IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v12y2021i1d10.1038_s41467-021-21078-7.html
   My bibliography  Save this article

Engineering advanced logic and distributed computing in human CAR immune cells

Author

Listed:
  • Jang Hwan Cho

    (Boston University
    Boston University)

  • Atsushi Okuma

    (Boston University
    Boston University)

  • Katri Sofjan

    (Boston University
    Boston University)

  • Seunghee Lee

    (Boston University
    Boston University)

  • James J. Collins

    (MIT
    MIT
    MIT
    Harvard-MIT Program in Health Sciences and Technology)

  • Wilson W. Wong

    (Boston University
    Boston University)

Abstract

The immune system is a sophisticated network of different cell types performing complex biocomputation at single-cell and consortium levels. The ability to reprogram such an interconnected multicellular system holds enormous promise in treating various diseases, as exemplified by the use of chimeric antigen receptor (CAR) T cells as cancer therapy. However, most CAR designs lack computation features and cannot reprogram multiple immune cell types in a coordinated manner. Here, leveraging our split, universal, and programmable (SUPRA) CAR system, we develop an inhibitory feature, achieving a three-input logic, and demonstrate that this programmable system is functional in diverse adaptive and innate immune cells. We also create an inducible multi-cellular NIMPLY circuit, kill switch, and a synthetic intercellular communication channel. Our work highlights that a simple split CAR design can generate diverse and complex phenotypes and provide a foundation for engineering an immune cell consortium with user-defined functionalities.

Suggested Citation

  • Jang Hwan Cho & Atsushi Okuma & Katri Sofjan & Seunghee Lee & James J. Collins & Wilson W. Wong, 2021. "Engineering advanced logic and distributed computing in human CAR immune cells," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21078-7
    DOI: 10.1038/s41467-021-21078-7
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-021-21078-7
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-021-21078-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tingting Cui & Yu Zhang & Geng Qin & Yue Wei & Jie Yang & Ying Huang & Jinsong Ren & Xiaogang Qu, 2023. "A neutrophil mimicking metal-porphyrin-based nanodevice loaded with porcine pancreatic elastase for cancer therapy," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    2. Anna-Maria Makri Pistikou & Glenn A. O. Cremers & Bryan L. Nathalia & Theodorus J. Meuleman & Bas W. A. Bögels & Bruno V. Eijkens & Anne Dreu & Maarten T. H. Bezembinder & Oscar M. J. A. Stassen & Car, 2023. "Engineering a scalable and orthogonal platform for synthetic communication in mammalian cells," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    3. Rocío Castellanos-Rueda & Raphaël B. Roberto & Florian Bieberich & Fabrice S. Schlatter & Darya Palianina & Oanh T. P. Nguyen & Edo Kapetanovic & Heinz Läubli & Andreas Hierlemann & Nina Khanna & Sai , 2022. "speedingCARs: accelerating the engineering of CAR T cells by signaling domain shuffling and single-cell sequencing," Nature Communications, Nature, vol. 13(1), pages 1-16, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21078-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.