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Next generation engineered tissue constructs with complex and ordered architectures aim to better mimic the native tissue structures, largely due to advances in three-dimensional (3D) bioprinting techniques. Extrusion bioprinting has drawn tremendous attention due to its widespread availability, cost-effectiveness, simplicity, and its facile and rapid processing. However, poor printing resolution and low speed have limited its fidelity and clinical implementation. To circumvent the downsides associated with extrusion printing, microfluidic technologies are increasingly being implemented in 3D bioprinting for engineering living constructs. These technologies enable biofabrication of heterogeneous biomimetic structures made of different types of cells, biomaterials, and biomolecules. Microfluiding bioprinting technology enables highly controlled fabrication of 3D constructs in high resolutions and it has been shown to be useful for building tubular structures and vascularized constructs, which may promote the survival and integration of implanted engineered tissues. Although this field is currently in its early development and the number of bioprinted implants is limited, it is envisioned that it will have a major impact on the production of customized clinical-grade tissue constructs. Further studies are, however, needed to fully demonstrate the effectiveness of the technology in the lab and its translation to the clinic.Microfluidic devices are widely used for applications such as cell isolation. Currently, the most common method to improve throughput for microfluidic devices involves fabrication of multiple, identical channels in parallel. However, this ‘numbering up’ only occurs in one dimension, thereby limiting gains in volumetric throughput. In contrast, macro-fluidic devices permit high volumetric flow-rates but lack the finer control of microfluidics. Here, we demonstrate how a micro-pore array design enables flow homogenization across a magnetic cell capture device, thus creating a massively parallel series of micro-scale flow channels with consistent fluidic and magnetic properties, regardless of spatial location. Piperlongumine solubility dmso This design enables scaling in 2-dimensions, allowing flow-rates exceeding 100 mL/hr while maintaining >90% capture efficiencies of spiked lung cancer cells from blood in a simulated circulating tumor cell system. Additionally, this design facilitates modularity in operation, which we demonstrate by combining two different devices in tandem for multiplexed cell separation in a single pass with no additional cell losses from processing.We report the fabrication of a tubular polydimethylsiloxane (PDMS) platform containing arrays of small pores on the wall for modeling blood vessels in vitro. The thin PDMS tubes are produced following our previously reported templating approach, while the pores are subsequently generated using focused laser ablation. As such, when these perforated PDMS tube are populated with a monolayer of endothelial cells on the interior surfaces and embedded within an extracellular matrix (ECM)-like environment, the endothelial cells can sprout out from the tubes into the surrounding matrix through the open pores. When a pair of perforated PDMS tubes are placed in parallel in the matrix, formation of an interconnected network of microvasculature or larger vessels occurs, which is dependent on the flow dynamics within the PDMS tubes. Moreover, when co-cultured with tumor spheroids, the onset of tumor angiogenesis is observed. Our perforated and endothelialized PDMS tubes are believed to enable convenient vascular modeling in vitro and will likely contribute to improved biological studies as well as therapeutic screening.In this study, we tested the effects of cooperative learning on students’ prosocial behavior. Cooperative learning is a small-group instructional technique that establishes positive interdependence among students and, unlike most current school-based programs, does not mandate a formal curriculum. Given the emphasis in cooperative learning on peer reinforcement for positive and helpful behavior during learning activities, we hypothesized that cooperative learning would promote higher levels of prosocial behavior, and that these effects would be mediated by peer relatedness. Using a sample of 1,890 students (47.1% female, 75.2% White) from a cluster randomized trial of 15 middle schools, we found that cooperative learning significantly enhanced prosocial behavior across two years. Mediation was only partial, however, suggesting that additional mechanisms were at work, such as changes to social norms or teacher behavior. Given that cooperative learning has been shown to enhance student engagement and academic achievement in prior research, we argue that cooperative learning should be a central component of teacher training and professional development.The Covid-19 is a highly contagious disease which becomes a serious global health concern. The residents living in areas with high population density, such as big or metropolitan cities, have a higher probability to come into close contact with others and consequently any contagious disease is expected to spread rapidly in dense areas. However, recently, after analyzing Covid-19 cases in the USA researchers at the Johns Hopkins Bloomberg School of Public Health, London school of economics, and IZA-Institute of Labour Economics conclude that the spread of Covid-19 is not linked with population density. Here, we investigate the influence of population density on Covid-19 spread and related mortality in the context of India. After a detailed correlation and regression analysis of infection and mortality rates due to Covid-19 at the district level, we find moderate association between Covid-19 spread and population density.An urgent question of coronavirus disease 2019 (COVID-19) is population variation in susceptibility to SARS-CoV-2 infection and symptom severity. We explore the expression profiles of SARS-CoV-2 host genes, their population variations, associated genetic variants, age- and sex-dependency in normal individuals. SARS-CoV-2 host genes are provisionally defined as the human genes that are experimentally validated or bioinformatically predicted to interact with SARS-CoV-2 proteins. Genes exhibiting most variable expression include ACE2, CLEC4G, CLEC4M, CD209 (interact with the SARS-CoV-2 spike protein); REEP6 (a receptor accessory protein expressed in the olfactory epithelium); SLC27A2 and PKP2 (inhibit virus replication); and PTGS2 (mediates fever response). SNP rs4804803, associated with SARS severity, affects expression of CLEC4G and CD209. Genetic variants of proteases associated with SARS-CoV-2 entry (TMPRSS2, CTSB, and CTSL) are strongly associated with their expression variation, suggesting a genetic contribution to phenotypic variations in multiple organs upon virus attack.