Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kimura, Masaki, Azuma, Momoko, Zhang, Ran-Ran, Thompson, Wendy, Mayhew, Christopher N., Takebe, Takanori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
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
_version_ 1783356531882852352
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
work_keys_str_mv AT kimuramasaki digitalizedhumanorganoidforwirelessphenotyping
AT azumamomoko digitalizedhumanorganoidforwirelessphenotyping
AT zhangranran digitalizedhumanorganoidforwirelessphenotyping
AT thompsonwendy digitalizedhumanorganoidforwirelessphenotyping
AT mayhewchristophern digitalizedhumanorganoidforwirelessphenotyping
AT takebetakanori digitalizedhumanorganoidforwirelessphenotyping