Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Key circular RNAs identified in male osteoporosis patients by whole transcriptome sequencing

ABSTRACT: Background: Osteoporosis (OP) is a systemic disease with bone loss and microstructural deterioration. Numerous noncoding RNAs have been proved to participate in various diseases, especially for circular RNAs (circRNAs). However, the expression profile and hidden mechanisms of circRNAs in male osteoporosis have not been explored yet. Methods: Here we investigated the whole transcriptome expression profile and differences of mRNAs, circRNAs and miRNAs in peripheral blood samples of patients with osteoporosis and healthy controls of male with age larger than 60 years old. Results: A total of 398 circRNAs, 51 miRNAs and 642 mRNAs were identified that were significant differentially expressed in osteoporosis compared with healthy controls. GO and KEGG enrichment analysis showed the host genes of significantly differentially expressed circRNAs were mainly enriched in regulation of cell cycle process BP, organelle part CC, protein binding MF and Toll-like receptor signaling pathway, TNF signaling pathway and Thyroid hormone signaling pathway. circRNA-miRNA-mRNA regulatory network was constructed using the differentialy expressed RNAs. Moreover, key circRNAs in osteoporosis were discovered further and validated by qPCR, such as hsa_circ_0042409. Those key cicrRNAs may play an important role in the pathogenesis of osteoporosis and could be used as potential biomarkers or targets in the diagnosis and treatment of osteoporosis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE159121 | GEO | 2020/10/07

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Identification of exosomal circRNAs as potential biomarkers for postmenopausal osteoporosis

Project description:Background: Osteoporosis is one of the most common chronic diseases around the world, especially in postmenopausal women. Circular RNAs (circRNAs) are emerging as important regulators in human disease. The aim of the present study was to analyze circRNA expression profiles in osteoporosis and to explore the clinical significance. Methods: The serum samples were collected from osteoporosis patients and healthy people. The circRNA array was performed to screen for differentially expressed circRNAs. The mRNA expression levels of target genes were analyzed by quantitative real-time PCR (qRT-PCR). Results: Hsa_circ_0006859 was identified as one of the most upregulated circRNAs in the microarray analysis. Hsa_circ_0006859 in exosome was upregulated in osteoporosis patients compared with healthy controls. Hsa_circ_0006859 could differentiate osteopenia or osteoporosis patients from healthy controls with high sensitivity and specificity. Conclusion: Exosomal hsa_circ_0006859 is a potential biomarker for postmenopausal osteoporosis.

2020-11-13 | GSE161361 | GEO

Identification and characterization of MCF01A circular RNAs [RNA-seq]

Project description:Circular RNAs (circRNAs) are widespread circular forms of non-coding RNAs with largely unknown function. Because stimulation of mammary cells with the epidermal growth factor (EGF) leads to dynamic changes in the abundance of both coding and non-coding RNA molecules, and culminates in the acquisition of a robust migratory phenotype, this cellular model might disclose functions of circRNAs. Here we show that circRNAs of EGF-stimulated mammary cells are stably expressed, while mRNAs and micro-RNAs change within minutes. In general, the circRNAs we detected are relatively long-lived and weakly expressed. Interestingly, they are almost ubiquitously co-expressed with the corresponding linear transcripts, and the respective, shared promoter regions are more active compared to genes producing linear isoforms only. These findings imply that altered abundance of circRNAs, unlike changes in the levels of other RNAs, might not play critical roles in signaling cascades and downstream transcriptional networks that rapidly commit cells to specific outcomes. Detection of circRNAs from RNA-Seq â triplicate

2015-12-17 | E-GEOD-71195 | biostudies-arrayexpress

Identification and characterization of MCF01A circular RNAs [ChIP-seq]

2015-12-17 | E-GEOD-71196 | biostudies-arrayexpress

Identification of circRNA-miRNA-mRNA network and primary blast lung injury-related circRNAs in mouse

Project description:Background. Primary blast lung injury (PBLI) was the main cause of death for blast injury patients, however, there is no diagnosis and effective treatment for PBLI in clinical practice. Circular RNAs (circRNAs) is becoming new regulators of various diseases, and the performance of circRNAs in PBLI remain largely unknown. This study aimed to investigate the PBLI-related circRNA, to provide a new idea for the PBLI diagnosis and treatment. Methods. The differentially expressed (DE) circRNAs and mRNAs profile were screened by transcriptome high throughput sequencing. The differentially expressed circRNA linear transcripts and mRNAs were used to performed GO and KEGG pathway enrichment to investigate the potential function. The circRNA-miRNA-mRNA network was based on DE circRNA-miRNA pairs and PBLI-related mRNAs-miRNA pairs. Results. A total of 117 circRNAs and 681 mRNAs were aberrantly expressed in PBLI, including 64 up-regulated and 53 down-regulated circRNAs, and 315 up-regulated and 366 down-regulated mRNAs. GO and KEGG analysis revealed that the up-regulated circRNAs might involve MAPK signaling pathways, and down-regulated circRNAs might involve in the TGF-β signaling pathway. And the differentially expressed mRNAs might involve TNF signaling pathway and fanconi anemia pathway. A total of 89 PBLI-related circRNAs and 156 circRNAs-miRNA-mRNA interactions were predicted, these circRNAs might involve in the inflammation, oxidative stress or DNA damage repair in PBLI. Conclusion. This study reveals the circRNA-miRNA-mRNA network based on altered expression of circRNAs and mRNA in PBLI. Our results may provide information about the occurrence of PBLI and new ideas for diagnosing and treating PBLI.

2023-11-21 | GSE195726 | GEO

Role of circNFKB1 in cartilage degeneration of knee osteoarthritis and its mechanism

Project description:Circular RNAs (circRNAs) are covalently closed single-stranded RNA molecules produced by reverse splicing of the precursor mRNAs of thousands of gene exons in eukaryotes. Some circRNAs play potentially important roles at the molecular level through different modes of action in physiological and pathological conditions. In recent years, it has been found that differentially expressed circRNAs are present in chondrocyte degeneration in OA and are able to modulate the inflammatory response in chondrocyte degeneration. However, the molecular mechanisms of how circRNAs regulate the inflammatory response during chondrogenic degeneration in OA have not been adequately studied. Are there other circRNAs involved in regulating the inflammatory response during knee OA chondrocyte degeneration and are there other molecular mechanisms by which circRNAs regulate chondrocyte degeneration? These scientific questions deserve relevant studies.

2022-10-15 | PXD033469 | Pride

Exosomal RNA expression profiles and their prediction performance in gestational diabetes mellitus patients with macrosomia

Project description:Exosomal RNAs in cord blood may allow intercellular communication between maternal and fetus. We aimed to establish exosomal RNA expression profiles in cord blood exosomes from gestational diabetes mellitus (GDM) patients with macrosomia.We used microarray technology to establish the differential mRNA, lncRNA and circRNA expression profiles in cord blood exosomes from GDM patients with macrosomia compared with normal controls. A total of 98 mRNAs, 372 lncRNAs and 452 circRNAs were differentially expressed in cord blood exosomes from GDM patients with macrosomia. Pathway analysis showed the differential genes were associated with PI3K-Akt signaling pathway, JAK-STAT signaling pathway, TGF-beta signaling pathway, insulin resistance, glycerolipid metabolism, fatty acid degradation and mTOR signaling pathway. These results showed that exosomal RNAs are aberrantly expressed in the cord blood of GDM patients with macrosomia.

2022-01-21 | GSE194119 | GEO

rat bladder LC-MS/MS proteomics

Project description:Objective: Bladder outlet obstruction (BOO) is a common urologic disease associated with poorly understood molecular mechanisms. This study aimed to investigate the possible involvements of circRNAs (circular RNAs) and circRNA-encoded proteins in BOO development. Methods: The rat BOO model was established by the partial bladder outlet obstruction surgery. Differential expression of circRNA and protein profiles were characterized by deep RNA sequencing and iTRAQ quantitative proteomics respectively. Novel proteins encoded by circRNAs were predicted through ORF (open reading frame) selection using the GETORF software and verified by the mass spectrometry in proteomics, combined with the validation of their expressional alterations by quantitative RT-PCR. Results: Totally 3051 circRNAs were differentially expressed in bladder tissues of rat BOO model with widespread genomic distributions, including 1414 up-regulated and 1637 down-regulated circRNAs. Our following quantitative proteomics revealed significant changes of 85 proteins in rat BOO model, which were enriched in multiple biological processes and signaling pathways such as the PPAR and Wnt pathways. Among them, 21 differentially expressed proteins were predicted to be encoded by circRNAs and showed consistent circRNA and protein levels in rat BOO model. The expression of five protein-encoding circRNA were further validated by quantitative RT-PCR and mass spectrometry. Conclusion: The circRNA and protein profiles were substantially altered in rat BOO model, with great expressional changes of circRNA-encoded novel proteins.

2022-02-22 | PXD029337 | Pride

RNA sequencing of circular RNAs, long non-coding RNAs ,and mRNAs in human keloid dermal tissues

Project description:Keloid is a dermal fibroproliferative disease with various etiologies and unclear pathogenesis. Recent studies have revealed that circular RNAs (circRNAs) and long non-coding RNAs (lncRNAs) exerted regulatory functions through a competing endogenous RNA (ceRNA) pathway in keloid progression. However, the expression profiles of circRNAs and lncRNAs in keloid dermal tissues (KDTs) remain unknown. This study aimed to identify differentially expressed circRNAs, lncRNAs and genes in KDTs.

2023-09-07 | GSE212954 | GEO

Sex chromosome aneuploidies give rise to changes in the circular RNA profile

Project description:Purpose The landscape of circular RNAs (circRNAs), an important class of non-coding RNAs that regulate gene expression, has never been described in human disorders of sex chromosome aneuploidies. We profiled circRNAs in Turner syndrome females (45,X;TS) and Klinefelter syndrome males (47,XXY; KS) to investigate how circRNAs respond to a missing or an extra X chromosome. Methods Samples of blood, muscle and fat were collected from individuals with TS (n = 33) and KS (n = 22) and from male (n = 16) and female (n = 44) controls. CircRNAs were identified using a combination of circRNA identification pipelines (CIRI2, CIRCexplorer2 and circRNA_finder). Results Differential expression of circRNAs was observed throughout the genome in TS and KS, in all tissues. The host-genes from which several of these circRNAs were derived, were associated with known phenotypic traits. Furthermore, several differentially expressed circRNAs had the potential to capture micro RNAs that targeted protein-coding genes with altered expression in TS and KS. Conclusion Sex chromosome aneuploidies introduce pervasive changes in the circRNA transcriptome, demonstrating that the genomic changes in these syndromes are more complex than hitherto thought. CircRNAs may help explain some of the genomic and phenotypic traits observed in these syndromes.

| EGAS00001006404 | EGA

Profiling and bioinformatics analyses reveal differential expression of circular RNA in tongue cancer revealed by high-throughput sequencing

Project description:Circular RNAs (circRNA) are special non-coding RNAs. They are widely present, but with unknown functions. Recent studies have shown that many endogenous circRNAs have sponge function to absorb microRNAs. They can regulate target gene mRNA expression and play important roles in many biological processes. However, expression profile and function of circRNAs in human TSCC haven’t been reported. High-throughput sequencing was performed to identify and annotate from three TSCC tissues and adjacent tissues. A separate set (n=20) of human TSCCs and corresponding adjacent tissues were subjected to RT-PCR for validation of circular RNAs expression profile. GO functional analysis, KEGG pathway analysis, and circRNA–microRNA network analysis were also performed to predict the function of circRNA in TSCC.A total of 12,156 circRNAs were identified and annotated, most of the circRNAs were novel (n=6,231) and exonic (62.09%). Statistical analysis revealed 322 differentially expressed (DE) circRNAs. RT-PCR results showed that circRNA expression in TSCC was higher than that in adjacent tissues. GO functional analysis, KEGG pathway analysis, and circRNA–microRNA network analysis all showed that circRNAs correlated with tumor development and progression to a certain extent. The present study is the first to systematically characterize and annotate circRNA expression in TSCC, the majority were novel circRNAs. Some host genes of the DE circRNAs were involved in tumor signaling pathway and had complicated correlations with tumor-relevant microRNAs, indicating that circRNAs might be promoted development and progression of TSCC.

2018-12-31 | GSE118750 | 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