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Unfavorable maternal diet during pregnancy can predispose the offspring to diseases later in life, such as hypertension, metabolic syndrome, and obesity. However, the molecular basis for this phenomenon of "developmental programming" is poorly understood. We have recently shown that a diet nutritionally optimized for pregnancy can nevertheless be harmful in the context of diabetic pregnancy in the mouse, associated with a high incidence of neural tube defects and intrauterine growth restriction. We hypothesized that placental abnormalities may contribute to impaired fetal growth in these pregnancies, and therefore investigated the role of maternal diet in the placenta. LabDiet 5015 diet was associated with reduced placental growth, commencing at midgestation, when compared to pregnancies in which the diabetic dam was fed LabDiet 5001 maintenance chow. Furthermore, by quantitative RT-PCR we identify 34 genes whose expression in placenta at midgestation is modulated by diet, diabetes, or both, establishing biomarkers for gene-environment interactions in the placenta. These results implicate maternal diet as an important factor in pregnancy complications and suggest that the early phases of placenta development could be a critical time window for developmental origins of adult disease.
Pubmed ID: 22701643
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View all literature mentionsWelcome to Michael Eisens lab in the Howard Hughes Medical Institute (HHMI) at University of California at Berkeley (UCB) and the Lawrence Berkeley National Lab (LBNL). We are part of the Department of Molecular and Cell Biology of UCB and the Genomics Division of LBNL, and the. We are located in Stanley Hall on the Berkeley campus.Our lab applies computational and experimental genomic approaches to study how genome sequences specify organismal form and function. We are particularly interested in the regulation of gene expression, and focus on how the information that specifies when and where genes are expressed is encoded in genome sequences, the role that regulated gene expression plays in animal development and the response of microbes to their environments, and how variation in and evolution of gene expression contributes to phenotypic variation and the remarkable diversity of life on Earth. This site contains a more detailed description of our research projects, an introduction to members of the lab, reprints of all of our publications, free downloadable and web-based software. Sponsor. Experimental work described here was supported by a Howard Hughes Medical Institute Investigator award to MBE and by National Institutes of Health (NIH) grant GM704403 to MBE and MDB. Computational analyses were supported in by NIH grant HG002779 to MBE. Work at Lawrence Berkeley National Laboratory was conducted under Department of Energy contract DE-AC02-05CH11231. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
View all literature mentionsSoftware R package. Methods for Cluster analysis. Performs variety of types of cluster analysis and other types of processing on large microarray datasets.
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