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ChemComm
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COMMUNICATION
Journal Name
Conflicts of interest
DOI: 10.1039/D0CC04839A
There are no conflicts to declare.
Notes and references
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Fig. 3 The metabolic imaging of Cys (400 μM) using BPC in
HeLa tumor-bearing nude mice at different time, Red channel:
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λem = 610-670 nm; and Green channel: λem =470-530 nm, λex
=
430 nm.
To further explore the application in biological aspects, we
established a mouse tumor biological model for visualizing the
Cys metabolism. The tumor areas in mice with HeLa cells, as
described in Fig. 3, displayed the weak red and green
fluorescent signals after injection BPC (20 μM). When
exogenous Cys (400 μM) was added to this tumor areas, the
fluorescence signal in red channel reached the maximum after
30 min, followed by declined over time. This phenomenon may
be due to the high level of SO2 produced through by the
enzymaticly metabolic reaction of Cys in tumor areas, resulting
in red fluorescence decreased.
In summary, we firstly synthesized an independent bi-
reversible reactions sensor BPC for precisely dynamic real-time
process visualization of Cys metabolism SO2. Based on the
special FRET mechanism, BPC can emit completely different
fluorescent signal patterns with increased or decreased red
fluorescence corresponding to Cys and SO2. Furthermore,
when coexist of both, a red-to-green signal shift occurred. It is
these superior properties that have led to the successful
application of BPC in subcellular organelle and living mice to
real-time visualizing the biological process of Cys metabolizing
SO2. We expect that probe BPC can be a dynamic monitoring
tool with medical value in preventing related diseases caused
by metabolic disorders of Cys using fluorescence technology.
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We thank the National Natural Science Foundation of China
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(No. 21775096),
Shanxi Province"1331 project" key
innovation team construction plan cultivation team (2018-CT-
1), 2018 Xiangyuan County Solid Waste Comprehensive
Utilization Science and Technology Project (2018XYSDJS-05),
the Shanxi Province Foundation for Selected (No. 2019),
Innovative Talents of Higher Education Institutions of Shanxi,
Scientific and Technological Innovation Programs of Higher
Education Institutions in Shanxi (2019L0031), Key R&D
Program of Shanxi Province (201903D421069), the Shanxi
Province Science Foundation (No. 201901D111015), China
Institute for Radiation Production and Scientific Instrument
Center of Shanxi University (201512).
13.
4 | J. Name., 2012, 00, 1-3
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