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Digitalized Human Organoid for Wireless Phenotyping
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6147234/ https://www.ncbi.nlm.nih.gov/pubmed/30240748 http://dx.doi.org/10.1016/j.isci.2018.05.007 |
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author | Kimura, Masaki Azuma, Momoko Zhang, Ran-Ran Thompson, Wendy Mayhew, Christopher N. Takebe, Takanori |
author_facet | Kimura, Masaki Azuma, Momoko Zhang, Ran-Ran Thompson, Wendy Mayhew, Christopher N. Takebe, Takanori |
author_sort | Kimura, Masaki |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6147234 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-61472342018-10-02 Digitalized Human Organoid for Wireless Phenotyping Kimura, Masaki Azuma, Momoko Zhang, Ran-Ran Thompson, Wendy Mayhew, Christopher N. Takebe, Takanori iScience Article 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. Elsevier 2018-05-31 /pmc/articles/PMC6147234/ /pubmed/30240748 http://dx.doi.org/10.1016/j.isci.2018.05.007 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kimura, Masaki Azuma, Momoko Zhang, Ran-Ran Thompson, Wendy Mayhew, Christopher N. Takebe, Takanori Digitalized Human Organoid for Wireless Phenotyping |
title | 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_short | Digitalized Human Organoid for Wireless Phenotyping |
title_sort | digitalized human organoid for wireless phenotyping |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6147234/ https://www.ncbi.nlm.nih.gov/pubmed/30240748 http://dx.doi.org/10.1016/j.isci.2018.05.007 |
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