RNA and DNA microarrays.

The development of microarray technology has revolutionized RNA and deoxyribonucleic acid (DNA) research. In contrast with traditional biological assays, microarrays allow the simultaneous measurement of tens of thousands of messenger RNA (mRNA) transcripts for gene expression or of genomic DNA fragments for copy number variation analysis. Over the past decade, genome-wide RNA or DNA microarray analysis has become an essential component of biology and biomedical research. The successful use of microarrays requires attention to unique issues of experimental design and execution. This chapter provides an overview of the methodology and applications of RNA and DNA microarrays in various areas of biological research.

An integrated genomic analysis of gene-function correlation on schizophrenia susceptibility genes.

Schizophrenia is a highly complex inheritable disease characterized by numerous genetic susceptibility elements, each contributing a modest increase in risk for the disease. Although numerous linkage or association studies have identified a large set of schizophrenia-associated loci, many are controversial. In addition, only a small portion of these loci overlaps with the large cumulative pool of genes that have shown changes of expression in schizophrenia. Here, we applied a genomic gene-function approach to identify susceptibility loci that show direct effect on gene expression, leading to functional abnormalities in schizophrenia. We carried out an integrated analysis by cross-examination of the literature-based susceptibility loci with the schizophrenia-associated expression gene list obtained from our previous microarray study (Journal of Human Genetics (2009) 54: 665-75) using bioinformatic tools, followed by confirmation of gene expression changes using qPCR. We found nine genes (CHGB, SLC18A2, SLC25A27, ESD, C4A/C4B, TCP1, CHL1 and CTNNA2) demonstrate gene-function correlation involving: synapse and neurotransmission; energy metabolism and defense mechanisms; and molecular chaperone and cytoskeleton. Our findings further support the roles of these genes in genetic influence and functional consequences on the development of schizophrenia. It is interesting to note that four of the nine genes are located on chromosome 6, suggesting a special chromosomal vulnerability in schizophrenia.

Thalamic transcriptome screening in three psychiatric states.

The prefrontal cortex has been implicated in schizophrenia (SZ) and affective disorders by gene expression studies. Owing to reciprocal connectivity, the thalamic nuclei and their cortical fields act as functional units. Altered thalamic gene expression would be expected to occur in association with cortical dysfunction. We screened the expression of the entire human genome of neurons harvested by laser-capture microdissection (LCM) from the thalamic primary relay to dorsolateral prefrontal cortex in three psychiatric disease states as compared with controls. Microarray analysis of gene expression showed the largest number of dysregulated genes was in SZ, followed by major depression (MD) and bipolar mood bipolar (BP) (1152, 385 and 288, respectively). Significantly, IGF1-mTOR-, AKT-, RAS-, VEGF-, Wnt- and immune-related signaling, eIF2- and proteasome-related genes were unique to SZ. Vitamin D receptor and calcium signaling pathway were unique to BP. AKAP95 pathway and pantothenate and CoA biosynthesis were unique to MD. There are significant differences among the three psychiatric disorders in MDNp cells. These findings offer new insights into the transcriptional dysregulation in the thalamus of SZ/BP/MD subjects.

Microtranscriptome regulation by gonadotropin-releasing hormone.

Gonadotropin-releasing hormone (GnRH) regulates biosynthesis in the pituitary gonadotrope via a complex signaling and gene network. Small non-coding microRNAs (miRNA) can play important roles in gene expression. We investigated the microtranscriptome in the mouse L?T2 gonadotrope cell line using microarray, single molecule coincidence detection assays, hairpin real time PCR and LNA (locked nucleic acid) primer-extension PCR. Expression of nearly 200 miRNAs were detected by array and a panel of 101 hairpin real time PCR assays. Within this broad family of expressed miRNAs, GnRH induced upregulation of two miRNA products of the same primary transcript, miR-132 and miR-212, a result confirmed by single molecule, hairpin and LNA assays. Induction peaked 6h after GnRH exposure and showed no significant frequency sensitivity. Bioinformatics analysis was used to predict potential targets of each of these GnRH-regulated miRNAs. These findings suggest the importance of the microtranscriptome in gene control in the gonadotrope and implicate miR-132 and miR-212 in the regulation of GnRH-stimulated biosynthetic response.

Effects of glucose metabolism on the regulation of genes of fatty acid synthesis and triglyceride secretion in the liver.

Glucose disposal induces a signal that modulates the transcriptional regulation of genes involved in the glycolysis and lipogenesis pathways. To investigate the role of glucose metabolism on hepatic gene expression independently from insulin action, we overexpressed glucokinase, the limiting enzyme in the glycolysis pathway, in the liver of streptozotocin-induced type 1 diabetic rats. By microarray analysis, we observed that critical genes such as liver-type pyruvate kinase, malic enzyme, fatty acid synthase, and stearoyl-CoA desaturase 1 were enhanced multiple-fold, whereas genes involved in mitochondrial fatty acid oxidation and the Krebs cycle were downregulated. Despite the increase in expression of fatty acid synthesis genes and the presence of steatosis, no major alterations to the levels of genes involved in VLDL assembly and secretion, such as diacylglycerol acyltransferases 1 and 2 and microsomal triglyceride transfer protein, were observed. Overall, our data suggest that the gene expression pattern induced by glucose metabolism favors fatty acid storage in the liver rather than secretion into the circulation.

Two dual specificity kinases are preferentially induced by wild-type rather than by oncogenic RAS-P21 in Xenopus oocytes.

In prior studies, we have found that oncogenic ras-p21 protein induces oocyte maturation using pathways that differ from those activated by insulin-induced wild-type ras-p21. Both oncogenic and wild-type ras-p21 require interactions with raf, but unlike oncogenic ras-p21, insulin-activated wild-type ras-p21 does not depend completely on activation of MEK and MAP kinase (MAPK or ERK) on the raf kinase pathway. To determine what raf-dependent but MAPK-independent pathway is activated by wild-type ras-p21, we have analyzed gene expression in oocytes induced to mature either with oncogenic ras-p21 or with insulin using a newly available Xenopus gene array. We find a number of proteins that are preferentially expressed in one or the other system. Of these, two proteins, both dual function kinases, T-Cell Origin Protein Kinase (TOPK) and the nuclear kinase, DYRK1A, are preferentially expressed in the insulin system. Confirming this finding, blots of lysates of oocytes, induced to mature with oncogenic ras-p21 and insulin, with anti-TOPK and anti-DYRK1A show much higher protein expression in the lysates from the insulin-matured oocytes. Neither of these kinases activates or is activated by MAPK and is therefore an attractive candidate for being on a signal transduction pathway that is unique to insulin-activated wild-type ras-p21-induced oocyte maturation.

Gene expression pattern in hepatic stem/progenitor cells during rat fetal development using complementary DNA microarrays.

To identify new and differentially expressed genes in rat fetal liver epithelial stem/progenitor cells during their proliferation, lineage commitment, and differentiation, we used a high throughput method-mouse complementary DNA (cDNA) microarrays-for analysis of gene expression. The gene expression pattern of rat hepatic cells was studied during their differentiation in vivo: from embryonic day (ED) 13 until adulthood. The differentially regulated genes were grouped into two clusters: a cluster of up-regulated genes comprised of 281 clones and a cluster of down-regulated genes comprised of 230 members. The expression of the latter increased abruptly between ED 16 and ED 17. Many of the overexpressed genes from the first cluster fall into distinct, differentially expressed functional groups: genes related to development, morphogenesis, and differentiation; calcium- and phospholipid-binding proteins and signal transducers; and cell adhesion, migration, and matrix proteins. Several other functional groups of genes that are initially down-regulated, then increase during development, also emerged: genes related to inflammation, blood coagulation, detoxification, serum proteins, amino acids, lipids, and carbohydrate metabolism. Twenty-eight genes overexpressed in fetal liver that were not detected in adult liver are suggested as potential markers for identification of liver progenitor cells. In conclusion, our data show that the gene expression program of fetal hepatoblasts differs profoundly from that of adult hepatocytes and that it is regulated in a specific manner with a major switch at ED 16 to 17, marking a dramatic change in the gene expression program during the transition of fetal liver progenitor cells from an undifferentiated to a differentiated state. Supplementary material for this article can be found on the HEPATOLOGY website (http://interscience.wiley.com/jpages/0270-9139/suppmat/index.html).