title: Microfluidic geometric metering-based multi-reagent mixture generator for robust live cell screening array.
abstract: Microfluidic live cell arrays with integrated concentration gradient or mixture generators have been utilized in screening cellular responses to various biomolecular cues. Microfluidic network-based gradient generators that can create concentration gradients by repeatedly splitting and mixing different solutions using networks of serpentine channels are commonly used. However, in this method the generation of concentration gradients relies on the continuous flow of sample solutions at optimized flow rates, which poses challenges in maintaining the pressure and flow stability throughout the entire assay period. Here we present a microfluidic live cell screening array with an on-demand multi-reagent mixture generator where the mixing ratios, thus generated concentrations, are hard-wired into the chip itself through a geometric metering method. This platform showed significantly improved robustness and repeatability in generating concentration gradients of fluorescent dyes (average coefficient of variance C.V. = 9 %) compared to the conventional network-based gradient generators (average C.V. = 21 %). In studying the concentration dependent effects of the environmental toxicant 3-methylcholanthrene (3MC) on the activation of cytochrome P450 1A1 (Cyp 1A1) enzyme in H4IIE rat hepatoma cells, statistical variation of the Cyp 1A1 response was significantly lower (C.V. = 5 %) when using the developed mixture generator compared to that using the conventional gradient generator (C.V. = 12 %). Reduction in reagent consumption by 12-times was also achieved. This robust, accurate, and scalable multi-reagent mixture generator integrated with a cell culture array as a live cell assay platform can be readily implemented into various screening applications where repeatability, robustness, and low reagent consumptions over long periods of assay time are of importance.
authors.affiliation: Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, 77843, USA.
authors.forename: Han
authors.initials: H
authors.lastname: Wang
authors.forename: Jeongyun
authors.initials: J
authors.lastname: Kim
authors.forename: Arul
authors.initials: A
authors.lastname: Jayaraman
authors.forename: Arum
authors.initials: A
authors.lastname: Han
mesh_terms: D000818:Animals; D001681:Biological Assay / Q000295:instrumentation / Q000379:methods; D045744:Cell Line, Tumor; D019363:Cytochrome P-450 CYP1A1 / Q000378:metabolism; D004785:Environmental Pollutants / Q000032:analysis / Q000494:pharmacology; D004789:Enzyme Activation / Q000187:drug effects; D008748:Methylcholanthrene / Q000032:analysis / Q000494:pharmacology; D046210:Microfluidic Analytical Techniques / Q000295:instrumentation / Q000379:methods; D051381:Rats; D046888:Tissue Array Analysis / Q000295:instrumentation / Q000379:methods
chemical_list: D004785:Environmental Pollutants; D008748:Methylcholanthrene; D019363:Cytochrome P-450 CYP1A1