scholarly journals Identification of lung-adenocarcinoma-related long non-coding RNAs by random walking on a competing endogenous RNA network

2019 ◽  
Vol 7 (14) ◽  
pp. 339-339 ◽  
Author(s):  
Hongyan Zhang ◽  
Yuan Wang ◽  
Jibin Lu
Keyword(s):  
Lung Adenocarcinoma ◽  
Random Walking ◽  
Competing Endogenous Rna ◽  
Competing Endogenous Rna Network ◽  
Non Coding Rnas

scholarly journals The TWIST1-centered competing endogenous RNA network promotes proliferation, invasion, and migration of lung adenocarcinoma

Oncogenesis ◽  
2019 ◽  
Vol 8 (11) ◽  
Author(s):  
Wenjie Xia ◽  
Qixing Mao ◽  
Bing Chen ◽  
Lin Wang ◽  
Weidong Ma ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Migration And Invasion ◽  
Circular Rnas ◽  
Messenger Rnas ◽  
Competing Endogenous Rna ◽  
Invasion And Migration ◽  
Non Coding Rnas ◽  
And Migration

Abstract The proposed competing endogenous RNA (ceRNA) mechanism suggested that diverse RNA species, including protein-coding messenger RNAs and non-coding RNAs such as long non-coding RNAs, pseudogenes and circular RNAs could communicate with each other by competing for binding to shared microRNAs. The ceRNA network (ceRNET) is involved in tumor progression and has become a hot research topic in recent years. To date, more attention has been paid to the role of non-coding RNAs in ceRNA crosstalk. However, coding transcripts are more abundant and powerful than non-coding RNAs and make up the majority of miRNA targets. In this study, we constructed a mRNA-mRNA related ceRNET of lung adenocarcinoma (LUAD) and identified the highlighted TWIST1-centered ceRNET, which recruits SLC12A5 and ZFHX4 as its ceRNAs. We found that TWIST1/SLC12A5/ZFHX4 are all upregulated in LUAD and are associated with poorer prognosis. SLC12A5 and ZFHX4 facilitated proliferation, migration, and invasion in vivo and in vitro, and their effects were reversed by miR-194–3p and miR-514a-3p, respectively. We further verified that SLC12A5 and ZFHX4 affected the function of TWIST1 by acting as ceRNAs. In summary, we constructed a mRNA-mRNA related ceRNET for LUAD and highlighted the well-known oncogene TWIST1. Then we verified that SLC12A5 and ZFHX4 exert their oncogenic function by regulating TWIST1 expression through a ceRNA mechanism.

scholarly journals Construction of asthma related competing endogenous RNA network revealed novel long non-coding RNAs and potential new drugs

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Yifang Liao ◽  
Ping Li ◽  
Yanxia Wang ◽  
Hong Chen ◽  
Shangwei Ning ◽  
...  
Keyword(s):  
Gene Expression ◽  
Drug Repositioning ◽  
New Drugs ◽  
Differentially Expressed ◽  
Interaction Data ◽  
Competing Endogenous Rna ◽  
Non Coding Rna ◽  
Competing Endogenous Rna Network ◽  
Non Coding Rnas ◽  
Long Non Coding Rna

Abstract Background Asthma is a heterogeneous disease characterized by chronic airway inflammation. Long non-coding RNA can act as competing endogenous RNA to mRNA, and play significant role in many diseases. However, there is little known about the profiles of long non-coding RNA and the long non-coding RNA related competing endogenous RNA network in asthma. In current study, we aimed to explore the long non-coding RNA-microRNA-mRNA competing endogenous RNA network in asthma and their potential implications for therapy and prognosis. Methods Asthma-related gene expression profiles were downloaded from the Gene Expression Omnibus database, re-annotated with these genes and identified for asthma-associated differentially expressed mRNAs and long non-coding RNAs. The long non-coding RNA-miRNA interaction data and mRNA-miRNA interaction data were downloaded using the starBase database to construct a long non-coding RNA-miRNA-mRNA global competing endogenous RNA network and extract asthma-related differentially expressed competing endogenous RNA network. Finally, functional enrichment analysis and drug repositioning of asthma-associated differentially expressed competing endogenous RNA networks were performed to further identify key long non-coding RNAs and potential therapeutics associated with asthma. Results This study constructed an asthma-associated competing endogenous RNA network, determined 5 key long non-coding RNAs (MALAT1, MIR17HG, CASC2, MAGI2-AS3, DAPK1-IT1) and identified 8 potential new drugs (Tamoxifen, Ruxolitinib, Tretinoin, Quercetin, Dasatinib, Levocarnitine, Niflumic Acid, Glyburide). Conclusions The results suggested that long non-coding RNA played an important role in asthma, and these novel long non-coding RNAs could be potential therapeutic target and prognostic biomarkers. At the same time, potential new drugs for asthma treatment have been discovered through drug repositioning techniques, providing a new direction for the treatment of asthma.

scholarly journals Genome-wide characterization of coding and non-coding RNAs in the ovary of honeybee workers and queens

Apidologie ◽  
2020 ◽  
Vol 51 (5) ◽  
pp. 777-792
Author(s):  
Xiao Chen ◽  
Wei Shi
Keyword(s):  
Egg Laying ◽  
Differentially Expressed ◽  
Sequencing Data ◽  
Competing Endogenous Rna ◽  
Genome Wide ◽  
Competing Endogenous Rna Network ◽  
Non Coding Rnas ◽  
Virgin Queens ◽  
Potential Interactions

Abstract Adult honeybee queens and workers drastically differ in ovary state and ovary size. However, this reproductive bias is only partially understood from the view of a single RNA type. In this study, we predicted 10,271 mRNAs, 7235 lncRNAs, 11,794 circRNAs, and 164 miRNAs in the ovary of honeybee workers through bioinformatics. Combining RNA sequencing data of honeybee virgin queens, 4385 mRNAs, 2390 lncRNAs, 5602 circRNAs, and 75 miRNAs were differentially expressed in workers compared with virgins. Compared with egg-laying queens, 6536 mRNAs, 3130 lncRNAs, 5751 circRNAs, and 81 miRNAs were differentially expressed in workers. Further, functional annotation revealed that neural regulation was closely related to ovary state. Moreover, the potential interactions among circRNAs, miRNAs, lncRNAs, and mRNAs revealed that vitellogenin, ecdysone-induced protein 74, ame_circ_0001176, and ame_circ_0001243 might play critical roles in the competing endogenous RNA network. These findings suggest that the integrative RNA networks have potential effects in ovarian phenotype differences in honeybees.

scholarly journals Novel cytoplasmic lncRNA IKBKBAS promotes lung adenocarcinoma metastasis by upregulating IKKβ and consequential activation of NF-κB signaling pathway

2021 ◽  
Vol 12 (11) ◽  
Author(s):  
Yuanxin Xing ◽  
Yani Lin ◽  
Ying Zhang ◽  
Jing Hu ◽  
Junmei Liu ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Signaling Pathway ◽  
Feedback Loop ◽  
Competing Endogenous Rna ◽  
Positive Feedback Loop ◽  
Non Coding Rnas ◽  
Novel Target ◽  
Critical Link

AbstractNF-κB signaling pathway is a critical link between inflammation and cancer. Emerging evidence suggested that long non-coding RNAs (lncRNAs) were involved in dysregulation of NF-κB. Herein, we reported a novel lncRNA IKBKBAS that activated NF-κB in lung adenocarcinoma (LUAD) by upregulating IKKβ, a key member of NF-κB signaling pathway, thereby promoting the metastasis of LUAD both in vitro and in vivo. The upregulated IKBKBAS functioned as a competing endogenous RNA (ceRNA) via competing with IKKβ mRNA for binding miR-4741, consequently leading to upregulation and activation of IKKβ, and ultimately activation of NF-κB. The abnormally elevated IKBKBAS in LUAD was mainly resulted from the extremely decrease of miR-512-5p that targeting IKBKBAS. Furthermore, we identified a positive feedback loop between NF-κB and IKBKBAS, in which NF-κB activation induced by overexpression of IKBKBAS could promote the transcription of IKBKBAS by binding the κB sites within IKBKBAS promoter. Our studies revealed that IKBKBAS was involved in the activation of NF-κB signaling by upregulating the expression of IKKβ, which made it serve as a potential novel target for therapies to LUAD.

scholarly journals H19- and hsa-miR-338-3p-mediated NRP1 expression is an independent predictor of poor prognosis in glioblastoma

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260103
Author(s):  
Yong Liu ◽  
Yuelin Liu ◽  
Yong Gao ◽  
Lei Wang ◽  
Hengliang Shi ◽  
...  
Keyword(s):  
Operating Characteristic ◽  
Independent Predictor ◽  
Clinical Diagnostics ◽  
Competing Endogenous Rna ◽  
Kaplan Meier ◽  
Competing Endogenous Rna Network ◽  
Non Coding Rnas ◽  
Patient Prognosis ◽  
Cox Analysis ◽  
Improve Patient

Glioblastoma multiforme (GBM) is the most common and also the most invasive brain cancer. GBM progression is rapid and its prognosis is poor. Therefore, finding molecular targets in GBM is a critical goal that could also play important roles in clinical diagnostics and treatments to improve patient prognosis. We jointly analyzed the GSE103227, GSE103229, and TCGA databases for differentially expressed RNA species, obtaining 52 long non-coding RNAs (lncRNAs), 31 microRNAs (miRNAs), and 186 mRNAs, which were used to build a competing endogenous RNA network. Kaplan–Meier and receiver operating characteristic (ROC) analyses revealed five survival-related lncRNAs: H19, LINC01574, LINC01614, RNF144A-AS1, and OSMR-AS1. With multiple optimization mRNAs, we found the H19-hsa-miR-338-3P-NRP1 regulatory pathway. Additionally, we noted high NRP1 expression in GBM patients, and Kaplan–Meier and ROC analyses showed that NRP1 expression was associated with GBM prognosis. Cox analysis indicated that NRP1 is an independent prognostic factor in GBM patients. In conclusion, H19 and hsa-miR-338-3P regulate NRP1 expression, and this pathway plays an important role in GBM.

Sign in / Sign up

Export Citation Format

Share Document