Cell-penetrating peptide and cationic liposomes mediated siRNA delivery to arrest growth of chronic myeloid leukemia cells in vitro.

Gene silencing through RNA interference (RNAi) is a promising therapeutic approach for a wide range of disorders, including cancer. Non-viral gene therapy, using specific siRNAs against BCR-ABL1, can be a supportive or alternative measure to traditional chronic myeloid leukemia (CML) tyrosine kinase inhibitor (TKIs) therapies, given the prevalence of clinical TKI resistance. The main challenge for such approaches remains the development of the effective delivery system for siRNA tailored to the specific disease model. The purpose of this study was to examine and compare the efficiency of endosomolytic cell penetrating peptide (CPP) EB1 and PEG2000-decorated cationic liposomes composed of polycationic lipid 1,26-bis(cholest-5-en-3-yloxycarbonylamino)-7,11,16,20-tetraazahexacosane tetrahydrochloride (2Ð¥3) and helper lipid 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE) for anti-bcr-abl siRNA delivery into the K562 human CML cell line. We show that both EB1 and 2Ð¥3-DOPE-DSPE-PEG2000 (0.62 % mol.) liposomes effectively deliver siRNA into K562 cells by endocytic mechanisms, and the use of liposomes leads to more effective inhibition of expression of the targeted gene (BCR-ABL1) and cancer cell proliferation. Taken together, these findings suggest that PEG-decorated cationic liposomes mediated siRNA delivery allows an effective antisense suppression of certain oncogenes, and represents a promising new class of therapies for CML.

Time-resolved burst variance analysis.

Quantifying biomolecular dynamics has become a major task of single-molecule fluorescence spectroscopy methods. In single-molecule Förster resonance energy transfer (smFRET), kinetic information is extracted from the stream of photons emitted by attached donor and acceptor fluorophores. Here, we describe a time-resolved version of burst variance analysis that can quantify kinetic rates at microsecond to millisecond timescales in smFRET experiments of diffusing molecules. Bursts are partitioned into segments with a fixed number of photons. The FRET variance is computed from these segments and compared with the variance expected from shot noise. By systematically varying the segment size, dynamics at different timescales can be captured. We provide a theoretical framework to extract kinetic rates from the decay of the FRET variance with increasing segment size. Compared to other methods such as filtered fluorescence correlation spectroscopy, recurrence analysis of single particles, and two-dimensional lifetime correlation spectroscopy, fewer photons are needed to obtain reliable timescale estimates, which reduces the required measurement time.

Perovskite Nanowire Laser for Hydrogen Chloride Gas Sensing.

Detection of hazardous volatile organic and inorganic species is a crucial task for addressing human safety in the chemical industry. Among these species, there are hydrogen halides (HX, X = Cl, Br, I) vastly exploited in numerous technological processes. Therefore, the development of a cost-effective, highly sensitive detector selective to any HX gas is of particular interest. Herein, we demonstrate the optical detection of hydrogen chloride gas with solution-processed halide perovskite nanowire lasers grown on a nanostructured alumina substrate. An anion exchange reaction between a CsPbBr3 nanowire and vaporized HCl molecules results in the formation of a structure consisting of a bromide core and thin mixed-halide CsPb(Cl,Br)3 shell. The shell has a lower refractive index than the core does. Therefore, the formation and further expansion of the shell reduce the field confinement for experimentally observed laser modes and provokes an increase in their frequency. This phenomenon is confirmed by the coherency of the data derived from XPS spectroscopy, EDX analysis, in situ XRD experiments, HRTEM images, and fluorescent microspectroscopy, as well as numerical modeling for Cl- ion diffusion and the shell-thickness-dependent spectral position of eigenmodes in a core-shell perovskite nanowire. The revealed optical response allows the detection of HCl molecules in the 5-500 ppm range. The observed spectral tunability of the perovskite nanowire lasers can be employed not only for sensing but also for their precise spectral tuning.

Minimal PK/PD model for simultaneous description of the maximal tolerated dose and metronomic treatment outcomes in mouse tumor models.

PURPOSE: Metronomic chemotherapy (MC) is a promising approach where, in contrast to the conventional maximal tolerated dose (MTD) strategy, regular fractionated doses of the drug are used. This approach has proven its efficacy, although drug dosing and scheduling are often chosen empirically. Pharmacokinetic/pharmacodynamic (PK/PD) models provide a way to choose optimal protocols with computational methods. Existing models are usually too complicated and are valid for only a subset of drug schedules. To address this issue, we propose herein a simple model that can describe MC and MTD regimens simultaneously. METHODS: The minimal model comprises tumor suppression due to antiangiogenic drug effect together with a cell-kill term, responsible for its cytotoxicity. The model was tested on data obtained on tumor-bearing mice treated with gemcitabine in ether MTD, MC, or combined (MTD + MC) regimens. RESULTS: We conducted a number of tests in which data were divided in various ways into training and validation sets. The model successfully described different trends in the MTD and MC regimens. With parameters obtained by fitting the model to MTD data, the simulations correctly predicted trends in both the MC and combined therapy groups. CONCLUSION: Our results demonstrate that the proposed model presents a minimal yet efficient tool for modeling outcomes in different treatment regimens in mice. We hope that this model has the potential for use in clinical practice in the development of patient-specific chemotherapy scheduling protocols based on observed treatment response.

Electrostatic effects in saturation of membrane binding of cationic cell-penetrating peptide.

Membrane-active peptides that demonstrate cell-penetrating, antimicrobial or cytotoxic functions are diverse in their amino acid sequences, but share common physicochemical features like short length, amphipathic conformation in membrane environment and high net charge. Nonspecific electrostatic interactions of basic peptide residues with anionic membrane lipids play a crucial role in the initial binding of such peptides to plasma membranes of bacterial and mammalian cells. At the same time, a number of membrane-active peptides functions when they are localized at high concentrations on the lipid membranes. Dissecting the role of electrostatics in this functional peptide conditions is important to understand why the majority of them bear high positive charge. We have studied interaction of EB1 cell-penetrating peptide (charge + 8) with model anionic membranes. The saturation of peptide binding to liposomes that comprises 5%, 10% and 25% of negatively charged lipids (POPC/POPG mixture) was observed. We have found that peptide recharges liposomes and its surface saturating concentration increases with the amount of anionic lipids in a membrane so as a surface charge (bound peptide plus anionic lipids). This observation may be explained with the Gouy-Chapman theory based model with addition of independent effective peptide charges for peptide-peptide and peptide-lipid interactions, as well as steric saturation term. Additionally, in certain conditions, membrane bound peptide leads to liposome aggregation. In some lipid-to-peptide ratio regions disaggregation follows that may indicate an additional slow equilibration process after fast initial peptide binding.

Linking sequence patterns and functionality of alpha-helical antimicrobial peptides.

MOTIVATION: The rational design of antimicrobial peptides (AMPs) with increased therapeutic potential requires deep understanding of the determinants of their activities. Inspired by the computational linguistic approach, we hypothesized that sequence patterns may encode the functional features of AMPs. RESULTS: We found that α-helical and ß-sheet peptides have non-intersecting pattern sets and therefore constructed new sequence templates using only helical patterns. Designed peptides adopted an α-helical conformation upon binding to lipids, confirming that the method captures structural and biophysical properties. In the antimicrobial assay, 5 of 7 designed peptides exhibited activity against Gram(+) and Gram(-) bacteria, with most potent candidate comparable to best natural peptides. We thus conclude that sequence patterns comprise the structural and functional features of α-helical AMPs and guide their efficient design. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Application of de novo sequencing tools to study abiogenic peptide formations by tandem mass spectrometry. The case of homo-peptides from glutamic acid complicated by substitutions of hydrogen by sodium or potassium atoms.

RATIONALE: Peptides and proteins are among the most important components of living systems. Different attempts have been made to experimentally model the formation of peptides from amino acid monomers in investigation of the origin of life. Detailed characterization of peptides formed under various conditions in such reactions is very important for understanding processes of abiogenic peptide formation. METHODS: We used liquid chromatography coupled with tandem mass spectrometry (MS/MS) for an accurate study of homo-peptides formed in a model reaction: glutamic acid oligomerization catalyzed by 1,1'-carbonyldiimidazole in aqueous solution with 1 M of sodium or potassium chloride and without any salts. We used de novo sequencing software for peptide identification. In addition we propose an approach that uses more spectral information for de novo sequencing then standard methods. RESULTS: Peptides up to 9 amino acids long were found in the experiments with KCl, while in experiments with NaCl and without salts only peptides of up to 7 amino acids were detected. Due to high salt concentrations in samples a high number of singly charged peptide ions with up to 4 substitutions of hydrogen atoms by sodium or potassium atoms were observed. De novo sequencing software provided correct identifications even for peptide ions with substitutions. CONCLUSIONS: Multiple substitutions of hydrogen by alkali metal atoms in peptide ions strongly change their fragmentation patterns. Proposed approach for de novo sequencing was found very effective, even for ions with substitutions. So, it may be useful in more complicated cases like sequencing abiogenic peptides consisting of different amino acids.