Nearly all molecular dynamics simulations of bacterial membranes simplify the lipid bilayer by composing it of only one or two lipids. Previous attempts of developing a model E. coli membrane have used only 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoethanolamine (POPE) and (1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoglycerol) POPG lipids. However, an important constituent of bacterial membranes are lipids containing a cyclopropane ring within the acyl chain. We have developed a complex membrane that more accurately reflects the diverse population of lipids within E. coli cytoplasmic membranes, including lipids with a cyclic moiety. Differences between the deuterium order profile of cyclic lipids and monounsaturated lipids are observed. Furthermore, the inclusion of the cyclopropane ring decreases the surface density of the bilayer and produces a more rigid membrane as compared to POPE/POPG membranes. Additionally, the diverse acyl chain length creates a thinner bilayer which matches the hydrophobic thickness of E. coli transmembrane proteins better than the POPE/POPG bilayer. We believe that the complex lipid bilayer more accurately describes a bacterial membrane and suggest the use of it in molecular dynamic simulations rather than simple POPE/POPG membranes.

While nucleic acid amplification tests have great potential as tools for rapid diagnostics, complicated sample preparation requirements inhibit their use in near-patient diagnostics and low-resource-setting applications. Recent advancements in nucleic acid purification have leveraged pH-modulated charge switching polymers to reduce the number of steps required for sample preparation. The polycation chitosan (pKa 6.4) has been used to efficiently purify DNA by binding nucleic acids in acidic buffers and then eluting them at a pH higher than 8.0. Though it is an improvement over conventional methods, this multistep procedure has not transformed the application of nucleic acid amplification assays. Here we describe a simpler approach using magnetic chitosan microparticles that interact with DNA in a manner that has not been reported before. The microparticles capture DNA at a pH optimal for PCR (8.5) just as efficiently as at low pH. Importantly, the captured DNA is still accessible by polymerase, enabling direct amplification from the microparticles. We demonstrate quantitative PCR from DNA captured on the microparticles, thus eliminating nearly all of the sample preparation steps. We anticipate that this new streamlined method for preparing DNA for amplification will greatly expand the diagnostic applications of nucleic acid amplification tests.

In this work, we introduce a method for the soft-lithography-based fabrication of rigid microstructures and a new, simple bonding technique for use as a continuousflow cell lysis device. While on-chip cell lysis techniques have been reported previously, these techniques generally require a long on-chip residence time, and thus cannot be performed in a rapid, continuous-flow manner. Microstructured microfluidic devices can perform mechanical lysis of cells, enabling continuous-flow lysis; however, rigid silicon-based devices require complex and expensive fabrication of each device, while polydimethylsiloxane (PMDS), the most common material used for soft lithography fabrication, is not rigid and expands under the pressures required, resulting in poor lysis performance. Here, we demonstrate the fabrication of microfluidic microstructures from off-stoichiometry thiol-ene (OSTE) polymer using soft-lithography replica molding combined with a post-assembly cure for easy bonding. With finite element simulations, we show that the rigid microstructures generate an energy dissipation rate of nearly 10 7 , which is sufficient for continuous-flow cell lysis. Correspondingly, with the OSTE device we achieve lysis of highly deformable MDA-MB-231 breast cancer cells at a rate of 85%, while a comparable PDMS device leads to a lysis rate of only 40%. V C 2014 AIP Publishing LLC.

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Storage of large molecular dynamics (MD) simulation measurements in standard databases is a challenging task. The requirements on disk space, input/output (I/O) and data transfer bandwidth are excessively high due to the large volume, possibly terabytes or petabytes, of data generated. Storage of data in compressed form has been a popular approach to address such issues. In this paper, we present a lossy compression framework that yields significant performance gain by combining the strength of the principal component analysis (PCA) and discrete cosine transform (DCT).