Geetu Tuteja

Foxa1 and Foxa2 Are Essential for Sexual Dimorphism in Liver Cancer

Hepatocellular carcinoma (HCC) is sexually dimorphic in both rodents and humans, with significantly higher incidence in males, an effect that is dependent on sex hormones. The molecular mechanisms by which estrogens prevent and androgens promote liver cancer remain unclear. Here, we discover that sexually dimorphic HCC is completely reversed in Foxa1- and Foxa2-deficient mice after diethylnitrosamine-induced hepatocarcinogenesis. Coregulation of target genes by Foxa1/a2 and either the estrogen receptor (ERα) or the androgen receptor (AR) was increased during hepatocarcinogenesis in normal female or male mice, respectively, but was lost in Foxa1/2-deficient mice. Thus, both estrogen-dependent resistance to and androgen-mediated facilitation of HCC depend on Foxa1/2. Strikingly, single nucleotide polymorphisms at FOXA2 binding sites reduce binding of both FOXA2 and ERα to their targets in human liver and correlate with HCC development in women. Thus, Foxa factors and their targets are central for the sexual dimorphism of HCC.

Cell-Specific Determinants of Peroxisome Proliferator-Activated Receptor γ Function in Adipocytes and Macrophages

ABSTRACT The nuclear receptor peroxisome proliferator activator receptor γ (PPARγ) is the target of antidiabetic thiazolidinedione drugs, which improve insulin resistance but have side effects that limit widespread use. PPARγ is required for adipocyte differentiation, but it is also expressed in other cell types, notably macrophages, where it influences atherosclerosis, insulin resistance, and inflammation. A central question is whether PPARγ binding in macrophages occurs at genomic locations the same as or different from those in adipocytes. Here, utilizing chromatin immunoprecipitation and high-throughput sequencing (ChIP-seq), we demonstrate that PPARγ cistromes in mouse adipocytes and macrophages are predominantly cell type specific. In thioglycolate-elicited macrophages, PPARγ colocalizes with the hematopoietic transcription factor PU.1 in areas of open chromatin and histone acetylation, near a distinct set of immune genes in addition to a number of metabolic genes shared with adipocytes. In adipocytes, the macrophage-unique binding regions are marked with repressive histone modifications, typically associated with local chromatin compaction and gene silencing. PPARγ, when introduced into preadipocytes, bound only to regions depleted of repressive histone modifications, where it increased DNA accessibility, enhanced histone acetylation, and induced gene expression. Thus, the cell specificity of PPARγ function is regulated by cell-specific transcription factors, chromatin accessibility, and histone marks. Our data support the existence of an epigenomic hierarchy in which PPARγ binding to cell-specific sites not marked by repressive marks opens chromatin and leads to local activation marks, including histone acetylation.

Extracting transcription factor targets from ChIP-Seq data

ChIP-Seq technology, which combines chromatin immunoprecipitation (ChIP) with massively parallel sequencing, is rapidly replacing ChIP-on-chip for the genome-wide identification of transcription factor binding events. Identifying bound regions from the large number of sequence tags produced by ChIP-Seq is a challenging task. Here, we present GLITR (GLobal Identifier of Target Regions), which accurately identifies enriched regions in target data by calculating a fold-change based on random samples of control (input chromatin) data. GLITR uses a classification method to identify regions in ChIP data that have a peak height and fold-change which do not resemble regions in an input sample. We compare GLITR to several recent methods and show that GLITR has improved sensitivity for identifying bound regions closely matching the consensus sequence of a given transcription factor, and can detect bona fide transcription factor targets missed by other programs. We also use GLITR to address the issue of sequencing depth, and show that sequencing biological replicates identifies far more binding regions than re-sequencing the same sample.

Foxa1 and Foxa2 regulate bile duct development in mice

The forkhead box proteins A1 and A2 (Foxa1 and Foxa2) are transcription factors with critical roles in establishing the developmental competence of the foregut endoderm and in initiating liver specification. Using conditional gene ablation during a later phase of liver development, we show here that deletion of both Foxa1 and Foxa2 (Foxa1/2) in the embryonic liver caused hyperplasia of the biliary tree. Abnormal bile duct formation in Foxa1/2-deficient liver was due, at least in part, to activation of IL-6 expression, a proliferative signal for cholangiocytes. The glucocorticoid receptor is a negative regulator of IL-6 transcription; in the absence of Foxa1/2, the glucocorticoid receptor failed to bind to the IL-6 promoter, causing enhanced IL-6 expression. Thus, after liver specification, Foxa1/2 are required for normal bile duct development through prevention of excess cholangiocyte proliferation. Our data suggest that Foxa1/2 function as terminators of bile duct expansion in the adult liver through inhibition of IL-6 expression.

SnapShot:Forkhead Transcription Factors I

FOXA1 (14q21.1) FOXA2, FOXA3, RXRA, PMA, MSA, Ie86, INS1, NR0B2, DHT, POU5F1, FOXD3, GR, PRKACA, LRP5, ER GCG, TCF1, TFF1, INS1, PRDM15, XBP1, PISD, COL18A1, NRIP1, ATP5J, DSCAM, NDUFV3, SOD1, LIN52, PFKFB1 Epithelial cell differentiation; branching morphogenesis; development of lung, liver, prostate, and pancreas. Severe growth retardation, hypoglycemia, electrolyte imbalance. Die soon after birth. Expressed in luminal type A breast cancer; expressed in human prostate carcinomas.

CRTC2 (TORC2) Contributes to the Transcriptional Response to Fasting in the Liver but Is Not Required for the Maintenance of Glucose Homeostasis

The liver contributes to glucose homeostasis by promoting either storage or production of glucose, depending on the physiological state. The cAMP response element-binding protein (CREB) is a principal regulator of genes involved in coordinating the hepatic response to fasting, but its mechanism of gene activation remains controversial. We derived CRTC2 (CREB-regulated transcription coactivator 2, previously TORC2)-deficient mice to assess the contribution of this cofactor to hepatic glucose metabolism in vivo. CRTC2 mutant hepatocytes showed reduced glucose production in response to glucagon, which correlated with decreased CREB binding to several gluconeogenic genes. However, despite attenuated expression of CREB target genes, including PEPCK, G6Pase, and PGC-1alpha, no hypoglycemia was observed in mutant mice. Collectively, these results provide genetic evidence supporting a role for CRTC2 in the transcriptional response to fasting, but indicate only a limited contribution of this cofactor to the maintenance of glucose homeostasis.

Species-specific strategies underlying conserved functions of metabolic transcription factors

The winged helix protein FOXA2 and the nuclear receptor peroxisome proliferator-activated receptor-γ (PPARγ) are highly conserved, regionally expressed transcription factors (TFs) that regulate networks of genes controlling complex metabolic functions. Cistrome analysis for Foxa2 in mouse liver and PPARγ in mouse adipocytes has previously produced consensus-binding sites that are nearly identical to those used by the corresponding TFs in human cells. We report here that, despite the conservation of the canonical binding motif, the great majority of binding regions for FOXA2 in human liver and for PPARγ in human adipocytes are not in the orthologous locations corresponding to the mouse genome, and vice versa. Of note, TF binding can be absent in one species despite sequence conservation, including motifs that do support binding in the other species, demonstrating a major limitation of in silico binding site prediction. Whereas only approximately 10% of binding sites are conserved, gene-centric analysis reveals that about 50% of genes with nearby TF occupancy are shared across species for both hepatic FOXA2 and adipocyte PPARγ. Remarkably, for both TFs, many of the shared genes function in tissue-specific metabolic pathways, whereas species-unique genes fail to show enrichment for these pathways. Nonetheless, the species-unique genes, like the shared genes, showed the expected transcriptional regulation by the TFs in loss-of-function experiments. Thus, species-specific strategies underlie the biological functions of metabolic TFs that are highly conserved across mammalian species. Analysis of factor binding in multiple species may be necessary to distinguish apparent species-unique noise and reveal functionally relevant information.

Cis-regulatory modules in the mammalian liver: composition depends on strength of Foxa2 consensus site

Foxa2 is a critical transcription factor that controls liver development and plays an important role in hepatic gluconeogensis in adult mice. Here, we use genome-wide location analysis for Foxa2 to identify its targets in the adult liver. We then show by computational analyses that Foxa2 containing cis-regulatory modules are not constructed from a random assortment of binding sites for other transcription factors expressed in the liver, but rather that their composition depends on the strength of the Foxa2 consensus site present. Genes containing a cis-regulatory module with a medium or weak Foxa2 consensus site are much more liver-specific than the genes with a strong consensus site. We not only provide a better understanding of the mechanisms of Foxa2 regulation but also introduce a novel method for identification of different cis-regulatory modules involving a single factor.

The Enhancer Landscape during Early Neocortical Development Reveals Patterns of Dense Regulation and Co-option

Genetic studies have identified a core set of transcription factors and target genes that control the development of the neocortex, the region of the human brain responsible for higher cognition. The specific regulatory interactions between these factors, many key upstream and downstream genes, and the enhancers that mediate all these interactions remain mostly uncharacterized. We perform p300 ChIP-seq to identify over 6,600 candidate enhancers active in the dorsal cerebral wall of embryonic day 14.5 (E14.5) mice. Over 95% of the peaks we measure are conserved to human. Eight of ten (80%) candidates tested using mouse transgenesis drive activity in restricted laminar patterns within the neocortex. GREAT based computational analysis reveals highly significant correlation with genes expressed at E14.5 in key areas for neocortex development, and allows the grouping of enhancers by known biological functions and pathways for further studies. We find that multiple genes are flanked by dozens of candidate enhancers each, including well-known key neocortical genes as well as suspected and novel genes. Nearly a quarter of our candidate enhancers are conserved well beyond mammals. Human and zebrafish regions orthologous to our candidate enhancers are shown to most often function in other aspects of central nervous system development. Finally, we find strong evidence that specific interspersed repeat families have contributed potentially key developmental enhancers via co-option. Our analysis expands the methodologies available for extracting the richness of information found in genome-wide functional maps.

PESNPdb: A comprehensive database of SNPs studied in association with pre-eclampsia

Pre-eclampsia is a pregnancy specific disorder that can be life threatening for mother and child. Multiple studies have been carried out in an attempt to identify SNPs that contribute to the genetic susceptibility of the disease. Here we describe PESNPdb (http://bejerano.stanford.edu/pesnpdb), a database aimed at centralizing SNP and study details investigated in association with pre-eclampsia. We also describe a Placenta Disorders ontology that utilizes information from PESNPdb. The main focus of PESNPdb is to help researchers study the genetic complexity of pre-eclampsia through a user-friendly interface that encourages community participation.