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HEPATOLOGY, VOLUME 62, NUMBER 1 (SUPPL) AASLD ABSTRACTS 457A<br />

Inherited severe unconjugated hyperbilirubinemia is known as<br />

Crigler-Najjar syndrome (CN). CN is characteristically caused<br />

by deficiency of UDP-glucuronosyl transferase 1A1 (UGT1A1),<br />

encoded by the UGT1A1 gene. This enzyme is responsible<br />

for glucuronidation of bilirubin needed to excrete this toxic<br />

compound via the bile. The severity of inherited unconjugated<br />

hyperbilirubinemia depends on the residual UGT1A1 activity<br />

and can be described as a spectrum from complete absence<br />

(CN type 1) or some activity (CN type 2) to 30% of residual<br />

activity as seen in the benign Gilbert syndrome. In CN<br />

patients with residual UGT1A1 activity a reduction of serum<br />

bilirubin levels can be achieved by phenobarbital administration<br />

that results in transcriptional induction of UGT1A1 via<br />

activation of the Constitutive Androstane Receptor (CAR). We<br />

analyzed the UGT1A1 promoter sequence of a patient with<br />

severe unconjugated hyperbilirubinemia suspected for CN type<br />

2, but unresponsive to phenobarbital treatment and without<br />

clarifying mutation in the UGT1A1 coding region. Besides an<br />

extra TA repeat in the TATA box, we disclosed a homozygous<br />

three nucleotide (3nt) insertion on position -85 to -83 of the<br />

proximal promoter, corresponding with the HNF1α binding<br />

site. We generated UGT1A1 promoters with all different mutations<br />

and cloned them upstream of a luciferase reporter gene<br />

to perform functional <strong>studies</strong>. The insertion of this 3nt in the<br />

HNF1α binding site resulted in a >95% reduction of promoter<br />

activity, independent of the extra TA-repeat in the TATA-box. In<br />

addition, this insertion rendered the promoter unresponsive to<br />

the induction by phenobarbital via CAR and rifampicin via the<br />

Pregnane X Receptor (PXR), thereby explaining the intermediate<br />

CN phenotype of this patient. In conclusion, disruption of the<br />

HNF1α binding site in the promoter of a liver specific gene<br />

such as UGT1A1 is for the first time demonstrated to have a<br />

major impact on gene expression in man and may result in<br />

severe liver disorder.<br />

Disclosures:<br />

Robert J. de Knegt - Advisory Committees or Review Panels: Roche, Norgine,<br />

Janssen Cilag, AbbVie; Grant/Research Support: Roche, Janssen Cilag, BMS,<br />

AbbVie; Speaking and Teaching: Gilead, Roche, Janssen Cilag, AbbVie<br />

Ulrich Beuers - Consulting: Intercept via University of Amsterdam, Novartis via<br />

University of Amsterdam; Grant/Research Support: Falk, Zambon; Speaking and<br />

Teaching: Falk Foundation, Gilead, Roche, Shire<br />

The following authors have nothing to disclose: Remco van Dijk, Isabel<br />

Mayayo-Peralta, Sem J. Aronson, Anja A. Kattentidt-Mouravieva, Vincent van<br />

der Mark, Nevin Oruç, Piter J. Bosma<br />

493<br />

MicroRNA-122 (miR-122) Regulates Polyploidy in the<br />

Liver<br />

Shu-hao Hsu 1 , Evan Delgado 1 , P. A. Otero 1 , Kolin Meehan 1 , Justin<br />

B. Moroney 1 , Kun-Yu Teng 2 , Kalpana Ghoshal 2 , Andrew W.<br />

Duncan 1 ; 1 Department of Pathology, McGowan Institute for Regenerative<br />

Medicine, University of Pittsburgh, Pittsburgh, PA; 2 Department<br />

of Pathology, Comprehensive Cancer Center, The Ohio State<br />

University, Columbus, OH<br />

A defining feature of the mammalian liver is polyploidy, a<br />

numerical change in the entire complement of chromosomes.<br />

Hepatocytes are either mononucleate or binucleate, and<br />

ploidy is determined by the number of nuclei/cell, as well as<br />

the ploidy of each nucleus. The first step of polyploidization<br />

involves cell division with failed cytokinesis. Although polyploidy<br />

is common, affecting ~90% of hepatocytes in mice and<br />

50% in humans, the specialized role played by polyploid cells<br />

in liver homeostasis and disease remains poorly understood.<br />

The goal of this study was to identify novel signals that regulate<br />

polyploidization, and we focused on microRNAs (miR-<br />

NAs). First, to test whether miRNAs could regulate hepatic<br />

polyploidy we examined livers from Dicer1 knockout mice,<br />

which are devoid of mature miRNAs. Loss of miRNAs resulted<br />

in a 3-fold reduction in binucleate hepatocytes, indicating that<br />

miRNAs could indeed regulate polyploidization. Secondly, we<br />

surveyed age-dependent expression of >500 miRNAs (NanoString)<br />

in wild type mice and identified a subset of miRNAs,<br />

including miR-122, differentially expressed at 2-3 weeks, a<br />

period when extensive polyploidization occurs. Thirdly, we<br />

examined Mir122 knockout mice and observed profound, lifelong<br />

depletion of polyploid hepatocytes, proving that miR-122<br />

is required for complete hepatic polyploidization. Next, we<br />

identified direct targets of miR-122, Cux1, Iqgap1, Mapre1,<br />

Nedd4l and Slc25a34, that regulate cytokinesis. Inhibition of<br />

each target induced cytokinesis failure and promoted hepatic<br />

binucleation. Finally, to validate the relevance of these targets<br />

to liver disease, we examined expression in a subset of human<br />

hepatocellular carcinomas (HCC) with reduced miR-122. Consistent<br />

with the mouse data, target expression was inversely<br />

proportional to miR-122. In summary, our data suggest a novel<br />

regulatory role for miR-122 in liver polyploidization. Moreover,<br />

differential expression of miR-122 targets in HCC provides new<br />

insights into miR-122-mediated tumorigenesis. These <strong>studies</strong><br />

will serve as the foundation for future work investigating miR-<br />

122 and polyploidy in lipid metabolism, viral infection, tumorigenesis<br />

and regeneration.<br />

Disclosures:<br />

The following authors have nothing to disclose: Shu-hao Hsu, Evan Delgado, P.<br />

A. Otero, Kolin Meehan, Justin B. Moroney, Kun-Yu Teng, Kalpana Ghoshal,<br />

Andrew W. Duncan<br />

494<br />

Overexpression Screening to Discover Gene-Gene Interactions<br />

that Drive Hepatocellular Carcinoma<br />

Monica Teta-Bissett 1 , Kirk J. Wangensteen 1,2 , Klaus H. Kaestner 1 ;<br />

1 Genetics, University of Pennsylvania, Philadelphia, PA; 2 Gastroenterology,<br />

University of Pennsylvania, Philadelphia, PA<br />

Hepatocellular carcinoma (HCC) is the third leading cause<br />

of cancer death worldwide, and one of the top ten in the<br />

United States according to the Global Cancer Statistics and<br />

the US CDC, respectively. Sorafenib, a small molecule targeting<br />

receptor tyrosine kinases, is the only drug approved for<br />

treatment of advanced HCC in the United States. In order to<br />

determine the relative contribution of HCC candidate genes in<br />

HCC formation and growth, we developed an overexpression<br />

model to screen multiple gene combinations simultaneously<br />

during liver tumor formation. A pooled plasmid library of 34<br />

constructs, each designed to express the FAH gene plus a different<br />

cancer-related gene of interest, was delivered into the<br />

liver of Fah-null mice by hydrodynamic tail vein injection. The<br />

constructs allowed for constitutive expression of FAH, rescuing<br />

the tyrosinemia of Fah-null mice, and creating repopulation<br />

nodules overexpressing random combinations of the genes<br />

within the plasmids. The mouse livers were riddled with tumors<br />

at four and six months following library injection. More than<br />

20 unique tumors were dissected and the tumor phenotypes<br />

were characterized using hematoxylin and eosin staining and<br />

immunohistochemistry for Osteopontin (Opn) on serial sections.<br />

DNA was extracted from unique tumors and, by high-throughput<br />

sequencing of unique 5-nucleotide barcodes attached to<br />

each of the expression plasmids, the profiles of the exogenous<br />

DNA constructs was compiled. We found that c-myc<br />

was linked to all of the tumors that were tested, indicating<br />

that it was a consistent driver of tumor growth in this system.<br />

TGFα, Foxa3, Akt, Met and Nr1h3 were among other factors<br />

detected to drive tumor growth. Interestingly, the combination

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