scholarly journals Comparative transcriptome analyses of different Salvia miltiorrhiza varieties during the accumulation of tanshinones

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12300
Author(s):  
Jingwen Zhou ◽  
Rui Liu ◽  
Min Shuai ◽  
Zhu-Yun Yan ◽  
Xin Chen

Salvia miltiorrhiza (Labiatae) is an important medicinal plant in traditional Chinese medicine. Tanshinones are one of the main active components of S. miltiorrhiza. It has been found that the intraspecific variation of S. miltiorrhiza is relatively large and the content of tanshinones in its roots of different varieties is also relatively different. To investigate the molecular mechanisms that responsible for the differences among these varieties, the tanshinones content was determined and comparative transcriptomics analysis was carried out during the tanshinones accumulation stage. A total of 52,216 unigenes were obtained from the transcriptome by RNA sequencing among which 23,369 genes were differentially expressed among different varieties, and 2,016 genes including 18 diterpenoid biosynthesis-related genes were differentially expressed during the tanshinones accumulation stage. Functional categorization of the differentially expressed genes (DEGs) among these varieties revealed that the pathway related to photosynthesis, oxidative phosphorylation, secondary metabolite biosynthesis, diterpenoid biosynthesis, terpenoid backbone biosynthesis, sesquiterpenoid and triterpenoid biosynthesis are the most differentially regulated processes in these varieties. The six tanshinone components in these varieties showed different dynamic changes in tanshinone accumulation stage. In addition, combined with the analysis of the dynamic changes, 277 DEGs (including one dehydrogenase, three CYP450 and 24 transcription factors belonging to 12 transcription factor families) related to the accumulation of tanshinones components were obtained. Furthermore, the KEGG pathway enrichment analysis of these 277 DEGs suggested that there might be an interconnection between the primary metabolic processes, signaling processes and the accumulation of tanshinones components. This study expands the vision of intraspecific variation and gene regulation mechanism of secondary metabolite biosynthesis pathways in medicinal plants from the “omics” perspective.

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6697 ◽  
Author(s):  
Lian Yih Pong ◽  
Sinikka Parkkinen ◽  
Amreeta Dhanoa ◽  
Han Ming Gan ◽  
Indeevari Abisheka Chiharu Wickremesinghe ◽  
...  

BackgroundDengue caused by dengue virus (DENV) serotypes −1 to −4 is the most important mosquito-borne viral disease in the tropical and sub-tropical countries worldwide. Yet many of the pathophysiological mechanisms of host responses during DENV infection remain largely unknown and incompletely understood.MethodsUsing a mouse model, the miRNA expressions in liver during DENV-1 infection was investigated using high throughput miRNA sequencing. The differential expressions of miRNAs were then validated by qPCR, followed by target genes prediction. The identified miRNA targets were subjected to gene ontology (GO) annotation and pathway enrichment analysis to elucidate the potential biological pathways and molecular mechanisms associated with DENV-1 infection.ResultsA total of 224 and 372 miRNAs out of 433 known mouse miRNAs were detected in the livers of DENV-1-infected and uninfected mice, respectively; of these, 207 miRNAs were present in both libraries. The miR-148a-3p and miR-122-5p were the two most abundant miRNAs in both groups. Thirty-one miRNAs were found to have at least 2-fold change in upregulation or downregulation, in which seven miRNAs were upregulated and 24 miRNAs were downregulated in the DENV-1-infected mouse livers. The miR-1a-3p was found to be the most downregulated miRNA in the DENV-1-infected mouse livers, with a significant fold change of 0.10. To validate the miRNA sequencing result, the expression pattern of 12 miRNAs, which were highly differentially expressed or most abundant, were assessed by qPCR and nine of them correlated positively with the one observed in deep sequencing.In silicofunctional analysis revealed that the adaptive immune responses involving TGF-beta, MAPK, PI3K-Akt, Rap1, Wnt and Ras signalling pathways were modulated collectively by 23 highly differentially expressed miRNAs during DENV-1 infection.ConclusionThis study provides the first insight into the global miRNA expressions of mouse livers in response to DENV-1 infectionin vivoand the possible roles of miRNAs in modulating the adaptive immune responses during DENV-1 infection.


2021 ◽  
Vol 8 ◽  
Author(s):  
Xinsheng Xie ◽  
En ci Wang ◽  
Dandan Xu ◽  
Xiaolong Shu ◽  
Yu fei Zhao ◽  
...  

Objectives: Abdominal aortic aneurysms (AAAs) are associated with high mortality rates. The genes and pathways linked with AAA remain poorly understood. This study aimed to identify key differentially expressed genes (DEGs) linked to the progression of AAA using bioinformatics analysis.Methods: Gene expression profiles of the GSE47472 and GSE57691 datasets were acquired from the Gene Expression Omnibus (GEO) database. These datasets were merged and normalized using the “sva” R package, and DEGs were identified using the limma package in R. The functions of these DEGs were assessed using Cytoscape software. We analyzed the DEGs using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. Protein–protein interaction networks were assembled using Cytoscape, and crucial genes were identified using the Cytoscape plugin, molecular complex detection. Data from GSE15729 and GSE24342 were also extracted to verify our findings.Results: We found that 120 genes were differentially expressed in AAA. Genes associated with inflammatory responses and nuclear-transcribed mRNA catabolic process were clustered in two gene modules in AAA. The hub genes of the two modules were IL6, RPL21, and RPL7A. The expression levels of IL6 correlated positively with RPL7A and negatively with RPL21. The expression of RPL21 and RPL7A was downregulated, whereas that of IL6 was upregulated in AAA.Conclusions: The expression of RPL21 or RPL7A combined with IL6 has a diagnostic value for AAA. The novel DEGs and pathways identified herein might provide new insights into the underlying molecular mechanisms of AAA.


2020 ◽  
Vol 17 (5) ◽  
pp. 365-378
Author(s):  
Chengcheng Wang ◽  
Lihong Chen ◽  
Zhichen Cai ◽  
Sijing Feng ◽  
Moyi Yue ◽  
...  

Background: Licorice is an herbal medicine applied extensively worldwide, and most of the licorice for clinical consumption is provided by Glycyrrhiza uralensis Fisch. Evidence suggests that there is a significant difference in the metabolite composition of licorice from different ecotypes. Objective: To better understand the proteomic changes and molecular mechanisms of metabolite formation in wild and cultivated Glycyrrhiza uralensis Fisch. Methods: Firstly, we established a proteome database by annotating protein sequences according to the genomic and transcriptomic data of G. uralensis. Then, iTRAQ and LC-MS/MS were applied to detect significant protein changes between cultivated and wild G. uralensis. A total of 2751 validated proteins were obtained with high confidence, and 333 were differentially expressed. Differentially expressed proteins were identified and analysed by GO, KEGG, and STRING for network and pathway enrichment. Ultimately, we combined the iTRAQ results with our previous investigation on metabolites to understand the molecular mechanisms underlying metabolite accumulation. Results: The results showed that differentially expressed proteins were mainly involved in the anabolism of carbohydrates and important amino acids that participate in primary metabolism and secondary metabolite synthesis. Another important pathway is the synthesis of flavonoids, which are generally accepted as important bioactive constituents of G. uralensis, and the accumulation of flavonoids in different synthesis stages in two ecotypes of G. uralensis was diverse. Therefore, the differentially abundant proteins in wild and cultivated G. uralensis possibly resulted in differences in medicinal compounds. Conclusion: Our study will provide novel clues for revealing the molecular mechanism of secondary metabolite synthesis as well as quality formation in wild and cultivated G. uralensis.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Parastoo Modarres ◽  
Farzaneh Mohamadi Farsani ◽  
Amir Abas Nekouie ◽  
Sadeq Vallian

AbstractThe pathways and robust deregulated gene signatures involved in AML chemo-resistance are not fully understood. Multiple subgroups of AMLs which are under treatment of various regimens seem to have similar regulatory gene(s) or pathway(s) related to their chemo-resistance phenotype. In this study using gene set enrichment approach, deregulated genes and pathways associated with relapse after chemotherapy were investigated in AML samples. Five AML libraries compiled from GEO and ArrayExpress repositories were used to identify significantly differentially expressed genes between chemo-resistance and chemo-sensitive groups. Functional and pathway enrichment analysis of differentially expressed genes was performed to assess molecular mechanisms related to AML chemotherapeutic resistance. A total of 34 genes selected to be differentially expressed in the chemo-resistance compared to the chemo-sensitive group. Among the genes selected, c-Jun, AKT3, ARAP3, GABBR1, PELI2 and SORT1 are involved in neurotrophin, estrogen, cAMP and Toll-like receptor signaling pathways. All these pathways are located upstream and regulate JNK signaling pathway which functions as a key regulator of cellular apoptosis. Our expression data are in favor of suppression of JNK pathway, which could induce pro-apoptotic gene expression as well as down regulation of survival factors, introducing this pathway as a key regulator of drug-resistance development in AML.


2021 ◽  
Author(s):  
Parastoo Modarres ◽  
Farzaneh Mohammadi Farsani ◽  
AmirAbas Nekouie ◽  
Sadeq Vallian

Abstract The pathways and robust deregulated gene signatures involved in AML chemo-resistance are not fully understood. Multiple subgroups of AMLs which are under treatment of various regimens seem to have similar regulatory gene(s) or pathway(s) related to their chemo-resistance phenotype. In this study using gene set enrichment approach, deregulated genes and pathways associated with relapse after chemotherapy were investigated in AML samples. Five AML libraries compiled from GEO and ArrayExpress repositories were used to identify significantly differentially expressed genes between chemo-resistance and chemo-sensitive groups. Functional and pathway enrichment analysis of differentially expressed genes was performed to assess molecular mechanisms related to AML chemotherapeutic resistance. A total of 34 genes were selected to be differentially expressed in chemo-resistance compared to chemo-sensitive group. Among these genes, c-Jun, AKT3, ARAP3, GABBR1, PELI2 and SORT1 are involved in neurotrophin, estrogen, cAMP and Toll-like receptor signaling pathways. All these pathways are located upstream and regulate JNK signaling pathway which functions as a key regulator of cellular apoptosis. Our expression data are in favor of suppression of JNK pathway, which could induce pro-apoptotic gene expression as well as down regulation of survival factors, suggesting this pathway as a novel key regulator of drug-resistance development in AML.


2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Houxi Xu ◽  
Yuzhu Ma ◽  
Jinzhi Zhang ◽  
Jialin Gu ◽  
Xinyue Jing ◽  
...  

Colorectal cancer, a malignant neoplasm that occurs in the colorectal mucosa, is one of the most common types of gastrointestinal cancer. Colorectal cancer has been studied extensively, but the molecular mechanisms of this malignancy have not been characterized. This study identified and verified core genes associated with colorectal cancer using integrated bioinformatics analysis. Three gene expression profiles (GSE15781, GSE110223, and GSE110224) were downloaded from the Gene Expression Omnibus (GEO) databases. A total of 87 common differentially expressed genes (DEGs) among GSE15781, GSE110223, and GSE110224 were identified, including 19 upregulated genes and 68 downregulated genes. Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis was performed for common DEGs using clusterProfiler. These common DEGs were significantly involved in cancer-associated functions and signaling pathways. Then, we constructed protein-protein interaction networks of these common DEGs using Cytoscape software, which resulted in the identification of the following 10 core genes: SST, PYY, CXCL1, CXCL8, CXCL3, ZG16, AQP8, CLCA4, MS4A12, and GUCA2A. Analysis using qRT-PCR has shown that SST, CXCL8, and MS4A12 were significant differentially expressed between colorectal cancer tissues and normal colorectal tissues (P<0.05). Gene Expression Profiling Interactive Analysis (GEPIA) overall survival (OS) has shown that low expressions of AQP8, ZG16, CXCL3, and CXCL8 may predict poor survival outcome in colorectal cancer. In conclusion, the core genes identified in this study contributed to the understanding of the molecular mechanisms involved in colorectal cancer development and may be targets for early diagnosis, prevention, and treatment of colorectal cancer.


2020 ◽  
Author(s):  
Li-Li Zhang ◽  
Lin Han ◽  
Xin-Miao Wang ◽  
Yu Wei ◽  
Jing-Hui Zheng ◽  
...  

Abstract BackgroundThe mechanisms underlying the therapeutic effect of Salvia Miltiorrhiza (SM) against diabetic nephropathy (DN) using systematic network pharmacology and molecular docking methods were examined.MethodsTCMSP database was used to screen the active ingredients of SM. Gene targets were obtained using Swiss Target Prediction and TCMSP databases. Related targets of DN were retrieved from the Genecards and DisGeNET databases. Next, a PPI network was constructed using the common targets of SM-DN in the STRING database. The Metascape platform was used for GO function analysis and Cytoscape plug-in ClueGO was used for KEGG pathway enrichment analysis. Molecular docking was performed using iGEMDOCK and AutoDock Vina software. Pymol and LigPlos were used for mapping the network. ResultsSixty-six active ingredients and 189 targets were screened from SM. Among them, 64 targets overlapped with DN targets. The PPI network diagram revealed that AKT1, VEGFA, IL6, TNF, MAPK1, TP53, EGFR, STAT3, MAPK14, and JUN were the top 10 relevant targets. GO and KEGG analyses mainly focused on advanced glycation end products, oxidative stress, inflammatory response, and immune regulation. Molecular docking revealed that the potential target genes closely related to DN, including TNF, NOS2, and AKT1, were more stable in combination with salvianolic acid B, and their stability was better than that of tanshinone IIA.ConclusionThis study reveals the active components and potential molecular mechanisms involved in the therapeutic effect of SM against DN and provides a reference for the wide application of SM in clinically managing DN.


2021 ◽  
Author(s):  
Charles-Etienne Castonguay ◽  
Cal Liao ◽  
Anouar Khayachi ◽  
Gabrielle Houle ◽  
Jay P Ross ◽  
...  

Essential tremor (ET) is one of the most common movement disorders, affecting nearly 5% of individuals over 65 years old. Despite its high heritability, few genetic risk loci for ET have been identified. Recent advances in pharmacogenomics have generated a wealth of data that led to the identification of molecular signatures in response to hundreds of chemical compounds. Among the different forms of data, gene expression has proven to be quite successful for the inference of drug response in cell models. We sought to leverage this approach in the context of ET where many patients are responsive two drugs: propranolol and primidone. Propranolol- and primidone-specific transcriptomic drug targets, as well as convergent gene targets across both drugs, could provide insights into the pathogenesis of ET and identify possible targets of interest for future treatments. In this study, cerebellar DAOY and neural progenitor cells were treated for 5 days with clinical concentrations of propranolol and primidone, after which RNA-sequencing was used to identify differentially expressed genes. The expression of genes previously implicated in genetic and transcriptomic studies of ET and other movement disorders, such as TRAPPC11, were significantly upregulated by propranolol. Pathway enrichment analysis identified multiple terms related to calcium signalling, endosomal sorting, axon guidance, and neuronal morphology. Convergent differentially expressed genes across all treatments and cell types were also found to be significantly more mutationally constrained, implying that they might harbour rare deleterious variants implicated in disease. Furthermore, these genes were enriched within cell types having high expression of ET related genes in both cortical and cerebellar tissues. Altogether, our results highlight potential cellular and molecular mechanisms associated with tremor reduction and identify relevant genetic biomarkers for drug-responsiveness in ET.


2021 ◽  
Author(s):  
Lvhao Zhang ◽  
Xiaojun Wang ◽  
Wangyin Yu ◽  
Tian Yang ◽  
Xiang Zhou ◽  
...  

Abstract Filamentous fungi in the order Entomophthorales are the main natural regulators of insect populations. Conidiation is crucial for entomopathogenic fungi to explore host resources due to the multifunction of conidia such as growth, infection, and stress resistance; however, the molecular mechanisms underlying the conidial functions in Entomophthorales is unknown. This study analyzed the differentially expressed transcriptomic patterns in three conidiation stages (pre-conidiation, emerging conidiation, and post-conidiation, respectively) of the aphid-obligate pathogen Conidiobolus obscurus (Entomophthoromycotina). The emerging conidiation stage vs. pre- or post- conidiation stage had 3,091 and 3,235 differentially expressed genes (DEGs), respectively, wherein 2,915 upregulated DEGs were putatively related to the conidial functions. A weighted gene co-expression network analysis showed that 772 hub genes in conidiation, which were related to cuticular component degradation, oxidative phosphorylation, ribosomal biogenesis, cell wall/membrane biosynthesis, MAPK signaling pathway, secondary metabolite biosynthesis, and other metabolic processes. This implied that the conidia of Entomophthorales have abundant transcripts with various functions to favor a quick response to the surrounding environment and effectively explore the host resources.


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