Digitalized Human Organoid for Wireless Phenotyping

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Digitalized Human Organoid for Wireless Phenotyping Masaki Kimura, Momoko Azuma, Ran-Ran Zhang, Wendy Thompson, Christopher N. Mayhew, Takanori Takebe  iScience  Volume 4, Pages 294-301 (June 2018) DOI: 10.1016/j.isci.2018.05.007 Copyright © 2018 The Authors Terms and Conditions

iScience 2018 4, 294-301DOI: (10.1016/j.isci.2018.05.007) Copyright © 2018 The Authors Terms and Conditions

Figure 1 Concept of Organoid Digitalization with O-Chip (A) A schematic of organoid digitalization strategy. Integration of O-Chip into organoids makes it possible to digitalize organoids. (B) The size of the O-Chip: 0.46 ×0.48 μm2. (C) Self-condensation culture with O-Chip (Takebe et al., 2015). Serial pictures show that O-Chips are being integrated into organoids formed from iPSC derivatives. (D) RiO morphology. Each organoid completely encompasses one RFID microchip. Scale bars for RiO, 200 μm; for zoomed-in images, 100 μm. iScience 2018 4, 294-301DOI: (10.1016/j.isci.2018.05.007) Copyright © 2018 The Authors Terms and Conditions

Figure 2 O-Chip Incorporation into Human iPSC Liver Organoids (A) A comparison between RiO and control LO demonstrating no differences in morphology. Scale bars for RiO, 1 mm; for zoomed-in images, 500 μm. (B and C) A comparison between RiO and control LO demonstrating no functional differences. (B) Gene expression analysis was performed for the liver-specific markers ALB, AFP, and AAT in RiO and control LO. (C) An ALB ELISA was performed on the supernatant collected from RiO and control LO. (D) A representative image of immunostaining for ALB, HNF4A, and DAPI on a RiO. Scale bars for RiO, 100 μm. (E) CLF and rhodamine123 uptake into RiO. Images were taken 10 min after each fluorescein exposure. Rectangle indicates O-Chip. Scale bars for RiO, 500 μm. iScience 2018 4, 294-301DOI: (10.1016/j.isci.2018.05.007) Copyright © 2018 The Authors Terms and Conditions

Figure 3 Simultaneous Detection System for Fluorescence Intensity and RFID in RiO (A and B) Measurement workflow and device details for RiO phenotyping. (C) Fluorescent intensity quantification of RiO in the flow path. RiOs were treated with fatty acids, and the amount of lipid accumulation was visualized using a lipid-specific fluorescent dye, BODIPY. iScience 2018 4, 294-301DOI: (10.1016/j.isci.2018.05.007) Copyright © 2018 The Authors Terms and Conditions

Figure 4 Forward Cellomic Screen of Multi-Donor-Derived RiO Pool (A) The RiO generated from seven different iPSC lines, including two from patients with Wolman disease. The RiOs were then pooled together in one culture and treated with fatty acid. The amount of accumulated lipids was quantified by fluorescent imaging as a method to screen for steatosis. (B) EPC number allocation per specific donor before freezing. Green highlighted cell lines were two Wolman disease iPSCs, and the other pink ones were five control iPSCs. (C) A fluorescent image of pooled RiO after steatosis induction demonstrating lipid accumulation using BODIPY. RiOs derived from different donors have varying lipid accumulation. Identification of each individual RiO from different iPSC lines is not possible by visual inspection. Scale bars for RiO, 1 mm. (D) Quantification of individual RiO fluorescence intensity, followed by wireless detection of EPC# in RiO by RFID reader. RiOs derived from a patient with Wolman disease accumulate the most lipids, relative to five other control iPSC lines. iScience 2018 4, 294-301DOI: (10.1016/j.isci.2018.05.007) Copyright © 2018 The Authors Terms and Conditions