| First Author | Milling LE | Year | 2024 |
| Journal | J Exp Med | Volume | 221 |
| Issue | 4 | PubMed ID | 38411617 |
| Mgi Jnum | J:353871 | Mgi Id | MGI:7714500 |
| Doi | 10.1084/jem.20230699 | Citation | Milling LE, et al. (2024) Framework for in vivo T cell screens. J Exp Med 221(4) |
| abstractText | 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. |
