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Biology subjects

Frebert, S.

Publications and source records attributed to Frebert, S..

2 recordsLinked to original sources

Identification of potent HSV antivirals using 3D bioprinted human skin equivalents

Herpes simplex virus (HSV) infection has worldwide public health concerns and lifelong medical impacts. The standard therapy, acyclovir, has limited efficacy in preventing HSV subclinical virus shedding, and drug resistance occurs in immunocompromised patients, highlighting the need for novel therapeutics. HSV manifests in the skin and mucosal epithelium. Here, we found acyclovir significantly less effective in skin-derived keratinocytes than donor-matched fibroblasts. To recapitulate in vivo tissue architecture, we 3D bioprinted human skin equivalents (HSE) in a 96-well plate format amenable for antiviral screening and preclinical testing. We screened a library of 738 compounds with broad targets and mechanisms of action and identified potent antivirals, including 23 known or experimental HSV treatments, validating the translational relevance of our assay. Unlike acyclovir, antivirals against HSV helicase/primase or host replication pathways displayed similar potency across cell types and donor sources in 2D and 3D models. Our 3D bioprinted platform allowed for integrating patient-derived cells and incorporating genetic variability early in drug development. The reduced potency in keratinocytes helps explain the limited benefit acyclovir and its congeners play in reducing sexual transmission. These data indicate that the 3D bioprinted HSE assay platform provides a more physiologically relevant approach to identifying potential antivirals for HSV. One Sentence SummaryHigh-throughput screen using 3D bioprinted human skin equivalents to identify antivirals against HSV and evaluate cell-type specific effects.

bioengineering↗

Cross-platform Bayesian optimization system for autonomous biological assay development

Current high-throughput screening assay optimization is often a manual and time-consuming process, even when utilizing design-of-experiment approaches. A cross-platform, Cloud-based Bayesian optimization-based algorithm was developed as part of the NCATS ASPIRE Initiative to accelerate preclinical drug discovery. A cell-free assay for papain enzymatic activity was used as proof-of-concept for biological assay development. Compared to a brute force approach that sequentially tested all 294 assay conditions to find the global optimum, the Bayesian optimization algorithm could find suitable conditions for optimal assay performance by testing only 21 assay conditions on average, with up to 20 conditions being tested simultaneously. The algorithm could achieve a seven-fold reduction in costs for lab supplies and high-throughput experimentation run-time, all while being controlled from a remote site through a secure connection. Based on this proof-of-concept, this technology is expected to be applied to more complex biological assays and automated chemistry reaction screening at NCATS, and should be transferable to other institutions.

biochemistry↗