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Optimized Xanthene Fluorophores Permit Dual-Color Live-Cell Imaging

Single-molecule localization microscopy (SMLM) is an important method for the high resolution 

investigation of microscopic cellular structures and processes. Traditional organic fluorophores used 

in SMLM utilize intense laser irradiation to induce fluorescence, but this can cause undesired 

photobleaching and can be cytotoxic. In this study,1 the Urano group sought to apply their developed 

xanthene-based fluorophores, HMSiR and HEtetTFER, in multi-color SMLM. The HMSiR 

fluorophore, a first-in-class spontaneously blinking fluorophore (near-infrared range, NIR), already 

possesses optimal SMLM characteristics because it does not require laser irradiation or additives to 

perform under physiological conditions.2 Conversely, HEtetTFER is a green-light emitting 

fluorophore that has been used with HMSiR to achieve dual-color SMLM in fixed cells,3 but due to 

 poor membrane permeability and unfavorable subcellular localization, HEtetTFER is not suitable 

for imaging live cells.


Building on their previous investigation of the reactivity of xanthene fluorophores with endogenous 

glutathione (GSH),4 the group developed structurally optimized SMLM-compatible fluorophores,  

SiP650 and CP550, working in the NIR and green range, respectively (Figure 1). Notably, these 

structures needed to be tuned to possess the appropriate equilibrium constants between their 

fluorescent dissociated form and their non-fluorescent GSH adduct form, and with fast blinking 

kinetics. Key parameters are shown in Table 1.





HaloTag ligands of both of these fluorophores confirmed specific protein labelling and spontaneous blinking in live cells. Using HMSiR in combination with the newly developed CP550, dual-color live-cell SMLM was achieved in mammalian and bacterial cells (Figure 3). This work is important because new fluorophores are needed with various optical properties and blinking kinetics, and this approach will minimize photodamage and image buffer optimizations that are common characteristics of similar tools.


 References

1.      1.     Morozumi, A.; Kamiya, M.; Uno, S.-N.; Umezawa, K.; Kojima, R.; Yoshihara, T.; Tobita, S.; Urano, Y. J. Am. Chem. Soc. 2020, 142 (Just accepted 4/28/2020), doi: 10.1021/jacs.0c00451

2     2.     Uno, S.; Kamiya, M.; Yoshihara, T.; Sugawara, K.; Okabe, K.; Tarhan, M. C.; Fujita, H.; Funatsu, T.; Okada, Y.; Tobita, S.; Urano, Y. Nat. Chem. 2014, 6, 681.

3     3.     Uno, S.; Kamiya, M.; Morozumi, A.; Urano, Y. Chem. Commun. 2018, 54, 102.
   4.     Umezawa, K.; Yoshida, M.; Kamiya, M.; Yamasoba, T.; Urano, Y. Nat. Chem. 2017, 9, 279.

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