Results 11 to 20 of about 19,790 (218)
Construction of a ceRNA Network Related to Rheumatoid Arthritis [PDF]
(1) Background: Rheumatoid arthritis (RA) is a common systemic autoimmune disease affecting many people and has an unclear and complicated physiological mechanism. The competing endogenous RNA (ceRNA) network plays an essential role in the development and occurrence of various human physiological processes. This study aimed to construct a ceRNA network
Zhanya Huang, Nanzhen Kuang
openaire +3 more sources
Analysis of a circRNA-, miRNA-, and mRNA-associated ceRNA network reveals potential biomarkers in preeclampsia a ceRNA network in preeclampsia [PDF]
Preeclampsia (PE), one of hypertension-related disorders of pregnancy, is a common cause of maternal death worldwide. This study aimed to identify a circRNA-miRNA-mRNA-associated ceRNA network and related pathways in PE. We downloaded 3 microarray datasets from the Gene Expression Omnibus database, obtained 163 differentially expressed circRNAs (dif ...
Xiaoxiao Xu, Sha Lv, Ziwen Xiao
core +7 more sources
The Immune-related ceRNA Network in Prognosis of Cervical Cancer [PDF]
Immunotherapy is gaining attention and it is being included as one of the treatment strategies for cancer patients. However, the molecular mechanisms of immune-related genes and their affinity for cervical cancer progression remain unclear. In this study, we have developed an immune-related competing endogenous RNA [ceRNA] network and assessed the ...
Dhandapani, Hemavathi +2 more
openaire +4 more sources
Prognostic Roles of ceRNA Network-Based Signatures in Gastrointestinal Cancers [PDF]
Gastrointestinal cancers (GICs) are high-incidence malignant tumors that seriously threaten human health around the world. Their complexity and heterogeneity make the classic staging system insufficient to guide patient management.
Xin Qi +6 more
doaj +3 more sources
Identification and validation of a novel glycolysis-related ceRNA network for sepsis-induced cardiomyopathy [PDF]
PurposeSepsis-induced cardiomyopathy (SIC) is a major life-threatening condition in critically infected patients. Early diagnosis and intervention are important to improve patient prognosis.
Lulu Cheng +7 more
doaj +3 more sources
Deciphering the rules of ceRNA networks [PDF]
Recent theoretical and experimental studies have shed light on the complex network of interactions among the multiple classes of RNA within the cell. Although much of the focus over the past decade has been on the mechanisms by which microRNAs (miRNA) regulate the stability and translation of messenger RNAs (mRNAs), more recently it has come to light ...
Marcella, Cesana, George Q, Daley
openaire +4 more sources
Construction of ceRNA regulatory networks for osteoporosis
Osteoporosis increases the risk of fracture. Improving the diagnosis and treatment of osteoporosis has clinical applications. The differentially expressed genes (DEcircRs, DEmRs, DEmiRs) of osteoporotic patients and controls were analyzed using the GEO database, and enrichment analysis of DEmRs was performed. circRNAs and mRNAs, which were predicted to
Chen, Hongtao +5 more
openaire +2 more sources
The ceRNA network of lncRNA and miRNA in lung cancer [PDF]
Since lung cancer is a major causative for cancer-related deaths, the investigations for discovering biomarkers to diagnose at an early stage and to apply therapeutic strategies have been continuously conducted. Recently, long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) are being exponentially studied as promising biomarkers of lung cancer ...
Seo, Danbi +3 more
openaire +2 more sources
Integrated analysis of lncRNA-miRNA-mRNA ceRNA network in human aortic dissection [PDF]
Background Many studies on long chain non-coding RNAs (lncRNAs) are published in recent years. But the roles of lncRNAs in aortic dissection (AD) are still unclear and should be further examined.
Panpan Guo +19 more
core +1 more source
(A) An integrative pipeline for transcriptome-wide identification of lincRNA-miRNA-mRNA regulatory networks. Interactions between miRNAs and their targets are predicted using three computational approaches (miRanda, PITA and RNAhybrid). miRNA-lincRNA and
Jiaxing Chen (9107364) +13 more
core +1 more source

