Global gene expression analysis of developing heart in embryos of diabetic mice
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ABSTRACT:
ORGANISM(S): Mus musculus
SUBMITTER: Srinivasan Dinesh Kumar
PROVIDER: E-GEOD-32078 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Exposure to maternal diabetes during pregnancy alters transcriptional profiles in the developing embryo. The enrichment, within the set of de-regulated genes, of those encoding transcriptional regulatory molecules provides support for the hypothesis that maternal diabetes affects specific developmental programs. We compared E10.5 cntrol embryos to E10.5 embryos from diabetic pregnancies in the FVB mouse strain. Diabetes was induced in 7-9 week old female FVB mice by streptozotocin. Dams whose blood glucose levels exceeded 250 mg/dl were set up for mating. Embryos were dissected at E10.5 and total RNA was isolated. Equal amounts of RNA prepared from 3 individual embryos were pooled into one sample; each embryo was from a different pregnancy. Three pools were constructed for a total of nine embryos from diabetic pregnancies, and independently three pools for control embryos.
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Project description:Cardiomyopathy in type 1 diabetic patients is characterized by early onset diastolic and late onset systolic dysfunction. The mechanism underlying development of diastolic and systolic dysfunction in diabetes remains unknown. We used microarrays to detail the ventricle gene expression changes that underly development of diabetic cardiomyopathy. We identified distinct classes of up-regulated genes during this process. Experiment Overall Design: 150g male Wistar rats (Harlan) we injected with 65 mg/kg streptozotocin to induce Type 1 diabetes. Four replicates of Control and Diabetic rat ventricles were removed and frozen at Three time points for total RNA isolation and hybridization on the Affymetrix RG-U34A microarray. The 3 day samples show a baseline for initial diabetic changes in the ventricle. The 28 day samples show changes associated with diastolic dysfunction in diabetes. The 42 day samples show changes associated with both diastolic and systolic dysfunction in type 1 diabetic rat ventricles.
2007-11-29 | E-GEOD-4745 | biostudies-arrayexpress
Project description:The anti-diabetic drug and agonist of the peroxisome proliferator-activated receptor gamma (Pparg), rosiglitazone, was recently withdrawn in many countries because the drug use was associated with an increased risk of heart failure. To investigate underlying pathomechanisms, we chose 6-month-old apolipoprotein E (apoE)-deficient mice, which are prone to atherosclerosis and insulin resistance, and thereby mimic the risk profile of patients with cardiovascular disease. After 8 weeks of rosiglitazone treatment (30 mg/kg/day), echocardiography and histology analyses demonstrated that rosiglitazone had induced heart failure with cardiac dilation. Concomitantly, cardiac lipid overload and lipid-induced cardiomyocyte death developed. The microarray gene expression study of heart tissue from rosiglitazone-treated apoE-deficient mice relative to untreated apoE-deficient mice and non-transgenic B6 mice identified cardiac Pparg-dependent lipid metabolism genes in rosiglitazone-treated mice, which seem to trigger a major heart failure promoting pathway. Microarray gene expression profiling was performed with heart tissue isolated from three study groups: (i) rosiglitazone-treated 8-month-old apolipoprotein (apoE)-deficient mice with symptoms of heart failure, (ii) untreated 8-month-old apoE-deficient mice, and (iii) age-matched, untreated, non-transgenic B6 control mice.
2011-03-18 | E-GEOD-28031 | biostudies-arrayexpress
Project description:Diabetic embryopathy can affect any developing organ system, although cardiovascular malformations, neural tube defects and caudal dysgenesis syndrome are the most prominent congenital malformations. We hypothesize that the metabolic imbalance occurring in diabetic pregnancy de-regulates tissue specific gene expression programs in the developing embryo. In order to identify genes whose expression is affected by maternal diabetes, we analyzed gene expression profiles of diabetes-exposed mouse embryos by using Affymetrix microarrays. We identified 129 genes with altered expression levels; 21 genes had increased and 108 genes had decreased expression levels in diabetes-exposed embryos relative to controls. A substantial fraction of these genes (35) are essential for normal embryonic development as shown by functional studies in mouse models. The largest fraction of diabetes-affected genes was in transcription factor and DNA-binding/chromatin remodeling functional categories (19%), which directly affect transcription. These findings suggest that transcriptional regulation in the developing embryos is perturbed by maternal diabetes and that transcriptional regulation plays a major role in the responses of embryos to intrauterine exposure to diabetic conditions. Interestingly, we found the expression of hypoxia-inducible factor 1 α (Hif1α) deregulated in the embryos exposed to the conditions of maternal diabetes. Since hypoxic stress is associated with the complications of diabetic pregnancy, we performed a post-hoc analysis of our microarray data with a specific focus on known HIF1 target genes. Of 39 genes detected in our microarrays, the expression changes of 22 genes (20 were increased and two genes were decreased in diabetes-exposed embryos) were statistically significant. These results indicate that HIF1-regulated pathways are affected in diabetes-exposed embryos. These results strongly suggest that de-regulation of hypoxia/HIF1 activated pathways could be the one of the key molecular events associated with the exposure to the teratogenic intrauterine environment of a diabetic mother. Experiment Overall Design: Total RNA was isolated from whole embryos at embryonic day 10.5 (E10.5). Five diabetes-exposed embryos (2 of 5 embryos had neural tube defects; NTD) were compared to two control embryos. Diabetes was induced in female FVB mice (aged 7-9 weeks) by streptozotocin Embryos were isolated only from dams that were classified as diabetic with the blood glucose levels > 250 mg/dl from the mating day until the day of embryo harvest. Five ug of total RNA was reverse-transcribed, and biotin-labeled cRNA probe generated using the Affymetrix labeling kit and protocol per manufacturers instructions. Probes were then hybridized to the Affymetrix 430A 2.0 genome chip with 14,338 genes. Following washing and staining, the chips were scanned using the Affymetrix GeneChip 3000 scanner in Genetic Microarray Core Facility at the University of Nebraska Medical Center. Images were analyzed using Affymetrix GCOS imaging software. Quality metric parameters including noise level, background, and the efficiency of reverse transcription were ascertained for all hybridizations. The expression levels and the âcallâ of âPresentâ, âMarginalâ, âAbsentâ for each probe set were determined by the comparison of the signal intensity of matched and mismatched oligonucleotide probes for the gene sequence.
2009-08-07 | E-GEOD-9675 | biostudies-arrayexpress
Project description:Purpose. Patients with diabetic retinopathy may experience severe vision loss due to macular edema and neovascularization secondary to vascular abnormalities. However, before these abnormalities become apparent, there are functional deficits in contrast sensitivity, color perception, and dark adaptation. The goals of this study are to evaluate early changes (up to 3 months) in retinal gene expression, selected visual cycle proteins, and optokinetic tracking (OKT) in streptozotocin (STZ)-induced diabetic rats.Methods. Retinal gene expression in diabetic Long Evans rats was measured by whole genome microarray 7 days, 4 weeks, and three months after onset of hyperglycemia. Select gene and protein changes were probed by PCR and immunohistochemistry respectively, and OKT thresholds were measured using a virtual optokinetics system. Results. Microarray analysis showed that the most consistently affected molecular and cellular functions were cell-to-cell signaling and interaction, cell death, cellular growth and proliferation, molecular transport, and cellular movement. Further analysis revealed reduced expression of several genes encoding visual cycle proteins including lecithin:retinol acyltransferase (LRAT), retinal pigment epithelium (RPE)-specific protein 65kDa (RPE65) and RPE retinal G protein coupled receptor (RGR). Immunohistochemistry revealed a decrease in RPE65 in the RPE layer of diabetic rats. These molecular changes occurred simultaneously with a decrease in OKT thresholds by 4 weeks of diabetes. Conclusions. The data presented here are further evidence that inner retinal cells are affected by hyperglycemia prior to vasculopathy suggesting that glial and neuronal dysfunction may underlie some of the early visual deficits in diabetics. At each of the three timepoints (day 7, day 28, and day 84) one retina each from three diabetic rats were pooled for analysis on a single microarray chip. Three independent experiments were conducted for each group (n=9 animals/group). Each timepoint contained a hyperglycemic (STZ) and a control (buffer injection only) group. Additionally, on day 7 gene changes in the retina of rats which received a single injection of STZ, but did not develop hyperglycemia (STZ-non-c) were analyzed.
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Project description:OBJECTIVE: To study the genetic regulatory mechanisms in the remote zone of left ventricular (LV) free wall in order to partly explain the more frequent progression to heart failure after acute myocardial infarction (AMI) in diabetic rats. METHODS: 10 weeks after diabetes mellitus (DM) induction with Streptozotocin (STZ), the left anterior descending coronary arteries of uncontrolled diabetic Sprague-Dawley (SD) rats and non-diabetic ones were ligated without reperfusion. Then, the remote zone tissues of LV free wall were taken as samples at day 1, 7, 14, 28, and 56 post AMI. Significant different expression genes were filterd from Affymetrix Genechip U230 2.0 array by GCOS software. Genetic changes post myocardial infarction were classified by hierarchical clustering of 10 gene chips. And then, the differential expressions of 10 selected transcripts identified by the microarray were examined in greater detail by Real Time-PCR. RESULTS: According to hierarchical clustering, we find that the molecular regulatory expression related to cardiac remodeling in the remote zone to myocardial infarction is quite different as time elapses in both diabetic and non-diabetic rats. The gene expression at day 1 and 7 post AMI in both groups is similar, while the genetic changes at day 14 post AMI in diabetic rats and the ones at day 14 and 28 in non-diabetic rats are classified into the same cluster. And then the genetic changes at day 28 and 56 post AMI in diabetic rats and the ones at day 56 in non-diabetic rats are classified into the same cluster. (Figure.1) The patterns of numerous products of genes expression were used in the cluster, including 118 genes, such as leucine-rich PPR-motif containing (IL-6 signaling pathway), procollagen type I, VI, VIII, and XV, fibronectin1, RT1, and TIMP-1, etc. CONCLUSION: The genetic findings in this study might be the possible mechanism that diabetes mellitus can accerate the progression of post-infarction genetic regulatory expression. Experiment Overall Design: All studies were performed with male SD rats (200-220g), aged 8 weeks, which were obtained from laboratorial animal center of Chinese University of Agriculture. DM was induced with a singleintraperitoneal injection of STZ (65 mg/kg in 0.1mmol/L, pH 4.5 sodium citrate buffer) . Age and body weight matched rats that used as non-diabetic controls were injected with the same dose of sodium citrate buffer (0.1mmol/L, pH 4.5). Ultrastructure changes of myocardium were observed 10 weeks after DM induction by TEM. 10 weeks after DM induction,both diabetic and non-diabetic rats were subjected to left anterior descending coronary artery (LADCA) ischemia for 1-56 days without reperfusion. Two-dimensional echocardiography was utilized to obtain LV dimensions and LV percent fractional shortening at baseline, DM 10weeks, and at 1d, 7d, 14d, 28d, 56d after AMI; the remote zone tissues of LV free wall were taken as samples at day 1, 7, 14, 28, and 56 post AMI for gene chip microarray analysis (10 samples from 30 rats); in addition, heart-to-body weight and heart to tibial length ratios and masson's trichrome staining was measured as an index of cardiac hypertrophy and fibrosis at baseline, DM 10weeks, and at 1d, 7d, 14d, 28d, 56d after AMI.
2009-09-12 | E-GEOD-12639 | biostudies-arrayexpress
Project description:Murine models have been valuable instruments in defining the pathogenesis of diabetic nephropathy (DN), but they only partially recapitulate disease manifestations of human DN, limiting their utility . In order to define the molecular similarities and differences between human and murine DN, we performed a cross-species comparison of glomerular transcriptional networks. Glomerular gene expression was profiled in patients with early type 2 DN and in three mouse models (streptozotocin DBA/2 mice, db/db C57BLKS, and eNOS-deficient C57BLKS db/db mice). Species-specific transcriptional networks were generated and compared with a novel network-matching algorithm. Three shared, human-mouse cross-species glomerular transcriptional networks containing 143 (Human-STZ), 97 (Human- db/db), and 162 (Human- eNOS-/- db/db) gene nodes were generated. Shared nodes across all networks reflected established pathogenic mechanisms of diabetic complications, such as elements of JAK-STAT and VEGFR signaling pathways . In addition, novel pathways not formally associated with DN and cross-species gene nodes and pathways unique to each of the human-mouse networks were discovered. The human-mouse shared glomerular transcriptional networks will assist DN researchers in the selection of mouse models most relevant to the human disease process of interest. Moreover, they will allow identification of new pathways shared between mice and humans. We used microarrays to analyze the transcriptome of three different diabetic mouse models Glomerular RNA was extracted using the RNeasy Mini Kit and processed for hybridization on Affymetrix GeneChip Mouse Genome 430 2.0 microarrays.
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