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A "Smart" ¹²⁸Xe NMR Biosensor for pH-Dependent Cell Labeling.
Brittany A Riggle1, Yanfei Wang1, Ivan J Dmochowski1
1Department of Chemistry, University of Pennsylvania, 231 South 34th Street, Philadelphia, Pennsylvania 19104-6323, United States.
Journal of the American Chemical Society
|April 8, 2015
Summary
We developed a smart xenon-129 NMR biosensor using a peptide-cryptophane complex. This biosensor detects acidic environments by changing its structure, enabling pH-dependent cell labeling for potential cancer diagnosis.
Area of Science:
- Biophysical Chemistry
- Chemical Biology
- Nuclear Magnetic Resonance (NMR) Spectroscopy
Background:
- Peptide conformational changes are crucial for biological function.
- Developing sensitive probes for acidic environments is important for biological and medical applications.
- Xenon-129 NMR offers unique properties for molecular imaging and sensing.
Purpose of the Study:
- To create a "smart" xenon-129 NMR biosensor.
- To utilize peptide conformational changes for pH-dependent cell labeling.
- To explore the application of this biosensor in acidic environments and for cancer diagnosis.
Main Methods:
- Conjugation of a 30mer EALA-repeat peptide to a cryptophane host molecule.
- Characterization of pH-dependent peptide conformation (α-helical at pH 5.5, disordered at pH 7.5).
- Measurement of xenon-129 NMR chemical shifts and hyper-polarized chemical exchange saturation transfer (hyper-CEST) NMR.
Main Results:
- The xenon-129 NMR chemical shift showed a strong pH dependence (Δδ = 3.4 ppm).
- Peptidocryptophane detection limits were as low as 10(-11) M, significantly lower than other NMR pH reporters.
- Peptide-cell membrane insertion at pH 5.5 induced a substantial 13.4 ppm downfield shift in the cryptophane-(129)Xe NMR signal.
Conclusions:
- The developed xenon-129 NMR biosensor effectively detects pH changes through peptide conformational transitions.
- This technology enables ultrasensitive probing of peptide structure and function.
- Potential applications include pH-dependent cell labeling for cancer diagnosis and treatment monitoring.
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