Analysis of the genes involved in the insulin transmembrane mitogenic signal in Chinese hamster ovary cells, CHO-K1, utilizing insulin-independent mutants

Transcriptional regulation by insulin: from the receptor to the gene

Insulin, after binding to its receptor, regulates many cellular processes and the expression of several genes. For a subset of genes, insulin exerts a negative effect on transcription; for others, the effect is positive. Insulin controls gene transcription by modifying the binding of transcription factors on insulin-response elements or by regulating their transcriptional activities. Different insulin-signaling cascades have been characterized as mediating the insulin effect on gene transcription. In this review, we analyze recent data on the molecular mechanisms, mostly in the liver, through which insulin exerts its effect. We first focus on the key transcription factors (viz. Foxo, sterol-response-element-binding protein family (SREBP), and Sp1) involved in the regulation of gene transcription by insulin. We then present current information on the way insulin downregulates and upregulates gene transcription, using as examples of downregulation phosphoenolpyruvate carboxykinase (PEPCK) and insulin-like growth factor binding protein 1 (IGFBP-1) genes and of upregulation the fatty acid synthase and malic enzyme genes. The last part of the paper focuses on the signaling cascades activated by insulin in the liver, leading to the modulation of gene transcription.

Expression profiling identifies genes that continue to respond to insulin in adipocytes made insulin-resistant by treatment with tumor necrosis factor-alpha

We have employed microarray technology using RNA from normal 3T3-L1 adipocytes and from 3T3-L1 adipocytes made insulin-resistant by treatment with tumor necrosis factor-alpha to identify a new class of insulin-responsive genes. These genes continued to respond normally to insulin even though the adipocytes themselves were metabolically insulin-resistant, i.e. they displayed a significantly decreased rate of insulin-stimulated glucose uptake. Approximately 12,000 genes/expressed sequence tags (ESTs) were screened. Of these, 40 genes/ESTs were identified that became insulin-resistant as expected (e.g. Socs-3, junB, and matrix metalloproteinase-11). However, 61 genes/ESTs continued to respond normally to insulin. Although some of these genes were previously shown to be regulated by insulin (e.g. Glut-1 and beta3-adrenergic receptor), other novel insulin-sensitive genes were also identified (e.g. Egr-1, epiregulin, Fra-1, and ABCA1). Real-time reverse transcription-PCR analysis confirmed the expression patterns of several of the differentially expressed genes. One gene that remained insulin-sensitive in the insulin-resistant adipocytes is the transcription factor Egr-1. Using an antisense strategy, we show that tissue factor and macrophage colony-stimulating factor, two cardiovascular risk factors, are downstream EGR-1 target genes in the adipocyte. Taken together, these data support the hypothesis that some signaling pathways remain insulin-sensitive in metabolically insulin-resistant adipocytes. These pathways may promote abnormal gene expression in hyperinsulinemic states like obesity and type II diabetes and thus may contribute to pathologies associated with these conditions.

Dynamic visualization of expressed gene networks

Cellular biochemical machineries, what we call pathways, consist of dynamically assembling and disassembling macromolecular complexes. While our models for the organization of biochemical machines are derived largely from in vitro experiments, do they reflect their organization in living cells? We have developed a general experimental strategy that addresses this question by allowing the quantitative probing of molecular interactions in intact living cells. The experimental strategy is based on protein fragment complementation assays (PCA), a method whereby protein interactions are coupled to refolding of enzymes from cognate fragments where reconstitution of enzyme activity acts as the detector of a protein interaction. A biochemical machine or pathway is defined by grouping interacting proteins into those that are perturbed in the same way by common factors (hormones, metabolites, enzyme inhibitors, etc). In this review, we describe how we go from descriptive to quantitative representations of biochemical networks at an individual to whole genome level and how our approach will lead ultimately to better descriptions of the biochemical machineries that underlie living processes.

Accessory elements, flanking DNA sequence, and promoter context play key roles in determining the efficacy of insulin and phorbol ester signaling through the malic enzyme and collagenase-1 AP-1 motifs

Insulin stimulates malic enzyme (ME)-chloramphenicol acetyltransferase (CAT) and collagenase-1-CAT fusion gene expression in H4IIE cells through identical activator protein-1 (AP-1) motifs. In contrast, insulin and phorbol esters only stimulate collagenase-1-CAT and not ME-CAT fusion gene expression in HeLa cells. The experiments in this article were designed to explore the molecular basis for this differential cell type- and gene-specific regulation. The results highlight the influence of three variables, namely promoter context, AP-1 flanking sequence, and accessory elements that modulate insulin and phorbol ester signaling through the AP-1 motif. Thus, fusion gene transfection and proteolytic clipping gel retardation assays suggest that the AP-1 flanking sequence affects the conformation of AP-1 binding to the collagenase-1 and ME AP-1 motifs such that it selectively binds the latter in a fully activated state. However, this influence of ME AP-1 flanking sequence is dependent on promoter context. Thus, the ME AP-1 motif will mediate both an insulin and phorbol ester response in HeLa cells when introduced into either the collagenase-1 promoter or a specific heterologous promoter. But even in the context of the collagenase-1 promoter, the effects of both insulin and phorbol esters, mediated through the ME AP-1 motif are dependent on accessory factors.

Transcription of krox-20/egr-2 is upregulated after exposure to fibrous particles and adhesion in rat alveolar macrophages

Alveolar macrophages meet various types of particulate substances deposited deep in the lung. We report differences in biologic responses of alveolar macrophages between phagocytosis of fine spherical and fibrous particles. Although titanium dioxide (TiO(2)) is thought to be biologically inert, the cytotoxicity of fibrous TiO(2) (F-TiO(2)) was much higher than spherical TiO(2) (S-TiO(2)). Differential display and the subsequent Northern blot analysis indicated that transcription of krox-20/egr-2 gene was slightly and greatly upregulated in S- and F-TiO(2)-exposed alveolar macrophages, respectively. The messenger RNA (mRNA) level of krox-20/egr-2 increased up to 8 h in F-TiO(2)-exposed alveolar macrophages, whereas krox-20/egr-2 mRNA level was transiently increased in response to adhesion to the culture dish. Stimulation with lipopolysaccharide also increased krox-20/egr-2 mRNA level transiently, although the mRNA level rebounded after 8 h. The analysis with 5' rapid amplification of complementary DNA ends suggested that there is a heterogeneity in the upstream region of this gene (krox-20/egr-2 and krox-20H1; accession numbers AB032420 and AB032419, respectively). The polymerase chain reaction analysis with specific primers for krox-20/egr-2 and krox-20H1 indicated that both genes were almost equally upregulated after either adhesion to the plastic dish or phagocytosis of F-TiO(2). These results suggest that both krox-20/egr-2 and krox-20H1 are implicated in adhesion and phagocytosis, and that the expression of krox-20 may reflect interaction with foreign substances and adhesion in alveolar macrophages.

Transcription factor AP-1, and the role of Fra-2

Transcription factors function to regulate gene transcription. They may be constitutively expressed or may only be activated during specific situations. Activator protein-1 (AP-1) is an inducible transcription factor, and is comprised of multiple protein complexes that include the gene products of the fos and jun gene families. Numerous cellular and viral genes contain AP-1 binding sites within their promoters and, accordingly, AP-1 has been shown to play a role in the regulation of both basal and inducible transcription of these genes. fos-related antigen-2 (fra-2) has been found to have both similar and unique properties to that of other fos gene members in terms of its regulation and expression. The analysis and determination of the function of Fra-2 will provide further information on the role of AP-1.

SRY protein enhances transcription of Fos-related antigen 1 promoter constructs

In mammals, testis determination is under the control of the chromosome Y-linked SRY gene. Sry is expressed in the fetal mouse just before development of the testis and shows germ-cell-dependent expression in the adult mouse. SRY protein contains a high-mobility-group (HMG)-box DNA-binding domain, and potential target sequences have been identified. The fos-related antigen 1 (fra-1) gene is closely related to the protooncogene c-fos and encodes a component of transcription factor AP-1. Fra-1 is expressed during spermatogenesis, and the promoter of the rat fra-1 gene contains several potential binding sites for members of the HMG-box family of DNA-binding proteins. We demonstrate that purified SRY protein binds strongly to one of the putative fra-1 HMG-box response elements and that SRY enhances the transcription of rat fra-1 promoter constructs in cotransfection experiments. These results suggest that the function of HMG-box transcription factors may be mediated, in part, by activation of members of the AP-1 transcription factor family.

Enhancement in amount of P1 (hsp60) in mutants of Chinese hamster ovary (CHO-K1) cells exhibiting increases in the A system of amino acid transport

Mutants of CHO-K1 cells with varied levels of A system activity, probably the result of increases in absolute amount of the A system transporter, have corresponding increases in levels of peptides banding at 62-66 and 29 kDa. Mutant alar4-H3.9, showing the highest increase of A system activity and of 62- to 66- and 29-kDa peptides, was selected for this study. The N terminus 16-amino acid sequence of the 62- to 66-kDa peptide(s) of this mutant showed between 80% and 100% identity with the mammalian mitochondrial 60-kDa heat shock protein P1 (hsp60). Two-dimensional gel electrophoresis of the 62- to 66-kDa band showed two major, a minor, and several smaller spots (of same mass but different pI values) for both wild type (WT) and mutant, with the two major spots being of greater density in the mutant. Immunoblots with antibody to P1 identified the two major and minor peptides as P1 related. Two-dimensional gels of whole cell extracts of the WT and alar4-H3.9 confirmed these findings and indicated that the two major bands of the mutant were 2.4 times as abundant as that found for the WT. A plasma membrane fraction of the mutant, exhibiting 4.8 times more A system activity than the WT, contained 3.6 times as much P1 as the WT. Immunoblots with antibodies to P1, mitochondrial malate dehydrogenase, and to the mitochondrial F1/F0-ATPase demonstrated that the increased amount of P1 observed in the mutant was not the result of increases in amount of mitochondrial protein. Northern blot analysis demonstrated that the mutant had 2.5 times as much mRNA for P1 as the WT. The close analogy with the relationship between A system and Na+,K(+)-ATPase suggests that there is a coordinate regulation of the A system of amino acid transport, Na+,K(+)-ATPase, and P1 protein, probably as a result of mutation in a shared regulatory element. The possible role of P1 in A system function is discussed.

Reverse transformation, genome exposure, and cancer

The reverse transformation reaction whereby malignant cells are restored to a more normal phenotype has been reviewed. The primary causative action is ascribed to the genome exposure reaction in which a peripheral nuclear DNA region is restored to high sensitivity to DNase I, like that in normal cells. Various aspects of genome exposure around the nucleoli and the nuclear periphery are considered. The special role of the cytoskeleton in regulating exposure resulting in normal differentiation on the one hand and malignant transformation on the other is discussed. The action of the two-level system for regulation of the mammalian genome previously proposed is reviewed in relation to normal differentiation and malignancy with brief indication of roles played by various metabolites, transcription factors, protooncogenes, cell organelles, and processes like specific phosphorylation and dephosphorylation. Possible implications for cancer therapy and prevention and for the fields of genetic disease and toxicology are indicated.