Project description:The mouse uterine microenvironment at pregnancy D7.5 was investigated by Visium spatial transcriptome. Ten distinct uterine microenvironments were identified with diverse biological functions, different endocrine regulations and intensive interactions. The single cell RNA-seq of D7.5 mouse uterus has been intergrated with the spatial visium results and predicted the presence of mutiple types of cells in each microenvironment.
Project description:The mouse uterine microenvironment at pregnancy D7.5 was investigated by Visium spatial transcriptome. Ten distinct uterine microenvironments were identified with diverse biological functions, different endocrine regulations and intensive interactions. The single cell RNA-seq of D7.5 mouse uterus has been intergrated with the spatial visium results and predicted the presence of mutiple types of cells in each microenvironment.
Project description:To define the vast landscape of mice pregnancy and labor/parturition associated gene expression transitions, wild type FVB mice uterine tissues from the non-pregnant state (NP) and at E6.5, E8.5, E10.5, E15.5 and E17.5 were analysed using gene expression microarray
Project description:To capture the global gene changes associated with pregnancy experience, uterine tissues were collected on day 8 of pregnancy from mice during the first pregnancy and second pregnancy, respectively. Transcriptomes were determined by RNA-seq. Identifying global gene changes associated with pregnancy experience
Project description:To capture the global gene changes associated with pregnancy experience, uterine tissues were collected on day 8 of pregnancy from mice during the first pregnancy and second pregnancy, respectively. Transcriptomes were determined by RNA-seq.
Project description:Low fertility remains a leading cause of poor productivity in dairy cattle. In this context, there is significant interest in developing novel tools for accurate early diagnosis of pregnancy. MicroRNAs (miRNAs) are short RNA molecules which are critically involved in regulating gene expression during both health and disease. MiRNAs have been shown to regulate ovarian function, uterine receptivity, embryonic development and placental function. Circulating miRNAs can provide useful biomarkers of tissue function and disease; importantly, differential miRNA profiles have been linked to pregnancy and preeclampsia in humans. This study sought to establish the potential of circulating miRNAs as biomarkers of early pregnancy in cattle. We applied Illumina small-RNA sequencing to profile miRNAs in plasma samples collected from eight non-pregnant heifers on Days 0, 8 and 16 of the oestrous cycle and 11 heifers on Days 16 and 24 of pregnancy. We sequenced a total of 46 samples and generated 9.2 million miRNA reads per sample. There were no differences in miRNA read abundance between any of the pregnant and non-pregnant time-points (FDRâ>â0.1). As a complementary approach, we analysed sample pools (3-4 samples/pool) corresponding to Days 0, 8 and 16 of the oestrous cycle and Day 24 of pregnancy (nâ=â3 pools/group) using Qiagen PCR arrays. A total of 16 miRNAs were differentially expressed (FDRâ<â0.1) in plasma between pregnant and non-pregnant animals. RT-qPCR validation using the same plasma samples confirmed that miR-26a was differentially upregulated on Day 16 pregnant relative to non-pregnant heifers (1.7-fold; Pâ=â0.043), whereas miR-1249 tended to be upregulated in Day 16 pregnant heifers (1.6-fold; Pâ=â0.081). Further validation in an independent group of heifers confirmed an increase in plasma miR-26a levels during early pregnancy, which was significant only on Day 24 (2.0-fold; Pâ=â0.027). Through genome-wide analyses we have successfully profiled plasma miRNA populations associated with early pregnancy in cattle. We have identified miR-26a as a potential circulating biomarker of early pregnancy. Sequencing of three sequencial samples from each of eight cycling animals (Days 0, 8 and 16, total 24 samples) and two samples from each of 11 pregnant animals (Days 16 and 24, total 22 samples). Main comparisons were between non-pregnant and pregnant groups
Project description:Embryo implantation is a complex process which involves biochemical and physiological interactions between an implantation-competent blastocyst and a receptive uterus. However, the exact biochemical changes of uterine fluid, uterus, and plasma during peri-implantation remain unclear. This study aims to characterize the biochemical and metabolic changes that occur during the peri-implantation period of early pregnancy, using mice as an animal model. Gas chromatography-mass spectrometry was used to analyze the metabolite profiles of the uterus, uterine fluid, and maternal plasma at pre-implantation and implantation. The multivariate analyses, ANOVA and Tukey's HSD test, were applied to detect significant changes in metabolites and metabolic pathways. The metabolic networks were reconstructed in silico based on the identified metabolites and KEGG metabolic framework. Between pre-implantation day 1 and day 4, dramatic metabolic changes were observed in the uterine fluid that could be important for blastocyst development and protection against the harsh uterine environment. Palmitoleic acid, fumaric acid, and glutaric acid changed levels at day 4 in the uterus, suggesting that they may be associated with endometrial receptivity. Both the uterus and maternal plasma showed profound changes in cellular metabolism at the early implantation period, including upregulation of branched-chain amino acids and intermediates of one-carbon metabolism, an upregulation of glyoxylate and dicarboxylate metabolism, and downregulation of aerobic respiration; all of which could be involved in the regulation of the maternal-fetal interface, alternative nutrient utilization, and energy preservation for implantation as well as later placentation and fetal development to ensure successful embryo implantation.