Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Alteration of circRNA Expression in rDFCs During Osteogenic Differentiation

ABSTRACT: Alteration of circRNA Expression in rDFCs During Osteogenic Differentiation

PROVIDER: PRJNA514019 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Alteration of circRNA Expression in rDFCs During Osteogenic Differentiation

Project description:Circular RNAs (circRNAs) are novel among noncoding RNAs and play crucial roles in various biological processes. However, little is known about the functions of circRNAs during osteogenic differentiation. The current study aimed to investigate the differential expression of circRNAs in rat dental follicle cells (rDFCs) upon osteogenic medium culture. Those potential circRNAs were identified by RNA high-throughput sequencing and quantitative real-time polymerase chain reaction (qRT-PCR). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to further explore circRNA biofunctions. 266 differentially-expressed circRNAs were revealed and involved in several important signaling pathways, which include MAPK and TGF-β signaling pathways. Among these, circFgfr2 and its predicted downstream targets, miR-133 and BMP6, were identified both in vivo and in vitro. For further validation, circFgfr2 was overexpressed during osteogenic differentiation, bringing about the down-regulation of miR-133 and the up-regulation of BMP6. Taken together, the results revealed the circRNA expression profiles and indicate the importance of circRNAs during the osteogenic differentiation of rDFCs. In addition, circFgfr2 might promote osteogenesis by controlling miR-133/BMP6, which possibly provide new target to manipulate tooth regeneration and bone formation.

2019-01-10 | GSE124851 | GEO

Expression profiling of microRNAs during osteogenic differentiation of human MSCs

Project description:Expression profiling of microRNAs during osteogenic differentiation of human MSCs

| PRJNA622951 | ENA

Sexual dimorphism in osteogenic differentiation

Project description:Sexual dimorphism in osteogenic differentiation

| PRJNA768873 | ENA

Temporal Profiling of Epitranscriptomic Reader, Writer and Eraser Proteins during Osteogenic Differentiation of Human Embryonic Stem Cells

Project description:Osteogenesis is the process of bone formation and is modulated by multiple regulatory networks. With the rapid development of the epitranscriptomics field, RNA modifications and their reader, writer, and eraser (RWE) proteins are shown to be involved in the regulation of various biological processes. Few studies, however, were conducted to investigate the functions of RNA modifications and their RWE proteins in osteogenesis. By using a parallel-reaction monitoring (PRM)-based targeted proteomics method, we performed a comprehensive quantitative assessment of 154 epitranscriptomic RWE proteins during the time course of osteogenic differentiation of H9 human embryonic stem cells (ESCs). We found that approximately half of the 126 detected RWE proteins were downregulated during osteogenic differentiation, and they included mainly those proteins involved in RNA methylation and pseudouridine synthesis. Protein-protein interaction (PPI) network analysis revealed a high connectivity between the downregulated epitranscriptomic RWE proteins and osteogenesis-related proteins. Gene set enrichment analysis of previously published RNA-seq data from osteogenesis imperfecta patients suggested a potential role of METTL1, the top-ranked hub protein of downregulated RWE proteins, in osteogenesis through the cytokine network. Together, this is the first targeted profiling of epitranscriptomic RWE proteins during osteogenic differentiation of human ESCs and our work unveiled potential regulatory roles of these proteins in osteogenesis.

2023-05-23 | PXD039249 | Pride

Changes of miRNAs during osteogenic differentiation of PDGFRa+ mesenchymal progenitors derived from human skeletal muscle

Project description:Comprehensive analyses of miRNAs expression were performed using miRNA microarrays during osteogenic differentiation of PDGFRa+ mesenchymal progenitors isolated from human skeletal muscle to identify miRNAs that are involved in osteogenesis of PDGFRa+ mesenchymal progenitors. PDGFRa+ mesenchymal progenitors were isolated from the gluteus medius muscles of two different patients, and then subjected to osteogenic induction. Expression of miRNAs was examined using miRNA microarrays at the time points of one week and two weeks after osteogenic induction and were compared with that of uninduced cells.

2013-08-01 | E-GEOD-39361 | biostudies-arrayexpress

Expression profiling of expressed RNAs during osteogenic differentiation of human donor mesenchymal stromal cells

Project description:Transriptome profiling to examine mRNA and lncRNA expression during osteogenic differentiation was completed in MSCs from 5 young, healthy male donors.

2023-12-07 | GSE185951 | GEO

Extracellular vesicles from osteogenic differentiated human BMSCs

Project description:Pathological processes like osteoporosis or steroid-induced osteonecrosis of the hip are accompanied by increased bone marrow adipogenesis. Such disorder of adipogenic/osteogenic differentiation, which affects also bone marrow derived mesenchymal stem cells (BMSCs) contributes to bone loss during aging. Therefore, we investigated the effects of extracellular vesicles (EVs) isolated from human (h)BMSCs during different stages of osteogenic differentiation on osteogenic and adipogenic differentiation capacity of naïve hBMSCs.

2022-10-14 | PXD035845 | Pride

miRNA expression profifile during osteogenic differentiation of hPDLSCs was analyzed using microarray

Project description:The roles of miRNA in osteogenic differentiation of human periodontal ligament stem cells (hPDLSCs) remain largely unexplored. In this study, the underlying molecular mechanism of osteogenic differentiation in hPDLSCs is investigated using microarray profiling.

2020-10-19 | GSE159508 | GEO

Gene expression profifile during osteogenic differentiation of hPDLSCs was analyzed using microarray

Project description:The roles of lncRNAs and mRNAs in osteogenic differentiation of human periodontal ligament stem cells (hPDLSCs) remain largely unexplored. In this study, the underlying molecular mechanism of osteogenic differentiation in hPDLSCs is investigated using microarray profiling.

2020-10-19 | GSE159507 | GEO

Comparative analysis of proteomes and secretomes of human mesenchymal stem cells isolated from six sources during osteogenic differentiation

Project description:Ability to perform osteogenic differentiation is one of the minimal criteria of mesenchymal stem cells (MSCs). Still, it is generally unknown whether osteogenic differentiation is universal cell fate or various phenotypically similar cell states. Besides this, MSCs and their secretomes are actively using for cell/cell-free therapy development, but systemic inter-source variation in MSCs secretomes, proteomes and differentiation mechanisms are still poorly understood. Therefore, here we compared proteomic and secretomic profiles of human mesenchymal cells from six sources: osteoblasts (bone), WJ-MSCs (Warton’s jelly), AD-MSCs (adipose), PDLSCs (tooth: Periodontal Ligament Stem Cells), DPSCs (tooth: Dental Pulp Stem Cells) and GFs (tooth: Gingival Fibroblasts). For experiments we used cells in early passages (3-5) isolated from 3-6 individuals. All cells were compared in standard cultivation and in the 10th day after induction of osteogenic differentiation.

2023-11-05 | PXD037320 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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