杜仲MVA和MEP途径相关基因的亚细胞定位与表达分析

通过对杜仲基因组分析,筛选并克隆出MVA途径和MEP途径的相关基因全长（EuDXR,EuMCT,EuCMK,EuMDS,EuACOT,EuHMGS和EuHMGR）,并通过生物信息学方法分析其结构特征,结果表明上述基因与其他已知物种相应基因的相似度达73%~85%。通过构建亚细胞定位表达载体,并瞬时转化烟草下表皮细胞后激光共聚焦显微镜下观察显示,EuDXR,EuMCT,EuCMK,EuMDS基因编码蛋白定位于叶绿体,EuACOT和EuHMGR基因编码蛋白定位于内质网,EuHMGS基因编码蛋白定位于细胞质膜。利用转录组测序技术分析上述基因的时空表达特性表明,MEP途径相关基因在杜仲叶片中大量表达,而MVA途径相关基因在杜仲幼果中大量表达,且杜仲幼果比叶片中的橡胶含量高,因此,推断MVA途径在杜仲橡胶合成中占主导作用。     

Analyses of changes in myocardial long non-coding RNA and mRNA profiles after severe hemorrhagic shock and resuscitation via RNA sequencing in a rat model

Background

Ischemia–reperfusion injury has been proven to induce organ dysfunction and death, although the mechanism is not fully understood. Long non-coding RNAs (lncRNAs) have drawn wide attention with their important roles in the gene expression of some biological processes and diseases, including myocardial ischemia–reperfusion (I/R) injury. In this paper, a total of 26 Sprague–Dawley (SD) rats were randomized into two groups: sham and ischemia–reperfusion (I/R) injury. Hemorrhagic shock was induced by removing 45% of the estimated total blood volume followed by reinfusion of shed blood. High-throughput RNA sequencing was used to analyze differentially expressed (DE) lncRNAs and messenger RNAs (mRNAs) in the heart tissue 4 h after reperfusion. Myocardial function was also evaluated.

Results

After resuscitation, the decline of myocardial function of shocked animals, expressed by cardiac output, ejection fraction, and myocardial performance index (MPI), was significant (p?<?0.05). DE lncRNAs and mRNAs were identified by absolute value of fold change?≥?2 and the false discovery rate ≤?0.001. In rats from the I/R injury group, 851 lncRNAs and 1015 mRNAs were significantly up-regulated while 1533 lncRNAs and 1702 m RNAs were significantly down-regulated when compared to the sham group. Among the DE lncRNAs, we found 12 location-associated with some known apoptosis-related protein-coding genes which were up-regulated or down-regulated accordingly, including STAT3 and Il1r1. Real time PCR assays confirmed that the expression levels of five location-associated lncRNAs (NONRATT006032.2, NONRATT006033.2, NONRATT006034.2, NONRATT006035.2 and NONRATT029969.2) and their location-associated mRNAs (STAT3 and Il1r1) in the rats from the I/R injury group were all significantly up-regulated versus the sham group.

Conclusions

The DE lncRNAs (NONRATT006032.2, NONRATT006033.2, NONRATT006034.2 and NONRATT006035.2) could be compatible with their role in myocardial protection by stimulating their co-located gene (STAT3) after hemorrhagic shock and resuscitation. The final prognosis of I/R injury might be regulated by different genes, which is regarded as a complex network.

     

Time-Series Clustering of lncRNA-mRNA Expression during the Adipogenic Transdifferentiation of Porcine Skeletal Muscle Satellite Cells

Skeletal muscle satellite cells (SMSCs), which are multifunctional muscle-derived stem cells, can differentiate into adipocytes. Long-chain non-coding RNA (lncRNA) has diverse biological functions, including the regulation of gene expression, chromosome silencing, and nuclear transport. However, the regulatory roles and mechanism of lncRNA during adipogenic transdifferentiation in muscle cells have not been thoroughly investigated. Here, porcine SMSCs were isolated, cultured, and induced for adipogenic differentiation. The expressions of lncRNA and mRNA at different time points during transdifferentiation were analysed using RNA-seq analysis. In total, 1005 lncRNAs and 7671 mRNAs showed significant changes in expression at differential differentiation stages. Time-series expression analysis showed that the differentially expressed (DE) lncRNAs and mRNAs were clustered into 5 and 11 different profiles with different changes, respectively. GO, KEGG, and REACTOME enrichment analyses revealed that DE mRNAs with increased expressions during the trans-differentiation were mainly enriched in the pathways for lipid metabolism and fat cell differentiation. The genes with decreased expressions were mainly enriched in the regulation of cell cycle and genetic information processing. In addition, 1883 DE mRNAs were regulated by 193 DE lncRNAs, and these genes were related to the controlling in cell cycle mainly. Notably, three genes in the fatty acid binding protein (FABP) family significantly and continuously increased during trans-differentiation, and 15, 13, and 11 lncRNAs may target FABP3, FABP4, and FABP5 genes by cis- or trans-regulation, respectively. In conclusion, these studies identify a set of new potential regulator for adipogenesis and cell fate and help us in better understanding the molecular mechanisms of trans-differentiation.     

Use of RNA Sequencing to Perform Comprehensive Analysis of Long Noncoding RNA Expression Profiles in Macrophages Infected with Trichosporon asahii

Trichosporon asahii (T. asahii) is a clinically important opportunistic pathogenic fungus capable of causing systemic lethal infection in immunosuppressive and immunodeficient hosts. However, the mechanism of the host immune response upon T. asahii infection has not been elucidated. Recent evidence has shown that long noncoding RNAs (lncRNAs) play key roles in regulating the immune response to resist microbial infections. In this study, we analyzed the expression profiles of lncRNAs at 12 and 24 h post-infection (hpi) in THP-1 cells infected with T. asahii using RNA sequencing (RNA-Seq). A total of 64 and 160 lncRNAs displayed significant differentially expressed (DE) at 12 h and 24 hpi, respectively. Among these lncRNAs, 18 lncRNAs were continuous DE at two time points. The DE of eight candidate lncRNAs were verified by real time quantitative polymerase chain reaction (RT-qPCR). Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses were performed to analyze the cis-target genes of 18 DE lncRNAs. The results showed that they were enriched in signaling pathways related to the host immune response, indicating that these lncRNAs might play important roles in fungi–host interactions. Finally, we explored the function of lncRNA NEAT1 and found that the expression of TNF-α and IL-1β declined after NEAT1 knockdown in T. asahii-infected THP-1 cells. To our knowledge, this is the first report of a expression analysis of lncRNAs in macrophages infected with T. asahii. Our study helps to elucidate the role of lncRNAs in the host immune response to early infection by T. asahii.

     

Expression profile of long non-coding RNAs in cervical spondylotic myelopathy of rats by microarray and bioinformatics analysis

IntroductionIt has been reported that a wide range of long non-coding RNAs (lncRNAs) are implicated in numerous diseases such as tumor, cardiopathy and neurological disorders. Identifying the differentially expressed (DE) profile of lncRNAs in cervical spondylotic myelopathy (CSM) is essential to understand the mechanisms of CSM.MethodsMicroarray assay, quantitative real-time PCR (qRT-PCR) and bioinformatics analysis were employed to reveal the DE profile and potential functions of lncRNAs in CSM.ResultsMicroarray analysis displayed the DE profiles of lncRNAs and mRNAs in rats between the CSM group and the control (CON) group. Thereinto, 1266 DE lncRNAs (738 up-regulation and 528 down-regulation) and 847 mRNAs (487 up-regulation and 360 down-regulation) with >1.1 fold change (FC) were finally identified. Moreover, 17 lncRNAs (13 up-regulation and 4 down-regulation) and 18 mRNAs (13 up-regulation and 5 down-regulation) were found deregulated by >2 FC. Further bioinformatics analysis showed the most remarkable biological processes among up-regulated RNAs contain cellular response to interferon-beta, inflammatory response and innate immune response, which may involve in CSM. Besides, related DE mRNAs of 17 DE lncRNAs in the genome were related to signaling pathway about NOD-like receptor, TNF, and apoptosis. In addition, a co-expression network of lncRNA-mRNA was established for analyzing the biological roles of lncRNAs. Among these, we found a ceRNA network related to CSM. Finally, the expressions of the DE lncRNAs and ceRNA network confirmed by qRT-PCR were in agreement with microarray data.ConclusionsOur study revealed the DE profiles of lncRNAs and mRNAs for CSM. Those dysregulated RNAs may represent potential therapeutic targets of CSM for further study.     

Comprehensive analysis of lncRNA–miRNA–mRNA during proliferative phase of rat liver regeneration

This study aims to reveal the regulatory mechanism of lncRNAs–miRNAs–mRNAs network during the proliferative phase of liver regeneration (LR). High-throughput sequencing technology was performed, and a total of 1,738 differentially expressed lncRNAs (DE lncRNAs), 167 known differentially expressed miRNAs (DE miRNAs), and 2,727 differentially expressed mRNAs were identified. Then, the target DE lncRNAs and DE mRNAs regulated by the same miRNAs were screened and a ceRNA regulatory network containing 32 miRNAs, 107 lncRNAs, and 270 mRNAs was constructed. Insulin signaling pathway, pyrimidine metabolism, axon guidance, carbohydrate digestion and absorption, and pyruvate metabolism were significantly enriched in the network. Through literature review and the regulatory relationship between lncRNAs and miRNAs, nine core lncRNAs were identified, which might play important roles during the proliferative phase of rat LR. This study analyzed lncRNA–miRNA–mRNA regulatory network for the first time during the proliferative phase of rat LR, providing clues for exploring the mechanism of LR and the treatment of liver diseases.     

High throughput deep sequencing elucidates the important role of lncRNAs in Foxtail millet response to herbicides

Long non-coding RNAs (lncRNAs) play an important function in plant growth and development as well as response to stresses. However, little information was known in foxtail millet; no study was reported on lncRNAs in plant response to herbicide treatment. In this study, by using deep sequencing and advanced bioinformatic analysis, a total of 2547 lncRNAs were identified, including 787 known and 1760 novel lncRNAs. These lncRNAs are distributed across all 9 chromosomes, and the majority were located in the intergenic region with 1–2 exons. These lncRNAs were differentially expressed between different genotypes under different herbicide treatments. lncRNAs regulate plant growth and development as well as response to herbicide treatments through targeting protein-coding genes that directly relate to chemical metabolism and defense system. Multiple potential target genes and lncRNA-mRNA-miRNA gene networks were discovered. These results elucidate the potential roles of lncRNAs in plant response to herbicides.     

Tissue-specific analysis of Coffea arabica L. transcriptome revealed potential regulatory roles of lncRNAs

Long non-coding RNAs (lncRNAs) play pivot roles in regulating mRNA expression in eukaryotic organisms without coding any proteins. In the current study, a comprehensive analysis of 260 published RNA-Seq datasets collected from different tissues (fruits, leaves, stems, and roots) of Coffea arabica L. was performed to discover potential lncRNAs. A total of 10,564 unique lncRNAs were identified. Our results showed that 77.14% of the lncRNAs were intergenic and 60.39% of them are located within 5 Kbp from the partner gene. In general, all the identified lncRNAs showed shorter lengths, fewer number of exons, and lower expression levels as compared to mRNAs in different studied tissues. Several lncRNAs were determined as differentially expressed (DE) in fruits as compared to leaves, stems, or roots. The functional characterization of the DE lncRNAs revealed their roles in regulating significant biological processes in different tissues of C. arabica. The current study provides a comprehensive analysis and dataset of lncRNAs in C. arabica that could be utilized in further studies concerning the roles of these molecules in plant cells.     

Identification and expression analysis of lncRNA in seven organs of Rhinopithecus roxellana

Long non-coding RNA (lncRNA) represents a new direction to identify expression profiles and regulatory mechanisms in various organisms. Here, we report the first dataset of lncRNAs of the golden snub-nosed monkey (GSM), including 12,557 putative lncRNAs identified from seven organs. Compared with mRNA, GSM lncRNA had fewer exons and isoforms, and longer length. LncRNA showed more obvious tissue-specific expression than mRNA. However, for the top ten most abundant genes in each organ, mRNAs expression was more tissue-specific than lncRNAs. By identification of specifically expressed lncRNAs and mRNAs in each organ, it indicates that the expression of SEG-lncRNA (specifically expressed lncRNA) and SEG-mRNA (specifically expressed mRNA) had high correlation. In particular, combined our lncRNA and mRNA data, we identified 92 heart SEG-lncRNAs targeted ten mRNA genes in the oxidative phosphorylation pathway and upregulated the expression of these target genes such as ND4, ATP6, and ATP8. These may contribute to GSM adaption to its high-elevation environment. We also identified 171 liver SEG-lncRNAs, which targeted 27 genes associated with the metabolism of xenobiotics and leaded to high expression of these target genes in liver. These lncRNAs may play important roles in GSM adaptation to a folivory diet.

     

Large-scale study of long non-coding RNA functions based on structure and expression features

Mammals and other complex organisms can transcribe an abundance of long non-coding RNAs (lncRNAs) that fulfill a wide variety of regulatory roles in many biological processes. These roles, including as scaffolds and as guides for protein-coding genes, mainly depend on the structure and expression level of lncRNAs. In this review, we focus on the current methods for analyzing lncRNA structure and expression, which is basic but necessary information for in-depth, large-scale analysis of lncRNA functions.