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The placenta plays a vital role in pregnancy by regulating selective exchange between maternal and fetal circulations and producing essential hormonal signals. Here, we present an in vitro placenta-on-a-chip platform that leverages 3D bioprinting to replicate the structural and functional features of the human placental barrier. This microengineered system utilizes digital light processing 3D bioprinting to fabricate the microfluidic mold and to construct 3D encapsulated cell cultures within a biomimetic hydrogel scaffold, enabling co-culture of three human cell types, including two derived from primary placental tissue. We demonstrate excellent cell viability, high metabolic activity, placental hormone secretion, and native-like selective barrier transport properties within the model. This system offers a versatile platform for experimental perturbations to explore mechanisms of normal placental function and identify contributors to placental dysfunction. 

Abstract Throughout the COVID-19 pandemic, massive sequencing and data sharing efforts enabled the real-time surveillance of novel SARS-CoV-2 strains throughout the world, the results of which provided public health officials with actionable information to prevent the spread of the virus. However, with great sequencing comes great computation, and while cloud computing platforms bring high-performance computing directly into the hands of all who seek it, optimal design and configuration of a cloud compute cluster requires significant system administration expertise. We developed ViReflow, a user-friendly viral consensus sequence reconstruction pipeline enabling rapid analysis of viral sequence datasets leveraging Amazon Web Services (AWS) cloud compute resources and the Reflow system. ViReflow was developed specifically in response to the COVID-19 pandemic, but it is general to any viral pathogen. Importantly, when utilized with sufficient compute resources, ViReflow can trim, map, call variants, and call consensus sequences from amplicon sequence data from 1000 SARS-CoV-2 samples at 1000X depth in < 10 min, with no user intervention. ViReflow’s simplicity, flexibility, and scalability make it an ideal tool for viral molecular epidemiological efforts.