Digitalized Human Organoid for Wireless Phenotyping

Summary: Radio frequency identification (RFID) is a cost-effective and durable method to trace and track individual objects in multiple contexts by wirelessly providing digital signals; RFID is thus widely used in many fields. Here, we implement this concept to biological tissues by producing a comp...

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Main Authors: Masaki Kimura, Momoko Azuma, Ran-Ran Zhang, Wendy Thompson, Christopher N. Mayhew, Takanori Takebe
Format: Article
Language:English
Published: Elsevier 2018-06-01
Series:iScience
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004218300622
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spelling doaj-097e22d7845b48dc82669b047a3121a82020-11-25T01:15:24ZengElsevieriScience2589-00422018-06-014294301Digitalized Human Organoid for Wireless PhenotypingMasaki Kimura0Momoko Azuma1Ran-Ran Zhang2Wendy Thompson3Christopher N. Mayhew4Takanori Takebe5Division of Gastroenterology, Hepatology & Nutrition, Developmental Biology, Center for Stem Cell and Organoid Medicine (CuSTOM), Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229-3039, USADivision of Gastroenterology, Hepatology & Nutrition, Developmental Biology, Center for Stem Cell and Organoid Medicine (CuSTOM), Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229-3039, USADivision of Gastroenterology, Hepatology & Nutrition, Developmental Biology, Center for Stem Cell and Organoid Medicine (CuSTOM), Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229-3039, USADivision of Gastroenterology, Hepatology & Nutrition, Developmental Biology, Center for Stem Cell and Organoid Medicine (CuSTOM), Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229-3039, USADivision of Gastroenterology, Hepatology & Nutrition, Developmental Biology, Center for Stem Cell and Organoid Medicine (CuSTOM), Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229-3039, USADivision of Gastroenterology, Hepatology & Nutrition, Developmental Biology, Center for Stem Cell and Organoid Medicine (CuSTOM), Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229-3039, USA; Department of Pediatrics, University of Cincinnati College of Medicine, 3333 Burnet Avenue, Cincinnati, OH 45229-3039, USA; Institute of Research, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan; Advanced Medical Research Center, Yokohama City University Graduate School of Medicine, Kanazawa-ku 3-9, Yokohama, Kanagawa 236-0004, Japan; Corresponding authorSummary: Radio frequency identification (RFID) is a cost-effective and durable method to trace and track individual objects in multiple contexts by wirelessly providing digital signals; RFID is thus widely used in many fields. Here, we implement this concept to biological tissues by producing a compact RFID chip-incorporated organoid (RiO). The 0.4 mm RFID chips are reproducibly integrated inside the self-assembling organoids from 10 different induced pluripotent stem cell (iPSC) lines from healthy and diseased donors. We use the digitalized RiO to conduct a phenotypic screen on a pool of RiO, followed by detection of each specific donor in situ. Our proof-of-principle experiments demonstrated that a severely steatotic phenotype could be identified by RFID chip reading and was specific to a genetic disorder of steatohepatitis. Given evolving advancements surrounding RFID technology, the digitalization principle outlined here will expand organoid medicine potential toward drug development, precision medicine, and transplant applications. : Cell Biology; Stem Cells Research; Bioengineering Subject Areas: Cell Biology, Stem Cells Research, Bioengineeringhttp://www.sciencedirect.com/science/article/pii/S2589004218300622
collection DOAJ
language English
format Article
sources DOAJ
author Masaki Kimura
Momoko Azuma
Ran-Ran Zhang
Wendy Thompson
Christopher N. Mayhew
Takanori Takebe
spellingShingle Masaki Kimura
Momoko Azuma
Ran-Ran Zhang
Wendy Thompson
Christopher N. Mayhew
Takanori Takebe
Digitalized Human Organoid for Wireless Phenotyping
iScience
author_facet Masaki Kimura
Momoko Azuma
Ran-Ran Zhang
Wendy Thompson
Christopher N. Mayhew
Takanori Takebe
author_sort Masaki Kimura
title Digitalized Human Organoid for Wireless Phenotyping
title_short Digitalized Human Organoid for Wireless Phenotyping
title_full Digitalized Human Organoid for Wireless Phenotyping
title_fullStr Digitalized Human Organoid for Wireless Phenotyping
title_full_unstemmed Digitalized Human Organoid for Wireless Phenotyping
title_sort digitalized human organoid for wireless phenotyping
publisher Elsevier
series iScience
issn 2589-0042
publishDate 2018-06-01
description Summary: Radio frequency identification (RFID) is a cost-effective and durable method to trace and track individual objects in multiple contexts by wirelessly providing digital signals; RFID is thus widely used in many fields. Here, we implement this concept to biological tissues by producing a compact RFID chip-incorporated organoid (RiO). The 0.4 mm RFID chips are reproducibly integrated inside the self-assembling organoids from 10 different induced pluripotent stem cell (iPSC) lines from healthy and diseased donors. We use the digitalized RiO to conduct a phenotypic screen on a pool of RiO, followed by detection of each specific donor in situ. Our proof-of-principle experiments demonstrated that a severely steatotic phenotype could be identified by RFID chip reading and was specific to a genetic disorder of steatohepatitis. Given evolving advancements surrounding RFID technology, the digitalization principle outlined here will expand organoid medicine potential toward drug development, precision medicine, and transplant applications. : Cell Biology; Stem Cells Research; Bioengineering Subject Areas: Cell Biology, Stem Cells Research, Bioengineering
url http://www.sciencedirect.com/science/article/pii/S2589004218300622
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AT ranranzhang digitalizedhumanorganoidforwirelessphenotyping
AT wendythompson digitalizedhumanorganoidforwirelessphenotyping
AT christophernmayhew digitalizedhumanorganoidforwirelessphenotyping
AT takanoritakebe digitalizedhumanorganoidforwirelessphenotyping
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