scholarly journals Integrated Analysis of Liver Transcriptome, miRNA, and Proteome of Chinese Indigenous Breed Ningxiang Pig in Three Developmental Stages Uncovers Significant miRNA–mRNA–Protein Networks in Lipid Metabolism

2021 ◽  
Vol 12 ◽  
Author(s):  
Biao Li ◽  
Jinzeng Yang ◽  
Yan Gong ◽  
Yu Xiao ◽  
Qinghua Zeng ◽  
...  
Keyword(s):  
Lipid Metabolism ◽  
Expression Patterns ◽  
Immune Defense ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Liver Development ◽  
Liver Growth ◽  
Functional Transformation ◽  
Functional Changes ◽  
Glycolipid Metabolism

Liver is an important metabolic organ of mammals. During each transitional period of life, liver metabolism is programmed by a complex molecular regulatory system for multiple physiological functions, many pathways of which are regulated by hormones and cytokines, nuclear receptors, and transcription factors. To gain a comprehensive and unbiased molecular understanding of liver growth and development in Ningxiang pigs, we analyzed the mRNA, microRNA (miRNA), and proteomes of the livers of Ningxiang pigs during lactation, nursery, and fattening periods. A total of 22,411 genes (19,653 known mRNAs and 2758 novel mRNAs), 1122 miRNAs (384 known miRNAs and 738 novel miRNAs), and 1123 unique proteins with medium and high abundance were identified by high-throughput sequencing and mass spectrometry. We show that the differences in transcriptional, post-transcriptional, or protein levels were readily identified by comparing different time periods, providing evidence that functional changes that may occur during liver development are widespread. In addition, we found many overlapping differentially expressed genes (DEGs)/differentially expressed miRNAs (DEMs)/differentially expressed proteins (DEPs) related to glycolipid metabolism in any group comparison. These overlapping DEGs/DEMs/DGPs may play an important role in functional transformation during liver development. Short Time-series Expression Miner (STEM) analysis revealed multiple expression patterns of mRNA, miRNA, and protein in the liver. Furthermore, several diverse key Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, including immune defense, glycolipid metabolism, protein transport and uptake, and cell proliferation and development, were identified by combined analysis of DEGs and DGPs. A number of predicted miRNA–mRNA–protein pairs were found and validated by qRT-PCR and parallel reaction monitoring (PRM) assays. The results provide new and important information about the genetic breeding of Ningxiang pigs, which represents a foundation for further understanding the molecular regulatory mechanisms of dynamic development of liver tissue, functional transformation, and lipid metabolism.

scholarly journals Immune-related miRNA-mRNA regulation network in the livers of DHAV-3-infected ducklings

2019 ◽  
Author(s):  
Fengyao Wu ◽  
Fengying Lu ◽  
Xin Fan ◽  
Jin Chao ◽  
Chuanmin Liu ◽  
...  
Keyword(s):  
Signaling Pathways ◽  
High Throughput Sequencing ◽  
Expression Patterns ◽  
Differentially Expressed ◽  
Receptor Interaction ◽  
Integrated Analysis ◽  
Mrna Regulation ◽  
Duck Hepatitis ◽  
Differentially Expressed Mirnas ◽  
Regulation Network

Abstract Background: Duck hepatitis A virus type 3 (DHAV-3) is one of the most harmful pathogens in the duck industry. However, the molecular mechanism underlying DHAV-3 infection in ducklings is remain poorly understood. To elucidate the genetic regulatory network for miRNA-mRNA and the signaling pathways involved in DHAV-3 infection in ducklings, we conducted global miRNA and mRNA expression profiling of duckling liver tissues infected with lethal DHAV-3 using high-throughput sequencing. Results: We found 156 differentially expressed miRNAs (DEMs) and 7717 differentially expressed miRNAs (DEGs) between mock-infected and DHAV-3-infected duckling livers. A total of 19,606 miRNA-mRNA pairs with negatively correlated expression patterns were identified in miRNA-mRNA networks constructed on the basis of these DEMs and DEGs. Moreover, immune-related pathways including the cytokine-cytokine receptor interaction, apoptosis, Toll-like receptor, Jak-STAT, and RIG-I-like receptor signaling pathway were significantly enriched through analyzing functions of mRNAs in the network in response to DHAV-3 infection. Besides, apl-miR-32-5p, apl-miR-125-5p, apl-miR-128-3p, apl-miR-460-5p, and novel-m0012-3p were identified as potential regulators in the immune-related signaling pathways during the DHAV-3 infection. Conclusions: To our knowledge, this is the first report on integrated analysis of miRNA-seq and mRNA-seq in DHAV-3-infected ducklings. The results indicated the important roles of miRNAs in regulating immune response genes and revealed the immune related miRNA-mRNA regulation network in the DHAV-3-infected duckling liver. Our findings may provide valuable information to further investigate the roles of miRNAs and their target genes in DHAV-3 replication and pathogenesis; additionally, they may offer clues for further understanding host-virus interactions.

scholarly journals Transcriptome Profile Analysis Reveals an Estrogen Induced LncRNA Associated with Lipid Metabolism and Carcass Traits in Chickens (Gallus Gallus)

2018 ◽  
Vol 50 (5) ◽  
pp. 1638-1658 ◽  
Author(s):  
Hong Li ◽  
Zhenzhen Gu ◽  
Liyu Yang ◽  
Yadong Tian ◽  
Xiangtao Kang ◽  
...  
Keyword(s):  
Lipid Metabolism ◽  
Target Genes ◽  
Laying Hens ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Chicken Carcass ◽  
Triglyceride Content

Background/Aims: Accumulating evidences have demonstrated that long noncoding RNAs (lncRNA) play important roles in hepatic lipid metabolism in mammals. However, no systematic screening of the potential lncRNAs in the livers of laying hens has been performed, and few studies have been reported concerning the effects of the lncRNAs on lipid metabolism in the livers of chickens during egg-laying period. The purpose of this study was to compare the difference in lncRNA expression in the livers of pre-laying and peak-laying hens at the age of 20 and 30 weeks old by transcriptome sequencing and to investigate the interaction networks among lncRNAs, mRNAs and miRNAs. Moreover, the regulatory mechanism and biological function of lncLTR, a significantly differentially expressed lncRNA in the liver between pre- and peak-laying hens, was explored in vitro and in vivo. Methods: Bioinformatics analyses were conducted to identify the differentially expressed (DE) lncRNAs between the two groups of hens. The target genes of the DE lncRNA were predicated for further functional enrichment. An integrated analysis was performed among the DE lncRNA datasets, DE mRNAs and DE miRNA datasets obtained from the same samples to predict the interaction relationship. In addition, in vivo and in vitro trials were carried out to determine the expression regulation of lncLTR, and polymorphism association analysis was conducted to detect the biological role of ncLTR. Results: A total of 124 DE lncRNAs with a P-value ≤ 0.05 were identified. Among them, 44 lncRNAs including 30 known and 14 novel lncRNAs were significant differentially expressed (SDE) with FDR ≤ 0.05. Thirty-two lncRNAs were upregulated and 12 were downregulated in peak-laying group compared with pre-laying group. The functional enrichment results revealed that target genes of some lncRNAs are involved in the lipid metabolism process. Integrated analysis suggested that some of the genes involved in lipid metabolism might be regulated by both the lncRNA and the miRNA. In addition, an upregulated lncRNA, designated lncLTR, was demonstrated to be induced by estrogen via ERβ signaling. The c242. G>A SNP in lncLTR was significantly associated with chicken carcass weight, evisceration weight, semi-evisceration weight, head weight, double-wing weight, claw weight traits, and blood biochemical index, especially for the blood triglyceride content. Conclusion: A series of lncRNAs associated with lipid metabolism in the livers of chickens were identified by transcriptome sequencing and functional analysis, providing a valuable data resource for further studies on chicken hepatic metabolism activities. LncLTR was regulated by estrogen via ERβ signaling and associated with chicken carcass trait and blood triglyceride content.

scholarly journals Integrated Analysis of a Competing Endogenous RNA Network Reveals a Prognostic lncRNA Signature in Bladder Cancer

2021 ◽  
Vol 11 ◽  
Author(s):  
Mou Peng ◽  
Xu Cheng ◽  
Wei Xiong ◽  
Lu Yi ◽  
Yinhuai Wang
Keyword(s):  
Bladder Cancer ◽  
Expression Patterns ◽  
Differential Expression Analysis ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Competing Endogenous Rna ◽  
Predictive Tool ◽  
Aberrant Expression ◽  
Cerna Network ◽  
Rna Interaction

Long non-coding RNAs (lncRNAs) act as competing endogenous RNAs (ceRNAs) to regulate mRNA expression through sponging microRNA in tumorigenesis and progression. However, following the discovery of new RNA interaction, the differentially expressed RNAs and ceRNA regulatory network are required to update. Our study comprehensively analyzed the differentially expressed RNA and corresponding ceRNA network and thus constructed a potentially predictive tool for prognosis. “DESeq2” was used to perform differential expression analysis. Two hundred and six differentially expressed (DE) lncRNAs, 222 DE miRNAs, and 2,463 DE mRNAs were found in this study. The lncRNA-mRNA interactions in the miRcode database and the miRNA-mRNA interactions in the starBase, miRcode, and mirTarBase databases were searched, and a competing endogenous RNA (ceRNA) network with 186 nodes and 836 interactions was subsequently constructed. Aberrant expression patterns of lncRNA NR2F1-AS1 and lncRNA AC010168.2 were evaluated in two datasets (GSE89006, GSE31684), and real-time polymerase chain reaction was also performed to validate the expression pattern. Furthermore, we found that these two lncRNAs were independent prognostic biomarkers to generate a prognostic lncRNA signature by univariate and multivariate Cox analyses. According to the lncRNA signature, patients in the high-risk group were associated with a poor prognosis and validated by an external dataset. A novel genomic-clinicopathologic nomogram to improve prognosis prediction of bladder cancer was further plotted and calibrated. Our study deepens the understanding of the regulatory ceRNA network and provides an easy-to-do genomic-clinicopathological nomogram to predict the prognosis in patients with bladder cancer.

scholarly journals Integrated analysis of lncRNA and mRNA transcriptomes reveals the potential regulatory role of lncRNA in kiwifruit ripening and softening

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yiting Chen ◽  
Chunzhen Cheng ◽  
Xin Feng ◽  
Ruilian Lai ◽  
Minxia Gao ◽  
...  
Keyword(s):  
Noncoding Rna ◽  
Target Genes ◽  
Expression Patterns ◽  
Ethylene Biosynthesis ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Ethylene Response Factor ◽  
Acid Oxidase ◽  
Fruit Softening ◽  
Oxidase Gene

AbstractKiwifruit has gained increasing attention worldwide for its unique flavor and high nutritional value. Rapid softening after harvest greatly shortens its shelf-life and reduces the commercial value. Therefore, it is imperative and urgent to identify and clarify its softening mechanism. This study aimed to analyze and compare the long noncoding RNA (lncRNA) and mRNA expression patterns in ABA-treated (ABA) and room temperature (RT)-stored fruits with those in freshly harvested fruits (CK) as control. A total of 697 differentially expressed genes (DEGs) and 81 differentially expressed lncRNAs (DELs) were identified while comparing ABA with CK, and 458 DEGs and 143 DELs were detected while comparing RT with CK. The Kyoto Encyclopedia of Genes and Genomes analysis of the identified DEGs and the target genes of DELs revealed that genes involved in starch and sucrose metabolism, brassinosteroid biosynthesis, plant hormone signal transduction, and flavonoid biosynthesis accounted for a large part. The co-localization networks, including 38 DEGs and 31 DELs in ABA vs. CK, and 25 DEGs and 25 DELs in RT vs. CK, were also performed. Genes related to fruit ripening, such as genes encoding β-galactosidase, mannan endo-1,4-β-mannosidase, pectinesterase/pectinesterase inhibitor, and NAC transcription factor, were present in the co-localization network, suggesting that lncRNAs were involved in regulating kiwifruit ripening. Notably, several ethylene biosynthesis- and signaling-related genes, including one 1-aminocyclopropane-1-carboxylic acid oxidase gene and three ethylene response factor genes, were found in the co-localization network of ABA vs. CK, suggesting that the promoting effect of ABA on ethylene biosynthesis and fruit softening might be embodied by increasing the expression of these lncRNAs. These results may help understand the regulatory mechanism of lncRNAs in ripening and ABA-induced fruit softening of kiwifruit.

scholarly journals Comparative profiling of microRNA expression in the developing seeds of high- and low-oil tea oil camellia (Camellia oleifera) cultivars

2019 ◽  
Author(s):  
Bo Wu ◽  
Chengjiang Ruan ◽  
Wanchen Zhang ◽  
Asad Hussain Shah ◽  
Sihei Liu
Keyword(s):  
Lipid Metabolism ◽  
Target Genes ◽  
Sequence Data ◽  
Southern China ◽  
Expression Patterns ◽  
Integrated Analysis ◽  
Small Rna Sequencing ◽  
Camellia Oleifera ◽  
Illumina Platform ◽  
Function Modules

Abstract Background Tea oil camellia (Camellia oleifera), an important woody oil tree, is a source of seed oil of high nutritional and medicinal values and has been widely planted in southern China. However, there are few reports on the identification of miRNAs involved in seed lipid metabolism in high- and low-oil cultivars of tea oil camellia. Results An miRNA sequencing database was constructed for an Illumina platform, which was used to perform high-throughput small RNA sequencing of seeds of high- and low-oil cultivars of tea oil camellia at four different developmental stages, and the important relevant miRNAs and their target genes were identified. A total of 196 miRNAs, including 156 known miRNAs from 35 families and 40 novel miRNAs, were identified, and 55 significantly differentially expressed miRNAs were found. An integrated analysis of miRNA and mRNA transcriptome sequence data and qRT-PCR-based information was performed and revealed that 10 miRNA-mRNA function modules were related to lipid metabolism and 23 miRNA-mRNA function modules were involved in the regulation of seed size. Conclusion Mining and studying the expression patterns and functions of miRNAs and their regulatory target genes can not only promote the development of miRNAs related to tea oil camellia in public resource databases but also provide important theoretical value and a scientific basis for the genetic improvement of new varieties of tea oil camellia in the future.

scholarly journals 7-Ketocholesterol Induces Lipid Metabolic Reprogramming and Enhances Cholesterol Ester Accumulation in Cardiac Cells

Cells ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 3597
Author(s):  
Mei-Ling Cheng ◽  
Hsiang-Yu Tang ◽  
Pei-Ting Wu ◽  
Cheng-Hung Yang ◽  
Chi-Jen Lo ◽  
...  
Keyword(s):  
Lipid Metabolism ◽  
Mevalonic Acid ◽  
Cholesterol Content ◽  
Cardiac Cells ◽  
Metabolic Reprogramming ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Mva Pathway ◽  
Encoding Genes ◽  
Cholesteryl Ester Accumulation

7-Ketocholesterol (7KCh) is a major oxidized cholesterol product abundant in lipoprotein deposits and atherosclerotic plaques. Our previous study has shown that 7KCh accumulates in erythrocytes of heart failure patients, and further investigation centered on how 7KCh may affect metabolism in cardiomyocytes. We applied metabolomics to study the metabolic changes in cardiac cell line HL-1 after treatment with 7KCh. Mevalonic acid (MVA) pathway-derived metabolites, such as farnesyl-pyrophosphate and geranylgeranyl-pyrophosphate, phospholipids, and triacylglycerols levels significantly declined, while the levels of lysophospholipids, such as lysophosphatidylcholines (lysoPCs) and lysophosphatidylethanolamines (lysoPEs), considerably increased in 7KCh-treated cells. Furthermore, the cholesterol content showed no significant change, but the production of cholesteryl esters was enhanced in the treated cells. To explore the possible mechanisms, we applied mRNA-sequencing (mRNA-seq) to study genes differentially expressed in 7KCh-treated cells. The transcriptomic analysis revealed that genes involved in lipid metabolic processes, including MVA biosynthesis and cholesterol transport and esterification, were differentially expressed in treated cells. Integrated analysis of both metabolomic and transcriptomic data suggests that 7KCh induces cholesteryl ester accumulation and reprogramming of lipid metabolism through altered transcription of such genes as sterol O-acyltransferase- and phospholipase A2-encoding genes. The 7KCh-induced reprogramming of lipid metabolism in cardiac cells may be implicated in the pathogenesis of cardiovascular diseases.

scholarly journals Integrated analysis of transcriptomic and proteomic data from tree peony (P. ostii) seeds reveals key developmental stages and candidate genes related to oil biosynthesis and fatty acid metabolism

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Xiaojing Wang ◽  
Haiying Liang ◽  
Dalong Guo ◽  
Lili Guo ◽  
Xiangguang Duan ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Seed Development ◽  
Fatty Acid Metabolism ◽  
Proteomic Analysis ◽  
Acid Metabolism ◽  
Expression Patterns ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Tree Peony ◽  
Oil Biosynthesis

Abstract Tree peony (Paeonia section Moutan DC.) seeds are an excellent source of beneficial natural compounds that promote health, and they contain high levels of alpha-linolenic acid (ALA). In recent years, tree peony has been emerging as an oil crop. Therefore, combined analysis of the transcriptome and proteome of tree peony (P. ostii) seeds at 25, 32, 39, 53, 67, 81, 88, 95, and 109 days after pollination (DAP) was conducted to better understand the transcriptional and translational regulation of seed development and oil biosynthesis. A total of 38,482 unigenes and 2841 proteins were identified. A total of 26,912 differentially expressed genes (DEGs) and 592 differentially expressed proteins (DEPs) were clustered into three groups corresponding to the rapid growth, seed inclusion enrichment and conversion, and late dehydration and mature stages of seed development. Fifteen lipid metabolism pathways were identified at both the transcriptome and proteome levels. Pathway enrichment analysis revealed that a period of rapid fatty acid biosynthesis occurred at 53–88 DAP. Furthermore, 211 genes and 35 proteins associated with the fatty acid metabolism pathway, 63 genes and 11 proteins associated with the biosynthesis of unsaturated fatty acids (UFAs), and 115 genes and 24 proteins associated with ALA metabolism were identified. Phylogenetic analysis revealed that 16 putative fatty acid desaturase (FAD)-encoding genes clustered into four FAD groups, eight of which exhibited the highest expression at 53 DAP, suggesting that they play an important role in ALA accumulation. RT-qPCR analysis indicated that the temporal expression patterns of oil biosynthesis genes were largely similar to the RNA-seq results. The expression patterns of fatty acid metabolism- and seed development-related proteins determined by MRM were also highly consistent with the results obtained in the proteomic analysis. Correlation analysis indicated significant differences in the number and abundance of DEGs and DEPs but a high level of consistency in expression patterns and metabolic pathways. The results of the present study represent the first combined transcriptomic and proteomic analysis of tree peony seeds and provide insight into tree peony seed development and oil accumulation.

scholarly journals Genome-Wide Analysis of the miRNA–mRNAs Network Involved in Cold Tolerance in Populus simonii × P. nigra

Genes ◽  
2019 ◽  
Vol 10 (6) ◽  
pp. 430 ◽  
Author(s):  
Bo Zhou ◽  
Yutong Kang ◽  
Jingtong Leng ◽  
Qijiang Xu
Keyword(s):  
Cold Tolerance ◽  
High Throughput Sequencing ◽  
Expression Patterns ◽  
Differential Expression Analysis ◽  
Chilling Injury ◽  
Cold Treatment ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Populus Simonii ◽  
Cold Induction

Background: Cold tolerance is important for plants’ geographical distribution and survival in extreme seasonal variations of climate. However, Populus simonii × P. nigra shows wide adaptability and strong cold resistance. Transcriptional and post-transcriptional regulation of cold-responsive genes is crucial for cold tolerance in plants. To understand the roles of regulatory RNAs under cold induction in Populus simonii × P. nigra, we constructed cDNA and small RNA libraries from leaf buds treated or not with −4 °C for 8 h for analysis. Results: Through high-throughput sequencing and differential expression analysis, 61 miRNAs and 1229 DEGs were identified under cold induction condition in Populus simonii × P. nigra. The result showed that miR167a, miR1450, miR319a, miR395b, miR393a-5p, miR408-5p, and miR168a-5p were downregulated, whereas transcription level of miR172a increased under the cold treatment. Thirty-one phased-siRNA were also obtained (reads ≥ 4) and some of them proceeded from TAS3 loci. Analysis of the differentially expressed genes (DEGs) showed that transcription factor genes such as Cluster-15451.2 (putative MYB), Cluster-16493.29872 (putative bZIP), Cluster-16493.29175 (putative SBP), and Cluster-1378.1 (putative ARF) were differentially expressed in cold treated and untreated plantlets of Populus simonii × P. nigra. Integrated analysis of miRNAs and transcriptome showed miR319, miR159, miR167, miR395, miR390, and miR172 and their target genes, including MYB, SBP, bZIP, ARF, LHW, and ATL, were predicted to be involved in ARF pathway, SPL pathway, DnaJ related photosystem II, and LRR receptor kinase, and many of them are known to resist chilling injury. Particularly, a sophisticated regulatory model including miRNAs, phasiRNAs, and targets of them was set up. Conclusions: Integrated analysis of miRNAs and transcriptome uncovered the complicated regulation of the tolerance of cold in Populus simonii × P. nigra. MiRNAs, phasiRNAs, and gene-encoded transcription factors were characterized at a whole genome level and their expression patterns were proved to be complementary. This work lays a foundation for further research of the pathway of sRNAs and regulatory factors involved in cold tolerance.

scholarly journals Integrated analysis of miRNA-seq and mRNA-seq reveals immune related miRNA-mRNA regulation network in the DHAV-3-infected duckling liver

2019 ◽  
Author(s):  
Fengyao Wu ◽  
Fengying Lu ◽  
Xin Fan ◽  
Jin Chao ◽  
Chuanmin Liu ◽  
...  
Keyword(s):  
Signaling Pathways ◽  
High Throughput Sequencing ◽  
Expression Patterns ◽  
Differentially Expressed ◽  
Receptor Interaction ◽  
Integrated Analysis ◽  
Mrna Regulation ◽  
Duck Hepatitis ◽  
Differentially Expressed Mirnas ◽  
Regulation Network

Abstract Background: Duck hepatitis A virus type 3 (DHAV-3) is one of the most harmful pathogens in the duck industry. However, the molecular mechanism underlying DHAV-3 infection in ducklings is remain poorly understood. To elucidate the genetic regulatory network for miRNA-mRNA and the signaling pathways involved in DHAV-3 infection in ducklings, we conducted global miRNA and mRNA expression profiling of duckling liver tissues infected with lethal DHAV-3 using high-throughput sequencing. Results: We found 156 differentially expressed miRNAs (DEMs) and 7717 differentially expressed miRNAs (DEGs) between mock-infected and DHAV-3-infected duckling livers. A total of 19,606 miRNA-mRNA pairs with negatively correlated expression patterns were identified in miRNA-mRNA networks constructed on the basis of these DEMs and DEGs. Moreover, immune-related pathways including the cytokine-cytokine receptor interaction, apoptosis, Toll-like receptor, Jak-STAT, and RIG-I-like receptor signaling pathway were significantly enriched through analyzing functions of mRNAs in the network in response to DHAV-3 infection. Besides, apl-miR-32-5p, apl-miR-125-5p, apl-miR-128-3p, apl-miR-460-5p, and novel-m0012-3p were identified as potential regulators in the immune-related signaling pathways during the DHAV-3 infection. Conclusions: To our knowledge, this is the first report on integrated analysis of miRNA-seq and mRNA-seq in DHAV-3-infected ducklings. The results indicated the important roles of miRNAs in regulating immune response genes and revealed the immune related miRNA-mRNA regulation network in the DHAV-3-infected duckling liver. Our findings may provide valuable information to further investigate the roles of miRNAs and their target genes in DHAV-3 replication and pathogenesis; additionally, they may offer clues for further understanding host-virus interactions.

scholarly journals Hub microRNAs and genes in the development of atrial fibrillation identified by weighted gene co-expression network analysis

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Qiang Qu ◽  
Jin-Yu Sun ◽  
Zhen-Ye Zhang ◽  
Yue Su ◽  
Shan-Shan Li ◽  
...  
Keyword(s):  
Network Analysis ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
Expression Patterns ◽  
Mirna Gene ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Interaction Patterns ◽  
Hub Genes ◽  
Key Genes

AbstractCo-expression network may contribute to better understanding molecular interaction patterns underlying cellular processes. To explore microRNAs (miRNAs) expression patterns correlated with AF, we performed weighted gene co-expression network analysis (WGCNA) based on the dataset GSE28954. Thereafter, we predicted target genes using experimentally verified databases (ENOCRI, miRTarBase, and Tarbase), and overlapped genes with differentially expressed genes (DEGs) from GSE79768 were identified as key genes. Integrated analysis of association between hub miRNAs and key genes was conducted to screen hub genes. In general, we identified 3 differentially expressed miRNAs (DEMs) and 320 DEGs, predominantly enriched in inflammation-related functional items. Two significant modules (red and blue) and hub miRNAs (hsa-miR-146b-5p and hsa-miR-378a-5p), which highly correlated with AF-related phenotype, were detected by WGCNA. By overlapping the DEGs and predicted target genes, 38 genes were screened out. Finally, 9 genes (i.e. ATP13A3, BMP2, CXCL1, GABPA, LIF, MAP3K8, NPY1R, S100A12, SLC16A2) located at the core region in the miRNA-gene interaction network were identified as hub genes. In conclusion, our study identified 2 hub miRNAs and 9 hub genes, which may improve the understanding of molecular mechanisms and help to reveal potential therapeutic targets against AF.

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