Quantitative analysis of mRNA-lipid nanoparticle stability in human plasma and serum by size-exclusion chromatography coupled with dual-angle light scattering.

Understanding the stability of mRNA loaded lipid nanoparticles (mRNA-LNPs) is imperative for their clinical development. Herein, we propose the use of size-exclusion chromatography coupled with dual-angle light scattering (SEC-MALS) as a new approach to assessing mRNA-LNP stability in pure human serum and plasma. By applying a dual-column configuration to attenuate interference from plasma components, SEC-MALS was able to elucidate the degradation kinetics and physical property changes of mRNA-LNPs, which have not been observed accurately by conventional dynamic light scattering techniques. Interestingly, both serum and plasma had significantly different impacts on the molecular weight and radius of gyration of mRNA-LNPs, suggesting the involvement of clotting factors in desorption of lipids from mRNA-LNPs. We also discovered that a trace impurity (~1 %) in ALC-0315, identified as its O-tert-butyloxycarbonyl-protected form, greatly diminished mRNA-LNP stability in serum. These results demonstrated the potential utility of SEC-MALS for optimization and quality control of LNP formulations.

Noninvasive positron emission tomography and fluorescence imaging of CD133+ tumor stem cells.

A technology that visualizes tumor stem cells with clinically relevant tracers could have a broad impact on cancer diagnosis and treatment. The AC133 epitope of CD133 currently is one of the best-characterized tumor stem cell markers for many intra- and extracranial tumor entities. Here we demonstrate the successful noninvasive detection of AC133(+) tumor stem cells by PET and near-infrared fluorescence molecular tomography in subcutaneous and orthotopic glioma xenografts using antibody-based tracers. Particularly, microPET with (64)Cu-NOTA-AC133 mAb yielded high-quality images with outstanding tumor-to-background contrast, clearly delineating subcutaneous tumor stem cell-derived xenografts from surrounding tissues. Intracerebral tumors as small as 2-3 mm also were clearly discernible, and the microPET images reflected the invasive growth pattern of orthotopic cancer stem cell-derived tumors with low density of AC133(+) cells. These data provide a basis for further preclinical and clinical use of the developed tracers for high-sensitivity and high-resolution monitoring of AC133(+) tumor stem cells.

Sclerotium rolfsii lectin exerts insecticidal activity on Spodoptera litura larvae by binding to membrane proteins of midgut epithelial cells and triggering caspase-3-dependent apoptosis.

The insect pest Spodoptera litura is considered a major threat to many economically important food and commercial crops. The present study establishes the toxic effects of Sclerotium rolfsii lectin (SRL) against S. litura larvae fed an artificial diet containing the purified lectin. The toxicity of SRL, as determined by feeding assays using different concentrations of the lectin, showed marginal effects on larval growth but a remarkable mortality rate of 68.52 ± 8.48% at the highest lectin concentration, 0.06% (600 µg/g), with an LC50 value of 430 µg/g of artificial diet. SRL is resistant to proteolysis by larval gut proteases even after 24-h incubation. Histochemical studies and western blot analyses of lectin binding revealed the interaction of the lectin with specific membrane glycoproteins on epithelial cells of the midgut. Identification of SRL-interacting midgut membrane proteins using lectin affinity chromatography and ESI-Q-TOF analysis revealed the involvement of these proteins in immunomodulatory responses in insects. Active caspase-3-like activity and DNA fragmentation observed in the midgut epithelial cells of larvae fed a lectin-containing diet supported the mechanism of apoptosis-induced death. These findings suggested that SRL can be a valuable tool in plant biotechnology for developing insect-resistant transgenic crops.

Quantification of isotope encoded proteins in 2-D gels using surface enhanced resonance Raman.

A strategy for quantification of multiple protein isoforms from a complex sample background is demonstrated, combining isotopomeric rhodamine 6G (R6G) labels and surface-enhanced Raman in polyacrylamide matrix. The procedure involves isotope-encoding by lysine-labeling with (R6G) active ester reagents, isoform separation by 2-DGE, fluorescence quantification using internal standardization to water, and silver nanoparticle deposition followed by surface-enhanced Raman detection. R6G sample encoding and standardization enabled the determination of total protein concentration and the distribution of specific isoforms using the combined detection approach of water-referenced fluorescence spectral imaging and ratiometric quantification. A detection limit of approximately 13.5 picomolar R6G-labeled protein was determined for the surface-enhanced Raman in a gel matrix (15-fold lower than fluorescence). High quantification accuracies for small differences in protein populations at low nanogram abundance were demonstrated for human GMP synthetase (hGMPS) either as purified protein samples in a single-point determination mode (3% relative standard deviation, RSD%) or as HCT116 human cancer cellular lysate in an imaging application (with 16% RSD%). These results represent a prototype for future applications of isotopic surface-enhanced resonance Raman scatter to quantification of protein distributions.

Detection and relative quantification of proteins by surface enhanced Raman using isotopic labels.

Accurate quantification of protein content and composition has been achieved using isotope-edited surface enhanced resonance Raman spectroscopy. Synthesis of isotopomeric Rhodamine dye-linked bioconjugation reagents enabled direct labeling of surface lysines on a variety of proteins. When separated in polyacrylamide gels and stained with silver nanoparticles. The spectral signatures reflect the expected statistical distribution of isotopomeric labels on the labeled proteins in the gel matrix format without interference from protein features.

Protein quantitation in 2-D gels using fluorescence with water Raman as an internal standard.

We have developed a method to enhance fluorescence quantification in two-dimensional gel electrophoresis using the inherent Raman scattering of water as an internal standard. We demonstrate this water internal standard (WIS) method using quantitative comparisons of commercially available protein standards that were either covalently tagged or passively stained with fluorescent tags. Thus, WIS opens up the possibility of enhancing intra- and intergel quantitative comparisons.