Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Assessing the influence of distinct IVF culture media on human pre-implantation development using single-embryo transcriptomics

ABSTRACT: The use of Assisted Reproductive Technologies (ART) is rising consistently across the world. However, making an informed consent on the choice of which embryo culture media should be preferred to ensure satisfactory success rates and the future children to be healthy lacks scientific knowledge. Particularly, embryos within their first days are highly sensitive to their micro-environment with limited stress tolerance mechanisms. Here, we aimed to determine whether culture media that differed markedly in their composition used before compaction would affect gene expression and subsequent human embryonic development.

ORGANISM(S): Homo sapiens

PROVIDER: GSE212811 | GEO | 2023/06/19

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Assessing the influence of distinct IVF culture media on human pre-implantation development using single-embryo transcriptomics

Project description:Assessing the influence of distinct IVF culture media on human pre-implantation development using single-embryo transcriptomics

| PRJNA877455 | ENA

MicroRNAs secreted by human embryos are potential biomarkers for clinical outcomes of assisted reproductive techniques

Project description:MicroRNAs (miRNAs) are important regulators of many biological functions, including embryo implantation and development. Recently, it is reported that miRNAs in biofluids are predictive for physiological and pathological processes. In this study, we aim to investigate whether the miRNAs secreted by human embryos in culture medium can be used as embryonic biomarkers. The culture media were prospectively collected from embryos of patients who underwent routine in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) at reproductive medicine center with informed consent. A high-throughput miRNA sequencing method was applied to detect the miRNAs profiles in culture media of embryos with different reproductive outcomes. Compared with embryos with failed pregnancy, the embryos with successful pregnancy secreted different miRNA profiles into the culture media. These differentially expressed miRNAs were predicted to be involved in multiple biological processes, cellular components and molecular functions. After bioinformatics analysis, 18 miRNAs were selected for validation by quantitative real-time polymerase chain reaction (qRT-PCR) and droplet digital PCR (ddPCR). We found that the cleavage embryos with successful pregnancy presented decreased expression of hsa-miR-26b-5p and hsa-miR-21-5p in the culture media. Moreover, the Receiver Operating Characteristic (ROC) curve analysis indicated that hsa-miR-26b-5p and hsa-miR-21-5p could serve as potential biomarkers for reproductive outcomes. Together, our findings highlight the important predictive potential of miRNAs secreted by human embryos in culture media, which is meaningful for noninvasive embryo selection during IVF cycles.

2020-02-28 | GSE142824 | GEO

MicroRNA expression profiling of human adipose stromal cell (hASC) adipogenesis

Project description:Human abdominal adipose tissue was obtained with informed consent from a 33-year old Caucasian female (BMI = 32.96 Kg/m2) undergoing lipoaspiration. Adipose stromal cells (hASCs) were isolated and differentiated into adipocytes in vitro.

2010-09-30 | GSE20699 | GEO

Expression profiling of human adipose stromal cell (hASC) adipogenesis

2010-09-30 | GSE20697 | GEO

Gene Expression Profiling of Oral Squamous Cell Carcinoma

Project description:Gene Expression Profiling of Oral Squamous Cell Carcinoma (OSCC) was performed to delineate candidate genes clusters with potential to distinguish normal and tumor tissue from oral cavity. All tissue samples were collected after obtaining written informed consent.

2011-10-30 | GSE23558 | GEO

Dal81 regulates expression of arginine biosynthesis genes in Candida parapsilosis

Project description:Transcriptional profiling of Candida parapsilosis in media with a preferred nitrogen source (ammonium sulfate) and a non-preferred source (isoleucine) to identify genes that are subject to Nitrogen Catabolite Expression. Gene expression of wild type and dal81 deletion strains were compared during growth in complex nitrogen sources (YPD), in minimal media with a preferred nitrogen source (YNB+ammonium sulfate) and minimal medium with a non-preferred source (GABA).

2018-02-09 | GSE109034 | GEO

Array CGH analysis of Oral Squamous Cell Carcinoma

Project description:Array Comparative Genomic Hybridization (CGH) profiling of Oral Sqaumaous Cell Carcinoma (OSCC) was performed to delineate candidate non-random chromosomal loci associated with clinico-pathological parameters. The array CGH hybridizations were performed for 60 OSCC samples with pooled gender matched controls. All tissue samples were collected after obtaining written informed consent.

2011-03-11 | GSE23831 | GEO

lung carcinoid

Project description:Global gene expression of 13 frozen samples, 6 from typical and 7 from atypical surgically resected primary lung carcinoids All the patients not chemo-radio naïve and with a second tumor were excluded from the study. A written informed consent for research use of biological samples was obtained from all the patients.

2013-02-08 | GSE35679 | GEO

Does dysbiotic endometrium affect blastocyst implantation in IVF patients?

Project description:PurposeTo analyze the pregnancy outcomes of IVF patients presenting eubiotic or dysbiotic endometrium at the time of embryo transfer and to analyze what bacterial profiles are suitable for embryo implantation.MethodsNinety-nine IVF patients under 40 years old undergoing vitrified-warmed blastocyst transfer in HRT cycle had concurrent endometrial microbiome analysis. Samples from the endometrium were taken from the participants at the time of mock transfer; the bacterial profiles at genus level and percentage of lactobacilli in the endometrium of the patients were analyzed.ResultsThirty-one cases (31.3%) had dysbiotic endometrium. The background profiles, pregnancy rates per transfer (52.9% vs 54.8%), and miscarriage rates (11.1% vs 5.9%) were comparable between patients with eubiotic or dysbiotic endometrium. Major bacterial genera other than Lactobacillus detected in the dysbiotic endometrium were Atopobium, Gardnerella, and Streptococcus. Some patients achieved ongoing pregnancies with 0% Lactobacillus in the endometrium. The endometrial bacterial profiles of pregnant cases with dysbiotic endometrium were comparable with those of non-pregnant cases.ConclusionAnalyzing microbiota at the species-level resolution may be necessary for identifying the true pathogenic bacteria of the endometrium and avoiding over-intervention against non-Lactobacillus microbiota. Further studies are necessary for analyzing the mechanism of how the pathogenic bacteria affect embryo implantation.

| S-EPMC6910901 | biostudies-literature

Genome-wide DNA methylation analysis of leukoplakia and oral cancers

Project description:Genomewide DNA methylation profiling of oral leukoplakia and oral sqamous cell carcinoma (OSCC) was performed to delineate candidate gene associated with progression and clinicopathological parameters. All tissue samples were collected after obtaining written informed consent. The DNA methylation profile of 74 OSCC and 22 leukoplakia were compared with 22 normal control tissues from healthy donor.

2023-06-05 | GSE204943 | 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