattah AS, Valenti R, Zheng J, Wong A, Podgorski K, Koyama M, Kim DS, Schreiter ER, Project Team GENIE
    Nature Communications. 2020 Jul 10;11(1):

    We engineered electrochromic fluorescence resonance energy transfer (eFRET) genetically encoded voltage indicators (GEVIs) with “positive-going” fluorescence response to membrane depolarization through rational manipulation of the native proton transport pathway in microbial rhodopsins. We transformed the state-of-the-art eFRET GEVI Voltron into Positron, with kinetics and sensitivity equivalent to Voltron but flipped fluorescence signal polarity. We further applied this general approach to GEVIs containing different voltage sensitive rhodopsin domains and various fluorescent dye and fluorescent protein reporters.

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    07/08/20 | Bright and high-performance genetically encoded Ca indicator based on mNeonGreen fluorescent protein.
    Zarowny L, Aggarwal A, Rutten VM, Kolb I, GENIE Project , Patel R, Huang H, Chang Y, Phan T, Kanyo R, Ahrens MB, Allison WT, Podgorski K, Campbell RE
    ACS Sensors. 2020 Jul 08:. doi: 10.1021/acssensors.0c00279

    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.

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