Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Gene expression profile of the neonatal female mouse brain after administration of testosterone propionate.

ABSTRACT: The aim of this study is to investigate the gene expression profiles during masculinization of neonatal female mice brain by exogenous androgen treatment. The results of our expression analysis will shed light on the identification of the key molecules of sexual differentiation of mammalian brain. Expression microarray analysis was performed using the RNAs extracted from the brains of neonatal mice treated with intraperitoneal injection of testosterone propionate during sex determination period of mice brain.

ORGANISM(S): Mus musculus

SUBMITTER: Yasushi Okazaki

PROVIDER: E-GEOD-59375 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Gene expression profile of the neonatal female mouse brain after administration of testosterone propionate.

Nakachi Yutaka Y Iseki Mioko M Yokoo Tomotaka T Mizuno Yosuke Y Okazaki Yasushi Y

The journal of sexual medicine 20150128 4

<h4>Introduction</h4>Clinical care decisions for peripubertal adolescents with gender dysphoria (GD) should be made carefully. Furthermore, the identification of biomarkers is very important for rapid and accurate diagnosis of GD in young people.<h4>Aim</h4>The aim of this study was to investigate gene expression profiles during masculinization of the neonatal female mouse brain by testosterone and to identify biomarkers related to GD.<h4>Methods</h4>Microarray analysis was performed using RNAs ...[more]

PMID: 25630233

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Project description:The role of estrogen and testosterone in the regulation of gene expression in the proximal reproductive tract is not completely understood. To address this question, mice were treated with testosterone or estradiol and RNA from the efferent ducts and caput epididymis was processed and hybridized to Affymetrix MOE 430 2.0 microarrays. Analysis of array output identified probe sets in each tissue with altered levels in hormone treated versus control animals. Hormone treatment efficacy was confirmed by determination of serum hormone levels pre- and post-treatment and observed changes in transcript levels of previously reported hormone-responsive genes. Tissue-specific hormone sensitivity was observed with 2867 and 3197 probe sets changing significantly in the efferent ducts after estrogen and testosterone treatment, respectively. In the caput epididymis, 117 and 268 probe sets changed after estrogen and testosterone treatment, respectively, demonstrating a greater response to hormone in the efferent ducts than the caput epididymis. Transcripts sharing similar profiles in the intact and hormone-treated animals compared with castrated controls were also identified. Ontological analysis of probe sets revealed a significant number of hormone-regulated transcripts encode proteins associated with lipid metabolism, transcription and steroid metabolism in both tissues. Real-time RT-PCR was employed to confirm array data and investigate other potential hormone-responsive regulators of proximal reproductive tract function. The results of this work reveal previously unknown responses to estrogen in the caput epididymis and to testosterone in the efferent ducts as well as tissue specific hormone sensitivity in the proximal reproductive tract. Adult animals were castrated or sham-castrated, allowed to recover for 14 days, and then treated with 0.015 mg estradiol (castrated), 0.015 mg testosterone propionate (castrated), or vehicle (castrated and sham-castrated as biological controls) in duplicate. Efferent duct and caput epididymis was collected from each sample and analyzed. Duplicates are included in the provided data and numbered 1 or 2 for each treatment regimen.

Dataset Information

Gene expression profile of the neonatal female mouse brain after administration of testosterone propionate.

Publications

Gene expression profile of the neonatal female mouse brain after administration of testosterone propionate.

Similar Datasets

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