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A genetically encoded Ca2+ indicator based on circularly permutated sea anemone red fluorescent protein eqFP578

Overview of attention for article published in BMC Biology, January 2018
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Title
A genetically encoded Ca2+ indicator based on circularly permutated sea anemone red fluorescent protein eqFP578
Published in
BMC Biology, January 2018
DOI 10.1186/s12915-018-0480-0
Pubmed ID
Authors

Yi Shen, Hod Dana, Ahmed S. Abdelfattah, Ronak Patel, Jamien Shea, Rosana S. Molina, Bijal Rawal, Vladimir Rancic, Yu-Fen Chang, Lanshi Wu, Yingche Chen, Yong Qian, Matthew D. Wiens, Nathan Hambleton, Klaus Ballanyi, Thomas E. Hughes, Mikhail Drobizhev, Douglas S. Kim, Minoru Koyama, Eric R. Schreiter, Robert E. Campbell

Abstract

Genetically encoded calcium ion (Ca2+) indicators (GECIs) are indispensable tools for measuring Ca2+ dynamics and neuronal activities in vitro and in vivo. Red fluorescent protein (RFP)-based GECIs have inherent advantages relative to green fluorescent protein-based GECIs due to the longer wavelength light used for excitation. Longer wavelength light is associated with decreased phototoxicity and deeper penetration through tissue. Red GECI can also enable multicolor visualization with blue- or cyan-excitable fluorophores. Here we report the development, structure, and validation of a new RFP-based GECI, K-GECO1, based on a circularly permutated RFP derived from the sea anemone Entacmaea quadricolor. We have characterized the performance of K-GECO1 in cultured HeLa cells, dissociated neurons, stem-cell-derived cardiomyocytes, organotypic brain slices, zebrafish spinal cord in vivo, and mouse brain in vivo. K-GECO1 is the archetype of a new lineage of GECIs based on the RFP eqFP578 scaffold. It offers high sensitivity and fast kinetics, similar or better than those of current state-of-the-art indicators, with diminished lysosomal accumulation and minimal blue-light photoactivation. Further refinements of the K-GECO1 lineage could lead to further improved variants with overall performance that exceeds that of the most highly optimized red GECIs.

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Geographical breakdown

Country Count As %
Unknown 198 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 22%
Student > Ph. D. Student 40 20%
Student > Master 22 11%
Student > Bachelor 15 8%
Student > Doctoral Student 11 6%
Other 22 11%
Unknown 45 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 55 28%
Agricultural and Biological Sciences 37 19%
Neuroscience 30 15%
Chemistry 5 3%
Medicine and Dentistry 5 3%
Other 21 11%
Unknown 45 23%