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Home › Dataset Library › Transcription profiling of human placentae of different gestational ages: an opru network and uw scor study

Dataset: Transcription profiling of human placentae of different gestational ages: an opru network and uw scor study

We used a whole genome approach to identify major functional gene categories (including xenobiotic transporters and metabolizing enzymes)...

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We used a whole genome approach to identify major functional gene categories (including xenobiotic transporters and metabolizing enzymes) whose expression depends on gestational age. STUDY DESIGN: We compared gene expression profiles of 1st (45-59 days) and 2nd trimester (109-115 days), and C-section term placentae. RESULTS: In 1st trimester placentae, genes related to cell cycle, DNA, aminoacids and carbohydrate metabolism were significantly overrepresented, while genes related to signal transduction were downregulated. In the organism defense category, we identified genes involved in chemical response, metabolism, and transport. Analysis of signal transduction pathways suggested, and subsequently confirmed independently, that the Wnt pathway was regulated by gestational age. CONCLUSIONS: Our study will serve as a reference database to gain insight into the regulation of gene expression in the developing placentae and, thus, allow comparisons with placentae from complicated pregnancies such as those in women experiencing gestational diabetes, pre-eclampsia and teratogenic sequelae. Experiment Overall Design: Comparison of plaental gene expression profiles of three gestational stages (1st trimester (45-59 days), 2nd trimester (109-115 days), and C-section term placentae), with four replicates each,

Species:
human

Samples:
12

Source:
E-GEOD-9984

Updated:
Dec.12, 2014

Registered:
Sep.22, 2014


Factors: (via ArrayExpress)
Sample
GSE9984GSM252349
GSE9984GSM252350
GSE9984GSM252351
GSE9984GSM252352
GSE9984GSM252353
GSE9984GSM252354
GSE9984GSM252355
GSE9984GSM252356
GSE9984GSM252357
GSE9984GSM252358
GSE9984GSM252359
GSE9984GSM252360

Tags

  • carbohydrate
  • cell
  • eclampsia
  • genome
  • gestational diabetes
  • pre-eclampsia

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