Multisensor-integrated organs-on-chips platform for automated and continual in situ monitoring of organoid behaviors
Organ-on-a-chip systems areminiaturizedmicrofluidic 3D human tissue and organ models designed to recapitulate the important biological and physiological parameters of their in vivo counterparts. They have recently emerged as a viable platform for personalized medicine and drug screening. These in vi...
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| Format: | Article |
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National Academy of Sciences (U.S.)
2017
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| Online Access: | http://hdl.handle.net/1721.1/112226 |
| _version_ | 1826188059252621312 |
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| author | Zhang, Yu Shrike Aleman, Julio Shin, Su Ryon Kilic, Tugba Kim, Duckjin Mousavi Shaegh, Seyed Ali Massa, Solange Riahi, Reza Chae, Sukyoung Hu, Ning Avci, Huseyin Silvestri, Antonia Sanati Nezhad, Amir Manbohi, Ahmad De Ferrari, Fabio Polini, Alessandro Calzone, Giovanni Shaikh, Noor Alerasool, Parissa Budina, Erica Kang, Jian Bhise, Nupura Ribas, João Pourmand, Adel Skardal, Aleksander Shupe, Thomas Bishop, Colin E. Dokmeci, Mehmet Remzi Atala, Anthony Zhang, Weijia Khademhosseini, Ali |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology Zhang, Yu Shrike Aleman, Julio Shin, Su Ryon Kilic, Tugba Kim, Duckjin Mousavi Shaegh, Seyed Ali Massa, Solange Riahi, Reza Chae, Sukyoung Hu, Ning Avci, Huseyin Silvestri, Antonia Sanati Nezhad, Amir Manbohi, Ahmad De Ferrari, Fabio Polini, Alessandro Calzone, Giovanni Shaikh, Noor Alerasool, Parissa Budina, Erica Kang, Jian Bhise, Nupura Ribas, João Pourmand, Adel Skardal, Aleksander Shupe, Thomas Bishop, Colin E. Dokmeci, Mehmet Remzi Atala, Anthony Zhang, Weijia Khademhosseini, Ali |
| author_sort | Zhang, Yu Shrike |
| collection | MIT |
| description | Organ-on-a-chip systems areminiaturizedmicrofluidic 3D human tissue and organ models designed to recapitulate the important biological and physiological parameters of their in vivo counterparts. They have recently emerged as a viable platform for personalized medicine and drug screening. These in vitro models, featuring biomimetic compositions, architectures, and functions, are expected to replace the conventional planar, static cell cultures and bridge the gap between the currently used preclinical animal models and the human body. Multiple organoid models may be further connected together through the microfluidics in a similar manner in which they are arranged in vivo, providing the capability to analyze multiorgan interactions. Although a wide variety of human organ-on-a-chip models have been created, there are limited efforts on the integration of multisensor systems. However, in situ continual measuring is critical in precise assessment of the microenvironment parameters and the dynamic responses of the organs to pharmaceutical compounds over extended periods of time. In addition, automated and noninvasive capability is strongly desired for long-term monitoring. Here, we report a fully integrated modular physical, biochemical, and optical sensing platform through a fluidics-routing breadboard, which operates organ-on-a-chip units in a continual, dynamic, and automated manner.We believe that this platform technology has paved a potential avenue to promote the performance of current organ-on-a-chip models in drug screening by integrating a multitude of real-time sensors to achieve automated in situ monitoring of biophysical and biochemical parameters. |
| first_indexed | 2024-09-23T07:53:58Z |
| format | Article |
| id | mit-1721.1/112226 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T07:53:58Z |
| publishDate | 2017 |
| publisher | National Academy of Sciences (U.S.) |
| record_format | dspace |
| spelling | mit-1721.1/1122262022-09-30T00:53:45Z Multisensor-integrated organs-on-chips platform for automated and continual in situ monitoring of organoid behaviors Zhang, Yu Shrike Aleman, Julio Shin, Su Ryon Kilic, Tugba Kim, Duckjin Mousavi Shaegh, Seyed Ali Massa, Solange Riahi, Reza Chae, Sukyoung Hu, Ning Avci, Huseyin Silvestri, Antonia Sanati Nezhad, Amir Manbohi, Ahmad De Ferrari, Fabio Polini, Alessandro Calzone, Giovanni Shaikh, Noor Alerasool, Parissa Budina, Erica Kang, Jian Bhise, Nupura Ribas, João Pourmand, Adel Skardal, Aleksander Shupe, Thomas Bishop, Colin E. Dokmeci, Mehmet Remzi Atala, Anthony Zhang, Weijia Khademhosseini, Ali Harvard University--MIT Division of Health Sciences and Technology Koch Institute for Integrative Cancer Research at MIT Zhang, Weijia Khademhosseini, Alireza Organ-on-a-chip systems areminiaturizedmicrofluidic 3D human tissue and organ models designed to recapitulate the important biological and physiological parameters of their in vivo counterparts. They have recently emerged as a viable platform for personalized medicine and drug screening. These in vitro models, featuring biomimetic compositions, architectures, and functions, are expected to replace the conventional planar, static cell cultures and bridge the gap between the currently used preclinical animal models and the human body. Multiple organoid models may be further connected together through the microfluidics in a similar manner in which they are arranged in vivo, providing the capability to analyze multiorgan interactions. Although a wide variety of human organ-on-a-chip models have been created, there are limited efforts on the integration of multisensor systems. However, in situ continual measuring is critical in precise assessment of the microenvironment parameters and the dynamic responses of the organs to pharmaceutical compounds over extended periods of time. In addition, automated and noninvasive capability is strongly desired for long-term monitoring. Here, we report a fully integrated modular physical, biochemical, and optical sensing platform through a fluidics-routing breadboard, which operates organ-on-a-chip units in a continual, dynamic, and automated manner.We believe that this platform technology has paved a potential avenue to promote the performance of current organ-on-a-chip models in drug screening by integrating a multitude of real-time sensors to achieve automated in situ monitoring of biophysical and biochemical parameters. National Institutes of Health (U.S.) (Grant EB012597) National Institutes of Health (U.S.) (Grant AR057837) National Institutes of Health (U.S.) (Grant DE021468) National Institutes of Health (U.S.) (Grant HL099073) National Institutes of Health (U.S.) (Grant R56AI105024) National Institutes of Health (U.S.) (Grant AR068258) National Institutes of Health (U.S.) (Grant AR066193) National Institutes of Health (U.S.) (Grant EB022403) National Institutes of Health (U.S.) (Grant EB021148) 2017-11-17T16:52:46Z 2017-11-17T16:52:46Z 2017-03 2016-08 2017-10-30T19:40:19Z Article http://purl.org/eprint/type/JournalArticle 0027-8424 1091-6490 http://hdl.handle.net/1721.1/112226 Zhang, Yu Shrike, et al. “Multisensor-Integrated Organs-on-Chips Platform for Automated and Continual in Situ Monitoring of Organoid Behaviors.” Proceedings of the National Academy of Sciences 114, 12 (March 2017): E2293–E2302 © 2017 National Academy of Sciences http://dx.doi.org/10.1073/pnas.1612906114 Proceedings of the National Academy of Sciences Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf National Academy of Sciences (U.S.) PNAS |
| spellingShingle | Zhang, Yu Shrike Aleman, Julio Shin, Su Ryon Kilic, Tugba Kim, Duckjin Mousavi Shaegh, Seyed Ali Massa, Solange Riahi, Reza Chae, Sukyoung Hu, Ning Avci, Huseyin Silvestri, Antonia Sanati Nezhad, Amir Manbohi, Ahmad De Ferrari, Fabio Polini, Alessandro Calzone, Giovanni Shaikh, Noor Alerasool, Parissa Budina, Erica Kang, Jian Bhise, Nupura Ribas, João Pourmand, Adel Skardal, Aleksander Shupe, Thomas Bishop, Colin E. Dokmeci, Mehmet Remzi Atala, Anthony Zhang, Weijia Khademhosseini, Ali Multisensor-integrated organs-on-chips platform for automated and continual in situ monitoring of organoid behaviors |
| title | Multisensor-integrated organs-on-chips platform for automated and continual in situ monitoring of organoid behaviors |
| title_full | Multisensor-integrated organs-on-chips platform for automated and continual in situ monitoring of organoid behaviors |
| title_fullStr | Multisensor-integrated organs-on-chips platform for automated and continual in situ monitoring of organoid behaviors |
| title_full_unstemmed | Multisensor-integrated organs-on-chips platform for automated and continual in situ monitoring of organoid behaviors |
| title_short | Multisensor-integrated organs-on-chips platform for automated and continual in situ monitoring of organoid behaviors |
| title_sort | multisensor integrated organs on chips platform for automated and continual in situ monitoring of organoid behaviors |
| url | http://hdl.handle.net/1721.1/112226 |
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