Advances in microfluidics for zebrafish processing are critical to facilitate the bioassay in new drug development. Still, a manipulation platform for zebrafish relies mainly on the “static” agarose material and is coupled with the conventional fish facility to ensure the time-history investigation with the homogenous zebrafish population for drug screening. A fully automated IoT (Internet of Things) microfluidics system is necessary to be developed to enable smart and high-speed zebrafish testing without the need for fish facility support. In this work, a smart microfluidic device was presented to enable (i) highly efficient temperature control with the precision of ± 0.1 °C, (ii) remote zebrafish transport through light patterning, and (iii) perfusion and dynamic culturing of zebrafish all together assembled for on-chip high-quality imaging. A new microscale manipulation is envisaged to initiate a new chapter of running bioassays.
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Agrawal AA (2001) Phenotypic plasticity in the interactions and evolution of species. Science 294:321–326. https://doi.org/10.1126/science.1060701
Asnani A, Peterson RT (2014) The zebrafish as a tool to identify novel therapies for human cardiovascular disease. Dis Models Mech 7:763–767
Blaser RE, Chadwick L, McGinnis GC (2010) Behavioral measures of anxiety in zebrafish (Danio rerio). Behav Brain Res 208:56–62. https://doi.org/10.1016/j.bbr.2009.11.009
Brockerhoff SE (2006) Measuring the optokinetic response of zebrafish larvae. Nat Protoc 1:2448–2451. https://doi.org/10.1038/nprot.2006.255
Chang TY, Pardo-Martin C, Allalou A, Wahlby C, Yanik MF (2012) Fully automated cellular-resolution vertebrate screening platform with parallel animal processing. Lab Chip 12:711–716
Chen C-Y, Chang Chien T-C, Mani K, Tsai H-Y (2016) Axial orientation control of zebrafish larvae using artificial cilia. Microfluid Nanofluid 20:12. https://doi.org/10.1007/s10404-015-1668-z
Chen C-Y, Chen C-Y, Lin C-Y, Hu Y-T (2013) Magnetically actuated artificial cilia for optimum mixing performance in microfluidics. Lab Chip 13:2834–2839
Condon CH, Chenoweth SF, Wilson RS (2010) Zebrafish take their cue from temperature but not photoperiod for the seasonal plasticity of thermal performance. J Exp Biol 213:3705–3709. https://doi.org/10.1242/jeb.046979
Cortemeglia C, Beitinger TL (2005) Temperature tolerances of wild-type and red transgenic zebra danios. Trans Am Fish Soc 134:1431–1437. https://doi.org/10.1577/T04-197.1
Dooley K, Zon LI (2000) Zebrafish: a model system for the study of human disease. Curr Opin Genet Dev 10:252–256
Emran F, Rihel J, Dowling JE (2008) A behavioral assay to measure responsiveness of zebrafish to changes in light intensities. J Vis Exp 923. https://doi.org/10.3791/923
Engeszer RE, Patterson LB, Rao AA, Parichy DM (2007) Zebrafish in the wild: a review of natural history and new notes from the field. Zebrafish 4:21–40. https://doi.org/10.1089/zeb.2006.9997
Harper C, Lawrence C (2010) The laboratory Zebrafish. CRC Press, Boca Raton, p 274
Kimmel CB, Ballard WW, Kimmel SR, Ullmann B, Schilling TF (1995) Stages of embryonic development of the zebrafish. Dev Dyn 203:253–310. https://doi.org/10.1002/aja.1002030302
Lawrence C (2007) The husbandry of zebrafish (Danio rerio): a review. Aquaculture 269:1–20. https://doi.org/10.1016/j.aquaculture.2007.04.077
Li Y et al (2014) Zebrafish on a chip: a novel platform for real-time monitoring of drug-induced developmental toxicity. PLoS ONE 9:e94792. https://doi.org/10.1371/journal.pone.0094792
Lin X et al (2015) High-throughput mapping of brain-wide activity in awake and drug-responsive vertebrates. Lab Chip 15:680–689
Mani K, Chang Chien T-C, Panigrahi B, Chen C-Y (2016) Manipulation of zebrafish’s orientation using artificial cilia in a microchannel with actively adaptive wall design. Sci Rep 6:36385
Mani K, Hsieh Y-C, Panigrahi B, Chen C-Y (2018) A noninvasive light driven technique integrated microfluidics for zebrafish larvae transportation. Biomicrofluidics 12:021101–021101
Marks C, West TN, Bagatto B, Moore FBG (2005) Developmental Environment Alters Conditional Aggression in Zebrafish. Copeia 2005:901–908. https://doi.org/10.1643/0045-8511(2005)005[0901:DEACAI]2.0.CO;2
Neuhauss SC (2003) Behavioral genetic approaches to visual system development and function in zebrafish. Dev Neurobiol 54:148–160
Panigrahi B, Chen C-Y (2019a) microfludic transportation control of larval zebrafish throgh optomotor regulations under the pressuredriven flow. Micromachines 10(12):880
Panigrahi B, Chen C-Y (2019b) Microfluidic retention of progressively motile zebrafish sperms. Lab Chip 19:4033–4042. https://doi.org/10.1039/C9LC00534J
Ruiz-Oliveira J, Silva PF, Luchiari AC (2019) Coffee time: low caffeine dose promotes attention and focus in zebrafish. Learn Behav 47:227–233. https://doi.org/10.3758/s13420-018-0369-3
Sawant MS, Zhang S, Li L (2011) Effect of salinity on development of zebrafish, Brachydanio rerio. Res Commun 81
Schaefer JF, Ryan A (2006) Developmental plasticity in the thermal tolerance of zebrafish Danio rerio. J Fish Biol 69:722–734. https://doi.org/10.1111/j.1095-8649.2006.01145.x
Schindelin J et al (2012) Fiji: an open-source platform for biological-image analysis. Nat Methods 9:676–682
Schmitt EA, Dowling JE (1999) Early retinal development in the zebrafish, Danio rerio: light and electron microscopic analyses. J Comp Neurol 404:515–536
Scott GR, Johnston IA (2012) Temperature during embryonic development has persistent effects on thermal acclimation capacity in zebrafish. Proc Natl Acad Sci 109:14247. https://doi.org/10.1073/pnas.1205012109
Son SU, Garrell RL (2009) Transport of live yeast and zebrafish embryo on a droplet (“digital”) microfluidic platform. Lab Chip 9:2398–2401. https://doi.org/10.1039/B906257B
Steele WB, Mole RA, Brooks BW (2018) Experimental protocol for examining behavioral response profiles in larval fish: application to the neuro-stimulant caffeine. J Vis Exp. https://doi.org/10.3791/57938
Stewart A et al (2011) Zebrafish models to study drug abuse-related phenotypes. Rev Neurosci 22:95–105. https://doi.org/10.1515/RNS.2011.011
Vestergaard P (2008) Skeletal effects of central nervous system active drugs: anxiolytics, sedatives, antidepressants, lithium and neuroleptics. Curr Drug Saf 3:185–189. https://doi.org/10.2174/157488608785699432
Via S, Lande R (1985) Genotype-environment interaction and the evolution of phenotypic plasticity. Evolution 39:505–522. https://doi.org/10.1111/j.1558-5646.1985.tb00391.x
Villamizar N, Vera LM, Foulkes NS, Sánchez-Vázquez FJ (2014) Effect of lighting conditions on zebrafish growth and development. Zebrafish 11:173–181. https://doi.org/10.1089/zeb.2013.0926
Wielhouwer EM et al (2011) Zebrafish embryo development in a microfluidic flow-through system. Lab Chip 11:1815–1824. https://doi.org/10.1039/C0LC00443J
Wolf S et al (2017) Sensorimotor computation underlying phototaxis in zebrafish. Nat Commun 8:651
Yang F, Gao C, Wang P, Zhang G-J, Chen Z (2016) Fish-on-a-chip: microfluidics for zebrafish research. Lab Chip 16:1106–1125. https://doi.org/10.1039/C6LC00044D
Zhang Q, Kopp M, Babiak I, Fernandes JMO (2018) Low incubation temperature during early development negatively affects survival and related innate immune processes in zebrafish larvae exposed to lipopolysaccharide. Sci Rep 8:4142. https://doi.org/10.1038/s41598-018-22288-8
Zheng C, Zhou H, Liu X, Pang Y, Zhang B, Huang Y (2014) Fish in chips: an automated microfluidic device to study drug dynamics in vivo using zebrafish embryos. Chem Commun 50:981–984. https://doi.org/10.1039/C3CC47285J
This study was supported through the Ministry of Science and Technology of Taiwan under Contract No. MOST 108-2221-E-006-221-MY4 (to Chia-Yuan Chen). This work would not be possible without the facility provided by Center for Micro/Nano Science and Technology, National Cheng Kung University. This research was supported in part by the Higher Education Sprout Project, Ministry of Education to the Headquarters of University Advancement at National Cheng Kung University.
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Mani, K., Chen, CY. A smart microfluidic-based fish farm for zebrafish screening. Microfluid Nanofluid 25, 22 (2021). https://doi.org/10.1007/s10404-021-02423-0
- Internet of things
- Fish on a chip
- Automated drug screening