This paper presents a simple approach to create a two-tiered surface for superior cancer cell isolation. The idea is inspired by the interactions of cells with a nanotextured basement membrane. The texture mimicked the extracellular matrix and basement membrane for superior target cell adhesion. Prepared micro+nanotextured surfaces showed enhanced cell capture. Preparation of the two-tiered surface was done using micro- and nanotexturing and was easily reproducible. It has been shown before that the larger surface area of a nanotextured surface assists the cell's attachment through surface-anchored ligands. Taking it a step further, ligand functionalized two-level micro+nanotextured surfaces improved the sensitivity of the cancer cell isolation over simple flat nanotexturing. The isolation efficiency increased by 208% compared to the surface with a single-level nanotexture. The two-tiered surface was compatible with previously reported nanotextured devices used for cancer cell isolation. Micro-texture on the glass surface was created using simple sand gritting, followed by reactive ion etching (RIE) of the entire surface. The approach could create large surface areas within a short time while maintaining superior cell isolation efficiency.
Alginate is a natural polymer with inherent biocompatibility. A simple polydimethylsiloxane (PDMS) microfluidic device based self-assembled fabrication of alginate hollow microfibers is presented. The inner diameter as well as wall thickness of the microfibers were controlled effortlessly, by altering core and sheath flow rates in the microfluidic channels. The gelation/cross-linking occured while the solutions were ejected. The microfibers were generated spontaneously, extruding out of the outlet microchannel. It was observed that the outer diameter was independent of the flow rates, while the internal diameter and wall thickness of the hollow fibers were found to be functions of the core and sheath flow rates. At a constant sheath flow, with increasing core flow rates, the internal diameters increased and the wall thicknesses decreased. At a fixed core flow, when sheath flow rate increased, the internal diameters decreased and the wall thickness increased. The immobilization of enzymes in such hollow microfibers can be a potential application as microbioreactors.
Micro- and nanoscale systems have provided means to detect biological targets, such as DNA, proteins, and human cells, at ultrahigh sensitivity. However, these devices suffer from noise in the raw data, which continues to be significant as newer and devices that are more sensitive produce an increasing amount of data that needs to be analyzed. An important dimension that is often discounted in these systems is the ability to quickly process the measured data for an instant feedback. Realizing and developing algorithms for the accurate detection and classification of biological targets in realtime is vital. Toward this end, we describe a supervised machine-learning approach that records single cell events (pulses), computes useful pulse features, and classifies the future patterns into their respective types, such as cancerous/non-cancerous cells based on the training data. The approach detects cells with an accuracy of 70% from the raw data followed by an accurate classification when larger training sets are employed. The parallel implementation of the algorithm on graphics processing unit (GPU) demonstrates a speedup of three to four folds as compared to a serial implementation on an Intel Core i7 processor. This incredibly efficient GPU system is an effort to streamline the analysis of pulse data in an academic setting. This paper presents for the first time ever, a non-commercial technique using a GPU system for realtime analysis, paired with biological cluster targeting analysis.
channels have been shown to be localized to the intercalated disks along with Cx43 channels. Recent evidence of reciprocity in the co-localized expression of Kir2.1 and Nav1.5 channels in cardiac myocytes suggest that ionic currents due to these two channels are in some way calibrated to each other. In isolated cells, the fast sodium current is much larger than IK1 resulting in a large depolarization reserve. Using simulations of chains of cardiac cells, we show that the depolarization reserve for conducting action potentials is significantly smaller than in isolated cells. We also studied the changes in the depolarization reserve with variations in gap junction channel density and explored the conditions under which propagation slowed or failed. These insights will allow a better understanding of the effects of Na channel blockers as well as regional differences in action potential conduction in the heart.
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