scholarly journals miR-98-5p as a Novel Biomarker Suppress Liver Fibrosis by Targeting TGFβ Receptor 1

2021 ◽  
Author(s):  
Yanhua Ma ◽  
xiaoxue yuan ◽  
Ming Han ◽  
Kai Han ◽  
Pu Liang ◽  
...  
Keyword(s):  
Liver Fibrosis ◽  
Signaling Pathway ◽  
Target Genes ◽  
Enrichment Analysis ◽  
Hbv Infection ◽  
Differentially Expressed ◽  
Control Group ◽  
Chronic Hbv Infection ◽  
Differentially Expressed Mirnas ◽  
Chronic Hbv

Abstract Hepatic fibrosis is the repair reaction of excessive deposition and abnormal distribution of extracellular matrix after various liver injuries, especially chronic HBV infection, which is a key step in the development of various chronic liver diseases to cirrhosis. Recent studies show that microRNAs (miRNAs) can regulate a series of liver fibrosis-related gene express and play an important role in the development of liver fibrosis. To detect the miRNAs expression profiling and to screen the differentially expressed miRNAs in patients with HBV-related liver fibrosis, the whole blood was collected from the HBV-related liver fibrosis patients (S2/3, n=8) based on Scheuer’s staging criteria. In addition, healthy volunteers(n=7) served as the control group. The expression of plasma miRNAs was detected by IlluminaHiSeq sequencing. Cluster analysis and target genes prediction of differentially expressed miRNAs were performed. Gene ontology (GO) enrichment analysis and KEGG pathway enrichment analysis of differentially expressed miRNAs target genes were performed. Compared with the healthy control group 77 miRNAs were screened out from the liver fibrosis group, among which 51 miRNAs were up-regulated and 26 miRNAs were down-regulated. Pathway annotations for the target genes of the miRNAs identified were found that it participated in many signal pathways including MAPK signaling pathway, TNF signaling pathway, Notch signaling pathway, phosphatidylinositol signal system and so on. According to the bioinformatic analysis, miR-98-5p were selected for function research among the differentially expressed miRNAs.MiR-98-5p prevents liver fibrosis by targeting TGFβR1 and blocking TGF β1/Smad3 signaling pathway. In addition, serum miR-98-5p levels were measured from a total of 70 recruited patients with chronic HBV infection and 29 healthy individuals as controls. We found that serum miR-98-5p level was significantly lower in patients with live fibrosis than in healthy controls and HBV carriers (P<0.05). Those results suggest that miR-98-5p could be a potential therapeutic target for liver fibrosis.

scholarly journals miR-98-5p as a Novel Biomarker Suppress Liver Fibrosis by Targeting TGFβ Receptor 1

2021 ◽  
Author(s):  
Yanhua Ma ◽  
xiaoxue yuan ◽  
Ming Han ◽  
Kai Han ◽  
Pu Liang ◽  
...  
Keyword(s):  
Liver Fibrosis ◽  
Signaling Pathway ◽  
Target Genes ◽  
Enrichment Analysis ◽  
Hbv Infection ◽  
Differentially Expressed ◽  
Control Group ◽  
Chronic Hbv Infection ◽  
Differentially Expressed Mirnas ◽  
Chronic Hbv

Abstract Hepatic fibrosis is the repair reaction of excessive deposition and abnormal distribution of extracellular matrix after various liver injuries, especially chronic HBV infection, which is a key step in the development of various chronic liver diseases to cirrhosis. Recent studies show that microRNAs (miRNA) can regulate a series of liver fibrosis-related gene express and play an important role in the development of liver fibrosis. To detect the miRNAs expression profiling and to screen the differentially expressed miRNAs in patients with HBV-related liver fibrosis, the whole blood was collected from the HBV-related liver fibrosis patients (F2/3, n=10) based on Scheuer’s staging criteria. In addition, healthy volunteers (n=8) served as the control group. The expression of plasma miRNAs was detected by IlluminaHiSeq sequencing. Cluster analysis and target genes prediction of differentially expressed miRNAs were carried out. Gene ontology (GO) enrichment analysis and KEGG pathway enrichment analysis of differentially expressed miRNAs target genes were performed. Compared with the healthy control group 104 miRNAs were screened out from the liver fibrosis group, among which 72 miRNAs were up-regulated and 32 were down-regulated. Pathway annotations for the target genes of the miRNAs identified were found that it participated in many signal pathways including MAPK signaling pathway, TNF signaling pathway, Notch signaling pathway, phosphatidylinositol signal system and so on. According to the bioinformatic analysis，miR-98-5p were selected for function research among the differentially expressed miRNAs.MiR-98-5p prevents liver fibrosis by targeting TGFβR1 and blocking TGFβ1/Smad3 signaling pathway. In addition, serum miR-98-5p levels were measured from a total of 70 recruited patients with chronic HBV infection and 29 healthy individuals as controls. We found that serum miR-98-5p level was significantly lower in patients with live fibrosis than in healthy controls and HBV carriers (P<0.05). Those results suggest that miR-98-5p could be a potential therapeutic target for liver fibrosis .

scholarly journals MicroRNA expression profiling involved in Borax-induced anti-tumor effect using gene-chip analysis

2020 ◽  
Author(s):  
Lun Wu ◽  
Ying Wei ◽  
Wen-Bo Zhou ◽  
Jiao Zhou ◽  
Li-Hua Yang ◽  
...  
Keyword(s):  
Signaling Pathway ◽  
Hepg2 Cells ◽  
Enrichment Analysis ◽  
Gene Chip ◽  
Differentially Expressed ◽  
Control Group ◽  
Pathway Enrichment Analysis ◽  
Ras Signaling ◽  
Therapeutic Benefits ◽  
Differentially Expressed Mirnas

Abstract Background Borax, a boron compound, which is becoming widely recognized for its biological effects, including antioxidant activity, cytotoxicity, and potential therapeutic benefits. However, the specific molecular mechanisms underlying borax-induced anti-tumor effect still remain to be to further elucidated. MicroRNAs (miRNAs) may play key roles in cellular processes including tumor progression, cell apoptosis and cytotoxicity. Thus, this study aimed to investigate, whether miRNAs were involved in the borax-mediated anti-tumor effect using miRNA profiling of a human liver cancer cell line (HepG2) using gene-chip analysis.Methods Total RNA was extracted and purified from HepG2 cells that were treated with 4 mM borax for either 2 or 24 h. The samples underwent microarray analysis using an Agilent Human miRNA Array. Differentially expressed miRNAs were analysed by volcano plot and heatmap, and were validated using real-time fluorescent quantitative PCR (qPCR).ResultsAmong this, 2- or 24-h exposure to borax significantly altered the expression level of miRNAs in HepG2 cells, 4 or 14 were upregulated and 3 were downregulated compared with the control group, respectively (≥2-fold; P<0.05). GO enrichment analysis and KEGG pathway enrichment analysis revealed that target genes of differentially expressed miRNAs in HepG2 cells predominantly participated in MAPK signaling pathway, TGF-beta signaling pathway, NF-kappa B signaling pathway, etc; in 2-h borax treatment group, while Ras signaling pathway, FoxO signaling pathway, Cellular senescence, etc; involved in 24-h treatment group.Conclusions Result indicates that borax-induced anti-tumor effect may be associated with alterations in miRNAs.

scholarly journals Systematic Analysis of Plasma Exosome MiRNA in Patients with Postmenopausal Osteoporosis

2021 ◽  
Author(s):  
Chengxin Zhu ◽  
Jingze Xu ◽  
Shu Cao ◽  
Changqing Yang ◽  
Renhu Li ◽  
...  
Keyword(s):  
Postmenopausal Women ◽  
Postmenopausal Osteoporosis ◽  
Target Genes ◽  
Enrichment Analysis ◽  
Differentially Expressed ◽  
Size Exclusion ◽  
Control Group ◽  
Carbohydrate Binding ◽  
Healthy Controls ◽  
Differentially Expressed Mirnas

Abstract Background: More and more studies have shown that exosomes are involved in many aspects of bone metabolism. As the content of exosomes, miRNA plays an important role in the early diagnosis, treatment and prognosis evaluation of osteoporosis.Objective: To determine the potential molecular markers of osteoporosis by analyzing the differences of plasma exosome miRNA expression between postmenopausal women with osteoporosis and healthy controls.Methods: Serum samples of postmenopausal osteoporosis (PMOP) patients over 65 years old (n = 12) and healthy controls (n = 12) were collected. The exosomes were separated by molecular size exclusion chromatography(SEC).The differentially expressed miRNAs were analyzed by cluster analysis. The target genes of miRNAs were predicted and annotated by relevant software.The target genes were classified by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). The appropriate biomarkers were screened out.Results: The miRNA spectrum of the patients was significantly different from that of the control group. Validation studies showed that 14 up-regulated miRNAs had a high probability of prediction, which could distinguish osteoporosis patients from healthy controls. Thirty-one genes were predicted to be targets for these miRNAs. GO enrichment analysis showed that miRNAs were mainly concentrated in protein binding, carbohydrate-binding, chromatin binding and protein kinase binding. KEGG enrichment analysis showed that miRNAs were mainly concentrated in the p53 signalling pathway, mineral absorption, glycerin metabolism, insulin secretion, glycosaminoglycan biosynthesis heparin sulfate /heparin pathway. This study identified a large number of differentially expressed miRNAs in plasma samples from postmenopausal women with osteoporosis. It may help to obtain new diagnosis and treatment strategies for PMOP.Conclusion: Our study identified the characteristics of plasma miRNAs in patients with osteoporosis and identified 14 candidate miRNAs, which may be useful biomarkers of osteoporosis. We speculate that these differentially expressed miRNAs may play a key role in the process of bone marrow mesenchymal stem cells osteogenic metabolism and transformation.

Bioinformatics Analysis Reveals Functions of MicroRNAs in Rice Under the Drought Stress

2021 ◽  
Vol 15 (8) ◽  
pp. 927-936 ◽  
Author(s):  
Yan Peng ◽  
Yuewu Liu ◽  
Xinbo Chen
Keyword(s):  
Drought Stress ◽  
Target Genes ◽  
Hot Spot ◽  
Interaction Network ◽  
Enrichment Analysis ◽  
Differentially Expressed ◽  
Protein Protein Interaction ◽  
Promising Tool ◽  
Differentially Expressed Mirnas ◽  
Aba Biosynthesis

Background: Drought is one of the most damaging and widespread abiotic stresses that can severely limit the rice production. MicroRNAs (miRNAs) act as a promising tool for improving the drought tolerance of rice and have become a hot spot in recent years. Objective: In order to further extend the understanding of miRNAs, the functions of miRNAs in rice under drought stress are analyzed by bioinformatics. Method: In this study, we integrated miRNAs and genes transcriptome data of rice under the drought stress. Some bioinformatics methods were used to reveal the functions of miRNAs in rice under drought stress. These methods included target genes identification, differentially expressed miRNAs screening, enrichment analysis of DEGs, network constructions for miRNA-target and target-target proteins interaction. Results: (1) A total of 229 miRNAs with differential expression in rice under the drought stress, corresponding to 73 rice miRNAs families, were identified. (2) 1035 differentially expressed genes (DEGs) were identified, which included 357 up-regulated genes, 542 down-regulated genes and 136 up/down-regulated genes. (3) The network of regulatory relationships between 73 rice miRNAs families and 1035 DEGs was constructed. (4) 25 UP_KEYWORDS terms of DEGs, 125 GO terms and 7 pathways were obtained. (5) The protein-protein interaction network of 1035 DEGs was constructed. Conclusion: (1) MiRNA-regulated targets in rice might mainly involve in a series of basic biological processes and pathways under drought conditions. (2) MiRNAs in rice might play critical roles in Lignin degradation and ABA biosynthesis. (3) MiRNAs in rice might play an important role in drought signal perceiving and transduction.

scholarly journals Construction and validation of a novel prognostic signature of microRNAs in lung adenocarcinoma

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e10470
Author(s):  
Wanzhen Li ◽  
Shiqing Liu ◽  
Shihong Su ◽  
Yang Chen ◽  
Gengyun Sun
Keyword(s):  
Lung Adenocarcinoma ◽  
Signaling Pathway ◽  
Prognostic Value ◽  
Target Genes ◽  
Predictive Accuracy ◽  
Differentially Expressed ◽  
Prognostic Signature ◽  
Tissue Samples ◽  
Gene Set ◽  
Differentially Expressed Mirnas

MicroRNA (miRNA, miR) has been reported to be highly implicated in a wide range of biological processes in lung cancer (LC), and identification of differentially expressed miRNAs between normal and LC samples has been widely used in the discovery of prognostic factors for overall survival (OS) and response to therapy. The present study was designed to develop and evaluate a miRNA-based signature with prognostic value for the OS of lung adenocarcinoma (LUAD), a common histologic subtype of LC. In brief, the miRNA expression profiles and clinicopathological factors of 499 LUAD patients were collected from The Cancer Genome Atlas (TCGA) database. Kaplan–Meier (K-M) survival analysis showed significant correlations between differentially expressed miRNAs and LUAD survival outcomes. Afterward, 1,000 resample LUAD training matrices based on the training set was applied to identify the potential prognostic miRNAs. The least absolute shrinkage and selection operator (LASSO) cox regression analysis was used to constructed a six-miRNA based prognostic signature for LUAD patients. Samples with different risk scores displayed distinct OS in K-M analysis, indicating considerable predictive accuracy of this signature in both training and validation sets. Furthermore, time-dependent receiver operating characteristic (ROC) analysis demonstrated the nomogram achieved higher predictive accuracy than any other clinical variables after incorporating the clinical information (age, sex, stage, and recurrence). In the stratification analysis, the prognostic value of this classifier in LUAD patients was validated to be independent of other clinicopathological variables, such as age, gender, tumor recurrence, and early stage. Gene set annotation analyses were also conducted through the Hallmark gene set and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, indicating target genes of the six miRNAs were positively related to various molecular pathways of cancer, such as hallmark UV response, Wnt signaling pathway and mTOR signaling pathway. In addition, fresh cancer tissue samples and matched adjacent tissue samples from 12 LUAD patients were collected to verify the expression of miR-582’s target genes in the model, further revealing the potential relationship between SOX9, RASA1, CEP55, MAP4K4 and LUAD tumorigenesis, and validating the predictive value of the model. Taken together, the present study identified a robust signature for the OS prediction of LUAD patients, which could potentially aid in the individualized selection of therapeutic approaches for LUAD patients.

scholarly journals Identification of microRNAs and genes as biomarkers of atrial fibrillation using a bioinformatics approach

2019 ◽  
Vol 47 (8) ◽  
pp. 3580-3589 ◽  
Author(s):  
Yingyuan Li ◽  
Wulin Tan ◽  
Fang Ye ◽  
Faling Xue ◽  
Shaowei Gao ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Target Genes ◽  
Enrichment Analysis ◽  
Gene Expression Omnibus ◽  
Differentially Expressed ◽  
Control Groups ◽  
Protein Protein Interaction ◽  
Differentially Expressed Mirnas ◽  
Software Modules ◽  
And Control

Objective We aimed to explore potential microRNAs (miRNAs) and target genes related to atrial fibrillation (AF). Methods Data for microarrays GSE70887 and GSE68475, both of which include AF and control groups, were downloaded from the Gene Expression Omnibus database. Differentially expressed miRNAs between AF and control groups were identified within each microarray, and the intersection of these two sets was obtained. These miRNAs were mapped to target genes in the miRNet database. Functional annotation and enrichment analysis of these target genes was performed in the DAVID database. The protein-protein interaction (PPI) network from the STRING database and the miRNA-target-gene network were merged into a PPI-miRNA network using Cytoscape software. Modules of this network containing miRNAs were detected and further analyzed. Results Ten differentially expressed miRNAs and 1520 target genes were identified. Three PPI-miRNA modules were constructed, which contained miR-424, miR-15a, miR-542-3p, and miR-421 as well as their target genes, CDK1, CDK6, and CCND3. Conclusion The identified miRNAs and genes may be related to the pathogenesis of AF. Thus, they may be potential biomarkers for diagnosis and targets for treatment of AF.

scholarly journals System Analysis of MIRNAs in Maize Internode Elongation

Biomolecules ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. 417
Author(s):  
Chuanxi Peng ◽  
Xing Wang ◽  
Tianyu Feng ◽  
Rui He ◽  
Mingcai Zhang ◽  
...  
Keyword(s):  
Target Genes ◽  
System Analysis ◽  
Interaction Network ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Internode Elongation ◽  
Differentially Expressed Mirnas ◽  
Post Transcriptional Regulation

MicroRNAs (miRNAs), the post-transcriptional gene regulators, are known to play an important role in plant development. The identification of differentially expressed miRNAs could better help us understand the post-transcriptional regulation that occurs during maize internode elongation. Accordingly, we compared the expression of MIRNAs between fixed internode and elongation internode samples and classified six differentially expressed MIRNAs as internode elongation-responsive miRNAs including zma-MIR160c, zma-MIR164b, zma-MIR164c, zma-MIR168a, zma-MIR396f, and zma-MIR398b, which target mRNAs supported by transcriptome sequencing. Functional enrichment analysis for predictive target genes showed that these miRNAs were involved in the development of internode elongation by regulating the genes respond to hormone signaling. To further reveal how miRNA affects internode elongation by affecting target genes, the miRNA–mRNA–PPI (protein and protein interaction) network was constructed to summarize the interaction of miRNAs and these target genes. Our results indicate that miRNAs regulate internode elongation in maize by targeting genes related to cell expansion, cell wall synthesis, transcription, and regulatory factors.

scholarly journals Identification of hydatidosis-related modules and key regulatory genes

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9280
Author(s):  
Jijun Song ◽  
Mingxin Song
Keyword(s):  
Transcription Factors ◽  
Signaling Pathway ◽  
Target Genes ◽  
Expression Profiles ◽  
Differential Expression Analysis ◽  
Interaction Network ◽  
Enrichment Analysis ◽  
Bmp Signaling ◽  
Differentially Expressed ◽  
Regulatory Effects

Background Echinococcosis caused by larval of Echinococcus is prevalent all over the world. Although clinical experience showed that the presence of tapeworms could not be found in liver lesions, the repeated infection and aggravation of lesions still occur in the host. Here, this study constructed a multifactor-driven disease-related dysfunction network to explore the potential molecular pathogenesis mechanism in different hosts after E.multilocularis infection. Method First, iTRAQ sequencing was performed on human liver infected with E.multilocularis. Second, obtained microRNAs(miRNAs) expression profiles of humans and canine infected with Echinococcus from the GEO database. In addition, we also performed differential expression analysis, protein interaction network analysis, enrichment analysis, and crosstalk analysis to obtain genes and modules related to E.multilocularis infection. Pivot analysis is used to calculate the potential regulatory effects of multiple factors on the module and identify related non-coding RNAs(ncRNAs) and transcription factors(TFs). Finally, we screened the target genes of miRNAs of Echinococcus to further explore its infection mechanism. Results A total of 267 differentially expressed proteins from humans and 3,635 differentially expressed genes from canine were obtained. They participated in 16 human-related dysfunction modules and five canine-related dysfunction modules, respectively. Both human and canine dysfunction modules are significantly involved in BMP signaling pathway and TGF-beta signaling pathway. In addition, pivot analysis found that 1,129 ncRNAs and 110 TFs significantly regulated human dysfunction modules, 158 ncRNAs and nine TFs significantly regulated canine dysfunction modules. Surprisingly, the Echinococcus miR-184 plays a role in the pathogenicity regulation by targeting nine TFs and one ncRNA in humans. Similarly, miR-184 can also cause physiological dysfunction by regulating two transcription factors in canine. Conclusion The results show that the miRNA-184 of Echinococcus can regulate the pathogenic process through various biological functions and pathways. The results laid a solid theoretical foundation for biologists to further explore the pathogenic mechanism of Echinococcosis.

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