Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Progesterone level effects on primary metabolites in uterus, blood, and ovaries (Part 1:Plasma)

ABSTRACT: In this experiment a hormonal protocol was applied to control follicle growth to yield larger or smaller preovulatory follicle and CLs and consequently different circulating Progesterone (P4) concentrations during early diestrus. The two different animal's group are: high or low progesterone levels. The effects of these progesterone levels was tested in the blood of the cow.

ORGANISM(S): Cow Bos Taurus

TISSUE(S): Blood

SUBMITTER: Oliver Fiehn

PROVIDER: ST000322 | MetabolomicsWorkbench | Mon Mar 16 00:00:00 GMT 2015

REPOSITORIES: MetabolomicsWorkbench

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	mwtab	Other

Items per page:

1 - 1 of 1

Similar Datasets

Progesterone level effects on primary metabolites in uterus, blood, and ovaries (Part 3:Ovaries)

Project description:In this experiment a hormonal protocol was applied to control follicle growth to yield larger or smaller preovulatory follicle and CLs and consequently different circulating Progesterone (P4) concentrations during early diestrus. The two different animal's group are: high or low progesterone levels. The effects of these progesterone levels was tested in the ovaries (follicle fluid) of the cow.

2015-03-16 | ST000324 | MetabolomicsWorkbench

Progesterone level effects on primary metabolites in uterus, blood, and ovaries (Part 2:Uterine flush)

2015-03-16 | ST000323 | MetabolomicsWorkbench

Transcriptome alterations induced by steroid receptors agonists in primary neurons and astrocytes

Project description:We utilized whole-genome microarrays (Illumina Mouse WG-6) to measure changes in mRNA abundance levels induced by steroid hormones in primary neurons and astrocytes. To stimulate gene expression we treated neuronal and astroglial cultures with glucocorticoid receptor agonist (dexamethasone), mineralocorticoid (aldosterone), progesterone (progesterone), androgen (5α-dihydrotestosterone) and estrogen 2 (β-estradiol). Keywords: Hormonal response

2016-05-01 | GSE78281 | GEO

The Dynamics of the Vaginal Microbiome During Infertility Therapy with In Vitro Fertilization-Embryo Transfer

Project description:Clinical treatment protocols for infertility with in vitro fertilization-embryo transfer (IVF-ET) provide a unique opportunity to assess the human vaginal microbiome in defined hormonal milieu. Herein, we have investigated the association of circulating ovarian-derived estradiol (E2) and progesterone (P4) concentrations to the vaginal microbiome. Thirty IVF-ET patients were enrolled in this study, after informed consent. Blood was drawn at four time points during the IVF-ET procedure. In addition, if a pregnancy resulted, blood was drawn at 4-to-6 weeks of gestation. The serum concentrations of E2 and P4 were measured. Vaginal swabs were obtained in different hormonal milieu. Two independent genome-based technologies (and the second assayed in two different ways) were employed to identify the vaginal microbes. The vaginal microbiome underwent a transition with a decrease in E2 (and/or a decrease in P4). Novel bacteria were found in the vagina of 33% of the women undergoing IVF-ET. Our approach has enabled the discovery of novel, previously unidentified bacterial species in the human vagina in different hormonal milieu. While the relationship of hormone concentration and vaginal microbes was found to be complex, the data support a shift in the microbiome of the human vagina during IVF-ET therapy using standard protocols. The data also set the foundation for further studies examining correlations between IVF-ET outcome and the vaginal microbiome within a larger study population.

2011-10-24 | E-MEXP-2958 | biostudies-arrayexpress

Homo sapiens

Project description:Comparison of gene expresson between larger sized tetraploid and smaller sized diploid HCA2

| PRJNA284597 | ENA

The impact of progesterone levels and timing of progesterone exposure on human endometrial receptivity

Project description:Different progesterone levels and timing of exposure results in different endometrial gene expression and implantation potential. Sufficient progesterone level is important to induce endometrial receptivity and endometrial expressed the most receptive stage after exposure to progesterone for 7 days based on decidualisation marker expression.

2020-03-12 | GSE146777 | GEO

RNA-Seq of human cell lines Ishikawa, MCF7 and T47D treated with estrogen, progesterone and their antagonists

Project description:In this study the effect of estrogen (E2) and progesterone (P4) and their antagonists Tamoxifen, and Mifepristone (RU486) were assesed in endometrial epithelial cell line Ishikawa and compared to breast cancer cell lines MCF7 and T47D. Concentrations used for E2 and P4 treatments were 10 -8 M and for antagonists 10 -6 M. RNA-Sequencing (Illumina GenomeAnalyzer IIe) was applied to study global gene expression in three different cell lines. Expression values after hormonal or antagonist treatments in two different time points (3h and 12h) were compared to non-treated cells.

2012-01-05 | E-MTAB-822 | biostudies-arrayexpress

Expression level comparison under dividing and quiescent states in human primary fibroblasts

Project description:To identify genes with different expression levels in dividing and quiescent cells, mRNA-sequencing was done in both conditions for human primary fibroblasts (HCA2-hTert).

2018-01-01 | GSE86867 | GEO

The Extracellular Vesicles Proteome of Endometrial Cells Simulating the Receptive Menstrual Phase Differs from That of Endometrial Cells Simulating the Non-Receptive Menstrual Phase

Project description:Successful embryo implantation into a receptive endometrium requires mutual endometrial-embryo communication. Recently, the function of extracellular vehicles (EVs) in cell-to-cell interaction in embryo-maternal interactions has been investigated. We explored isolated endometrial derived EVs, using RL95-2 cells as a model of a receptive endometrium, influenced by menstrual cycle hormones estrogen (E2; proliferative phase) progesterone (P4; secretory phase) and estrogen plus progesterone (E2P4; the receptive phase). EV sized particles were isolated by differential centrifugation and size exclusion chromatography. Nanoparticle tracking analysis was used to examine the different concentration and size of particles and EV proteomic analysis per-formed using shotgun label-free mass spectrometry. Our results showed that although endome-trial derived EVs were secreted in numbers independent of hormonal stimulation, EVs sizes were statistically modified by it. Proteomics analysis showed that hormone treatment changes affect the endometrial EVs proteome, with proteins enhanced within the EV E2P4 group shown to be in-volved in different processes such as embryo implantation, endometrial receptivity, and embryo development, supporting the concept of a communication system between the embryo and the maternal endometrium via EVs.

2023-02-13 | PXD039764 | Pride

Hormonal regulation of cervix transcript expression in the menstrual cycle

Project description:The aim of this study was to identify hormonally regulated genes and their related biological pathways in the rhesus macaque cervix during the menstrual cycle. The cervix is the gateway for gamete passage, which is driven by hormonal regulation with progesterone (P) suppressing the passage of gametes. Contraceptives that are progesterone based change the cervix. Progestogen only contraception is reported to act by suppressing ovulation and/or altering cervical mucus secretion. In order to further investigate novel contraceptive targets and their pathways, a microarray was used to discover genes in the cervix that are suppressed under varying lengths of exposure to progesterone throughout an artificial menstrual cycle.

2018-02-13 | GSE110476 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data