Article ; Online: Framework for in vivo T cell screens.
The Journal of experimental medicine
2024 Volume 221, Issue 4
Abstract: In vivo T cell screens are a powerful tool for elucidating complex mechanisms of immunity, yet there is a lack of consensus on the screen design parameters required for robust in vivo screens: gene library size, cell transfer quantity, and number of mice. ...
Abstract | In vivo T cell screens are a powerful tool for elucidating complex mechanisms of immunity, yet there is a lack of consensus on the screen design parameters required for robust in vivo screens: gene library size, cell transfer quantity, and number of mice. Here, we describe the Framework for In vivo T cell Screens (FITS) to provide experimental and analytical guidelines to determine optimal parameters for diverse in vivo contexts. As a proof-of-concept, we used FITS to optimize the parameters for a CD8+ T cell screen in the B16-OVA tumor model. We also included unique molecular identifiers (UMIs) in our screens to (1) improve statistical power and (2) track T cell clonal dynamics for distinct gene knockouts (KOs) across multiple tissues. These findings provide an experimental and analytical framework for performing in vivo screens in immune cells and illustrate a case study for in vivo T cell screens with UMIs. |
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MeSH term(s) | Animals ; Mice ; CD8-Positive T-Lymphocytes ; Gene Knockout Techniques |
Language | English |
Publishing date | 2024-02-27 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 218343-2 |
ISSN | 1540-9538 ; 0022-1007 |
ISSN (online) | 1540-9538 |
ISSN | 0022-1007 |
DOI | 10.1084/jem.20230699 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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