followed by Oil Red ‘O’ and PASH stains, per the manufacturer’s protocol (Richard Allan Scientific, Kalamazoo, MI). For osteo- genic differentiation, media was supplemented for 2 weeks with 50 mM Ascorbic acid, 0.1 mM Dexamethasone, and 10 nM beta- Glycerolphosphate (Sigma-Aldrich, St. Louis, MO) and staining with Alizarin Red S, per the manufacturer’s protocol (Sigma- Aldrich, St. Louis, MO). Supporting Information Table S1 Table of primers used in TILDA qPCR. KPNA6, POLR2A and UBC were used as internal controls. Found at: doi:10.1371/journal.pone.0010696.s001 (0.06 MB DOC) Figure S1 Renal developmental genes are down-regulated in ccRCC. The large heatmap shows differential expression of transcription factors between ccRCC and normal renal samples. The smaller heatmap highlights clustering of down-regulated renal developmental transcription factors (GATA3, TFAP2B, DMRT2, and TFCP2L1) in a subcluster. Upregulation of genes is indicated in red, downregulation is indicated in green, and a similar expression is indicated in black, as generated by Cluster 3.0. Found at: doi:10.1371/journal.pone.0010696.s002 (0.69 MB TIF) Figure S2 An adipogenic gene expression signature of ccRCC is elucidated. Normal denotes normal renal samples. Gene expres- sion data are from a publicly available database, GSE#15641, deposited at Gene Expression Omnibus (GEO). Details on the References 1. Jemal A, Siegel R, Ward E, Hao Y, Xu J, et al. (2009) Cancer Statistics, 2009. CA Cancer J Clin 59: 225–249. 2. Cheville JC, Lohse CM, Zincke H, Weaver AL, Blute ML (2003) Comparisons of outcome and prognostic features among histologic subtypes of renal cell carcinoma. Am J Surg Pathol 27: 612–624. 3. Eble J, Sauter G, Epstein J, eds (2004) Tumors of the kidney. Lyon, France: IARC Press;2004. 4. Rezende RB, Drachenberg CB, Kumar D, Blanchaert R, Ord RA, et al. 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