The fibroblast growth factor (FGF) family consists of at least seven closely related polypeptide mitogens which exert their activities by binding and activation of specific cell surface receptors. Unanswered questions have been whether there are multiple FGF receptors and what factors determine binding specificity and biological response. We report the complete cDNA cloning of two human genes previously designated flg and bek. These genes encode two similar but distinct cell surface receptors comprised of an extracellular domain with three immunoglobulin‐like regions, a single transmembrane domain, and a cytoplasmic portion containing a tyrosine kinase domain with a typical kinase insert. The expression of these two cDNAs in transfected NIH 3T3 cells led to the biosynthesis of proteins of 150 kd and 135 kd for flg and bek, respectively. Direct binding experiments with radiolabeled acidic FGF (aFGF) or basic FGF (bFGF), inhibition of binding with native growth factors, and Scatchard analysis of the binding data indicated that bek and flg bind either aFGF or bFGF with dissociation constants of (2‐15) x 10(‐11) M. The high affinity binding of two distinct growth factors to each of two different receptors represents a unique double redundancy without precedence among polypeptide growth factor‐receptor interactions.

It has been shown that oxygen deprivation results in apoptotic cell death, and that hypoxia inducible factor 1 (HIF1) and the tumor suppressor p53 play key roles in this process. However, the molecular mechanism through which hypoxia and HIF1 induce apoptosis is not clear. Here we show that the expression of pro-apoptotic gene BNIP3 is dramatically induced by hypoxia in various cell types, including primary rat neonatal cardiomyocytes. Overexpression of HIF1a, but not p53, induces the expression of BNIP3. Overexpression of BNIP3 leads to a rather unusual type of apoptosis, as no cytochrome c leakage from mitochondria was detected and inhibitors of caspases were unable to prevent cell death. Taken together, these data suggest that HIF1-dependent induction of BNIP3 may play a significant role during hypoxiainduced cell death. Cell Death and Differentiation (2001) 8, 367 ± 376.

Functional ␥-secretase inhibitors (FGSIs) can block the cleavage of several transmembrane proteins including amyloid precursor protein (APP), and the cell fate regulator Notch-1. FGSIs, by inhibiting APP processing, block the generation of amyloid ␤ (A␤) peptides and may slow the development of Alzheimer's disease. FGSIs used to inhibit APP processing may disrupt Notch processing, thus interfering with cell fate determination. Described herein is a FGSI-mediated gastrointestinal toxicity characterized by cell population changes in the ileum of rats, which are indicative of Notch signaling disruption. Microarray analysis of ileum from FGSItreated rats revealed differential expression responses in a number of genes indicative of Notch signaling perturbation, including the serine protease adipsin. We were able to show that FGSI-treated rats had elevated levels of adipsin protein in gastrointestinal contents and feces, and by immunohistochemistry demonstrated that adipsin containing ileum crypt cells were increased in FGSI-treated rats. The mouse Adipsin proximal promoter contains a putative binding site for the Notchinduced transcriptional regulator Hes-1, which we demonstrate is able to bind Hes-1. Additional studies in 3T3-L1 preadipocytes demonstrate that this FGSI inhibits Hes-1 expression while up-regulating adipsin expression. Overexpression of Hes-1 was able to down-regulate adipsin expression and block pre-adipocyte differentiation. We propose that adipsin is a Hes-1-regulated gene that is de-repressed during FGSI-mediated disruption of Notch/Hes-1 signaling. Additionally, the aberrant expression of adipsin, and its presence in feces may serve as a noninvasive biomarker of gastrointestinal toxicity associated with perturbed Notch signaling.The small intestine can be a site of injury associated with drug treatment (1-3). Tissue organization within the small intestine relies upon a small number of stem cells in the intestinal crypts to continuously produce several types of differentiated cells that together comprise the villous epithelium (enterocytes, goblet cells, paneth cells, and enteroendocrine cells) (4). This rapid maturation, transport, and cell loss make the small intestine particularly susceptible to toxicants that affect cell differentiation and proliferation (5, 6). The process by which dividing intestinal epithelial stem cells in the crypt produce differentiated progeny requires the transcriptional regulation of genes necessary for cell fate determination. The control of this cell fate determination pathway is dependent on a number of positive and negative transcription factors that operate in undifferentiated precursor cells of the crypt (6 -8). For example, the bHLH transcriptional repressor protein Hairy and Enhancer of split homologue-1 (Hes-1) 1 has been shown to be important in determining whether differentiating intestinal epithelial stem cells adopt an exocrine/secretory (goblet cell, enteroendocrine cell, paneth cell) fate or an absorptive (enterocyte) fate (9). Expression of Hes-1 is kn...

Despite investment in toxicogenomics, nonclinical safety studies are still used to predict clinical liabilities for new drug candidates. Network-based approaches for genomic analysis help overcome challenges with whole-genome transcriptional profiling using limited numbers of treatments for phenotypes of interest. Herein, we apply co-expression network analysis to safety assessment using rat liver gene expression data to define 415 modules, exhibiting unique transcriptional control, organized in a visual representation of the transcriptome (the 'TXG-MAP'). Accounting for the overall transcriptional activity resulting from treatment, we explain mechanisms of toxicity and predict distinct toxicity phenotypes using module associations. We demonstrate that early network responses complement traditional histology-based assessment in predicting outcomes for longer studies and identify a novel mechanism of hepatotoxicity involving endoplasmic reticulum stress and Nrf2 activation. Module-based molecular subtypes of cholestatic injury derived using rat translate to human. Moreover, compared to gene-level analysis alone, combining module and gene-level analysis performed in sequence identifies significantly more phenotype-gene associations, including established and novel biomarkers of liver injury.

The use of cultured primary hepatocytes within toxicology has proven to be a valuable tool for researchers, however, questions remain with regard to functional differences observed in these hepatocytes relative to the intact liver. Cultured hepatocytes have typically been described as dedifferentiated, a classification based upon the investigation of a few key cellular processes or hepatocellular markers. In the present study, parallel expression monitoring of approximately 8700 rat genes was used to characterize mRNA changes over time in hepatocyte cultures using Affymetrix microarrays. We isolated and labeled mRNA from whole rat livers, hepatocyteenriched cell pellets, and primary cultured hepatocytes (4,12,24,48, and 72 h postplating), and hybridized these samples to microarrays. From these data, several pairwise and temporal gene expression comparisons were made. Gene expression changes were confirmed by RT/ PCR and by performing replicate experiments and repeated hybridizations using a rat toxicology sub-array that contained a 900-gene subset of the 8700-gene rat genomic microarray. PCR data qualitatively reproduced the temporal patterns of gene expression observed with microarrays. Cluster analysis of time course data using self-organizing maps (SOM) revealed a classic hepatocyte dedifferentiation response. Functional grouping of genes with similar transcriptional patterns showed time-dependent regulation of phase I and phase II metabolizing enzymes. In general, cytochrome P450 mRNA expression was repressed, but expression of phase II metabolizing enzymes varied by class (upregulation of glucuronidation, downregulation of sulfation). Potential metabolic targets for toxic insult, such as glutathione metabolism, gluconeogenesis, and glycolysis, were also affected at the transcriptional level. Progressive induction of several genes associated with the cellular cytoskeleton and extracellular matrix was observed in accord with physical changes in cell shape and connectivity associated with cellular adhesion. Finally, many transcriptional changes of genes involved in critical checkpoints throughout the hepatocyte cell cycle and differentiation process were observed. In total, these data establish a more comprehensive understanding of hepatocellular dedifferentiation and reveal many novel aspects of physiological and morphological hepatocyte adaptation. An assembly of all transcripts that demonstrated differential expression in this study can be found in the Supporting Information.

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We have tested the feasibility of producing large quantities of human serum albumin (HSA) in the milk of transgenic livestock by generating transgenic mice as a model system. The sheep beta-lactoglobulin (BLG) 5'-regulatory promoter sequences were used to support expression of BLG or HSA in transgenic mice. Transgenic animals generated from the entire BLG gene including 3, 5.5 or 10.8 kb of 5'-sequences demonstrated that 3 kb of 5'-sequences were sufficient to support high levels of expression of BLG, and that the longer 5'-sequences did not improve upon the levels of expression. As such, the 3 kb 5'-sequences were used to drive expression of HSA in BLG-HSA constructs. HSA was not detectably expressed in eight transgenic lines generated from a BLG-HSA construct containing the HSA cDNA. Two transgenic lines of 26 generated, using five different constructs, with an HSA minigene possessing the first intron expressed HSA in their milk. One of these expressed HSA at high levels (2.5 mg ml-1) and has stably transmitted this ability to its progeny. A high percentage of transgenic mouse lines (four of six) generated from a vector containing an HSA minigene possessing introns 1 and 2 expressed HSA in their milk at levels which ranged from 1 to 35 micrograms ml-1. In a similar trend, levels of expression of HSA by transfected tissue culture cells from BLG-HSA vectors containing an introduced SV40 enhancer were low with the HSA cDNA, increased with the HSA minigene with intron 1 and increased further with the minigene containing introns 1 and 2. This study demonstrates that high levels of HSA can be expressed in the milk of transgenic animals, that introns of the HSA gene play a role in its expression and that transfected cell lines may be used to quickly evaluate the relative expression efficiencies of various vector constructs intended for future transgenic evaluation.