Ta-Chau Chang

A binary molecule can self-assemble to form fluorescent organic nanoparticles (FONs) based on the Aggregation-Induced Emission Enhancement (AIEE) property and subsequently, presents an efficient fluorescence resonance energy transfer (FRET) to generate singlet oxygen under linear and nonlinear light sources. Biologically, this FON-photosensitizer is much more phototoxic to cancer cells than to normal cells without significant dark toxicity. Eventually, a new approach, called FON FRET-PDT or AIEE FRET-PDT, to promote the PDT effect is expected.

G-quadruplexes are stable secondary structures formed by Hoogsteen base pairing of guanine-rich single-stranded DNA sequences in the presence of monovalent cations (Na(+) or K(+)). Folded G-quadruplex (G4) structures in human telomeres have been proposed as a potential target for cancer therapy. In this study, we used single-molecule tethered particle motion (TPM) experiments to assay the binding strength of possible G4 ligands. We found that individual single-stranded DNA molecules containing the human telomeric sequence d[AGGG(TTAGGG)3] fluctuated between the folded and the unfolded states in a 10 mM Na(+) solution at 37 °C. The durations of folded and unfolded states were single-exponentially distributed, and in return the folding and unfolding rate constants were 1.68 ± 0.01 and 1.63 ± 0.03 (s(-1)), respectively. In the presence of G4 ligands, such as TMPyP4, DODCI, BMVC, and BMVPA, the unfolding rate constant decreased appreciably. In addition, combining the Cu(2+)-induced G4 unfolding and TPM assay, we showed that BMVC and TMPyP4 are better G4 stabilizers than DODCI. The capability of monitoring the fluctuation between the folded and the unfolded state of G4 DNA in real time allows the determination of both kinetic and thermodynamic parameters in a single measurement and offers a simple way to assay binding strength under various conditions.

The accumulation of lipids in macrophages is a key factor that promotes the formation of atherosclerotic lesions. Several methods such as biochemical assays and neutral lipid staining have been used for the detection of lipids in cells. However, a method for real-time quantitative assessment of the lipid content in living macrophages has yet to be shown, particularly for its kinetic process with drugs, due to the lack of suitable tools for non-invasive chemical detection. Here we demonstrate label-free real-time monitoring of lipid droplets (LDs) in living macrophages by using coherent anti-Stokes Raman scattering (CARS) microscopy. In addition, we have established an automated image analysis method based on maximum entropy thresholding (MET) to quantify the cellular lipid content. The result of CARS image analysis shows a good correlation (R 2 > 0.9) with the measurement of biochemical assay. Using this method, we monitored the processes of lipid accumulation and hydrolysis in macrophages. We further characterized the effect of a lipid hydrolysis inhibitor (diethylumbelliferyl phosphate, DEUP) and determined the kinetic parameters such as the inhibition constant, K i. Our work demonstrates that the automated quantitative analysis method is useful for the studies of cellular lipid metabolism and has potential for preclinical high-throughput screening of therapeutic agents related to atherosclerosis and lipid-associated disorders.