Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling by array of mouse oviduct, uterus and vagina treated with DES from new born mice to understand the mechanism of the differentiation of female reproductive tracts

ABSTRACT: Diethylstilbestrol (DES) inhibits the differentiation of female reproductive tracts during fetal and neonatal days . We examined global gene expressions in the oviduct, uterus and vagina in newborn mice with or without DES. These results suggest understanding the mechanism of the differentiation of female reproductive tracts. Keywords: ordered

ORGANISM(S): Mus musculus

SUBMITTER: Atsuko Suzuki

PROVIDER: E-GEOD-1886 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Gene expression change in the Müllerian duct of the mouse fetus exposed to diethylstilbestrol in utero.

Suzuki Atsuko A Urushitani Hiroshi H Sato Tomomi T Kobayashi Tomohiro T Watanabe Hajime H Ohta Yasuhiko Y Iguchi Taisen T

Experimental biology and medicine (Maywood, N.J.) 20070401 4

In utero exposure to diethylstilbestrol (DES) induces various abnormalities in the Müllerian duct of the mouse. In order to understand the underlying molecular mechanisms associated with DES-induced abnormalities of the Müllerian duct, gene expression was examined on Gestation Day (GD) 19 in mouse fetuses exposed to DES (67 microg/kg body weight) from GDs 10 to 18. Microarray analysis revealed that 387, 387, and 225 genes were upregulated and 177, 172, and 75 genes were downregulated by DES in t ...[more]

PMID: 17392486

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Project description:In internally fertilizing organisms, mating involves a series of highly coordinated molecular interactions between the sexes that occur within the female reproductive tract. In species with promiscuous mating systems, traits involved in postcopulatory interactions are expected to evolve rapidly, potentially leading to postmating-prezygotic (PMPZ) reproductive isolation between diverging populations. Here, we use a novel study design to investigate the postmating transcriptional response of Drosophila mojavensis female reproductive tracts following copulation with either conspecific or heterospecific (D. arizonae) males at three time points postmating. Relatively few genes (15 total) were transcriptionally regulated in the female lower reproductive tract in response to conspecific mating. Heterospecifically-mated females exhibited significant perturbations in the expression of the majority of these genes, and also downregulated transcription of a number of others, including several involved in mitochondrial function. These striking regulatory differences indicate failed postcopulatory molecular interactions between the sexes consistent with the strong PMPZ isolation observed for this cross. We also report, for the first time, the transfer of male mRNA transcripts to females during copulation. These included transcripts from male accessory-gland proteins (ACPs), a finding with potentially broad implications for understanding postcopulatory molecular interactions between the sexes. Dataset from Postmating transcriptional changes in reproductive tracts of con- and heterospecifically-mated Drosophila mojavensis females Bono, JM, Matzkin,LM, Kelleher, ES, and Markow, MA, Proceedings of the National Academy of Sciences, USA. The treatments were con- and heterospecific mated D. mojavensis females. Three different post-copulation times points were assayed, 15 minutes, 2 hours and 6 hours. For each time point there were two independent replicates. Additionally, two replicates of a virgin D. mojavensis female control were assayed. A total of 14 arrays. All RNA extractions were from the lower reproductive tract of females.

Dataset Information

Transcription profiling by array of mouse oviduct, uterus and vagina treated with DES from new born mice to understand the mechanism of the differentiation of female reproductive tracts

Publications

Gene expression change in the Müllerian duct of the mouse fetus exposed to diethylstilbestrol in utero.

Similar Datasets

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