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Dissecting Epstein-Barr Virus Dependence Across Diverse Infected Cell Models.

Publication ,  Journal Article
Bartlett, A; Krejdovsky, C; Yang, G; Barry, AP; Oduor, C; Bailey, JA; Moormann, AM; Sato, Y; Luftig, MA
Published in: bioRxiv
December 19, 2025

Epstein-Barr virus (EBV) is maintained clonally in a wide array of tumors and cells of lymphoproliferative disorders, yet the degree to which these infected cells continuously depend on EBV remains unresolved. To directly assess EBV dependence, we used two complementary Cas9-based viral eviction strategies: 1) targeting EBNA1 to promote episome dilution during cell division, and 2) targeting repetitive viral genomic regions to rapidly degrade EBV episomes. Using these approaches, we evaluated EBV-loss sensitivity across newly-derived, phenotypically diverse EBV-positive Burkitt lymphoma lines. We also evaluated cell lines from patients with EBV-associated T/NK and epithelial malignancies. We included the Burkitt Lymphoma cell line, Akata-GFP, as our EBV-loss-tolerant control and a lymphoblastoid cell line as our EBV-loss-sensitive control. We observed EBV-loss sensitivity in all the EBV-positive Burkitt Lymphoma cell lines and the chronic active EBV disease cell line. In contrast, the EBV-positive gastric adenocarcinoma lines were markedly less sensitive to EBV loss. EBV latency type did not predict EBV dependence, indicating that viral gene expression programs alone do not dictate reliance on the virus. These findings demonstrate that EBV dependence is prevalent across multiple EBV-associated disease models and is especially pronounced in early-state or newly derived lymphoid malignancies.

Duke Scholars

Published In

bioRxiv

DOI

EISSN

2692-8205

Publication Date

December 19, 2025

Location

United States
 

Citation

APA
Chicago
ICMJE
MLA
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Bartlett, A., Krejdovsky, C., Yang, G., Barry, A. P., Oduor, C., Bailey, J. A., … Luftig, M. A. (2025). Dissecting Epstein-Barr Virus Dependence Across Diverse Infected Cell Models. BioRxiv. https://doi.org/10.64898/2025.12.19.695354
Bartlett, Alexandria, Camille Krejdovsky, Guang Yang, Ashley P. Barry, Cliff Oduor, Jeffrey A. Bailey, Ann M. Moormann, Yoshitaka Sato, and Micah A. Luftig. “Dissecting Epstein-Barr Virus Dependence Across Diverse Infected Cell Models.BioRxiv, December 19, 2025. https://doi.org/10.64898/2025.12.19.695354.
Bartlett A, Krejdovsky C, Yang G, Barry AP, Oduor C, Bailey JA, et al. Dissecting Epstein-Barr Virus Dependence Across Diverse Infected Cell Models. bioRxiv. 2025 Dec 19;
Bartlett, Alexandria, et al. “Dissecting Epstein-Barr Virus Dependence Across Diverse Infected Cell Models.BioRxiv, Dec. 2025. Pubmed, doi:10.64898/2025.12.19.695354.
Bartlett A, Krejdovsky C, Yang G, Barry AP, Oduor C, Bailey JA, Moormann AM, Sato Y, Luftig MA. Dissecting Epstein-Barr Virus Dependence Across Diverse Infected Cell Models. bioRxiv. 2025 Dec 19;

Published In

bioRxiv

DOI

EISSN

2692-8205

Publication Date

December 19, 2025

Location

United States