نتایج جستجو برای: mirna mrna regulatory network

تعداد نتایج: 991763  

Journal: :American Journal of Internal Medicine 2021

Introduction: Nasopharyngeal carcinoma (NPC) is an endemic cancer in southern China, particularly Guangdong population, but the prognosis of NPC poor. Recently microRNA (miR) has been shown to have function aiding treatment cancer. Thus, this study, miRNAs and genes associated with were analyzed. Methods: mRNA-sequencing miR-sequencing data obtained from Gene Expression Omnibus. The differentia...

Journal: :iranian journal of biotechnology 2013
sahar ansari basir khosrow adeli

context:micrornas (mirnas) are a class of short, endogenously-initiated, non-coding rnas that post-transcriptionally control gene expression via translational repression or mrna turnover. mirnas have attracted much attention in recent years as they play critical roles in gene expression and are promising tools with many biotech and therapeutic applications. the molecular mechanisms underlying t...

2017
Sushmita Paul Petra Lakatos Arndt Hartmann Regine Schneider-Stock Julio Vera

Differences in the expression profiles of miRNAs and mRNAs have been reported in colorectal cancer. Nevertheless, information on important miRNA-mRNA regulatory modules in colorectal cancer is still lacking. In this regard, this study presents an application of the RH-SAC algorithm on miRNA and mRNA expression data for identification of potential miRNA-mRNA modules. First, a set of miRNA rules ...

2017
Ingar Olsen Sim K. Singhrao Harald Osmundsen

Porphyromonas gingivalis is considered a keystone pathogen in periodontitis, a disease typically driven by dysbiosis of oral inflammophilic polymicrobial pathobionts. To combat infectious agents, the natural defense response of the host is to switch on inflammatory signaling cascades, whereby microRNA (miRNA) species serve as alternative genetic inhibitory transcriptional endpoints. miRNA profi...

Journal: :PloS one 2016
Simon Schafferer Rimpi Khurana Violetta Refolo Serena Venezia Edith Sturm Paolo Piatti Clara Hechenberger Hubert Hackl Roman Kessler Michaela Willi Ronald Gstir Anne Krogsdam Alexandra Lusser Werner Poewe Gregor K Wenning Alexander Hüttenhofer Nadia Stefanova

Multiple system atrophy (MSA) is a fatal rapidly progressive α-synucleinopathy, characterized by α-synuclein accumulation in oligodendrocytes. It is accepted that the pathological α-synuclein accumulation in the brain of MSA patients plays a leading role in the disease process, but little is known about the events in the early stages of the disease. In this study we aimed to define potential ro...

Journal: :Molecular biology and evolution 2011
Hisakazu Iwama Koji Murao Hitomi Imachi Toshihiko Ishida

Transcription factors (TFs) and microRNAs (miRNAs) comprise two major layers of gene regulatory networks (GRNs). TFs and miRNAs function coordinately, but they have distinct molecular mechanisms and evolutionary backgrounds. Therefore, we aimed to systematically reveal the difference in contribution between TF and miRNA networks to the evolution of their coordinated regulations by focusing on c...

2017
Yaqing Chen Dan Liu Pengfei Liu Yajing Chen Huiling Yu Quan Zhang

The present study aimed to identify potential therapeutic targets of intrahepatic cholangiocarcinoma (ICC) via integrated analysis of gene (transcript version) and microRNA (miRNA/miR) expression. The miRNA microarray dataset GSE32957 contained miRNA expression data from 16 ICC, 7 mixed type of combined hepatocellular‑cholangiocarcinoma (CHC), 2 hepatic adenoma, 3 focal nodular hyperplasia (FNH...

2017
Siriluck Ponsuksili Nares Trakooljul Frieder Hadlich Fiete Haack Eduard Murani Klaus Wimmers

Regulation of microRNA (miRNA) expression contributes to a wide range of target gene expression and phenotypes. The miRNA expression in the liver, the central metabolic organ, was examined in 209 pigs, and integrated with haematological and clinical biomarkers of metabolic and overall health, mRNA-target expression levels and single-nucleotide polymorphism (SNP) genotypes. The expression levels...

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