Satoshi Shiojima

Implantation and placental development in somatic cell clone recipient cows.

Successful somatic cloned animal production has been reported in various domesticated species, including cattle; however, it is associated with a high rate of pregnancy failure. The low cloning yield could possibly arise from either an abnormal and/or poorly developed placenta. In comparison to control cows, fewer placentomes were found in somatic cell nuclear recipient (NT) cows at day 60 of gestation, suggesting a retardation of fetal/placental growth in these animals. NT cows not only had fewer numbers of chorionic villi but also had poorly developed caruncles. Macroscopic examination revealed atypical development of the placentome in terms of shape and size. Histological disruption of chorionic villi and caruncular septum was found in NT cows. Of particular interest was that the expression of genes, as well as proteins in the placentome, was disparate between NT and artificially inseminated cows, especially placental lactogen (PL) and pregnancy-associated glycoprotein (PAG). In contrast, prolactin-related protein-1 (PRP-1) signals were comparable across cows, including NT cows carrying immotile fetuses. The expression of extracellular matrix degrading molecule, heparanase (HPA), in NT cows was divergent from that of control cows. Microarray data suggest that gene expression was disorientated in early stages of implantation in NT cows, but this was eliminated with progression of gestation. These findings strongly support a delay in trophoblast development during early stages of placentation in NT cows, and suggest that placental specific proteins, including PLs, PAGs, and HPA, are key indicators for the aberration of gestation and placental function in cows.

cDNA microarray analysis of bovine embryo gene expression profiles during the pre-implantation period

BackgroundAfter fertilization, embryo development involves differentiation, as well as development of the fetal body and extra-embryonic tissues until the moment of implantation. During this period various cellular and molecular changes take place with a genetic origin, e.g. the elongation of embryonic tissues, cell-cell contact between the mother and the embryo and placentation. To identify genetic profiles and search for new candidate molecules involved during this period, embryonic gene expression was analyzed with a custom designed utero-placental complementary DNA (cDNA) microarray.MethodsBovine embryos on days 7, 14 and 21, extra-embryonic membranes on day 28 and fetuses on days 28 were collected to represent early embryo, elongating embryo, pre-implantation embryo, post-implantation extra-embryonic membrane and fetus, respectively. Gene expression at these different time points was analyzed using our cDNA microarray. Two clustering algorithms such as k-means and hierarchical clustering methods identified the expression patterns of differentially expressed genes across pre-implantation period. Novel candidate genes were confirmed by real-time RT-PCR.ResultsIn total, 1,773 individual genes were analyzed by complete k-means clustering. Comparison of day 7 and day 14 revealed most genes increased during this period, and a small number of genes exhibiting altered expression decreased as gestation progressed. Clustering analysis demonstrated that trophoblast-cell-specific molecules such as placental lactogens (PLs), prolactin-related proteins (PRPs), interferon-tau, and adhesion molecules apparently all play pivotal roles in the preparation needed for implantation, since their expression was remarkably enhanced during the pre-implantation period. The hierarchical clustering analysis and RT-PCR data revealed new functional roles for certain known genes (dickkopf-1, NPM, etc) as well as novel candidate genes (AW464053, AW465434, AW462349, AW485575) related to already established trophoblast-specific genes such as PLs and PRPs.ConclusionsA large number of genes in extra-embryonic membrane increased up to implantation and these profiles provide information fundamental to an understanding of extra-embryonic membrane differentiation and development. Genes in significant expression suggest novel molecules in trophoblast differentiation.

Gene expression profile in the regenerating rat liver after partial hepatectomy.

BACKGROUND/AIMS When a loss of hepatic mass occurs, the expression of a large number of genes is either induced or altered, accompanying hepatocyte proliferation. In the present study, we made an in-house cDNA microarray containing 4608 elements (Liver chip), and analyzed extensively gene expression profiles of the regenerating liver after 70% partial hepatectomy (PHx) in rats. METHODS RNAs were prepared from three rat livers at each time point (taken at 0, 6, 12, 18, 24, 48, 72 h, and 1 week after PHx). Using the liver chip, we performed large-scale analysis of gene expression during liver regeneration. Elements either up- or down-regulated more than twofold at one or more time points were selected. RESULTS Among the 4608, 382 were identified. Using cluster analysis, we found great similarity between gene-expression profiles at 12 and 18 h after PHx as well as between 48 and 72 h after PHx. We also found that there are at least six distinct temporal patterns of gene expression in the regenerating rat liver after PHx. CONCLUSIONS These results indicated that microarray analysis is a powerful approach for monitoring molecular events in the regenerating liver.

Temporal gene expression changes during adipogenesis in human mesenchymal stem cells

Human bone marrow mesenchymal stem cells (hMSCs) give rise to adipocytes in response to adipogenic hormones. An in-house cDNA microarray representing 3400 genes was employed to characterize the modulation of genes involved in this process. A total of 197 genes showed temporal gene expression changes during adipogenesis, including genes encoding transcriptional regulators and signaling molecules. Semi-quantitative RT-PCR analyses confirmed differential expression at the transcriptional level of several genes identified by cDNA microarray screening. Cluster analysis of the genes regulated during the late phase (from day 7 to day 14) of hMSC adipogenesis indicated that these changes are well correlated with data previously reported for murine preadipocytes. However, during the early phase (day 1-day 5), the modulations of genes differed from those reported for the preadipocytes. These data provide novel information on the molecular mechanisms required for lineage commitment and maturation accompanying adipogenesis of hMSC.

Signalling mechanisms in sphingosine 1‐phosphate‐promoted mesangial cell proliferation

Background: The bioactive sphingolipid sphingosine 1‐phosphate (S1P) is formed by the activation of sphingosine kinase (SPHK) in diverse stimuli, such as platelet‐derived growth factor (PDGF). S1P acts not only as an extracellular mediator but also as an intracellular second messenger, resulting in the proliferation of various different types of cells. However, the signal transduction mechanism in S1P‐induced proliferation of mesangial cells is poorly known.

Global analysis of differentially expressed genes during progression of calcium oxalate nephrolithiasis

The process of nephrolithiasis development is poorly understood at the molecular level. Here, we constructed a cDNA microarray from a rat kidney normalized cDNA library, and investigated the pattern of gene expression in rat kidneys from a calcium oxalate (CaOx) nephrolithiasis model. One hundred and seventy-three genes were found to be at least 2-fold regulated at one or more time points during progression of nephrolithiasis. RT-PCR and immunohistochemical analyses confirmed differential expression at both transcriptional and translational levels of genes identified by cDNA microarray screening. The differentially regulated genes were grouped into six clusters based on their expression profiles; the magnitude and the temporal patterns of gene expression identified known and novel molecular components involved in inflammation and matrix expansion in the CaOx nephrolithiasis kidney. This microarray study is the first report on gene expression programs underlying the process of nephrolithiasis.

Functional genomic search of G-protein-coupled receptors using microarrays with normalized cDNA library

G-protein-coupled receptors (GPCRs) represent the single most important drug targets for medical therapy, and information from genome sequencing and genomic databases has substantially accelerated their discovery. Despite its present large size, the GPCR superfamily continues to expand rapidly as new receptors are discovered through automated sequencing of cDNA libraries and bioinformatics. It is estimated that several thousand GPCRs may exist in the human genome, and, at present, with most of the genome sequenced, as many as 250 GPCRs have been cloned. However, a systematic approach to identify the function of newly discovered GPCRs is lacking. Large-scale monitoring of gene expression is a powerful approach for clarifying cellular events. DNA microarray technologies permit the recognition of genome-wide expression profiling, and have a profound impact to biological research, especially pharmacology. This technology can also be applied to drug discovery and molecular classification of diseases.

Transcriptional profiling of gene expression patterns during sphingosine 1-phosphate-induced mesangial cell proliferation.

Sphingosine 1-phosphate (S1P) is known to regulate cell proliferation, apoptosis, and motility. Recently, we have reported that S1P and its analogue dihydro-S1P (DHS1P) promote proliferation of rat cultured mesangial cells. To investigate the signaling mechanisms underlying S1P- and DHS1P-induced mesangial cell proliferation, we performed cDNA microarray analysis of gene expression during mesangial cell proliferation. In terms of the overall pattern, gene expression waves induced by S1P and DHS1P were similar to those induced by a potent mesangial mitogen platelet-derived growth factor (PDGF), whereas we found several genes, such as two growth factors, connective tissue growth factor (CTGF) and heparin-binding EGF-like growth factor (HB-EGF), which were induced by the sphingolipids, but not by PDGF. Cluster analysis also identified calcium-dependent molecules highly expressed in DHS1P-stimulated cells compared to S1P-stimulated cells. Calcium mobilization analysis showed that DHS1P had higher magnitudes of intracellular calcium mobilization than S1P, suggesting that S1P and DHS1P differentially regulate intracellular calcium mobilization, possibly leading to different gene expression in mesangial cells. The large-scale monitoring of gene expression performed here allows us to identify S1P-induced transcriptional properties during mesangial cell proliferation.

Genomic analysis of a mouse model of immunoglobulin A nephropathy reveals an enhanced PDGF-EDG5 cascade.

The molecular mechanism of immunoglobulin A nephropathy (IgAN), the most common primary renal glomerular disease worldwide, is unknown. HIGA (high serum IgA) mouse is a valid model of IgAN showing almost all of the pathological features, including mesangial cell proliferation. Here we elucidate a pattern of gene expression associated with IgAN by analyzing the diseased kidneys on cDNA microarrays. In particular, we showed an enhanced expression of several genes regulating the cell cycle and proliferation, including growth factors and their receptors, as well as endothelial differentiation gene-5 (EDG5), a receptor for sphingosine 1-phosphate (SPP). One of the growth factors, platelet-derived growth factor (PDGF) induces a marked upregulation of EDG5 in proliferative mesangial cells, and promotes cell proliferation synergistically with SPP. The genomic approach allows us to identify families of genes involved in a process, and can indicate that enhanced PDGF-EDG5 signaling plays an important role in the progression of IgAN.

An Ultrasensitive New DNA Microarray Chip Provides Gene Expression Profiles for Preoperative Esophageal Cancer Biopsies without RNA Amplification

Objectives: Gene expression profiling using pretreatment biopsies has been limited due to their small sample sizes. This study evaluated the usefulness of an ultrasensitive new DNA microarray chip, which has a unique array structure, for the clinical diagnosis of esophageal cancer using preoperative biopsies. Methods: Paired cancer and normal esophageal epithelial tissues from 56 patients who underwent esophagectomy and from 48 patients who underwent preoperative endoscopy were studied. Among 2 feature gene sets selected by a reference DNA chip discriminating malignant status of samples, 20 feature genes were selected for the development of the new DNA chip. The new DNA chip was hybridized with 0.1 µg of total RNA per slide without RNA amplification. Results: Twenty feature genes, including RRM-2 and XRCC-3, for the new DNA chip could discriminate cancer from noncancer at a 95.2% rate of accuracy in 42 biopsies (sensitivity 95.7%, specificity 94.7%). A receiver operating characteristic (ROC) curve analysis showed that the area under ROC curve for the prediction was 0.966. Conclusions: The gene expression profiles from the preoperative biopsies could diagnose esophageal cancer accurately, using the ultrasensitive DNA chip without RNA amplification. This new DNA chip technology might contribute further to the development of customized therapeutic strategies for various cancer patients.