Nature BiotechnologyImmunologyPeer-reviewed journal article
Virus-like particles enable targeted gene engineering and pooled CRISPR screening in primary human myeloid cells
Hyuncheol JungiD, Pascal DevantiD, Carter ChingiD, Mineto OtaiD, Emma DanniD, Ronghui ZhuiD, Chandrima Modak, Ana Vasquez-Ibarra, Jennifer R. HamiltoniD, Zachary SteinhartiD, Wayne NgoiD, Luis R Sandoval, Jae Hyung JungiD, Jae Hyun J. LeeiD, Da XuiD, Meirui AniD, Esha Urs, Peixin Amy CheniD, Vincent AllainiD, Takuya TadaiD, Luke A. GilbertiD, Brian Rudolph ShyiD, Jonathan K. PritchardiD, James K. NuñeziD, Nathaniel Roy LandauiD, , Julia C. CarnevaleiD
Abstract
Primary human myeloid cells are promising candidates for immunotherapy, yet efficient and scalable technologies for genetic engineering and screening in these cells are limited. Here we present a virus-like particle (VLP)-based toolkit that delivers diverse CRISPR genome editing modalities to human monocytes, macrophages, and dendritic cells with high efficiency while preserving viability and innate immune responsiveness. VLP-mediated delivery of ribonucleoprotein payloads supports gene knockout, base editing and epigenetic silencing, and enables site-specific integration of large DNA sequences when combined with AAV donors for homology-directed repair. Leveraging sgRNA delivery via VPX-lentivirus combined with Cas9 protein delivery via engineered virus-like particle (eVLP) treatment ("SLICeVLP"), we performed the first pooled loss-of-function screens in human macrophages. We uncovered regulators of TNF production and CD80 expression in human macrophages, converging on TNFAIP3 as a central regulator of inflammatory polarization. TNFAIP3 ablation promoted a pro-inflammatory cell state that is resistant to suppressive polarization, and augmented cytotoxicity of engineered HER2 CAR-macrophages. Taken together, this technology platform enables unbiased discovery and characterization of functional gene targets in primary human myeloid cells.
- organism: human
- assay: CRISPR screen
- research focus: gene regulatory network inference
- research focus: cell type annotation
- approach: experimental assay
- Citations
- 5
- FWCI
- 8.27
- Field percentile
- top 3%
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