LMP1 and EBNA2 constitute a minimal set of EBV genes for transformation of human B cells.

B cell lymphoma EBV latent genes Epstein-Barr nuclear antigen 2 (EBNA2) Epstein-Barr virus (EBV) latent membrane protein 1 (LMP1) lymphoblastoid cell line (LCL) lymphomagenesis transduction of human primary B cells

Journal

Frontiers in immunology
ISSN: 1664-3224
Titre abrégé: Front Immunol
Pays: Switzerland
ID NLM: 101560960

Informations de publication

Date de publication:
2023
Historique:
received: 01 11 2023
accepted: 04 12 2023
medline: 4 1 2024
pubmed: 4 1 2024
entrez: 3 1 2024
Statut: epublish

Résumé

Epstein-Barr virus (EBV) infection in humans is associated with a wide range of diseases including malignancies of different origins, most prominently B cells. Several EBV latent genes are thought to act together in B cell immortalization, but a minimal set of EBV genes sufficient for transformation remains to be identified. Here, we addressed this question by transducing human peripheral B cells from EBV-negative donors with retrovirus expressing the latent EBV genes encoding Latent Membrane Protein (LMP) 1 and 2A and Epstein-Barr Nuclear Antigen (EBNA) 2. LMP1 together with EBNA2, but not LMP1 alone or in combination with LMP2A was able to transform human primary B cells. LMP1/EBNA2-immortalized cell lines shared surface markers with EBV-transformed lymphoblastoid cell lines (LCLs). They showed sustained growth for more than 60 days, albeit at a lower growth rate than EBV-transformed LCLs. LMP1/EBNA2-immortalized cell lines generated tumors when transplanted subcutaneously into severely immunodeficient NOG mice. Our results identify a minimal set of EBV proteins sufficient for B cell transformation.

Identifiants

pubmed: 38169736
doi: 10.3389/fimmu.2023.1331730
pmc: PMC10758421
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1331730

Informations de copyright

Copyright © 2023 Zhang, Sommermann, Li, Gieselmann, de la Rosa, Stecklum, Klein, Kocks and Rajewsky.

Déclaration de conflit d'intérêts

Author MS was employed by the company Experimental Pharmacology and Oncology EPO Berlin-Buch GmbH. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Jingwei Zhang (J)

Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Immune Regulation and Cancer, Berlin, Germany.

Thomas Sommermann (T)

Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Immune Regulation and Cancer, Berlin, Germany.

Xun Li (X)

Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Immune Regulation and Cancer, Berlin, Germany.

Lutz Gieselmann (L)

Laboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
German Center for Infection Research (DZIF), Partner Site Bonn-Cologne, Cologne, Germany.

Kathrin de la Rosa (K)

Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Immune Mechanisms and Human Antibodies, Berlin, Germany.
Berlin Institute of Health (BIH) at Charité, Center of Biological Design, Berlin, Germany.

Maria Stecklum (M)

Experimental Pharmacology and Oncology (EPO) Berlin-Buch GmbH, Berlin, Germany.

Florian Klein (F)

Laboratory of Experimental Immunology, Institute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
German Center for Infection Research (DZIF), Partner Site Bonn-Cologne, Cologne, Germany.
Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany.

Christine Kocks (C)

Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Immune Regulation and Cancer, Berlin, Germany.

Klaus Rajewsky (K)

Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Immune Regulation and Cancer, Berlin, Germany.

Classifications MeSH