1 Supplementary Material and Methods 2 Electrophoretic Mobility Shift Assays (EMSA) 3 PRE 4 ACAAGGGACTTTCCGCTGGGGACTTTCCAGG-3’ 5 ACAACTCACTTTCCGCTGCTCACTTTCCAGG-3’. The NF-B binding B sites are in 6 bold type and mutated bases have been underlined. Probe containing AP-1 site (Activating 7 Protein-1 8 CGCTTGATGAGTCAGCCGGAA-3’. The oligonucleotides were end-labelled with [- 9 32 and PREmut consensus (PRE site) with was a B used mutated as an site (27)) probes were: and irrelevant oligonucleotide: 5’5’- 5’- PATP (Amersham) using T4 polynucleotide kinase (Roche, Neuilly sur Seine, France). 10 Five µg of nuclear extract were preincubated in binding buffer (50 mM Tris pH7.5, 100 mM 11 NaCl, 2 mM EDTA, 1 mM dTT, 1 µg poly[d(I-C)]) for 1 hour on ice. For supershift assays, 3 12 µg isotypic irrelevant or anti-NF-B rabbit polyclonal antibodies [Oct-2 (H-120), p65 (H- 13 286), p50 (NLS), c-Rel (N), p52 (447), and RelB (C-19); Santa Cruz Biothechnology, 14 Heidelberg, Germany] were added. For competition experiments, a 50-fold molar excess of 15 unlabeled competitor oligonucleotide was used. Binding reactions were performed using 2 ng 16 [-32P-labeled probe at room temperature for 30 minutes. Samples were separated onto a 17 0.25x Tris-borate-EDTA-4% polyacrylamide gel at 150 V, dried and exposed to storage 18 Phosphor Screen (Perkin Elmer, Massachusetts, USA). Image was digitalized using the 19 CycloneTM scanner (Perkin Elmer). 20 21 Luciferase analysis 22 Analysis of Luciferase expression was done on 20 µg proteins extracted in Passive Lysis 23 Buffer (Promega, Paris, France) the using Luciferase Assay System (Promega) and TD20/20 24 luminometer (Turner Designs, CA, USA). 25 26 Immunoprecipitation 27 Proteins were extracted in RIPA lysis buffer (150 mM NaCl, 1.0% IGEPAL® CA-630, 0.5% 28 sodium deoxycholate, 0.1% SDS, and 50 mM Tris, pH 8.0) supplemented with protease and 29 phosphatase inhibitors: 200mM PMSF (Phenylmethylsulfonyl Fluoride), 100mM NA VO and a 30 protease inhibitor cocktail (Santa Cruz Biotechnology, CA, USA). P50 was immunoprecipitated 31 from 250 µg proteins using: 4 µg rabbit polyclonal antibody anti-p50 (sc-114, Santa Cruz 32 Biotechnology) and 100 µL μMACS™ Protein A MicroBeads (Myltenyl Biotech, Cologne, 33 Germany). Then, immunoprecipitated proteins were separated through μcolumn according to the 34 manufacturer’s protocol (Miltenyl Biotech). 3 4 35 36 Western-blot 37 The antibodies used were anti-LMP1 (Hybridoma S12) at 1/100, anti-IB (sc-847, Santa 38 Cruz Biotechnology, CA, USA) at 1/200, anti-p65 (sc-7151, Santa Cruz Biotechnology) at 39 1/2000, anti-p100/p52 (Cell Signaling Technology, Saint Quentin Yvelines, France) at 1/700, 40 anti-RelB (sc-226, Santa Cruz Biotechnology) at 1/2000, anti-SAM68 (sc-333, Santa Cruz 41 Biotechnology) at 1/1000, and anti-αTubulin (B-5-1-2, Sigma-Aldrich, Saint Louis, USA) at 42 1/10 000. 43 44 EREB2.5 cell culture conditions for Gene expression profiling (GEP) 45 E0hEBV-72h, E6hEBV, and E24hEBV: 72 hours estradiol deprived EREB2.5 cells (E0hEBV-72h) 46 were estradiol induced for EBV-latency III program for 6 (E6hEBV), and 24 hours 47 (E24hEBV). 48 EcontEBV: EREB2.5 cells growing in continuous (cont) presence of estradiol. 49 E0hEBV-120h+Dox, and E0hEBV-120h+Dox-Luc: 120 hours estradiol deprived pRT-1- 50 Luciferase vector transfected EREB2.5 cells were NGFRt (truncated Nerve Growth Factor) 51 sorted, as previously described [1], after addition of doxycycline (+Dox) for 48 hours. 52 Positive (E0hEBV-120h+Dox-Luc) and negative (E0hEBV-120h+Dox) fractions were used for 53 GEP. 54 E0hEBV-120h+Dox-LMP1: 120 hours estradiol deprived pRT-1-LMP1 vector transfected 55 EREB2.5 cells were NGFRt sorted after addition of doxycycline (+Dox) for 48 hours. 56 Positive fraction was used for GEP. 57 EcontEBV+Dox, and EcontEBV+Dox-Luc: pRT-1-Luciferase (Luc) vector transfected EREB2.5 58 cells cultured with continuous (cont) estradiol (EBV-latency III) were NGFRt sorted after 59 addition of doxycycline (+Dox) for 48 hours. Positive (EcontEBV+Dox-Luc) and negative 60 (EcontEBV +Dox) fractions were used for GEP. 61 EcontEBV+Dox-RelA, EcontEBV+Dox-IBS32,36A, EcontEBV+Dox-RelB, and EcontEBV+Dox- 62 p100: EREB2.5 cells cultured in continuous (cont) estradiol (EBV-latency III) were stably 63 transfected with pRT-1-Luciferase (Luc), pRT-1-RelA, pRT-1-IBS32,36A, pRT-1-RelB or 64 pRT-1-p100 and then NGFRt sorted after addition of doxycycline (+Dox) for 48 hours. 65 66 Gene expression profiling (GEP) 67 Amplification of RNAs and hybridization onto microarrays were performed by the Affimetrix 68 platform. Briefly, 100 ng total RNAs were reverse-transcribed to double-stranded cDNAs that 69 were used as templates for in vitro transcription to produce amplified biotin-labelled RNAs 70 using the GeneAtlas™ 3’ IVT Express kit (Affimetrix, CA, USA). Biotin-labelled RNAs 71 were fragmented at 95oC in the presence of high magnesium concentration to prepare samples 72 for hybridization onto an Affymetrix Human genome U219 Array Strip. Hybridized RNAs 73 were stained in the Fluidics Station 400 (Affymetrix) as followed: 1.streptavidin- 74 phycoerythrin (Molecular Probes), 2.biotinylated anti-streptavidin antibody for signal 75 amplification (Vector Labs), and 3.streptavidin-phycoerythrin (Molecular Probes). The 76 distribution of fluorescent signal on the processed microarray was determined using the 77 Agilent GeneArray laser scanner (Affymetrix). 78 Before analysis, expression values were log2-transformed using RMA (Robust Microarray 79 Analysis) and gene-filtered. Briefly, probes showing minimal variation across all samples 80 were filtered out, i.e. probes with a coefficient of variation greater than 0.1 were retained. For 81 statistical analyses, the R and Bioconductor software was used. The empirical Bayesian 82 method for differential expression calculation [2] implemented in the Linear Models for 83 Microarray Analysis (LIMMA) package was used to identify genes specifically differentially- 84 expressed between two groups. For each pairwise comparison, the p-values were adjusted 85 after multiple testing corrections using the Benjamini and Hochberg method [3]. The 86 significant differentially-expressed probes were selected based on an adjusted p-value of at 87 least 0.05. We also used Significant Analysis of Microarrays (SAM) with a false discovery 88 rate of at least 0.05 [4]. The selected genes were those detected as differentially expressed by 89 SAM and/or LIMMA methods. 90 91 Method for selection of the 726 EBV up-regulated genes and the 46 RelA and/or RelB 92 regulated genes 93 We first selected EBV up-regulated genes in B-cell lines. To perform supervised analysis, the 94 different B-cell lines were divided in two groups, those in which the EBV-latency III program 95 was on or off, i.e. EBV-on or EBV-off respectively. Selected genes yielded a Cell Line-list of 96 1 550 genes up-regulated by the EBV-latency III program (Supplementary Table S1). Most of 97 these genes (1 142, 74%) were up-regulated with a fold change of at least 1.5 in estradiol 98 deprived EREB2.5 cells (E0hEBV) induced for LMP1 expression only (Supplementary Figure 99 S2 and Table S1). Secondly, comparison of EBV-DLBCL tumors (cases 1 to 8) with non- 100 tumoral reactive lymph nodes (LN n° 1 to 3) led to a Tumor-list of 3 415 genes 101 (Supplementary Table S2). Seven hundred twenty six genes were in common between both 102 Cell Line and Tumour lists (Supplementary Table S3). Thus, these 726 genes were bona fide 103 EBV-induced genes associated with transformation of EBV-related DLBCLs in humans. 104 These 726 EBV up-regulated genes were K-mean clustered [5] and analysis of biological 105 functions was performed using the GSEA molecular signatures database (Supplementary 106 Figure S3). The seven K-mean clusters correlated with the main functional categories such as 107 mitochondrion, DNA replication, cell cycle and proliferation or cytokines as well as 108 transcription factor pathways such as c-Myc, E2F1, Jun or NF-B. For the latter, most known 109 NF-B target genes such as CD80/B7.1, ICAM1/CD54 (Intercellular adhesion molecule-1), 110 EBI3/IL27B (EBV-induced gene 3), NFKBIA/IKBA (inhibitor of Rel/NF-B), IL1R2 111 (interleukin 1 receptor, type II), and TRAF1 (TNF-receptor associated factor 1) were indeed 112 K-mean clustered together. Interestingly, genes from the c-Myc, c-Jun and NF-B K-mean 113 clusters were induced early at 6 hours after estradiol exposure of EREB2.5 cells whereas 114 E2F1-regulated genes were induced later at 24 hours, which suggests that the EBV-latency III 115 program was directly responsible for activation of c-Myc, c-Jun and NF-B whereas E2F1 116 was secondarily activated. 117 RelA and RelB regulated genes were a priori segregated as follows: RelA or RelB regulated 118 genes were those that were over-expressed in E.RelA or E.RelB when compared to 119 E.IBS32,36A or E.p100 cells respectively and that were down-regulated in E.IBSS32,36A or 120 E.p100 cells respectively when compared to E.Luc cells. Intersection between the RelA and 121 RelB lists gave the genes co-dominantly regulated by RelA and RelB (Figure 5a and 122 Supplementary Table S4). Genes that were dominantly regulated by RelA (Figure 5b and 123 Supplementary Table S4) or RelB were those belonging to the RelA but no to the RelB list 124 and reciprocally. Since RelA and RelB over-expression induced the reciprocal loss of RelB 125 and RelA DNA binding activity respectively, genes very likely to be regulated by RelA or 126 RelB only were those whose expression was repressed by RelB or RelA respectively (Figure 127 5c and Supplementary Table S4). 128 129 Gene quantification with TaqMan Low Density array (TLDA) 130 Relative quantities (RQ) of gene expressions were calculated according to 2-DDCT method, 131 where DDCT is the delta delta cycle threshold, using the ExpressionSuite software version 132 1.0.1 (Life Technologies). References are annotated on Supplementary Figure S5 and S6. The 133 18S and ACTB genes were used as endogenous control genes (TaqMan Assay references: 134 18S-Hs99999901_s1 and ACTB-Hs01060665_g1). All amplification steps were performed in 135 duplicate. RQ of gene expressions were calculated as the ratio of the test biological group to 136 its reference control group according to experiments. RQ minimum and maximum values 137 were calculated with 95% confidence levels and used to calculate the standard error and p- 138 value which is the probability that RQ ≠1 is not due to chance. 139 140 References 141 1 Le Clorennec C, Youlyouz-Marfak I, Adriaenssens E, Coll J, Bornkamm GW, Feuillard J. 142 EBV latency III immortalization program sensitizes B cells to induction of CD95-mediated 143 apoptosis via LMP1: role of NF-kappaB, STAT1, and p53. Blood 2006; 107:2070–2078. 144 2 Smyth GK, Michaud J, Scott HS. Use of within-array replicate spots for assessing 145 differential expression in microarray experiments. Bioinforma Oxf Engl 2005; 21:2067– 146 2075. 147 148 3 Reiner-Benaim A. 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