Dataset Information

Gene array identification of Ipf1/Pdx1-/- regulated genes in pancreatic progenitor cells.

ABSTRACT: BACKGROUND: The homeodomain transcription factor IPF1/PDX1 exerts a dual role in the pancreas; Ipf1/Pdx1 global null mutants fail to develop a pancreas whereas conditional inactivation of Ipf1/Pdx1 in beta-cells leads to impaired beta-cell function and diabetes. Although several putative target genes have been linked to the beta-cell function of Ipf1/Pdx1, relatively little is known with respect to genes regulated by IPF1/PDX1 in early pancreatic progenitor cells. RESULTS: Microarray analyses identified a total of 111 genes that were differentially expressed in e10.5 pancreatic buds of Ipf1/Pdx1-/- embryos. The expression of one of these, Spondin 1, which encodes an extracellular matrix protein, has not previously been described in the pancreas. Quantitative real-time RT-PCR analyses and immunohistochemical analyses also revealed that the expression of FgfR2IIIb, that encodes the receptor for FGF10, was down-regulated in Ipf1/Pdx1-/- pancreatic progenitor cells. CONCLUSION: This microarray analysis has identified a number of candidate genes that are differentially expressed in Ipf1/Pdx1-/- pancreatic buds. Several of the differentially expressed genes were known to be important for pancreatic progenitor cell proliferation and differentiation whereas others have not previously been associated with pancreatic development.

SUBMITTER: Svensson P

PROVIDER: S-EPMC2212654 | biostudies-literature | 2007

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Gene array identification of Ipf1/Pdx1-/- regulated genes in pancreatic progenitor cells.

Svensson Per P Williams Cecilia C Lundeberg Joakim J Rydén Patrik P Bergqvist Ingela I Edlund Helena H

BMC developmental biology 20071123

<h4>Background</h4>The homeodomain transcription factor IPF1/PDX1 exerts a dual role in the pancreas; Ipf1/Pdx1 global null mutants fail to develop a pancreas whereas conditional inactivation of Ipf1/Pdx1 in beta-cells leads to impaired beta-cell function and diabetes. Although several putative target genes have been linked to the beta-cell function of Ipf1/Pdx1, relatively little is known with respect to genes regulated by IPF1/PDX1 in early pancreatic progenitor cells.<h4>Results</h4>Microarra ...[more]

PMID: 18036209

Similar Datasets

Project description:BACKGROUND: Pancreatic beta-cells are the target of an autoimmune attack in type 1 diabetes mellitus (T1DM). This is mediated in part by cytokines, such as interleukin (IL)-1beta and interferon (IFN)-gamma. These cytokines modify the expression of hundreds of genes, leading to beta-cell dysfunction and death by apoptosis. Several of these cytokine-induced genes are potentially regulated by the IL-1beta-activated transcription factor (TF) nuclear factor (NF)-kappaB, and previous studies by our group have shown that cytokine-induced NF-kappaB activation is pro-apoptotic in beta-cells. To identify NF-kappaB-regulated gene networks in beta-cells we presently used a discriminant analysis-based approach to predict NF-kappaB responding genes on the basis of putative regulatory elements. RESULTS: The performance of linear and quadratic discriminant analysis (LDA, QDA) in identifying NF-kappaB-responding genes was examined on a dataset of 240 positive and negative examples of NF-kappaB regulation, using stratified cross-validation with an internal leave-one-out cross-validation (LOOCV) loop for automated feature selection and noise reduction. LDA performed slightly better than QDA, achieving 61% sensitivity, 91% specificity and 87% positive predictive value, and allowing the identification of 231, 251 and 580 NF-kappaB putative target genes in insulin-producing INS-1E cells, primary rat beta-cells and human pancreatic islets, respectively. Predicted NF-kappaB targets had a significant enrichment in genes regulated by cytokines (IL-1beta or IL-1beta + IFN-gamma) and double stranded RNA (dsRNA), as compared to genes not regulated by these NF-kappaB-dependent stimuli. We increased the confidence of the predictions by selecting only evolutionary stable genes, i.e. genes with homologs predicted as NF-kappaB targets in rat, mouse, human and chimpanzee. CONCLUSION: The present in silico analysis allowed us to identify novel regulatory targets of NF-kappaB using a supervised classification method based on putative binding motifs. This provides new insights into the gene networks regulating cytokine-induced beta-cell dysfunction and death.

Project description:OBJECTIVE:Homozygous loss-of-function mutations in the gene coding for the homeobox transcription factor (TF) PDX1 leads to pancreatic agenesis, whereas heterozygous mutations can cause Maturity-Onset Diabetes of the Young 4 (MODY4). Although the function of Pdx1 is well studied in pre-clinical models during insulin-producing ?-cell development and homeostasis, it remains elusive how this TF controls human pancreas development by regulating a downstream transcriptional program. Also, comparative studies of PDX1 binding patterns in pancreatic progenitors and adult ?-cells have not been conducted so far. Furthermore, many studies reported the association between single nucleotide polymorphisms (SNPs) and T2DM, and it has been shown that islet enhancers are enriched in T2DM-associated SNPs. Whether regions, harboring T2DM-associated SNPs are PDX1 bound and active at the pancreatic progenitor stage has not been reported so far. METHODS:In this study, we have generated a novel induced pluripotent stem cell (iPSC) line that efficiently differentiates into human pancreatic progenitors (PPs). Furthermore, PDX1 and H3K27ac chromatin immunoprecipitation sequencing (ChIP-seq) was used to identify PDX1 transcriptional targets and active enhancer and promoter regions. To address potential differences in the function of PDX1 during development and adulthood, we compared PDX1 binding profiles from PPs and adult islets. Moreover, combining ChIP-seq and GWAS meta-analysis data we identified T2DM-associated SNPs in PDX1 binding sites and active chromatin regions. RESULTS:ChIP-seq for PDX1 revealed a total of 8088 PDX1-bound regions that map to 5664 genes in iPSC-derived PPs. The PDX1 target regions include important pancreatic TFs, such as PDX1 itself, RFX6, HNF1B, and MEIS1, which were activated during the differentiation process as revealed by the active chromatin mark H3K27ac and mRNA expression profiling, suggesting that auto-regulatory feedback regulation maintains PDX1 expression and initiates a pancreatic TF program. Remarkably, we identified several PDX1 target genes that have not been reported in the literature in human so far, including RFX3, required for ciliogenesis and endocrine differentiation in mouse, and the ligand of the Notch receptor DLL1, which is important for endocrine induction and tip-trunk patterning. The comparison of PDX1 profiles from PPs and adult human islets identified sets of stage-specific target genes, associated with early pancreas development and adult ?-cell function, respectively. Furthermore, we found an enrichment of T2DM-associated SNPs in active chromatin regions from iPSC-derived PPs. Two of these SNPs fall into PDX1 occupied sites that are located in the intronic regions of TCF7L2 and HNF1B. Both of these genes are key transcriptional regulators of endocrine induction and mutations in cis-regulatory regions predispose to diabetes. CONCLUSIONS:Our data provide stage-specific target genes of PDX1 during in vitro differentiation of stem cells into pancreatic progenitors that could be useful to identify pathways and molecular targets that predispose for diabetes. In addition, we show that T2DM-associated SNPs are enriched in active chromatin regions at the pancreatic progenitor stage, suggesting that the susceptibility to T2DM might originate from imperfect execution of a ?-cell developmental program.

Project description:Identification and characterization of epigenetically silenced genes is very important for cancer research. Particularly, information of hypermethylated genes provides clues to understand roles of epigenetics in tumorigeneses, and genes frequently methylated in a tumor-specific manner can be used as tumor markers. DNA methylation inhibitors such as 5-aza-cytidine or 5-aza-2’-deoxycytidine were widely used to search epigenetically silenced genes. However, these inhibitors frequently upregulate genes whose promoters remain unmethylated. We tried to improve the specificity and sensitivity in detecting such methylation-mediated silenced genes in cancer and successfully developed a new method termed “methyl-CpG targeted transcriptional activation (MeTA)” by using a transcriptional activating fragment with a methyl-CpG binding domain (MBD) that specifically recognizes and binds to methylated DNAs. Because MBD proteins in fact mediate transcriptional repression of tumor suppressor genes associated with promoter hypermethylation in cancer, MeTA is thought to be one of the ideal methods to search such genes. In the present study, we applied this method to three representative pancreatic cancer cell lines, AsPC-1, MIA PaCa-2, and PANC-1, with a normal pancreatic ductal epithelial cell line HPDE (as the control). All of these cell lines have already been analyzed their expression profiles by 5-aza-2’-deoxycytidine. We first analyzed the expression of five genes by RT-PCR with Southern hybridization, NEFH, NPTX2, SFRP1, TIMP3, and UCHL1; these genes are known to be methylated in at least any one of these cancer cell lines. Upregulation by “MeTA” was confirmed in all of these genes. Then we searched for upregulated-genes, by two-folds or more, in all the three cancer cell lines after MeTA; nineteen such upregulated genes were identified. Among these, sixteen genes except NEFH, HOXA9, and CLDN5 have not been reported previously using the conventional DNA methylation inhibitors. Methylation status of two genes, SLC32A1 and CSMD2, were further analyzed by methylation-specific PCR and found that SLC32A1 and CSMD2 were methylated in 100% (21/21) and 83% (15/18) pancreatic cancer cell lines analyzed, respectively. Our results suggest that “MeTA” is a highly efficient method to isolate methylation-mediated transcriptionally silenced genes in human pancreatic cancer and that this method can be applied to other types of human cancer. Three representative pancreatic cancer cell lines, AsPC-1, MIA PaCa-2, and PANC-1, with a normal pancreatic ductal epithelial cell line HPDE (as the control) were transfected with pcDNA6/myc-His vector or pcDNA6-3xFLAG-NFkB (AD)-MBD and were harvested 48 h after transfection.

Dataset Information

Gene array identification of Ipf1/Pdx1-/- regulated genes in pancreatic progenitor cells.

Publications

Gene array identification of Ipf1/Pdx1-/- regulated genes in pancreatic progenitor cells.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets