Normal epidermal differentiation but impaired skin-barrier formation upon keratinocyte-restricted IKK1 ablation.

The kinase IKK1 (also known as IKKalpha) was previously reported to regulate epidermal development and skeletal morphogenesis by acting in keratinocytes to induce their differentiation in an NF-kappaB independent manner. Here, we show that mice with epidermal keratinocyte-specific IKK1 ablation (hereafter referred to as IKK1(EKO)) develop a normally differentiated stratified epidermis, demonstrating that the function of IKK1 in inducing epidermal differentiation is not keratinocyte-autonomous. Despite normal epidermal stratification, the IKK1(EKO) mice display impaired epidermal-barrier function and increased transepidermal water loss, due to defects in stratum corneum lipid composition and in epidermal tight junctions. These defects are caused by the deregulation of retinoic acid target genes, encoding key lipid modifying enzymes and tight junction proteins, in the IKK1-deficient epidermis. Furthermore, we show that IKK1-deficient cells display impaired retinoic acid-induced gene transcription, and that IKK1 is recruited to the promoters of retinoic acid-regulated genes, suggesting that one mechanism by which IKK1 controls epidermal-barrier formation is by regulating the expression of retinoic acid receptor target genes in keratinocytes.

MicroRNA-194 is a target of transcription factor 1 (Tcf1, HNF1α) in adult liver and controls expression of frizzled-6.

UNLABELLED: Transcription factor 1 (Tcf1; hepatocyte nuclear factor 1α [HNF1α]) is critical for hepatocyte development and function. Whether Tcf1 also regulates hepatic microRNAs (miRNAs) has not been investigated yet. Here we analyzed Tcf1-dependent miRNA expression in adult mice in which this transcription factor had been genetically deleted (Tcf1(-/-) ) using miRNA microarray analysis. The miR-192/-194 cluster was markedly down-regulated in liver of Tcf1(-/-) mice. MiR-192/-194 levels were also decreased in two other tissues that express Tcf1, kidney and small intestine, although to a lesser extent than in liver. In order to identify targets of miR-192/-194 in vivo we combined Affymetrix gene analysis of liver in which miR-192/-194 had been silenced or overexpressed, respectively, and tested regulated messenger RNAs (mRNAs) with multiple binding sites for these miRNAs. This approach revealed frizzled-6 (Fzd6) as a robust endogenous target of miR-194. MiR-194 also targets human FZD6 and expression of miR-194 and Fzd6 are inversely correlated in a mouse model of hepatocellular carcinoma (Dgcr8(flox/flox) p53(flox/flox) × Alb-Cre). CONCLUSION: Our results support a role of miR-194 in liver tumorigenesis through its endogenous target Fzd6. These results may have important implications for Tcf1-mediated liver proliferation.

A high-throughput-compatible 3D microtissue co-culture system for phenotypic RNAi screening applications.

Cancer cells in vivo are coordinately influenced by an interactive 3D microenvironment. However, identification of drug targets and initial target validations are usually performed in 2D cell culture systems. The opportunity to design 3D co-culture models that reflect, at least in part, these heterotypic interactions, when coupled with RNA interference, would enable investigations on the phenotypic impact of gene function in a model that more closely resembles tumor growth in vivo. Here we describe a high-throughput-compatible method to discover cancer gene functions in a co-culture 3D tumor microtissue model system composed of human DLD1 colon cancer cells together with murine fibroblasts. Strikingly, DLD1 cells in this model failed to expand upon siRNA-mediated depletion of Kif11/Eg5, a member of the mitotic kinesin-like motor protein family. In contrast, these cancer cells proved to be more resistant to Kif11/Eg5 depletion when grown as a 2D monolayer. These results suggest that growth of certain cancer cells in 3D versus 2D can unveil differential dependencies on specific genes for their survival. Moreover, they denote that the high-throughput-compatible, hanging drop technology-based 3D co-culture model will enable the discovery, characterization, and validation of gene functions in key biological and pathological processes.