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1.
J Am Chem Soc ; 143(45): 18827-18831, 2021 11 17.
Article in English | MEDLINE | ID: covidwho-1483090

ABSTRACT

Despite the importance of rapid and accurate detection of SARS-CoV-2 in controlling the COVID-19 pandemic, current diagnostic methods are static and unable to distinguish between viable/nonviable virus or directly reflect viral replication activity. Real-time imaging of protease activity specific to SARS-CoV-2 can overcome these issues but remains lacking. Herein, we report a near-infrared fluorescence (NIRF) activatable molecular probe (SARS-CyCD) for detection of SARS-CoV-2 protease in living mice. The probe comprises a hemicyanine fluorophore caged with a protease peptide substrate and a cyclodextrin unit, which function as an NIRF signaling moiety and a renal-clearable enabler, respectively. The peptide substrate of SARS-CyCD can be specifically cleaved by SARS-CoV-2 main protease (Mpro), resulting in NIRF signal activation and liberation of the renal-clearable fluorescent fragment (CyCD). Such a design not only allows sensitive detection of Mpro in the lungs of living mice after intratracheal administration but also permits optical urinalysis of SARS-CoV-2 infection. Thus, this study presents an in vivo sensor that holds potential in preclinical high-throughput drug screening and clinical diagnostics for respiratory viral infections.


Subject(s)
COVID-19/diagnosis , Kidney/metabolism , Molecular Probes/metabolism , Optical Imaging/methods , Animals , COVID-19/virology , Fluorescent Dyes/analysis , Fluorescent Dyes/metabolism , Humans , Lung/metabolism , Mice , Molecular Probes/analysis , SARS-CoV-2/enzymology , SARS-CoV-2/isolation & purification , Spectroscopy, Near-Infrared , Urinalysis , Viral Matrix Proteins/metabolism
2.
J Am Chem Soc ; 143(14): 5413-5424, 2021 04 14.
Article in English | MEDLINE | ID: covidwho-1387160

ABSTRACT

Methods for tracking RNA inside living cells without perturbing their natural interactions and functions are critical within biology and, in particular, to facilitate studies of therapeutic RNA delivery. We present a stealth labeling approach that can efficiently, and with high fidelity, generate RNA transcripts, through enzymatic incorporation of the triphosphate of tCO, a fluorescent tricyclic cytosine analogue. We demonstrate this by incorporation of tCO in up to 100% of the natural cytosine positions of a 1.2 kb mRNA encoding for the histone H2B fused to GFP (H2B:GFP). Spectroscopic characterization of this mRNA shows that the incorporation rate of tCO is similar to cytosine, which allows for efficient labeling and controlled tuning of labeling ratios for different applications. Using live cell confocal microscopy and flow cytometry, we show that the tCO-labeled mRNA is efficiently translated into H2B:GFP inside human cells. Hence, we not only develop the use of fluorescent base analogue labeling of nucleic acids in live-cell microscopy but also, importantly, show that the resulting transcript is translated into the correct protein. Moreover, the spectral properties of our transcripts and their translation product allow for their straightforward, simultaneous visualization in live cells. Finally, we find that chemically transfected tCO-labeled RNA, unlike a state-of-the-art fluorescently labeled RNA, gives rise to expression of a similar amount of protein as its natural counterpart, hence representing a methodology for studying natural, unperturbed processing of mRNA used in RNA therapeutics and in vaccines, like the ones developed against SARS-CoV-2.


Subject(s)
Fluorescence , Fluorescent Dyes/analysis , Fluorescent Dyes/chemistry , Molecular Imaging , RNA, Messenger/analysis , RNA, Messenger/metabolism , Cell Line, Tumor , Cytosine/analogs & derivatives , Cytosine/analysis , Cytosine/chemical synthesis , Cytosine/chemistry , Fluorescent Dyes/chemical synthesis , Green Fluorescent Proteins/metabolism , Histones/metabolism , Humans , Molecular Structure , RNA, Messenger/chemistry , RNA, Messenger/therapeutic use , Spectrometry, Fluorescence , COVID-19 Drug Treatment
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