scholarly journals Association of Extracellular Signal-Regulated Kinase Genes With Myopia: A Longitudinal Study of Chinese Children

2021 ◽  
Vol 12 ◽  
Author(s):  
Haishao Xiao ◽  
Shudan Lin ◽  
Dandan Jiang ◽  
Yaoyao Lin ◽  
Linjie Liu ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Gene Network ◽  
Mirna Target ◽  
Target Gene ◽  
Target Genes ◽  
Chinese Children ◽  
Indirect Interaction ◽  
Mirna Target Gene ◽  
Extracellular Signal Regulated Kinase ◽  
Extracellular Signal

Graphical AbstractThe genes in the miRNA-target gene network represent the intersection of the target genes and the genes from String that had direct or indirect interaction relationships with significant genes.

scholarly journals Identification of genes, pathways and transcription factor-miRNA-target gene networks and experimental verification in venous thromboembolism

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yiming Su ◽  
Qiyi Li ◽  
Zhiyong Zheng ◽  
Xiaomin Wei ◽  
Peiyong Hou
Keyword(s):  
Transcription Factor ◽  
Venous Thromboembolism ◽  
Cellular Response ◽  
Gene Network ◽  
Mirna Target ◽  
Target Gene ◽  
Vascular Endothelial Cell ◽  
Differentially Expressed ◽  
Ppi Network ◽  
Mirna Target Gene

AbstractVenous thromboembolism (VTE) is a complex, multifactorial life-threatening disease that involves vascular endothelial cell (VEC) dysfunction. However, the exact pathogenesis and underlying mechanisms of VTE are not completely clear. The aim of this study was to identify the core genes and pathways in VECs that are involved in the development and progression of unprovoked VTE (uVTE). The microarray dataset GSE118259 was downloaded from the Gene Expression Omnibus database, and 341 up-regulated and 8 down-regulated genes were identified in the VTE patients relative to the healthy controls, including CREB1, HIF1α, CBL, ILK, ESM1 and the ribosomal protein family genes. The protein–protein interaction (PPI) network and the transcription factor (TF)-miRNA-target gene network were constructed with these differentially expressed genes (DEGs), and visualized using Cytoscape software 3.6.1. Eighty-nine miRNAs were predicted as the targeting miRNAs of the DEGs, and 197 TFs were predicted as regulators of these miRNAs. In addition, 237 node genes and 4 modules were identified in the PPI network. The significantly enriched pathways included metabolic, cell adhesion, cell proliferation and cellular response to growth factor stimulus pathways. CREB1 was a differentially expressed TF in the TF-miRNA-target gene network, which regulated six miRNA-target gene pairs. The up-regulation of ESM1, HIF1α and CREB1 was confirmed at the mRNA and protein level in the plasma of uVTE patients. Taken together, ESM1, HIF1α and the CREB1-miRNA-target genes axis play potential mechanistic roles in uVTE development.

Study on the Function of miRNA-155 Target Using Bioinformatics Methods

2013 ◽  
Vol 709 ◽  
pp. 858-861
Author(s):  
De Ming Han ◽  
Zi Jun Shen ◽  
Li Hui Zhao
Keyword(s):  
Protein Expression ◽  
Mirna Target ◽  
Target Gene ◽  
Target Genes ◽  
Gene Prediction ◽  
Diagnosis And Treatment ◽  
Transcriptional Level ◽  
Mirna Target Gene ◽  
Non Coding Rnas

MicroRNAs are small non-coding RNAs that act at the post-transcriptional level, regulating protein expression by repressing translation or destabilizing mRNA target. We searched information about miR-155 in miRBase. Target genes of miR-155 are predicted by four miRNA target gene prediction softwares. The result shows that miR-155 was involved in proliferation, differentiation and apoptosis. These results can contribute to further study on the role of microRNA in diagnosis and treatment of cancer.

scholarly journals Pinpointing miRNA and genes enrichment over trait-relevant tissue network in Genome-Wide Association Studies

2020 ◽  
Vol 13 (S11) ◽  
Author(s):  
Binze Li ◽  
Julian Dong ◽  
Jiaqi Yu ◽  
Yuqi Fan ◽  
Lulu Shang ◽  
...  
Keyword(s):  
Gene Regulation ◽  
Binding Affinity ◽  
Gene Network ◽  
Mirna Target ◽  
Target Gene ◽  
Genome Wide Association ◽  
Untranslated Regions ◽  
Regulation Mechanism ◽  
Mirna Target Gene ◽  
Genome Wide

Abstract Background Understanding gene regulation is important but difficult. Elucidating tissue-specific gene regulation mechanism is even more challenging and requires gene co-expression network assembled from protein–protein interaction, transcription factor and gene binding, and post-transcriptional regulation (e.g., miRNA targeting) information. The miRNA binding affinity could therefore be changed by SNP(s) located at the 3′ untranslated regions (3′UTR) of the target messenger RNA (mRNA) which miRNA(s) interacts with. Genome-wide association study (GWAS) has reported significant numbers of loci hosting SNPs associated with many traits. The goal of this study is to pinpoint GWAS functional variants located in 3′UTRs and elucidate if the genes harboring these variants along with their targeting miRNAs are associated with genetic traits relevant to certain tissues. Methods By applying MIGWAS, CoCoNet, ANNOVAR, and DAVID bioinformatics software and utilizing the gene expression database (e.g. GTEx data) to study GWAS summary statistics for 43 traits from 28 GWAS studies, we have identified a list of miRNAs and targeted genes harboring 3′UTR variants, which could contribute to trait-relevant tissue over miRNA-target gene network. Results Our result demonstrated that strong association between traits and tissues exists, and in particular, the Primary Biliary Cirrhosis (PBC) trait has the most significant p-value for all 180 tissues among all 43 traits used for this study. We reported SNPs located in 3′UTR regions of genes (SFMBT2, ZC3HAV1, and UGT3A1) targeted by miRNAs for PBC trait and its tissue association network. After employing Gene Ontology (GO) analysis for PBC trait, we have also identified a very important miRNA targeted gene over miRNA-target gene network, PFKL, which encodes the liver subunit of an enzyme. Conclusions The non-coding variants identified from GWAS studies are casually assumed to be not critical to translated protein product. However, 3′ untranslated regions (3′UTRs) of genes harbor variants can often change the binding affinity of targeting miRNAs playing important roles in protein translation degree. Our study has shown that GWAS variants could play important roles on miRNA-target gene networks by contributing the association between traits and tissues. Our analysis expands our knowledge on trait-relevant tissue network and paves way for future human disease studies.

scholarly journals MiR-124 synergism with ELAVL3 enhances target gene expression to promote neuronal maturity

2020 ◽  
Author(s):  
Ya-Lin Lu ◽  
Yangjian Liu ◽  
Matthew J. McCoy ◽  
Andrew S. Yoo
Keyword(s):  
Gene Expression ◽  
Mirna Target ◽  
Target Gene ◽  
Target Genes ◽  
Dependent Manner ◽  
Neuronal Function ◽  
Mirna Target Gene ◽  
Target Gene Expression ◽  
Human Neurons

SummaryNeuron-enriched microRNAs (miRNAs), miR-9/9* and miR-124 (miR-9/9*-124), direct cell fate switching of human fibroblasts to neurons when ectopically expressed by repressing anti-neurogenic genes. How these miRNAs function after the onset of the transcriptome switch to a neuronal fate remains unclear. Here, we identified direct targets of miRNAs by Argonaute (AGO) HITS-CLIP as reprogramming cells activate the neuronal program and reveal the role of miR-124 that directly promotes the expression of its target genes associated with neuronal development and function. The mode of miR-124 as a positive regulator is determined by a neuron-enriched RNA-binding protein, ELAVL3, that interacts with AGO and binds target transcripts, whereas the non-neuronal ELAVL1 counterpart fails to elevate the miRNA-target gene expression. Although existing literature indicate that miRNA-ELAVL1 interaction can result in either target gene upregulation or downregulation in a context-dependent manner, we specifically identified neuronal ELAVL3 as the driver for miRNA target gene upregulation in neurons. In primary human neurons, repressing miR-124 and ELAVL3 led to the downregulation of genes involved in neuronal function and process outgrowth, and cellular phenotypes of reduced inward currents and neurite outgrowth. Results from our study support the role of miR-124 promoting neuronal function through positive regulation of its target genes.

scholarly journals Discovering and Constructing ceRNA-miRNA-Target Gene Regulatory Networks during Anther Development in Maize

2019 ◽  
Vol 20 (14) ◽  
pp. 3480 ◽  
Author(s):  
Ziwen Li ◽  
Xueli An ◽  
Taotao Zhu ◽  
Tingwei Yan ◽  
Suowei Wu ◽  
...  
Keyword(s):  
Gene Regulatory Networks ◽  
Regulatory Networks ◽  
Mirna Target ◽  
Target Gene ◽  
Target Genes ◽  
Anther Development ◽  
Small Rna Sequencing ◽  
Mirna Target Gene ◽  
Gene Pairs ◽  
Gene Regulatory

The “competing endogenous RNA (ceRNA) hypothesis” has recently been proposed for a new type of gene regulatory model in many organisms. Anther development is a crucial biological process in plant reproduction, and its gene regulatory network (GRN) has been gradually revealed during the past two decades. However, it is still unknown whether ceRNAs contribute to anther development and sexual reproduction in plants. We performed RNA and small RNA sequencing of anther tissues sampled at three developmental stages in two maize lines. A total of 28,233 stably transcribed loci, 61 known and 51 potentially novel microRNAs (miRNAs) were identified from the transcriptomes. Predicted ceRNAs and target genes were found to conserve in sequences of recognition sites where their corresponding miRNAs bound. We then reconstructed 79 ceRNA-miRNA-target gene regulatory networks consisting of 51 known miRNAs, 28 potentially novel miRNAs, 619 ceRNA-miRNA pairs, and 869 miRNA-target gene pairs. More than half of the regulation pairs showed significant negative correlations at transcriptional levels. Several well-studied miRNA-target gene pairs associated with plant flower development were located in some networks, including miR156-SPL, miR159-MYB, miR160-ARF, miR164-NAC, miR172-AP2, and miR319-TCP pairs. Six target genes in the networks were found to be orthologs of functionally confirmed genes participating in anther development in plants. Our results provide an insight that the ceRNA-miRNA-target gene regulatory networks likely contribute to anther development in maize. Further functional studies on a number of ceRNAs, miRNAs, and target genes will facilitate our deep understanding on mechanisms of anther development and sexual plants reproduction.

scholarly journals Integration of genetics and miRNA–target gene network identified disease biology implicated in tissue specificity

2018 ◽  
Vol 46 (22) ◽  
pp. 11898-11909 ◽  
Author(s):  
Saori Sakaue ◽  
Jun Hirata ◽  
Yuichi Maeda ◽  
Eiryo Kawakami ◽  
Takuro Nii ◽  
...  
Keyword(s):  
Gene Network ◽  
Mirna Target ◽  
Target Gene ◽  
Tissue Specificity ◽  
Mirna Target Gene ◽  
Disease Biology

scholarly journals Identification and Classification of Hubs in microRNA Target Gene Networks in Human Neural Stem/Progenitor Cells following Japanese Encephalitis Virus Infection

mSphere ◽  
2019 ◽  
Vol 4 (5) ◽  
Author(s):  
Sriparna Mukherjee ◽  
Irshad Akbar ◽  
Reshma Bhagat ◽  
Bibhabasu Hazra ◽  
Arindam Bhattacharyya ◽  
...  
Keyword(s):  
Progenitor Cells ◽  
Gene Networks ◽  
Mirna Target ◽  
Target Gene ◽  
Target Genes ◽  
Hub Genes ◽  
Protein Protein Interaction ◽  
Ppi Networks ◽  
Neural Stem Progenitor Cells

ABSTRACT RNA viruses are known to modulate host microRNA (miRNA) machinery for their own benefit. Japanese encephalitis virus (JEV), a neurotropic RNA virus, has been reported to manipulate several miRNAs in neurons or microglia. However, no report indicates a complete sketch of the miRNA profile of neural stem/progenitor cells (NSPCs), hence the focus of our current study. We used an miRNA array of 84 miRNAs in uninfected and JEV-infected human neuronal progenitor cells and primary neural precursor cells isolated from aborted fetuses. Severalfold downregulation of hsa-miR-9-5p, hsa-miR-22-3p, hsa-miR-124-3p, and hsa-miR-132-3p was found postinfection in both of the cell types compared to the uninfected cells. Subsequently, we screened for the target genes of these miRNAs and looked for the biological pathways that were significantly regulated by the genes. The target genes involved in two or more pathways were sorted out. Protein-protein interaction (PPI) networks of the miRNA target genes were formed based on their interaction patterns. A binary adjacency matrix for each gene network was prepared. Different modules or communities were identified in those networks by community detection algorithms. Mathematically, we identified the hub genes by analyzing their degree centrality and participation coefficient in the network. The hub genes were classified as either provincial (P < 0.4) or connector (P > 0.4) hubs. We validated the expression of hub genes in both cell line and primary cells through qRT-PCR after JEV infection and respective miR mimic transfection. Taken together, our findings highlight the importance of specific target gene networks of miRNAs affected by JEV infection in NSPCs. IMPORTANCE JEV damages the neural stem/progenitor cell population of the mammalian brain. However, JEV-induced alteration in the miRNA expression pattern of the cell population remains an open question, hence warranting our present study. In this study, we specifically address the downregulation of four miRNAs, and we prepared a protein-protein interaction network of miRNA target genes. We identified two types of hub genes in the PPI network, namely, connector hubs and provincial hubs. These two types of miRNA target hub genes critically influence the participation strength in the networks and thereby significantly impact up- and downregulation in several key biological pathways. Computational analysis of the PPI networks identifies key protein interactions and hubs in those modules, which opens up the possibility of precise identification and classification of host factors for viral infection in NSPCs.

scholarly journals Profiling the Abiotic Stress Responsive microRNA Landscape of Arabidopsis thaliana

Plants ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 58 ◽  
Author(s):  
Joseph Pegler ◽  
Jackson Oultram ◽  
Christopher Grof ◽  
Andrew Eamens
Keyword(s):  
Gene Expression ◽  
Arabidopsis Thaliana ◽  
Salt Stress ◽  
Abiotic Stress ◽  
Mirna Target ◽  
Target Gene ◽  
Negative Impact ◽  
Mirna Target Gene ◽  
Target Gene Expression ◽  
Response Phenotype

It is well established among interdisciplinary researchers that there is an urgent need to address the negative impacts that accompany climate change. One such negative impact is the increased prevalence of unfavorable environmental conditions that significantly contribute to reduced agricultural yield. Plant microRNAs (miRNAs) are key gene expression regulators that control development, defense against invading pathogens and adaptation to abiotic stress. Arabidopsis thaliana (Arabidopsis) can be readily molecularly manipulated, therefore offering an excellent experimental system to alter the profile of abiotic stress responsive miRNA/target gene expression modules to determine whether such modification enables Arabidopsis to express an altered abiotic stress response phenotype. Towards this goal, high throughput sequencing was used to profile the miRNA landscape of Arabidopsis whole seedlings exposed to heat, drought and salt stress, and identified 121, 123 and 118 miRNAs with a greater than 2-fold altered abundance, respectively. Quantitative reverse transcriptase polymerase chain reaction (RT-qPCR) was next employed to experimentally validate miRNA abundance fold changes, and to document reciprocal expression trends for the target genes of miRNAs determined abiotic stress responsive. RT-qPCR also demonstrated that each miRNA/target gene expression module determined to be abiotic stress responsive in Arabidopsis whole seedlings was reflective of altered miRNA/target gene abundance in Arabidopsis root and shoot tissues post salt stress exposure. Taken together, the data presented here offers an excellent starting platform to identify the miRNA/target gene expression modules for future molecular manipulation to generate plant lines that display an altered response phenotype to abiotic stress.

scholarly journals The integrative knowledge base for miRNA-mRNA expression in colorectal cancer

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Daša Jevšinek Skok ◽  
Nina Hauptman ◽  
Emanuela Boštjančič ◽  
Nina Zidar
Keyword(s):  
Colorectal Cancer ◽  
Knowledge Base ◽  
Mrna Expression ◽  
Web Application ◽  
Mirna Target ◽  
Target Gene ◽  
The Cancer Genome Atlas ◽  
Gene Expressions ◽  
Mirna Target Gene ◽  
Colon And Rectum

Abstract“miRNA colorectal cancer” (https://mirna-coadread.omics.si/) is a freely available web application for studying microRNA and mRNA expression and their correlation in colorectal cancer. To the best of our knowledge, “miRNA colorectal cancer” has the largest knowledge base of miRNA-target gene expressions and correlations in colorectal cancer, based on the largest available sample size from the same source of data. Data from high-throughput molecular profiling of 295 colon and rectum adenocarcinoma samples from The Cancer Genome Atlas was analyzed and integrated into our knowledge base. The objective of developing this web application was to help researchers to discover the behavior and role of miRNA-target gene interactions in colorectal cancer. For this purpose, results of differential expression and correlation analyses of miRNA and mRNA data collected in our knowledge base are available through web forms. To validate our knowledge base experimentally, we selected genes FN1, TGFB2, RND3, ZEB1 and ZEB2 and miRNAs hsa-miR-200a/b/c-3p, hsa-miR-141-3p and hsa-miR-429. Both approaches revealed a negative correlation between miRNA hsa-miR-200b/c-3p and its target gene FN1 and between hsa-miR-200a-3p and its target TGFB2, thus supporting the usefulness of the developed knowledge base.

scholarly journals Integrated Analysis of MicroRNA (miRNA) and mRNA Profiles Reveals Reduced Correlation between MicroRNA and Target Gene in Cancer

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Xingsong Li ◽  
Xiaokang Yu ◽  
Yuting He ◽  
Yuhuan Meng ◽  
Jinsheng Liang ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Mirna Target ◽  
Target Gene ◽  
Target Genes ◽  
Integrated Analysis ◽  
Cancer Type ◽  
Gene Pairs ◽  
Cancer Types

Background. Accumulating evidences demonstrated that microRNA-target gene pairs were closely related to tumorigenesis and development. However, the correlation between miRNA and target gene was insufficiently understood, especially its changes between tumor and normal tissues. Objectives. The aim of this study was to evaluate the changes of correlation of miRNAs-target pairs between normal and tumor. Materials and Methods. 5680 mRNA and 5740 miRNA expression profiles of 11 major human cancers were downloaded from the Cancer Genome Atlas (TCGA). The 11 cancer types were bladder urothelial carcinoma, breast invasive carcinoma, head and neck squamous cell carcinoma, kidney chromophobe, kidney renal clear cell carcinoma, kidney renal papillary cell carcinoma, liver hepatocellular carcinoma, lung adenocarcinoma, lung squamous cell carcinoma, stomach adenocarcinoma, and thyroid carcinoma. For each cancer type, we firstly obtained differentially expressed miRNAs (DEMs) and genes (DEGs) in tumor and then acquired critical miRNA-target gene pairs by combining DEMs, DEGs and two experimentally validated miRNA-target interaction databases, miRTarBase and miRecords. We collected samples with both miRNA and mRNA expression values and performed a correlation analysis by Pearson method for miRNA-target pairs in normal and tumor, respectively. Results. We totally got 4743 critical miRNA-target pairs across 11 cancer types, and 4572 of them showed weaker correlation in tumor than in normal. The average correlation coefficients of miRNA-target pairs were different greatly between normal (-0.38 ~ -0.61) and tumor (-0.04 ~ -0.26) for 11 cancer type. The pan-cancer network, which consisted of 108 edges connecting 35 miRNAs and 89 target genes, showed the interactions of pairs appeared in multicancers. Conclusions. This comprehensive analysis revealed that correlation between miRNAs and target genes was greatly reduced in tumor and these critical pairs we got were involved in cellular adhesion, proliferation, and migration. Our research could provide opportunities for investigating cancer molecular regulatory mechanism and seeking therapeutic targets.

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