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Molecular Characterization and Expression Analysis of GhWRI1 in Upland Cotton
Jinping Hua,Yanpeng Zhao,Zhengjie Liu,Xinwang Wang,Yumei Wang 한국식물학회 2018 Journal of Plant Biology Vol.61 No.4
Numerous genes were involved in oil metabolism,transcription factors are the key genes, such as WRINKLED(AtWRI1, At3g54320) in Arabidopsis. A homolog of AtWRI1,GhWRI1 (accession number: JF430801), was cloned in presentstudy. Promoter activity analyses revealed that activityelements were existed in the upstream of GhWRI1 initiationcodon between -912 ~ -720 bp and -372 ~ -177 bp regions. The putative transcriptional activity domain was localized inthe C-terminal of GhWRI1 protein. GhWRI1 was moreabundant in high oil content materials and elevated expressionwith cottonseed development, suggesting the crucial role inseed oil accumulation. Meanwhile, expression level of GhWRI1was induced under multiple abiotic stresses, suggesting thatGhWRI1 might participate in cotton responding to stresses. Overexpression of GhWRI1 increased seed oil content andseed weight in transgenic Arabidopsis thaliana. In transgenicplants, genes downstream of AtWRI1, such as enoyl-ACPreductase (AtEAR, At2g05990), pyruvate kinases (AtPKp2,At5g52920), and pyruvate dehydrogenase subunit (AtPDHE1α,At1g01090) were up-regulated expression two to five timescompared with the wild-type. The results suggested that GhWRI1could be used in regulating oil accumulation in cottonseeds.
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Joint Mode Selection and Resource Allocation for Mobile Relay-Aided Device-to-Device Communication
( Rui Tang ),( Jihong Zhao ),( Hua Qu ),( Zhengcang Zhu ),( Yanpeng Zhang ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.3
Device-to-Device (D2D) communication underlaying cellular networks is a promising add-on component for future radio communication systems. It provides more access opportunities for local device pairs and enhances system throughput (ST), especially when mobile relays (MR) are further enabled to facilitate D2D links when the channel condition of their desired links is unfavorable. However, mutual interference is inevitable due to spectral reuse, and moreover, selecting a suitable transmission mode to benefit the correlated resource allocation (RA) is another difficult problem. We aim to optimize ST of the hybrid system via joint consideration of mode selection (MS) and RA, which includes admission control (AC), power control (PC), channel assignment (CA) and relay selection (RS). However, the original problem is generally NP-hard; therefore, we decompose it into two parts where a hierarchical structure exists: (i) PC is mode-dependent, but its optimality can be perfectly addressed for any given mode with additional AC design to achieve individual quality-of-service requirements. (ii) Based on that optimality, the joint design of MS, CA and RS can be viewed from the graph perspective and transferred into the maximum weighted independent set problem, which is then approximated by our greedy algorithm in polynomial-time. Thanks to the numerical results, we elucidate the efficacy of our mechanism and observe a resulting gain in MR-aided D2D communication.
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Yong Liao,Wen Cao,Kunpeng Zhang,Yang Zhou,Xin Xu,Xiaoling Zhao,Xu Yang,Jitao Wang,Shouwen Zhao,Shiyu Zhang,Longfei Yang,Dengxiang Liu,Yanpeng Tian,Weizhong Wu 한국유전학회 2021 Genes & Genomics Vol.43 No.6
Background lncRNAs–miRNAs–mRNAs networks play an important role in Gastric adenocarcinoma (GA). Identifcation of these networks provide new insight into the role of these RNAs in gastric cancer. Objectives Biological information databases were screened to characterize and examine the regulatory networks and to further investigate the potential prognostic relationship this regulation has in GA. Methods By mining The Cancer Genome Atlas (TCGA) database, we gathered information on GA-related lncRNAs, miRNAs, and mRNAs. We identifed diferentially expressed (DE) lncRNAs, miRNAs, and mRNAs using R software. The lncRNA–miRNA–mRNA interaction network was constructed and subsequent survival examination was performed. Representative genes were selected out using The Biological Networks Gene Ontology plug-in tool on Cytoscape. Additional analysis of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) terms were used to screen representative genes for functional enrichment. Reverse transcription quantitative polymerase chain reaction (RT-qPCR) were used to identify the expression of fve candidate diferential expressed RNAs. Results Information of samples from 375 cases of gastric cancer and 32 healthy cases (normal tissues) were downloaded from the TCGA database. A total of 1632 DE-mRNAs, 1008 DE-lncRNAs and 104 DE-miRNAs were identifed and screened. Among them, 65 DE-lncRNAs, 10 DE-miRNAs, and 10 DE-mRNAs form lncRNAs–miRNAs–mRNAs regulatory network. Additionally, 10 lncRNAs and 2 mRNAs were associated with the prognosis of GA. Multivariable COX analysis revealed that AC018781.1 and VCAN-AS1 were independent risk factors for GA. GO functional enrichment analysis found DE-mRNA was signifcantly enriched TERM (P<0.05). The KEGG signal regulatory network analysis found 11 signifcantly enrichment networks, the most prevailing was for the AGE-RAGE signaling pathway associated with Diabetic complications. Results of RT-qPCR was consistent with the in silico results. Conclusions The results of the present study represent a view of GA from a analysis of lncRNA, miRNA and mRNA. The network of lncRNA–miRNA–mRNA interactions revealed here may potentially further experimental studies and may help biomarker development for GA.
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