Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Maternal Transcriptomic Regulation of the Preimplantation Embryo

Igenomix · 2016
ClinicalTrials.gov · Datasets · License: Public Domain · 2016
Open Source ↗
epigeneticmicrornasobesitytobaccotranscriptomic
The aim of this study is to understand the epigenetic and transcriptomic mechanisms that regulate the fetal origin of adult diseases (FOAD), either for the presence of metabolic disorders in the future mothers, such as obesity or for the exposure to certain contaminants such as tobacco. To do that, the miRNAs profiles secreted to the endometrial fluid in obese women vs normoweight women during the window of implantation will be identified. Likewise, it will be studied how that miRNA signature is normalized once a substantial loss of weight is produced by the patients involved in the studied. In parallel, a comparison of the miRNA expression profiles secreted in the endometrial fluid in smoker women vs nonsmoker women will be performed. As in the previous case, it will be studied if after the exposure to these contaminant, the normalization of the miRNA expression signature occurs. Finally, an in silico analysis will be carried out in order to define the target genes and the metabolic pathways affected by the miRNAs profile secreted in both pathological conditions
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 800796
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive