Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Capture and metabolomic analysis of the human endometrial epithelial organoid secretome

ABSTRACT: We report the isolation and metabolomic profiling of human endometrial epithelial intra-organoid and extra-organoid fluids, derived from organoids, in turn derived from 3 donors, and subjected to a brief hormonal [estradiol (e2)] exposure. rna-sequencing was conducted on the cells from which organoid fluids were sampled.

ORGANISM(S): Homo sapiens

PROVIDER: GSE166289 | GEO | 2021/02/07

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Capture and metabolomic analysis of the human endometrial epithelial organoid secretome

Project description:Capture and metabolomic analysis of the human endometrial epithelial organoid secretome

| PRJNA700066 | ENA

Capture and metabolomic analysis of the human endometrial epithelial organoid secretome.

Project description:Suboptimal uterine fluid (UF) composition can lead to pregnancy loss and likely contributes to offspring susceptibility to chronic adult-onset disorders. However, our understanding of the biochemical composition and mechanisms underpinning UF formation and regulation remain elusive, particularly in humans. To address this challenge, we developed a high-throughput method for intraorganoid fluid (IOF) isolation from human endometrial epithelial organoids. The IOF is biochemically distinct to the extraorganoid fluid (EOF) and cell culture medium as evidenced by the exclusive presence of 17 metabolites in IOF. Similarly, 69 metabolites were unique to EOF, showing asymmetrical apical and basolateral secretion by the in vitro endometrial epithelium, in a manner resembling that observed in vivo. Contrasting the quantitative metabolomic profiles of IOF and EOF revealed donor-specific biochemical signatures of organoids. Subsequent RNA sequencing of these organoids from which IOF and EOF were derived established the capacity to readily perform organoid multiomics in tandem, and suggests that transcriptomic regulation underpins the observed secretory asymmetry. In summary, these data provided by modeling uterine luminal and basolateral fluid formation in vitro offer scope to better understand UF composition and regulation with potential impacts on female fertility and offspring well-being.

| S-EPMC8053979 | biostudies-literature

Integrated microRNA and secretome analysis of human endometrial organoid reveal the miR-3194-5p/Aquaporin/S100A9 module in regulating trophoblast functions

Project description:We adopted the endometrial organoid model to simulate the hormonal conditions in the menstrual cycle and early gestation. We then established the first secretome profiles and miRNA atlas of these endometrial organoid in relation to their hormonal changes. We demonstrated for the first time that the miR-3194-5p/S100A9 axis is a key regulator of trophoblast invasion during early pregnancy.

2022-03-15 | GSE197738 | GEO

Precision Chemotherapy Based on Organoid Drug Sensitivity for Colorectal Cancer

Project description:The purpose of this study is to investigate whether chemotherapy guided by patient-derived tumor organoid drug test can improve the outcomes of stage IV colorectal cancer.

| 58056 | ecrin-mdr-crc

Bulk RNA-seq of MilliporeSigma 3DGro human patient-derived gastrointestinal organoid lines compared to SCC300 human iPSC-derived colon organoid line

Project description:Transcriptomic profiles of 6 commercially-available human patient-derived gastrointestinal organoid lines were obtained and compared to transcriptomic profile of a commercially available human iPSC-induced colon organoid line. Transcriptomic profile of iPSC-derived human colon organoid line was compared after culture in either Corning growth-factor-reduced Matrigel (Corning 356231) or MilliporeSigma growth-factor-reduced ECMGel (E6909)

2022-03-31 | E-MTAB-11557 | biostudies-arrayexpress

Metabolomic

Project description:Metabolomic

| OEX00021176 | NODE

Patient-derived breast cancer organoid study

Project description:Patient-derived breast cancer organoid study

| PRJNA786253 | ENA

Patient-derived breast cancer organoid study

Project description:Patient-derived breast cancer organoid study

| PRJNA786254 | ENA

Metabolomic heterogeneity of severe pulmonary arterial hypertension

Project description:Although multiple gene and protein expression have been extensively profiled in human pulmonary arterial hypertension (PAH), the mechanism for the development and progression of pulmonary hypertension remains elusive. Analysis of the global metabolomic heterogeneity within the pulmonary vascular system leads to a better understanding of disease progression. Using a combination of high-throughput liquid-and-gas-chromatography-based mass spectrometry, we showed unbiased metabolomic profiles of disrupted glycolysis, increased TCA cycle, and fatty acid metabolites with altered oxidation pathways in the severe human PAH lung. The results suggest that PAH has specific metabolic pathways contributing to increased ATP synthesis for the vascular remodeling process in severe pulmonary hypertension. These identified metabolites may serve as potential biomarkers for the diagnosis of severe PAH. By profiling metabolomic alterations of the PAH lung, we reveal new pathogenic mechanisms of PAH in its later stage, which may differ from the earlier stage of PAH, opening an avenue of exploration for therapeutics that target metabolic pathway alterations in the progression of PAH. Global profiles were determined in human lung tissue and compared across 11 normal and 12 severe pulmonary arterial hypertension patients. Using a combination of microarray and high-throughput liquid-and-gas-chromatography-based mass spectrometry, we showed unbiased metabolomic profiles of disrupted glycolysis, increased TCA cycle, and fatty acid metabolites with altered oxidation pathways in the severe human PAH lung.

2014-11-14 | E-GEOD-53408 | biostudies-arrayexpress

Validation study of colorectal cancer treatment effect prediction by metabolomic markers

Project description:Primary outcome(s): Best clinical response (RECIST 1.1) Serum concentration of metabolomic markers

| 2652805 | ecrin-mdr-crc