Summary of ssbd-repos-000476

SSBD:database
URL

Name
ssbd-repos-000476 (476-Matsuda-GreenRedFRET)
URL
DOI
-

Title
Calcium imaging of HeLa cells in response to histamine using improved Green-Red FRET sensors
Description

To monitor the calcium dynamics in cells, various genetically encoded calcium indicators (GECIs) based on FRET between fluorescent proteins are widely used for live imaging. Conventionally, cyan and yellow fluorescent proteins have been often used as FRET pairs. Meanwhile, bathochromically shifted indicators with green and red fluorescent protein pairs have various advantages, such as low toxicity and autofluorescence in cells. However, it remains difficult to develop them with a similar level of dynamic range as cyan and yellow fluorescent protein pairs. To improve this, we used Gamillus, which has a unique trans-configuration chromophore, as a green fluorescent protein. Based on one of the best high-dynamic-range GECIs, Twitch-NR, the authors developed a GECI with 1.5-times higher dynamic range, Twitch-GmRR, using RRvT as a red fluorescent protein. Twitch-GmRR had high brightness and photostability and was successfully applied for imaging the calcium dynamics in live cells. Our results suggest that Gamillus with trans-type chromophores contributes to improving the dynamic range of GECIs. Therefore, selection of the cis-trans isomer of the chromophore may be a fundamental approach to improve the dynamic range of green-red FRET indicators, unlimited by GECIs.

Submited Date
-
Release Date
2026-06-09
Updated Date
-
License
Funding information
-
File formats
Data size
610.6 MB

Organism
Homo sapiens
Strain
-
Cell Line
HeLa Cell
Genes
NA
Proteins
NA

GO Molecular Function (MF)
-
GO Biological Process (BP)
response to histamine calcium ion import into cytosol
GO Cellular Component (CC)
cytosol
Study Type
NA
Imaging Methods
spinning disk confocal microscopy

Method Summary
-
Related paper(s)

Contact(s)
Tomoki Matsuda, Takeharu Nagai
Organization(s)
Kitasato University, Osaka University , School of Science, SANKEN , School of Science, SANKEN
Image Data Contributors
Quantitative Data Contributors

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