Dataset Information

SECRETORY PROTEOMIC RESPONSES OF ENDOMETRIAL EPITHELIAL CELLS TO TROPHOBLAST DERIVED EXTRACELLULAR VESICLES

ABSTRACT: Synchronized cross talk between embryo and endometrium during pre-implantation period is critical for establishment of pregnancy. Extracellular vesicels(EVs) of both embryo and endometrial origin are known to be integral in regulating embryo maternal communication during this time. However, exact molecular signalling pathways or factors that regulate the embryo endometrial communication during pre-conception period remains elusive. Here in this study extracellular vesicles from trophoblast cells were shown to modulate endometrial epithelial cell secretome in favour of embryo implantation and embryo development.

INSTRUMENT(S): Q Exactive Plus

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Epithelial Cell, Cell Culture

SUBMITTER: SUBHASHINI MUHANDIRAM MUHANDIRAM RALALAGE

LAB HEAD: Alireza Fazeli

PROVIDER: PXD040311 | Pride | 2023-10-24

REPOSITORIES: Pride

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Publications

Secretory Proteomic Responses of Endometrial Epithelial Cells to Trophoblast-Derived Extracellular Vesicles.

Muhandiram Subhashini S Dissanayake Keerthie K Orro Toomos T Godakumara Kasun K Kodithuwakku Suranga S Fazeli Alireza A

International journal of molecular sciences 20230725 15

Synchronized crosstalk between the embryo and endometrium during the periconception period is integral to pregnancy establishment. Increasing evidence suggests that the exchange of extracellular vesicles (EVs) of both embryonic and endometrial origin is a critical component of embryo-maternal communication during peri-implantation. Here, we investigated whether embryonic signals in the form of EVs can modulate the endometrial epithelial cell secretome. Receptive endometrial analog RL95-2 cells w ...[more]

PMID: 37569298

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Project description:The developmental origins of adult disease are now recognized to reflect intrauterine conditions during embryonic and fetal life. Cell-cell communication between the maternal endometrium and the pre-implantation embryo can occur by several means. Here, we show that maternal miRNAs are secreted by the endometrial epithelium to the endometrial fluid. Microarray assessments revealed the presence of specific miRNAs that are associated with the window of implantation and therefore in direct contact with the human preimplantation embryo. These miRNAS are transported as free or exosome-associated molecules secreted to the endometrial fluid and then uptake into the pre-implantation embryo through the trophoectoderm. Finally, these maternal miRNAs were able to induce transcriptional and functional modifications of the embryo. Therefore, we propose an innovative model whereby endometrial maternal miRNAS may function as transcriptomic regulators during early embryo development offering a new perspective on the developmental origins of adult diseases such as obesity, type 2 diabetes, and others that are now recognized to reflect intrauterine conditions. The B6C3F1 mice strain was purchased. Female mice aged 6M-bM-^@M-^S8 weeks were primed to ovulate by administering 10 IU pregnant mare serum gonadotropin(Sigma-Aldrich, Irvine, UK), followed by administration of 10 IU hCG(Sigma-Aldrich, Irvine, UK), 48 hours later. Females were housed overnight with male breeders and examined the following morning for the presence of a vaginal plug (day 1 of pregnancy). On day 2 of pregnancy, mice were sacrificed by cervical dislocation, and embryos flushed with PBS from the oviduct using a blunt 30-gauge needle. Then, embryos were cultured in CCM-30 medium (Vitrolife, Lubeck, Germany) in presence or absence of 400nM of mir-30d MIMIC or Scramble-Alexa 488 for 72 hours. Then embryos are four times washed in fresh CCM. Experiment were carried out by triplicate and with 30 embryos/condition

Dataset Information

SECRETORY PROTEOMIC RESPONSES OF ENDOMETRIAL EPITHELIAL CELLS TO TROPHOBLAST DERIVED EXTRACELLULAR VESICLES

Publications

Secretory Proteomic Responses of Endometrial Epithelial Cells to Trophoblast-Derived Extracellular Vesicles.

Similar Datasets

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