An Eye-Shaped Ultra-Sensitive Localized Surface Plasmon Resonance–Based Biochemical Sensor

Plasmonics - This research illustrates a parametric study based on surface plasmon resonance of a slightly gold-coated photonic crystal fiber (PCF). In verifying sensing accuracy, the proposed...     

Use of polyethylenimine-adenovirus complexes to examine triplex formation in intact cells

Triplex-forming oligonucleotides (TFOs) show potential for sequence-specific DNA binding and inhibition of gene expression. We have applied this antigene strategy using a TFO incorporating an Auger-emitting radionucleotide, 125I, to study the production of double-strand breaks (dsb) in the rat aquaporin 5 (rAQP5) cDNA. 125I-TFO bound to the pCMVrAQP5 plasmid in vitro in a dose-dependent manner and formed stable triplexes up to 65 degrees C and in the presence of 140 mM KCl. Further, 125I-TFO resulted in a predictable dsb when analyzed by Southern hybridization. To deliver TFOs to epithelial cells, we employed 125I-TFO-polyethyleneimine-adenovirus (125I-TFO-PEI-Ad) complexes. We hypothesized that these complexes would take advantage of adenoviral characteristics to transfer 125I-TFO to the cell nucleus. Adenovirus-containing complexes brought about greater uptake and nuclear localization of TFOs compared with delivery with 125I-TFO-PEI complexes alone. No significant degradation of 125I-TFO was found after delivery into cells using PEI-Ad complexes and freezing and thawing. We next used PEI-Ad complexes to deliver 125I-TFO and pCMVrAQP5 separately to epithelial cells to determine if triplexes can form de novo within cells, resulting in the specific dsb in the rAQP5 cDNA. After delivery, cell pellets were stored at -80 degrees C for more than 60 days. Thereafter, plasmid DNA was isolated from cells and analyzed for dsb by Southern hybridization. However, none were detected. We conclude that under the experimental conditions employed, effective triplexes, with 125I-TFO and pCMVrAQP5, do not form de novo inside cells.     

Cohesin defects lead to premature sister chromatid separation,kinetochore dysfunction,and spindle-assembly checkpoint activation

Scc1/Mcd1 is a component of the cohesin complex that plays an essential role in sister chromatid cohesion in eukaryote cells. Knockout experiments of this gene have been described in budding yeast, fission yeast, and chicken cells, but no study has been reported on human Scc1 thus far. In this study, we found that an N-terminally truncated human Scc1 shows a dominant-negative effect, and we examined the phenotypes of human cells defective in Scc1 function. Scc1 defects led to failure of sister chromatid cohesion in both interphase and mitotic cells. Interestingly, four chromatids derived from two homologues occupied four distinct territories in the nucleus in chromosome painting experiments. In mitotic Scc1-defective cells, chromatids were disjoined with normal condensation, and the spindle-assembly checkpoint was activated. We also found that, although the disjoined kinetochore (half-kinetochore) in Scc1-defective cells contains CENP-A, -B, -C, and -E normally, it apparently does not establish the kinetochore-microtubule association. These results indicate that Scc1 is essential for the association of kinetochores with microtubules.     

DisPredict: A Predictor of Disordered Protein Using Optimized RBF Kernel

Intrinsically disordered proteins or, regions perform important biological functions through their dynamic conformations during binding. Thus accurate identification of these disordered regions have significant implications in proper annotation of function, induced fold prediction and drug design to combat critical diseases. We introduce DisPredict, a disorder predictor that employs a single support vector machine with RBF kernel and novel features for reliable characterization of protein structure. DisPredict yields effective performance. In addition to 10-fold cross validation, training and testing of DisPredict was conducted with independent test datasets. The results were consistent with both the training and test error minimal. The use of multiple data sources, makes the predictor generic. The datasets used in developing the model include disordered regions of various length which are categorized as short and long having different compositions, different types of disorder, ranging from fully to partially disordered regions as well as completely ordered regions. Through comparison with other state of the art approaches and case studies, DisPredict is found to be a useful tool with competitive performance. DisPredict is available at https://github.com/tamjidul/DisPredict_v1.0.     

Tracking Cholera through Surveillance of Oral Rehydration Solution Sales at Pharmacies: Insights from Urban Bangladesh

Background

In Bangladesh, pharmacy-purchased oral rehydration solution (ORS) is often used to treat diarrhea, including cholera. Over-the-counter sales have been used for epidemiologic surveillance in the past, but rarely, if ever, in low-income countries. With few early indicators for cholera outbreaks in endemic areas, diarrhea-related product sales may serve as a useful surveillance tool.

Methodology/Principal Findings

We tracked daily ORS sales at 50 pharmacies and drug-sellers in an urban Bangladesh community of 129,000 for 6-months while simultaneously conducting surveillance for diarrhea hospitalizations among residents. We developed a mobile phone based system to track the sales of ORS and deployed it in parallel with a paper-based system. Our objectives were to determine if the mobile phone system was practical and acceptable to pharmacists and drug sellers, whether data were reported accurately compared to a paper-based system, and whether ORS sales were associated with future incidence of cholera hospitalizations within the community. We recorded 47,215 customers purchasing ORS, and 315 hospitalized diarrhea cases, 22% of which had culture-confirmed cholera. ORS sales and diarrhea incidence were independently associated with the mean daily temperature; therefore both unadjusted and adjusted models were explored. Through unadjusted cross-correlation statistics and generalized linear models, we found increases in ORS sales were significantly associated with increases in hospitalized diarrhea cases up to 9-days later and hospitalized cholera cases up to one day later. After adjusting for mean daily temperature, ORS was significantly associated with hospitalized diarrhea two days later and hospitalized cholera one day later.

Conclusions/Significance

Pharmacy sales data may serve as a feasible and useful surveillance tool. Given the relatively short lagged correlation between ORS sales and diarrhea, rapid and accurate sales data are key. More work is needed in creating actionable algorithms that make use of this data and in understanding the generalizability of our findings to other settings.