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      Microfluidic devices for embryonic and larval zebrafish studies

      1 , 1
      Briefings in Functional Genomics
      Oxford University Press (OUP)

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          Zebrafish: a model system for the study of human disease.

          K. Dooley (2000)
          The zebrafish (Danio rerio) is a powerful model organism for the study of vertebrate biology, being well suited to both developmental and genetic analysis. Large-scale genetic screens have identified hundreds of mutant phenotypes, many of which resemble human clinical disorders. The creation of critical genetic reagents, coupled with the rapid progress of the zebrafish genome initiative directed by the National Institutes of Health, are bringing this model system to its full potential for the study of vertebrate biology, physiology and human disease.
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            Rapid behavior—based identification of neuroactive small molecules in the zebrafish

            Neuroactive small molecules are indispensable tools for treating mental illnesses and dissecting nervous system function. However, it has been difficult to discover novel neuroactive drugs. Here, we describe a high—throughput (HT) behavior—based approach to neuroactive small molecule discovery in the zebrafish. We use automated screening assays to evaluate thousands of chemical compounds and find that diverse classes of neuroactive molecules cause distinct patterns of behavior. These `behavioral barcodes' can be used to rapidly identify novel psychotropic chemicals and to predict their molecular targets. For example, we identify novel acetylcholinesterase and monoamine oxidase inhibitors using phenotypic comparisons and computational techniques. By combining HT screening technologies with behavioral phenotyping in vivo, behavior—based chemical screens may accelerate the pace of neuroactive drug discovery and provide small—molecule tools for understanding vertebrate behavior.
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              Mail-order microfluidics: evaluation of stereolithography for the production of microfluidic devices.

              The vast majority of microfluidic devices are developed in PDMS by molding ("soft lithography") because PDMS is an inexpensive material, has physicochemical properties that are well suited for biomedical and physical sciences applications, and design cycle lengths are generally adequate for prototype development. However, PDMS molding is tediously slow and thus cannot provide the high- or medium-volume production required for the commercialization of devices. While high-throughput plastic molding techniques (e.g. injection molding) exist, the exorbitant cost of the molds and/or the equipment can be a serious obstacle for device commercialization, especially for small startups. High-volume production is not required to reach niche markets such as clinical trials, biomedical research supplies, customized research equipment, and classroom projects. Crucially, both PDMS and plastic molding are layer-by-layer techniques where each layer is produced as a result of physicochemical processes not specified in the initial photomask(s) and where the final device requires assembly by bonding, all resulting in a cost that is very hard to predict at the start of the project. By contrast, stereolithography (SL) is an automated fabrication technique that allows for the production of quasi-arbitrary 3D shapes in a single polymeric material at medium-volume throughputs (ranging from a single part to hundreds of parts). Importantly, SL devices can be designed between several groups using CAD tools, conveniently ordered by mail, and their cost precisely predicted via a web interface. Here we evaluate the resolution of an SL mail-order service and the main causes of resolution loss; the optical clarity of the devices and how to address the lack of clarity for imaging in the channels; and the future role that SL could play in the commercialization of microfluidic devices.
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                Author and article information

                Journal
                Briefings in Functional Genomics
                Oxford University Press (OUP)
                2041-2657
                April 29 2019
                April 29 2019
                Affiliations
                [1 ]Department of Mechanical Engineering, York University, Toronto, ON, Canada
                Article
                10.1093/bfgp/elz006
                31034029
                3805018c-b611-4b1e-a15f-b838e9971128
                © 2019

                https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

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