A semiquantitative polymerase chain reaction assay was used to monitor the blood levels of Epstein-Barr virus (EBV)-DNA in 9 patients receiving allogeneic bone marrow transplants (BMT). Four of 5 recipients of HLA-mismatched T-cell–depleted grafts showed a 4- to 5-log increase of EBV-DNA within 1 to 3 months after BMT. Administration of 2 to 4 infusions of 107 EBV-specific cytotoxic T-lymphocytes (CTLs)/m2 starting from the time of maximal virus load resulted in a 2- to 3-log decrease of virus titers in 3 patients. One patient, who received a T-cell culture lacking a major EBV-specific component, progressed to fatal EBV-positive lymphoma. Administration of EBV-CTLs before the onset of the EBV-DNA peak resulted in stabilization of the virus titers within 2 to 3 logs above the normal levels in the fifth patient. A moderate increase of virus titers was also detected in 3 of 4 patients receiving unmanipulated HLA-matched grafts, whereas 1 patient with Wiskott-Aldrich syndrome reached a 5-log increase of EBV-DNA load within 70 days after BMT. Our results suggest that a rapid increase of circulating EBV-DNA occurs in the absence of EBV-specific T-cell precursors or in the presence of congenital immune defects that prevent the reestablishment of virus-specific immunity. Prophylactic administration of EBV-CTLs early after BMT appears to provide the most effective protection against the development of EBV-associated lymphoproliferative disease.

The observed intercellular heterogeneity within a clonal cell population can be mapped as dynamical states clustered around an attractor point in gene expression space, owing to a balance between homeostatic forces and stochastic fluctuations. These dynamics have led to the cancer cell attractor conceptual model, with implications for both carcinogenesis and new therapeutic concepts. Immortalized and malignant EBV-carrying B-cell lines were used to explore this model and characterize the detailed structure of cell attractors. Any subpopulation selected from a population of cells repopulated the whole original basin of attraction within days to weeks. Cells at the basin edges were unstable and prone to apoptosis. Cells continuously changed states within their own attractor, thus driving the repopulation, as shown by fluorescent dye tracing. Perturbations of key regulatory genes induced a jump to a nearby attractor. Using the Fokker-Planck equation, this cell population behavior could be described as two virtual, opposing influences on the cells: one attracting toward the center and the other promoting diffusion in state space (noise). Transcriptome analysis suggests that these forces result from high-dimensional dynamics of the gene regulatory network. We propose that they can be generalized to all cancer cell populations and represent intrinsic behaviors of tumors, offering a previously unidentified characteristic for studying cancer.cancer cell attractor | cell heterogeneity | edge cells | gene regulatory network | cell population dynamics

Using reverse transcription of whole cellular RNA and nested PCR, we have performed experiments mixing different proportions of Epstein-Barr virus (EBV)-carrying and EBV-negative cells. Based on the results, a method that detects viral transcripts for EBNA-1, EBNA-2, LMP1, and LMP2a from less than one positive cell among 10 5 negative cells was developed. With this method we have shown that the EBV DNA positive cells among small, high-density peripheral blood B-lymphocytes of normal healthy persons express EBNA-1-mRNA but not EBNA-2 or LMP1. A similar EBV expression pattern is found in type I Burkitt lymphoma cells. We suggest that the expression pattern in the lymphoma cells reflects the viral strategy in normal resting B cells and meets the requirements of latent persistence.

The six Epstein-Barr virus (EBV) nuclear antigen proteins show characteristic size variations between different virus isolates; this is a feature that has been used to identify the source of virus isolates in epidemiological studies (Ebnotyping). We have now studied the correlation between restriction fragment length polymorphisms (RFLPs) within exons coding for the EBNAs and the molecular masses of the respective proteins. The B95-8 EBV strain was used as the prototype virus. The variation in apparent molecular mass of EBNA-1, -3 and -6 correlated positively with the size of RFLP coding for repeat sequences in these polypeptides. For EBNA-2, no correlation between apparent molecular mass and length of the repetitive sequences was found. The EBNA-4 protein showed virtually no variation in apparent molecular mass and RFLP size across the repeat sequence. Based on the strong correlation between apparent molecular mass and RFLP size for EBNA-6, we developed an EBNA-6 PCR assay that discriminated between different isolates of EBV. This assay offers the advantage of EBV characterization using uncultured material (e.g. throat washings, blood or biopsies), thus avoiding the selection against poorly transforming strains that occurs during establishment of lymphoblastoid cell lines required for Ebnotyping at the protein level.

Both Epstein-Barr virus (EBV) type A and type B, and variants of type A, were identified simultaneously by polymerase chain reaction (PCR) amplification of a DNA region coding for a 13 amino acid repeat in the Epstein-Barr virus nuclear antigen (EBNA) 6. Whereas this region varies extensively in type A isolates, no variation was seen in type B isolates. When a repetitive region in the LMP1-coding region was amplified by PCR, it was possible to distinguish individual variants of type B isolates from each other. Forty-two saliva samples from HIV-1-carrying individuals were examined for the presence of type A and type B virus. Both types and multiple variants of each type were found with a much higher frequency than in the saliva samples from healthy individuals. Type A EBV alone was detected in mouthwash samples from 6 infectious mononucleosis (IM) patients. Both type A and B were detected in the peripheral blood B-lymphocytes (PBL) from 1 healthy individual. The same type A variant was demonstrated both in PBL and in the mouthwash sample from another healthy individual. In this study it was shown that a combination of the EBNA 6- and LMP 1-specific PCRs followed by Southern hybridisation can be used to identify both type A and type B virus, as well as to distinguish between multiple variants of the same strain, in saliva and B-cells from both healthy and immunosuppressed individuals.

The family of repeats (FR) is a major upstream enhancer of the Epstein-Barr virus (EBV) latent C promoter (Cp) that controls transcription of six different latent nuclear proteins following interaction with the EBV nuclear protein EBNA1. Here, it was shown that Cp could also be activated by octamer-binding factor (Oct) proteins. Physical binding to the FR by the cellular transcription factors Oct-1 and Oct-2 was demonstrated by using an electrophoretic mobility-shift assay. Furthermore, Oct-1 in combination with co-regulator Bob.1, or Oct-2 alone, could drive transcription of a heterologous thymidine kinase promoter linked to the FR in both B cells and epithelial cells. Cp controlled by the FR was also activated by binding of Oct-2 to the FR. This may have direct implications for B cell-specific regulation of Cp.

Background: The Epstein-Barr virus is widespread in all human populations and is strongly associated with human disease, ranging from infectious mononucleosis to cancer. In infected cells the virus can adopt several different latency programs, affecting the cells' behaviour. Experimental results indicate that a specific genetic switch between viral latency programs, reprograms human B-cells between proliferative and resting states. Each of these two latency programs makes use of a different viral promoter, Cp and Qp, respectively. The hypothesis tested in this study is that this genetic switch is controlled by both human and viral transcription factors; Oct-2 and EBNA-1. We build a physico-chemical model to investigate quantitatively the dynamical properties of the promoter regulation and experimentally examine protein level variations between the two latency programs.

B lymphocytes have been identified as the main reservoir of latent Epstein‐Barr virus (EBV) in healthy virus carriers. We have established a semi‐quantitative PCR method to estimate the EBV genome load in the blood B‐cell subpopulation in healthy individuals. EBV DNA was detected in subfractionated IgM‐, IgG‐ and IgA‐positive B cells. Between 80% and 90% of the viral DNA was found in the IgA‐positive compared with the IgA‐negative fraction. Int. J. Cancer 83:50–54, 1999. © 1999 Wiley‐Liss, Inc.