Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of mouse placental labyrinth and human villus tree

ABSTRACT: An important question for the use of the mouse as a model for studying human disease is the degree of functional conservation of genetic control pathways from human to mouse. The human placenta and mouse placenta show structural similarities but there has been no systematic attempt to assess their molecular similarities or differences. We built a comprehensive database of protein and microarray data for the highly vascular exchange region micro-dissected from the human and mouse placenta near-term. Abnormalities in this region are associated with two of the most common and serious complications of human pregnancy, maternal preeclampsia (PE) and fetal intrauterine growth restriction (IUGR), each disorder affecting ~5% of all pregnancies. To compare the gene expression patterns in the vascular exchange regions of the human (villus tree) and mouse (labyrinth) placenta. Experiment Overall Design: Mouse labyrinth tissue was micro-dissected form naturally mated crosses of C57Bl/6J mice. Placentas were individually dissected on embryonic day 17.5. From each litter ¼ of the tissue were set aside for RNA extraction and microarray analysis and ¾ for cellular fractionation and proteomic analysis, as recently described (Kislinger et al., 2006). Human villous trees were dissected from term normal placenta delivered by cesarean section from a term pregnancy (~ 38 weeks). Tissue was divided for organellar fractionation and RNA extraction.

ORGANISM(S): Mus musculus

SUBMITTER: Brian Joseph Cox

PROVIDER: E-GEOD-13155 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:AIMS/HYPOTHESIS: Pregnancies complicated by diabetes have a higher risk of adverse outcomes for mothers and children, including predisposition to disease later in life, such as metabolic syndrome and hypertension. We hypothesized that adverse outcomes from diabetic pregnancies may be linked to compromised placental function. Our goal in this study was to identify cellular and molecular abnormalities in diabetic placenta. METHODS: Using a mouse model of diabetic pregnancy, placental gene expression was assayed at midgestation and cellular composition was analyzed at various stages. Genome-wide expression profiling was validated by quantitative PCR, and tissue localization studies were performed to identify cellular correlates of altered gene expression in diabetic placenta. RESULTS: We detected significantly altered gene expression in diabetic placenta for genes expressed in the maternal as well as those in the embryonic compartments. We also found altered cellular composition of the decidual compartment. Furthermore, the junctional and labyrinth layers were reduced in diabetic placenta, accompanied by aberrant differentiation of spongiotrophoblast cells. CONCLUSIONS/INTERPRETATION: Diabetes during pregnancy alters transcriptional profiles in the murine placenta, affecting cells of both embryonic and maternal origin, and involving several genes not previously implicated in diabetic pregnancies. The molecular changes and abnormal differentiation of multiple cell types precede impaired growth of junctional zone and labyrinth, and placenta overall. Whether these changes represent direct responses to hyperglycaemia or physiological adaptations, they are likely to play a role in pregnancy complications and outcomes, and have implications for developmental origins of adult disease. The STZ diabetic mouse model was used to investigate gene expression changes in diabetic placentae at E10.5. Placentae were dissected from 5 different FVB dams at embryonic day 10.5 under diabetic conditions and from 5 control dams. Gene expression profiles from five individual placentae from independent pregnancies per group were compared.

Project description:Healthy placental development is essential for reproductive success; failure of the feto-maternal interface results in preeclampsia and intrauterine growth retardation. We found that grainyhead-like 2 (GRHL2), a CP2-type transcription factor, is highly expressed in chorionic trophoblast cells, including basal chorionic trophoblast (BCT) cells located at the chorioallantoic interface in murine placentas. Placentas from Grhl2-deficient mouse embryos displayed defects in BCT cell polarity and basement membrane integrity at the chorioallantoic interface, as well as a severe disruption of labyrinth branchingmorphogenesis.Selective Grhl2 inactivation only in epiblastderived cells rescued all placental defects but phenocopied intraembryonic defects observed in global Grhl2 deficiency, implying the importance of Grhl2 activity in trophectoderm-derived cells. ChIPseq identified 5282 GRHL2 binding sites in placental tissue. By integrating these data with placental gene expression profiles, we identified direct and indirect Grhl2 targets and found a marked enrichment of GRHL2 binding adjacent to genes downregulated in Grhl2−/− placentas, which encoded known regulators of placental development and epithelial morphogenesis. These genes included that encoding the serine protease inhibitor Kunitz type 1 (Spint1), which regulates BCT cell integrity and labyrinth formation. In human placenta, we found that human orthologs of murine GRHL2 and its targets displayed co-regulation and were expressed in trophoblast cells in a similar domain as in mouse placenta. Our data indicate that a conserved Grhl2-coordinated gene network controls trophoblast branching morphogenesis, thereby facilitating development of the site of feto-maternal exchange. This might have implications for syndromes related to placental dysfunction. In vivo genome-wide examination of binding sites of the transcription factor GRHL2 by ChIP-seq using wild-type murine E17.5 placenta tissue. Two samples in total: one GRHL2 ChIP sample and one IgG ChIP sample using wild-type placentas tissue as antibody control.

Dataset Information

Transcription profiling of mouse placental labyrinth and human villus tree

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets