Screening of differentially expressed circulating microRNAs during osteoporosis
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE91033 | GEO | 2019/12/08
REPOSITORIES: GEO
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Project description:Osteoporosis is a significant health concern, and the role of microRNAs (miRNAs) in cell growth and development regulation is well recognized. High-throughput sequencing technology is widely employed in current research. This study aimed to identify and validate miRNAs associated with osteoporosis. Bone specimens were collected from patients with osteoporosis (n=3) and without osteoporosis (n=3). High-throughput sequencing was utilized to screen for miRNAs, followed by analysis using volcano maps, Wayne maps, gene ontology (GO) analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. The identified miRNAs were further confirmed using qRT-PCR. Sequencing analysis revealed 12 down-regulated and five upregulated miRNAs in osteoporosis. GO and KEGG analysis indicated the association of these miRNAs with bone metabolism. qRT-PCR results demonstrated a significant decrease in miR-140-5p, miR-127-3p, miR-199b-5p, miR-181a-5p, miR-181d-5p, and miR-542-3p (all P<0.05) in osteoporosis compared to controls, while miR-486-3p and miR-486-5p exhibited a significant increase (P<0.05). This study utilized high-throughput sequencing to identify differential miRNA expression in individuals with osteoporosis. Specifically, six miRNAs (miR-140-5p, miR-127-3p, miR-199b-5p, miR-181a-5p, miR-181d-5p, and miR-542) showed decreased expression, whereas two miRNAs (miR-486-3p and miR-486-5p) exhibited increased expression. The differential expression of these miRNAs may serve as predictive indicators, potentially aiding in the prognosis and management of osteoporosis.
2024-08-28 | GSE273345 | GEO
Project description:Initial screening, the expression of 125 mature miRNA was compared between pooled control and autism samples by two microarray analysis. The differential expression of 14 miRNA was further validated by SYBR green quantitative PCR of Individual samples. Thirteen miRNAs were differentially expressed in autistic individuals compared to the controls (8 upregulated and 5 down regulated). miR-151a-3p, miR-181b-5p, miR-320a, miR-328, miR-433, miR-489, miR-572, and miR-663a were downregulated, while miR-101-3p, miR-106b-5p, miR-130a-3p, miR-195-5p, and miR-19b-3p were upregulated. We have identified a set of serum miRNAs that could be used as non-invasive biomarkers for autism.
2014-06-27 | GSE58849 | GEO
Project description:Initial screening, the expression of 125 mature miRNA was compared between pooled control and autism samples by two microarray analysis. The differential expression of 14 miRNA was further validated by SYBR green quantitative PCR of Individual samples. Thirteen miRNAs were differetially expressed in autistic individuals compared to the controls (8 upregulated and 5 down regulated). miR-151a-3p, miR-181b-5p, miR-320a, miR-328, miR-433, miR-489, miR-572, and miR-663a were downregulated, while miR-101-3p, miR-106b-5p, miR-130a-3p, miR-195-5p, and miR-19b-3p were upregulated. We have identified a set of serum miRNAs that could be used as non-invasive biomarkers for autism.
2014-06-27 | GSE58848 | GEO
Project description:Initial screening, the expression of 125 mature miRNA was compared between pooled control and autism samples by two microarray analysis. The differential expression of 14 miRNA was further validated by SYBR green quantitative PCR of Individual samples. Thirteen miRNAs were differetially expressed in autistic individuals compared to the controls (8 upregulated and 5 down regulated). miR-151a-3p, miR-181b-5p, miR-320a, miR-328, miR-433, miR-489, miR-572, and miR-663a were downregulated, while miR-101-3p, miR-106b-5p, miR-130a-3p, miR-195-5p, and miR-19b-3p were upregulated. We have identified a set of serum miRNAs that could be used as non-invasive biomarkers for autism.
2014-06-27 | GSE58847 | GEO
Project description:WNT signaling is fundamental to bone health and its aberrant activation leads to skeletal pathologies. A heterozygous missense mutation p.C218G in WNT1, a key WNT pathway ligand, leads to severe early-onset osteoporosis with multiple peripheral and spinal fractures. Despite the severe skeletal manifestations, conventional bone markers are normal in mutation-positive patients. The objective of this study was to find novel biomarkers that differentiate between WNT1 mutation-positive and -negative subjects. We evaluated serum levels of 192 miRNAs in 12 mutation-positive (median age 39 years, range 11-76 years) and 12 mutation-negative (35 years, range 9-59 years) subjects from two Finnish families. The results indicate significant differences in circulating miRNA profiles with 2 upregulated (miR-18a-3p, miR-223-3p) and 6 downregulated miRNAs (miR-22-3p, miR-31-5p, miR-34a-5p, miR-143-5p miR-423-5p, miR 423-3p) in the mutation-positive subjects. Three of these (miR-22-3p, miR-34a-5p, and miR-31-5p) are known inhibitors of WNT signaling: miR-22-3p and miR-34a-5p target WNT1 mRNA and miR-31-5p is predicted to bind to the WNT1 3’UTR. Our results suggest that the WNT1 mutation disrupts a feed-back regulation between these miRNAs and WNT1, providing new insights into the pathogenesis of WNT-related bone disorders. Future studies are warranted to explore the potential diagnostic and therapeutic applications of these findings in osteoporosis.
2018-03-29 | GSE103473 | GEO
Project description:Background: Patients with glioblastoma (GBM) have a dramatically poor prognosis. The recent REGOMA trial suggested an overall survival benefit of regorafenib in recurrent GBM patients. Considering the extreme genetic heterogeneity of GBMs, we aimed to identify molecular biomarkers predictive of differential response to the drug. The study provides evidence that a signature based on the expression of five biomarkers could help identifying a subgroup of GBM patients exhibiting a striking survival advantage when treated with regorafenib. Despite the presented results must be confirmed in larger replication cohorts, the study highlights potential biomarker options to help guiding the clinical decision among regorafenib and other treatments in patients with relapsing GBM. Methods.Total RNA was extracted from tumor samples of patients enrolled in the REGOMA trial. Genome-wide transcriptome and miRNA profiles were associated with patients' Overall Survival (OS) and Progression Free Survival (PFS). Results. At first step, a set of 11 gene transcripts (HIF1A, CTSK, SLC2A1, KLHL12, CDKN1A, CA12, WDR1, CD53, CBR4, NIFK-AS1, RAB30-DT) and 10 miRNAs (miR-93-5p, miR-203a-3p, miR-17-5p, let-7c-3p, miR-101-3p, miR-3607-3p, miR-6516-3p, miR-301a-3p, miR-23b-3p, miR-222-3p) was filtered by comparing survival between regorafenib and lomustine arms. As second step, a minisignature of two gene transcripts (HIF1A, CDKN1A) and three miRNAs (miR-3607-3p, miR-301a-3p, miR-93-5p) identified a subgroup of patients showing prolonged survival after regorafenib administration (median OS range 10.6 - 20.8 months). Conclusions. The study provides evidence that a signature based on the expression of five biomarkers could help identifying a subgroup of GBM patients exhibiting a striking survival advantage when treated with regorafenib. Despite the presented results must be confirmed in larger replication cohorts, the study highlights potential biomarker options to help guiding the clinical decision among regorafenib and other treatments in patients with relapsing GBM.
2020-12-31 | GSE154042 | GEO
Project description:Background: Patients with glioblastoma (GBM) have a dramatically poor prognosis. The recent REGOMA trial suggested an overall survival benefit of regorafenib in recurrent GBM patients. Considering the extreme genetic heterogeneity of GBMs, we aimed to identify molecular biomarkers predictive of differential response to the drug. The study provides evidence that a signature based on the expression of five biomarkers could help identifying a subgroup of GBM patients exhibiting a striking survival advantage when treated with regorafenib. Despite the presented results must be confirmed in larger replication cohorts, the study highlights potential biomarker options to help guiding the clinical decision among regorafenib and other treatments in patients with relapsing GBM. Methods.Total RNA was extracted from tumor samples of patients enrolled in the REGOMA trial. Genome-wide transcriptome and miRNA profiles were associated with patients' Overall Survival (OS) and Progression Free Survival (PFS). Results. At first step, a set of 11 gene transcripts (HIF1A, CTSK, SLC2A1, KLHL12, CDKN1A, CA12, WDR1, CD53, CBR4, NIFK-AS1, RAB30-DT) and 10 miRNAs (miR-93-5p, miR-203a-3p, miR-17-5p, let-7c-3p, miR-101-3p, miR-3607-3p, miR-6516-3p, miR-301a-3p, miR-23b-3p, miR-222-3p) was filtered by comparing survival between regorafenib and lomustine arms. As second step, a minisignature of two gene transcripts (HIF1A, CDKN1A) and three miRNAs (miR-3607-3p, miR-301a-3p, miR-93-5p) identified a subgroup of patients showing prolonged survival after regorafenib administration (median OS range 10.6 - 20.8 months). Conclusions. The study provides evidence that a signature based on the expression of five biomarkers could help identifying a subgroup of GBM patients exhibiting a striking survival advantage when treated with regorafenib. Despite the presented results must be confirmed in larger replication cohorts, the study highlights potential biomarker options to help guiding the clinical decision among regorafenib and other treatments in patients with relapsing GBM.
2020-12-31 | GSE154041 | GEO
Project description:We found a total of 110 known miRNAs were identified by aligning the sequencing data with the known C. carpio miRNAs listed in miRBase 20.0. From 29 known miRNAs that were differentially expressed in low- and high-temperature groups, as compared with in control group, we selected 10 (let-7a, miR-135c, miR-184, miR-203a-3p, miR-210-3p, miR-27d, miR-301a, miR-92b-3p, miR-187 and miR-10d-5p) for validation by quantitative real-time PCR. Bioinformatics tools were used to predict the potential target genes of differentially expressed miRNAs. Gene Ontology and KEGG enrichment analysis indicated that the miRNAs may play important roles in metabolism and processing information about the environment, thus enabling common carp to adapt to their immediate environment. Specifically, we considered the insulin-signaling pathway and glycerophospholipid metabolism pathways. The results show that the gpam gene was negatively regulated by miR-301a and miR-27d, and miR-210 was negatively regulated by the prkaa1 gene in the insulin-signaling pathway. In glycerophospholipid metabolism pathways, the psid and agpat3 genes were negatively regulated by miR-302b-5p and miR-9-5p, respectively; the cdipt and gpam genes were negatively regulated by miR-27d; and the pgs1 gene was negatively regulated by miR-92b-3p and miR-155. These findings suggest that significant changes occur in the energy metabolism and metabolic processes associated with components of the cell membrane of carp at different environmental temperatures. The new data provide a foundation for further studies of the role of miRNAs in environmental adaptation in fish and may help to identify novel targets for additional study, with applications for reducing environmental stress in farmed fish.
2019-05-21 | GSE114714 | GEO
Project description:MiRNAs regulate posttranscriptional gene expression and are widely implicated in the pathogenesis of complex diseases. We aim to elucidate miRNA regulation of the atrial mRNA signatures that associate with AF. This may provide novel mechanistical insights and candidate targets for therapies using miRNA mimics or antimiRs.
We present combined miRNAs-mRNAs sequencing in atrial tissues of patient without AF (n=22), with paroxysmal AF (n=22) and with persistent AF (n=20). MiRNA and mRNA signatures followed an ordinal scale from nonAF to paroxysmal to persistent AF patients. The previously reported mRNA sequencing identified 5228 differentially expressed genes involved in epithelial to mesenchymal transition, endothelial cell proliferation and extracellular matrix remodelling involving collagens, glycoproteins and proteoglycans. We discovered 103 differentially expressed miRNAs. Key downregulated miRNAs included miR-135b-5p, miR-138-5p, miR-200a-3p, miR-200b-3p and miR-31-5p and key upregulated miRNAs were miR-144-3p, miR-15b-3p, miR-182-5p miR-18b-5p, miR-4306 and miR-206. The expression levels of differentially expressed miRNAs were negatively correlated with the expression levels of their predicted target mRNAs. The downregulated miRNAs demonstrated a more profound transcriptome effect than the upregulated miRNAs. Upregulated biological processes enriched in miRNAs targets related to epithelial and endothelial cell migration and glycosaminoglycan biosynthesis, in line with the processes discovered by the mRNA sequencing analysis.
Combined analysis of miRNA and mRNA sequencing uncovered miRNAs with a broad transcriptional effect in human AF. Epithelial to mesenchymal transition and endothelial cell proliferation were processes controlled by downregulated miR-135b-5p, miR-138-5p, miR-200a-3p, miR-200b-3p and miR-31-5p, which in turn may contribute to (myo)fibroblast activation and structural remodeling.\
| EGAS00001005296 | EGA
Project description:iPSC-derived neurons were treated with mimics and inhibitors of the miRNAs miR-150-5p, hsa-mir-193a-3p and hsa-miR-19b-3p.
RNA-sequencing was then performed to examine the effects of miRNA up-regulation and inhibition.
| EGAD00001006844 | EGA