Regulatory protein genes and microRNAs in response to selenium stimuli in Pueraria lobata (Willd.) Ohwi

Metallomics ◽  
2020 ◽  
Author(s):  
Yanni Li ◽  
Meijun He ◽  
Jishuang Li ◽  
Yiwei Yao ◽  
Li Zhu ◽  
...  
Keyword(s):  
Structural Gene ◽  
Target Genes ◽  
Regulatory Protein ◽  
Enrichment Analysis ◽  
Regulation Of Transcription ◽  
Pueraria Lobata ◽  
Ros Scavenging ◽  
Edible Plant ◽  
Go Enrichment ◽  
Highly Correlated

Abstract Regulatory protein genes and microRNAs (miRNAs) play important roles in response to abiotic and biotic stress, and the biosynthesis of secondary metabolites in plants. However, their responses to selenium (Se) stimuli have not been comprehensively studied in Pueraria lobata (Willd.) Ohwi, a Selenocompound-rich medicinal and edible plant. In this study, we identified a total of 436/556/1161/624 transcription factors (TFs), 134/157/308/172 transcriptional regulators (TRs) and 341/456/250/518 protein kinases (PKs), which were coexpressed with at least one Selenocompound-related structural gene/sulfate transporter or phosphate transporter/ROS scavenging structural gene/isoflavone-related structural gene, respectively. Then, we identified a total of 87 expressed miRNAs by Se disposure, in which 11 miRNAs, including miR171f-3p, miR390b-3P, miR-N111b, miR-N118, miR-N30, miR-N38-3P, miR-N61a, miR-N61b, miR-N80-3p, miR-N84-3P and miR-N90.2-3P were significantly up-regulated. We also identified a total of 1172 target genes for the 87 expressed miRNAs. Go enrichment analysis of these target genes showed that terms of regulation of transcription, DNA-templated, integral component of membrane, nucleus, ATP binding and plasma membrane are the top five subclassifications. Finally, we revealed that 5 miRNAs targeted 10 regulatory protein genes, which are highly correlated with at least one Selenocompound-related structural gene or transporter gene; 5 miRNAs targeted 10 regulatory protein genes, which are highly correlated with at least one ROS scavenging structural gene; 5 miRNAs targeted 9 regulatory protein genes, which are potentially involved in the isoflavone biosynthesis. Overall, the study provides us the comprehensive insight of the roles of regulatory proteins and miRNAs in response to Se stimuli in P. lobata.

scholarly journals Analysis of small RNA changes in different Brassica napus synthetic allopolyploids

2019 ◽  
Author(s):  
Yunxiao Wei ◽  
Fei Li ◽  
Shujiang Zhang ◽  
Shifan Zhang ◽  
Hui Zhang ◽  
...  
Keyword(s):  
Differential Expression ◽  
Small Rna ◽  
Target Genes ◽  
Enrichment Analysis ◽  
Small Rna Sequencing ◽  
Go Enrichment ◽  
Polyploid Formation ◽  
Differentially Expressed Mirnas ◽  
New Perspective ◽  
Go Enrichment Analysis

Allopolyploidy is an evolutionary and mechanisticaly intriguing process involving the reconciliation of two or more sets of diverged genomes and regulatory interactions, resulting in new phenotypes. In this study, we explored the small RNA changes of eight F2 synthetic B. napus using small RNA sequencing. We found that a part of miRNAs and siRNAs were non-additively expressed in the synthesized B. napus allotetraploid. Differentially expressed miRNAs and siRNAs differed among eight F2 individuals, and the differential expression of miR159 and miR172 was consistent with that of flowering time trait. The GO enrichment analysis of differential expression miRNA target genes found that most of them were concentrated in ATP-related pathways, which might be a potential regulatory process contributing to heterosis. In addition, the number of siRNAs present in the offspring was significantly higher than that of the parent, and the number of high parents was significantly higher than the number of low parents. The results have shown that the differential expression of miRNA lays the foundation for solving the trait separation phenomenon, and the significant increase of siRNA alleviates the shock of the newly synthesized allopolyploidy. It provides a new perspective of small RNA changes and trait separation in the early stages of allopolyploid polyploid formation.

scholarly journals Identification of potential key genes and pathway linked with sporadic Creutzfeldt-Jakob disease based on integrated bioinformatics analyses

2020 ◽  
Author(s):  
Basavaraj Vastrad ◽  
Chanabasayya Vastrad ◽  
Iranna Kotturshetti
Keyword(s):  
Regulatory Network ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
Enrichment Analysis ◽  
Pathway Enrichment Analysis ◽  
Ppi Network ◽  
Hub Genes ◽  
Bioinformatics Analyses ◽  
Go Enrichment ◽  
Jakob Disease

AbstractSporadic Creutzfeldt-Jakob disease (sCJD) is neurodegenerative disease also called prion disease linked with poor prognosis. The aim of the current study was to illuminate the underlying molecular mechanisms of sCJD. The mRNA microarray dataset GSE124571 was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened. Pathway and GO enrichment analyses of DEGs were performed. Furthermore, the protein-protein interaction (PPI) network was predicted using the IntAct Molecular Interaction Database and visualized with Cytoscape software. In addition, hub genes and important modules were selected based on the network. Finally, we constructed target genes - miRNA regulatory network and target genes - TF regulatory network. Hub genes were validated. A total of 891 DEGs 448 of these DEGs presented significant up regulated, and the remaining 443 down regulated were obtained. Pathway enrichment analysis indicated that up regulated genes were mainly linked with glutamine degradation/glutamate biosynthesis, while the down regulated genes were involved in melatonin degradation. GO enrichment analyses indicated that up regulated genes were mainly linked with chemical synaptic transmission, while the down regulated genes were involved in regulation of immune system process. hub and target genes were selected from the PPI network, modules, and target genes - miRNA regulatory network and target genes - TF regulatory network namely YWHAZ, GABARAPL1, EZR, CEBPA, HSPB8, TUBB2A and CDK14. The current study sheds light on the molecular mechanisms of sCJD and may provide molecular targets and diagnostic biomarkers for sCJD.

scholarly journals Computational Identification of miRNAs and Temperature Responsive lncRNAs from Mango (Mangifera indica, L.)

2020 ◽  
Author(s):  
Nann Miky Moh Moh ◽  
Peijing Zhang ◽  
Yujie Chen ◽  
Ming Chen
Keyword(s):  
Low Temperature ◽  
Stress Responses ◽  
Target Genes ◽  
Mangifera Indica ◽  
Enrichment Analysis ◽  
Tropical Fruit ◽  
Temperature Responsive ◽  
New Information ◽  
Go Enrichment ◽  
The Stability

Abstract Background Mango is a major tropical fruit in the world and is known as the king of fruits because of its flavour, aroma, taste, and nutritional values. Moreover, various parts of mango trees have been used for medical purposes. Although various regulatory roles of miRNAs and lncRNAs have been investigated in many plants, there is yet an absence of study in mango. This is the first study to provide information on ncRNAs of mango with the aim of identifying miRNAs and lncRNAs of mango and discovering of their potential functions by the interaction prediction of the miRNAs, lncRNAs and their target genes. Results In this analysis, 104 miRNAs and 7,610 temperature responsive lncRNAs were identified and the target genes of these ncRNAs were characterized. By analysing the interaction of miRNAs and their target genes, it was observed that miRNAs are mainly involved in growth, development, and stress responses of mango. For the lncRNAs, cold responsive lncRNAs bound to low temperature responsive proteins expressed at low temperature stress. GO enrichment analysis of heat and cold responsive lncRNAs revealed that they involved in all three basic processes; biological process, cellular component, and molecular function. Moreover, mango lncRNAs can target miRNAs to reduce the stability of lncRNAs and can function as molecular decoys or sponges of miRNAs. Conclusion This paper would provide the new information about miRNAs and lncRNAs of mango and would help for the further investigation of mango ncRNAs.

scholarly journals Analysis of small RNA changes in different Brassica napus synthetic allopolyploids

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7621
Author(s):  
Yunxiao Wei ◽  
Fei Li ◽  
Shujiang Zhang ◽  
Shifan Zhang ◽  
Hui Zhang ◽  
...  
Keyword(s):  
Differential Expression ◽  
Small Rna ◽  
Target Genes ◽  
Enrichment Analysis ◽  
Small Rna Sequencing ◽  
Go Enrichment ◽  
Polyploid Formation ◽  
Differentially Expressed Mirnas ◽  
New Perspective ◽  
Go Enrichment Analysis

Allopolyploidy is an evolutionary and mechanisticaly intriguing process involving the reconciliation of two or more sets of diverged genomes and regulatory interactions, resulting in new phenotypes. In this study, we explored the small RNA changes of eight F2 synthetic B. napus using small RNA sequencing. We found that a part of miRNAs and siRNAs were non-additively expressed in the synthesized B. napus allotetraploid. Differentially expressed miRNAs and siRNAs differed among eight F2 individuals, and the differential expression of miR159 and miR172 was consistent with that of flowering time trait. The GO enrichment analysis of differential expression miRNA target genes found that most of them were concentrated in ATP-related pathways, which might be a potential regulatory process contributing to heterosis. In addition, the number of siRNAs present in the offspring was significantly higher than that of the parent, and the number of high parents was significantly higher than the number of low parents. The results have shown that the differential expression of miRNA lays the foundation for explaining the trait separation phenomenon, and the significant increase of siRNA alleviates the shock of the newly synthesized allopolyploidy. It provides a new perspective between small RNA changes and trait separation in the early stages of allopolyploid polyploid formation.

Bioinformatics Analysis of Prognostic value and prospective Pathway signal of miR-30a in Ovarian Cancer

2020 ◽  
Author(s):  
Weijia Lu ◽  
Yunyu Wu ◽  
CanXiong Lu ◽  
Ting Zhu ◽  
ZhongLu Ren ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Target Genes ◽  
Ovarian Tissue ◽  
Critical Role ◽  
Differentially Expressed Gene ◽  
Enrichment Analysis ◽  
Gene Expression Omnibus ◽  
Hub Genes ◽  
Protein Protein Interaction ◽  
Go Enrichment

Abstract Objective: MicroRNAs (MiRNAs) is thought to play an critical role in the initiation and progress of ovarian cancer(OC). Although miRNAs has been widely recognized in ovarian cancer, the role of hsa-miR-30a-5p (miR-30a) in OC has not been fully elucidated.Methods:Three mRNA datasets of normal ovarian tissue and OC, GSE18520 ,GSE14407 and GSE36668, were downloaded from Gene Expression Omnibus(GEO) to find the differentially expressed gene (DEG). Then the target genes of hsa-miR-30a-5p were predicted by miRWALK3.0 and TargetScan. Then, the gene overlap between DEG and the predicted target genes of miR-30a in OC was analyzed by Gene Ontology (GO) enrichment analysis. Protein-protein interaction (PPI) network was conducted by STRING and Cytoscape, and the effect of HUB gene on the outcome of OC was analyzed.Results：A common pattern of up-regulation of miR-30a in OC was found. A total of 225 DEG, were identified, both OC-related and miR-30a-related. Many DEG are enriched in the interactions of intracellular matrix tissue, ion binding and biological process regulation. Among the 10 major Hub genes analyzed by PPI, five Hub genes were significantly related to the overall poor survival of OC patients, in which the low expression of ESR1 ,MAPK10, Tp53 and the high expression of YKT ,NSF were related to poor prognosis of OC.Conclusion：Our results indicate that miR-30a is of significance for the biological progress of OC.

scholarly journals Bioinformatics analysis of prognostic value and prospective pathway signal of miR-30a in ovarian cancer

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Weijia Lu ◽  
Yunyu Wu ◽  
Can Xiong Lu ◽  
Ting Zhu ◽  
Zhong Lu Ren ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Target Genes ◽  
Ovarian Tissue ◽  
Critical Role ◽  
Differentially Expressed Gene ◽  
Enrichment Analysis ◽  
Gene Expression Omnibus ◽  
Hub Genes ◽  
Protein Protein Interaction ◽  
Go Enrichment

Abstract Objective MicroRNAs (MiRNAs) is thought to play a critical role in the initiation and progress of ovarian cancer (OC). Although miRNAs has been widely recognized in ovarian cancer, the role of hsa-miR-30a-5p (miR-30a) in OC has not been fully elucidated. Methods Three mRNA datasets of normal ovarian tissue and OC, GSE18520,GSE14407 and GSE36668, were downloaded from Gene Expression Omnibus (GEO) to find the differentially expressed gene (DEG). Then the target genes of hsa-miR-30a-5p were predicted by miRWALK3.0 and TargetScan. Then, the gene overlap between DEG and the predicted target genes of miR-30a in OC was analyzed by Gene Ontology (GO) enrichment analysis. Protein-protein interaction (PPI) network was conducted by STRING and Cytoscape, and the effect of HUB gene on the outcome of OC was analyzed. Results A common pattern of up-regulation of miR-30a in OC was found. A total of 225 DEG, were identified, both OC-related and miR-30a-related. Many DEG are enriched in the interactions of intracellular matrix tissue, ion binding and biological process regulation. Among the 10 major Hub genes analyzed by PPI, five Hub genes were significantly related to the overall poor survival of OC patients, in which the low expression of ESR1,MAPK10, Tp53 and the high expression of YKT,NSF were related to poor prognosis of OC. Conclusion Our results indicate that miR-30a is of significance for the biological progress of OC.

scholarly journals miRinGO: Prediction of biological processes indirectly targeted by human microRNAs

2020 ◽  
Author(s):  
Mohammed Sayed ◽  
Juw Won Park
Keyword(s):  
Target Genes ◽  
Enrichment Analysis ◽  
Biological Processes ◽  
Go Enrichment ◽  
R Shiny ◽  
Canonical Approach ◽  
Non Coding Rnas ◽  
Post Transcriptional Regulation ◽  
Go Enrichment Analysis ◽  
Shiny Application

AbstractMicroRNAs are small non-coding RNAs that are known for their role in post-transcriptional regulation of target genes. Typically, their functions are predicted by first identifying their target genes and then finding biological processes enriched in these targets. Current tools for miRNA functional analysis use only genes with physical binding sites as their targets and exclude other genes that are indirectly targeted transcriptionally through transcription factors. Here, we introduce a method to predict gene ontology (GO) annotations indirectly targeted by microRNAs. The proposed method resulted in better performance in predicting known miRNA-GO term associations compared to the canonical approach. To facilitate miRNA GO enrichment analysis, we developed an R Shiny application, miRinGO, that is freely available from GitHub at https://github.com/Fadeel/miRinGO

scholarly journals Analysis of small RNA changes in different Brassica napus synthetic allopolyploids

2019 ◽  
Author(s):  
Yunxiao Wei ◽  
Fei Li ◽  
Shujiang Zhang ◽  
Shifan Zhang ◽  
Hui Zhang ◽  
...  
Keyword(s):  
Differential Expression ◽  
Small Rna ◽  
Target Genes ◽  
Enrichment Analysis ◽  
Small Rna Sequencing ◽  
Go Enrichment ◽  
Polyploid Formation ◽  
Differentially Expressed Mirnas ◽  
New Perspective ◽  
Go Enrichment Analysis

Allopolyploidy is an evolutionary and mechanisticaly intriguing process involving the reconciliation of two or more sets of diverged genomes and regulatory interactions, resulting in new phenotypes. In this study, we explored the small RNA changes of eight F2 synthetic B. napus using small RNA sequencing. We found that a part of miRNAs and siRNAs were non-additively expressed in the synthesized B. napus allotetraploid. Differentially expressed miRNAs and siRNAs differed among eight F2 individuals, and the differential expression of miR159 and miR172 was consistent with that of flowering time trait. The GO enrichment analysis of differential expression miRNA target genes found that most of them were concentrated in ATP-related pathways, which might be a potential regulatory process contributing to heterosis. In addition, the number of siRNAs present in the offspring was significantly higher than that of the parent, and the number of high parents was significantly higher than the number of low parents. The results have shown that the differential expression of miRNA lays the foundation for solving the trait separation phenomenon, and the significant increase of siRNA alleviates the shock of the newly synthesized allopolyploidy. It provides a new perspective of small RNA changes and trait separation in the early stages of allopolyploid polyploid formation.

scholarly journals Comparative analysis of microRNA profiles between wild and cultured Haemaphysalis longicornis (Acari, Ixodidae) ticks

Parasite ◽  
2019 ◽  
Vol 26 ◽  
pp. 18 ◽  
Author(s):  
Jin Luo ◽  
Qiaoyun Ren ◽  
Ze Chen ◽  
Wenge Liu ◽  
Zhiqiang Qu ◽  
...  
Keyword(s):  
Target Genes ◽  
Enrichment Analysis ◽  
Haemaphysalis Longicornis ◽  
Mirna Regulation ◽  
Illumina Hiseq ◽  
Immune Genes ◽  
Host Interaction ◽  
Go Enrichment ◽  
Genes Encoding ◽  
Stressful Stimulation

The miRNA profiles of a Haemaphysalis longicornis wild-type (HLWS) and of a Haemaphysalis longicornis cultured population (HLCS) were sequenced using the Illumina Hiseq 4000 platform combined with bioinformatics analysis and real-time polymerase chain reaction (RT-PCR). A total of 15.63 and 15.48 million raw reads were acquired for HLWS and HLCS, respectively. The data identified 1517 and 1327 known conserved miRNAs, respectively, of which 342 were differentially expressed between the two libraries. Thirty-six novel candidate miRNAs were predicted. To explain the functions of these novel miRNAs, Gene Ontology (GO) analysis was performed. Target gene function prediction identified a significant set of genes related to salivary gland development, pathogen-host interaction and regulation of the defence response to pathogens expressed by wild H. longicornis ticks. Cellular component biogenesis, the immune system process, and responses to stimuli were represented at high percentages in the two tick libraries. GO enrichment analysis showed that the percentages of most predicted functions of the target genes of miRNA were similar, as were certain specific categories of functional enhancements, and that these genes had different numbers and specific functions (e.g., auxiliary transport protein and electron carrier functions). This study provides novel findings showing that miRNA regulation affects the expression of immune genes, indicating a considerable influence of environment-induced stressful stimulation on immune homeostasis. Differences in the living environments of ticks can lead to differences in miRNAs between ticks and provide a basis and a convenient means to screen for genes encoding immune factors in ticks.

scholarly journals Exploring the Molecular Mechanism of the Drug-Treated Breast Cancer Based on Gene Expression Microarray

Biomolecules ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 282
Author(s):  
Alshabi ◽  
BasavarajVastrad ◽  
Shaikh ◽  
Vastrad
Keyword(s):  
Target Genes ◽  
Interaction Network ◽  
Enrichment Analysis ◽  
Network Module ◽  
Ppi Network ◽  
Hub Genes ◽  
Protein Protein Interaction ◽  
Go Enrichment ◽  
Human Protein Atlas ◽  
Go Enrichment Analysis

: Breast cancer (BRCA) remains the leading cause of cancer morbidity and mortality worldwide. In the present study, we identified novel biomarkers expressed during estradiol and tamoxifen treatment of BRCA. The microarray dataset of E-MTAB-4975 from Array Express database was downloaded, and the differential expressed genes (DEGs) between estradiol-treated BRCA sample and tamoxifen-treated BRCA sample were identified by limma package. The pathway and gene ontology (GO) enrichment analysis, construction of protein-protein interaction (PPI) network, module analysis, construction of target genes—miRNA interaction network and target genes-transcription factor (TF) interaction network were performed using bioinformatics tools. The expression, prognostic values, and mutation of hub genes were validated by SurvExpress database, cBioPortal, and human protein atlas (HPA) database. A total of 856 genes (421 up-regulated genes and 435 down-regulated genes) were identified in T47D (overexpressing Split Ends (SPEN) + estradiol) samples compared to T47D (overexpressing Split Ends (SPEN) + tamoxifen) samples. Pathway and GO enrichment analysis revealed that the DEGs were mainly enriched in response to lysine degradation II (pipecolate pathway), cholesterol biosynthesis pathway, cell cycle pathway, and response to cytokine pathway. DEGs (MCM2, TCF4, OLR1, HSPA5, MAP1LC3B, SQSTM1, NEU1, HIST1H1B, RAD51, RFC3, MCM10, ISG15, TNFRSF10B, GBP2, IGFBP5, SOD2, DHF and MT1H) , which were significantly up- and down-regulated in estradiol and tamoxifen-treated BRCA samples, were selected as hub genes according to the results of protein-protein interaction (PPI) network, module analysis, target genes—miRNA interaction network and target genes-TF interaction network analysis. The SurvExpress database, cBioPortal, and Human Protein Atlas (HPA) database further confirmed that patients with higher expression levels of these hub genes experienced a shorter overall survival. A comprehensive bioinformatics analysis was performed, and potential therapeutic applications of estradiol and tamoxifen were predicted in BRCA samples. The data may unravel the future molecular mechanisms of BRCA.

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