Supporting Material and Methods DEN-mouse model For our experiments we used male C3H/He mice because of their susceptibility to liver cancer (1, 2). Mice were obtained from Harlan Winkelmann GmbH, Germany. The induction of liver tumors in male C3H/He mice was initiated at age 6 weeks by a single i.p. injection of DEN (90 µg/kg). Mice were fed with a PB (0.07% w/w) containing standard diet, starting 2 weeks after DEN intoxication. Animals were sacrificed and tumors prepared at week 32, 37, 42, and 56. Control animals were fed only with standard diet (ssniff PS M-Z obtained from ssniff Spezialdiäten GmbH, Germany) and sacrificed at different points in time (11, 16 and 42 weeks). The study protocol was approved by the public health department of Austria (approval No: GZ 66.010 – 27). Pathohistological examination and micro-dissection Liver and tumor tissues were either snap frozen and stored in liquid nitrogen or fixed in formaldehyde (8% buffered formaldehyde solution) and embedded in paraffin. Dewaxed sections (3 m) were stained with hematoxylin and eosin (H&E) following standard procedures and evaluated by light microscopy by a pathologist (C.L.) for the presence of liver tumors. The tumors were classified into hepatocellular neoplasias resembling adenomas or carcinomas based on published criteria (3). Cryosections were stained with H&E and examined for the presence and location of lesions. Tumor as well as normal tissue samples were collected from hematoxylin stained parallel sections by laser microdissection using the PALM Laser Micro-dissection and Pressure Catapulting (LMPC) system (Zeiss, Vienna, Austria) according to previously published protocols (4). Mouse whole genome amplification The laser micro-dissected lesions frequently consisted of approximately 500-1.000 cells. The obtained DNA was not sufficient for subsequent analyses. Therefore, we subjected the extracted DNA to unbiased whole genome amplification employing the GenomePlex Single Cell WGA-Kit (#WGA-4, Sigma-Aldrich, Vienna, Austria) as described previously (4, 5). Quality control of the amplified DNA was performed by multiplex PCR according to a protocol for human DNA (6), which we had adapted for mice samples (5). Array-CGH Test DNA and reference mouse DNA were labeled with different fluorescent dyes (Cy3 and Cy5, respectively) and co-hybridized on 4x44K Agilent mouse arrays. The reference DNA, derived from the same mouse strain, i.e. C3H/He (JaxLab #000659), was also amplified using the GenomePlex Single Cell WGA-Kit. In all array-CGH analyses sex mismatched reference DNA was used, i.e. the tumor DNA was always derived from male animals, whereas the reference DNA was always female. The feature extraction program calculates log2 ratios between green (Cy3) and red (Cy5) fluorescence. Subsequently, the Genomic workbench 5.0.14 program was used for analysis and visual representation of gains and losses (amplifications and deletions) in the test DNA (for details see 5). The Genome workbench 5.0.14 settings were as follows: aberration algorithm ADM-2, threshold 6.0, Fuzzy Zero: OFF, aberration filter: minimum number of probes = 5 and minimum average absolute log2 ratio = 0.27, corresponding to a fold change of 1.21. Evaluation by GISTIC (Genomic Identification of Significant Targets in Cancer) GISTIC is designed for analyzing chromosomal aberrations in cancer (7). GISTIC calculates statistical significance of copy number aberrations obtained by array-CGH. GISTIC results are represented graphically by plots and also as text files containing the lists of significantly deleted and amplified genes. As the original program had only existed for human array-CGH files, we adapted it for Agilent text input files and for the mouse genome. Mutation screening -catenin and H-Ras We analyzed exon 3 in the β-catenin gene and codon 61 in the H-Ras gene by traditional capillary sequencing. The same amplified DNA which we had applied for array-CGH was used for this analysis. Immunohistochemistry for -catenin and Ki67 We performed immunohistochemistry on formalin fixed paraffin embedded liver sections derived from 32 and 56 week-old DEN-treated mice with antibodies directed against βcatenin (rabbit-monoclonal, dilution 1:100; Abcam, Cat. No: ab32572) and the nuclearprotein Ki67 (rabbit-monoclonal, dilution 1:200; Abcam, Cat. No: ab15580) as a proliferation marker. For both IHC staining experiments the slides were incubated with the primary antibody for 1 hour at room temperature (RT). As secondary antibody we applied Envision+System HRP labelled polymer (anti-rabbit; Dako, Cat. No: 400211) for 30 min at RT. Detection was done with DAB for 10min (β -catenin staining) and 5 min (Ki67 staining). The areas of highest density β-catenin and Ki67-positive nuclei were selected and positive nuclei were counted in 3 High Power Field (Olympus BH-2, field diameter 0,625 mm) in tumors and non-neoplastic liver tissue. For the statistical analysis we used Kruskal Wallis Test and Mann Withney U Test. References 1. Drinkwater NR, Ginsler JJ. Genetic control of hepatocarcinogenesis in C57BL/6J and C3H/HeJ inbred mice. Carcinogenesis 1986;7:1701-1707. 2. Poole TM, Drinkwater NR. Strain dependent effects of sex hormones on hepatocarcinogenesis in mice. Carcinogenesis 1996;17:191-196. 3. Hacker HJ, Mtiro H, Bannasch P, Vesselinovitch SD. Histochemical profile of mouse hepatocellular adenomas and carcinomas induced by a single dose of diethylnitrosamine. Cancer Res 1991;51:1952-1958. 4. Geigl JB, Speicher MR. Single-cell isolation from cell suspensions and whole genome amplification from single cells to provide templates for CGH analysis. Nat Protoc 2007;2:3173-3184. 5. Begus-Nahrmann Y, Lechel A, Obenauf AC, Nalapareddy K, Peit E, Hoffmann E, Schlaudraff F, et al. p53 deletion impairs clearance of chromosomal-instable stem cells in aging telomere-dysfunctional mice. Nat Genet 2009;41:1138-1143. 6. van Beers EH, Joosse SA, Ligtenberg MJ, Fles R, Hogervorst FB, Verhoef S, Nederlof PM. A multiplex PCR predictor for aCGH success of FFPE samples. Br J Cancer 2006;94:333-337. 7. Beroukhim R, Getz G, Nghiemphu L, Barretina J, Hsueh T, Linhart D, Vivanco I, et al. Assessing the significance of chromosomal aberrations in cancer: methodology and application to glioma. Proc Natl Acad Sci U S A 2007;104:20007-20012.