Systematic Identification and Comparison of the Expressed Profiles of lncRNAs, miRNAs, circRNAs, and mRNAs with Associated Co-Expression Networks in Pigs with Low and High Intramuscular Fat

Intramuscular fat (IMF) content is a complex trait that affects meat quality and determines pork quality. In order to explore the potential mechanisms that affect the intramuscular fat content of pigs, a Large white × Min pigs F2 resource populations were constructed, then whole-transcriptome profile analysis was carried out for five low-IMF and five high-IMF F2 individuals. In total, 218 messenger RNA (mRNAs), 213 long non-coding RNAs (lncRNAs), 18 microRNAs (miRNAs), and 59 circular RNAs (circRNAs) were found to be differentially expressed in the longissimus dorsi muscle. Gene ontology analysis and Kyoto Encyclopedia of Genes and Genomes annotations revealed that these differentially expressed (DE) genes or potential target genes (PTGs) of DE regulatory RNAs (lncRNAs, miRNAs, and circRNAs) are mainly involved in cell differentiation, fatty acid synthesis, system development, muscle fiber development, and regulating lipid metabolism. In total, 274 PTGs were found to be differentially expressed between low- and high-IMF pigs, which indicated that some DE regulatory RNAs may contribute to the deposition/metabolism of IMF by regulating their PTGs. In addition, we analyzed the quantitative trait loci (QTLs) of DE RNAs co-located in high- and low-IMF groups. A total of 97 DE regulatory RNAs could be found located in the QTLs related to IMF. Co-expression networks among different types of RNA and competing endogenous RNA (ceRNA) regulatory networks were also constructed, and some genes involved in type I diabetes mellitus were found to play an important role in the complex molecular process of intramuscular fat deposition. This study identified and analyzed some differential RNAs, regulatory RNAs, and PTGs related to IMF, and provided new insights into the study of IMF formation at the level of the genome-wide landscape.

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Identification of Potential Biomarkers and Biological Pathways in Juvenile Dermatomyositis Based on miRNA-mRNA Network

BioMed Research International ◽

10.1155/2019/7814287 ◽

2019 ◽

Vol 2019 ◽

pp. 1-9 ◽

Cited By ~ 1

Author(s):

Cheng-Cheng Qiu ◽

Qi-Sheng Su ◽

Shang-Yong Zhu ◽

Ruo-Chuan Liu

Keyword(s):

Regulatory Network ◽

Messenger Rna ◽

Target Genes ◽

Juvenile Dermatomyositis ◽

Type I Diabetes ◽

Differentially Expressed ◽

Pathway Enrichment Analysis ◽

Type I ◽

Ppi Network ◽

Potential Biomarkers

Objective. The aim of this study is to explore the potential pathogenesis of juvenile dermatomyositis by bioinformatics analysis of gene chips, which would screen the hub genes, identify potential biomarkers, and reveal the development mechanism of juvenile dermatomyositis. Material and Methods. We retrieved juvenile dermatomyositis’s original expression microarray data of message RNAs (mRNAs) and microRNAs (miRNAs) from NCBI’s Gene Expression Omnibus database (GEO, http://www.ncbi.nlm.nih.gov/geo/); through the R package of limma in Bioconductor, we can screen the differentially expressed miRNAs and mRNAs, and then we further analyzed the predicted target genes by the methods such as Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and miRNA-mRNA regulatory network construction and protein-protein interaction (PPI) network using Cytoscape 3.6.1. Results. Compared with normal juvenile skin tissues, 6 upregulated microRNAs and 5 downregulated microRNAs were identified from 166 downregulated microRNAs and 58 upregulated microRNAs in juvenile dermatomyositis tissues. The enrichment pathways of differentially expressed microRNAs include cell adhesion molecules (CAMs), autoimmune thyroid disease, Type I diabetes mellitus, antigen and presentation, viral myocardium, graft-versus-host disease, and Kaposi sarcoma-associated herpes virus infection. By screening of microRNA-messenger RNA regulatory network and construction of PPI network map, three target miRNAs were identified, namely, miR-193b, miR-199b-5p, and miR-665. Conclusion. We identified mir-193b, mir-199b-5p, and mir-6653 target miRNAs by exploring the miRNA-mRNA regulation network mechanism related to the pathogenesis of juvenile dermatomyositis, which will be of great significance for further study on the pathogenesis and targeted therapy of juvenile dermatomyositis.

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Identification of Differentially Expressed Non-coding RNA Networks With Potential Immunoregulatory Roles During Salmonella Enteritidis Infection in Ducks

Frontiers in Veterinary Science ◽

10.3389/fvets.2021.692501 ◽

2021 ◽

Vol 8 ◽

Author(s):

Yu Zhang ◽

Xiaoqian Dong ◽

Lie Hou ◽

Zhengfeng Cao ◽

Guoqiang Zhu ◽

...

Keyword(s):

Granulosa Cells ◽

Regulatory Networks ◽

Egg Production ◽

Salmonella Enteritidis ◽

Time Course ◽

Target Genes ◽

Differentially Expressed ◽

Receptor Interaction ◽

Circular Rnas ◽

Preovulatory Follicles

Salmonella enterica serovar Enteritidis (S. Enteritidis) is a pathogen that can colonize the preovulatory follicles of poultry, thereby causing both reduced egg production and an elevated risk of foodborne salmonellosis in humans. Although a few studies have revealed S. Enteritidis preferentially invades the granulosa cell layer within these follicles, it can readily persist and proliferate through mechanisms that are not well-understood. In this study, we characterized competing endogenous RNA (ceRNA) regulatory networks within duck granulosa cells following time-course of S. Enteritidis challenge. The 8108 long non-coding RNAs (lncRNAs), 1545 circular RNAs (circRNAs), 542 microRNAs (miRNAs), and 4137 mRNAs (fold change ≥2; P < 0.01) were differentially expressed during S. Enteritidis challenge. Also, eight mRNAs, eight lncRNAs and five circRNAs were selected and the consistent expression trend was found between qRT-PCR detection and RNA-seq. Moreover, the target genes of these differentially expressed ncRNAs (including lncRNAs, circRNAs and miRNAs) were predicted, and significantly enriched in the innate immune response and steroidogenesis pathways. Then, the colocalization and coexpression analyses were conducted to investigate relationships between ncRNAs and mRNAs. The 16 differentially expressed miRNAs targeting 60 differentially expressed mRNAs were identified in granulosa cells at 3 and 6 h post-infection (hpi) and enriched in the MAPK, GnRH, cytokine-cytokine receptor interaction, Toll-like receptor, endocytosis, and oxidative phosphorylation signaling pathways. Additionally, underlying lncRNA-miRNA-mRNA and circRNA-miRNA-mRNA ceRNA networks were then constructed to further understand their interaction during S. Enteritidis infection. Lnc_012227 and novel_circ_0004892 were identified as ceRNAs, which could compete with miR-let-7g-5p and thereby indirectly modulating map3k8 expression to control S. Enteritidis infection. Together, our data thus identified promising candidate ncRNAs responsible for regulating S. Enteritidis infection in the preovulatory follicles of ducks, offering new insights regarding the ovarian transmission of this pathogen.

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Integrated Analysis of circRNA-miRNA-mRNA Regulatory Networks in the Intestine of Sebastes schlegelii Following Edwardsiella tarda Challenge

Frontiers in Immunology ◽

10.3389/fimmu.2020.618687 ◽

2021 ◽

Vol 11 ◽

Author(s):

Min Cao ◽

Xu Yan ◽

Baofeng Su ◽

Ning Yang ◽

Qiang Fu ◽

...

Keyword(s):

Signaling Pathways ◽

Signaling Pathway ◽

Regulatory Networks ◽

Target Genes ◽

Differentially Expressed ◽

Edwardsiella Tarda ◽

Circular Rnas ◽

Integrated Analysis ◽

Apoptosis Pathway ◽

Sebastes Schlegelii

Sebastes schlegelii, an important aquaculture species, has been widely cultured in East Asian countries. With the increase in the cultivation scale, various diseases have become major threats to the industry. Evidence has shown that non-coding RNAs (ncRNAs) have remarkable functions in the interactions between pathogens and their hosts. However, little is known about the mechanisms of circular RNAs (circRNAs) and coding RNAs in the process of preventing pathogen infection in the intestine in teleosts. In this study, we aimed to uncover the global landscape of mRNAs, circRNAs, and microRNAs (miRNAs) in response to Edwardsiella tarda infection at different time points (0, 2, 6, 12, and 24 h) and to construct regulatory networks for exploring the immune regulatory mechanism in the intestine of S. schlegelii. In total, 1,794 mRNAs, 87 circRNAs, and 79 miRNAs were differentially expressed. The differentially expressed RNAs were quantitatively validated using qRT-PCR. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis showed that most of the differentially expressed mRNA genes and the target genes of ncRNAs were related to immune signaling pathways, such as the NF-κB signal pathway, pathogen recognition receptors related to signaling pathways (Toll-like receptors and Nod-like receptors), and the chemokine signaling pathway. Based on these differentially expressed genes, 624 circRNA-miRNA pairs and 2,694 miRNA-mRNA pairs were predicted using the miRanda software. Integrated analyses generated 25 circRNA-miRNA-mRNA interaction networks. In a novel_circ_0004195/novel-530/IκB interaction network, novel_530 was upregulated, while its two targets, novel_circ_0004195 and IκB, were downregulated after E. tarda infection. In addition, two circRNA-miRNA-mRNA networks related to apoptosis (novel_circ_0003210/novel_152/apoptosis-stimulating of p53 protein 1) and interleukin (novel_circ_0001907/novel_127/interleukin-1 receptor type 2) were also identified in our study. We thus speculated that the downstream NF-κB signaling pathway, p53 signaling pathway, and apoptosis pathway might play vital roles in the immune response in the intestine of S. schlegelii. This study revealed a landscape of RNAs in the intestine of S. schlegelii during E. tarda infection and provided clues for further study on the immune mechanisms and signaling networks based on the circRNA-miRNA-mRNA axis in S. schlegelii.

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Regulatory role of non-coding RNA in ginseng rusty root symptom tissue

Scientific Reports ◽

10.1038/s41598-021-88709-3 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Xingbo Bian ◽

Pengcheng Yu ◽

Ling Dong ◽

Yan Zhao ◽

He Yang ◽

...

Keyword(s):

Fatty Acid ◽

Regulatory Networks ◽

Target Genes ◽

Enrichment Analysis ◽

Functional Enrichment Analysis ◽

Functional Enrichment ◽

Differentially Expressed ◽

Circular Rnas ◽

Primary Metabolism ◽

Non Coding Rna

AbstractGinseng rusty root symptom (GRS) is one of the primary diseases of ginseng. It leads to a severe decline in the quality of ginseng and significantly affects the ginseng industry. The regulatory mechanism of non-coding RNA (ncRNA) remains unclear in the course of disease. This study explored the long ncRNAs (lncRNAs), circular RNAs (circRNAs), and microRNAs (miRNAs) in GRS tissues and healthy ginseng (HG) tissues and performed functional enrichment analysis of the screened differentially expressed ncRNAs. Considering the predictive and regulatory effects of ncRNAs on mRNAs, we integrated ncRNA and mRNA data to analyze and construct relevant regulatory networks. A total of 17,645 lncRNAs, 245 circRNAs, and 299 miRNAs were obtained from HG and GRS samples, and the obtained ncRNAs were characterized, including the classification of lncRNAs, length and distribution of circRNA, and the length and family affiliations of miRNAs. In the analysis of differentially expressed ncRNA target genes, we found that lncRNAs may be involved in the homeostatic process of ginseng tissues and that lncRNAs, circRNAs, and miRNAs are involved in fatty acid-related regulation, suggesting that alterations in fatty acid-related pathways may play a key role in GRS. Besides, differentially expressed ncRNAs play an essential role in regulating transcriptional translation processes, primary metabolism such as starch and sucrose, and secondary metabolism such as alkaloids in ginseng tissues. Finally, we integrated the correlations between ncRNAs and mRNAs, constructed corresponding interaction networks, and identified ncRNAs that may play critical roles in GRS. These results provide a basis for revealing GRS's molecular mechanism and enrich our understanding of ncRNAs in ginseng.

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Megalocytivirus Induces Complicated Fish Immune Response at Multiple RNA Levels Involving mRNA, miRNA, and circRNA

International Journal of Molecular Sciences ◽

10.3390/ijms22063156 ◽

2021 ◽

Vol 22 (6) ◽

pp. 3156

Author(s):

Qian Wu ◽

Xianhui Ning ◽

Li Sun

Keyword(s):

Messenger Rna ◽

Regulatory Networks ◽

High Throughput Sequencing ◽

Paralichthys Olivaceus ◽

Integrative Analysis ◽

Differentially Expressed ◽

Circular Rnas ◽

Integrated Analysis ◽

Dependent Manner ◽

Viral Pathogen

Megalocytivirus is an important viral pathogen to many farmed fishes, including Japanese flounder (Paralichthys olivaceus). In this study, we examined megalocytivirus-induced RNA responses in the spleen of flounder by high-throughput sequencing and integrative analysis of various RNA-seq data. A total of 1327 microRNAs (miRNAs), including 368 novel miRNAs, were identified, among which, 171 (named DEmiRs) exhibited significantly differential expressions during viral infection in a time-dependent manner. For these DEmiRs, 805 differentially expressed target mRNAs (DETmRs) were predicted, whose expressions not only significantly changed after megalocytivirus infection but were also negatively correlated with their paired DEmiRs. Integrative analysis of immune-related DETmRs and their target DEmiRs identified 12 hub DEmiRs, which, together with their corresponding DETmRs, formed an interaction network containing 84 pairs of DEmiR and DETmR. In addition to DETmRs, 19 DEmiRs were also found to regulate six key immune genes (mRNAs) differentially expressed during megalocytivirus infection, and together they formed a network consisting of 21 interactive miRNA-messenger RNA (mRNA) pairs. Further analysis identified 9434 circular RNAs (circRNAs), 169 of which (named DEcircRs) showed time-specific and significantly altered expressions during megalocytivirus infection. Integrated analysis of the DETmR-DEmiR and DEcircR-DEmiR interactions led to the identification of a group of competing endogenous RNAs (ceRNAs) constituted by interacting triplets of circRNA, miRNA, and mRNA involved in antiviral immunity. Together these results indicate that complicated regulatory networks of different types of non-coding RNAs and coding RNAs are involved in megalocytivirus infection.

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Sex-Biased lncRNA Signature in Fetal Growth Restriction (FGR)

Cells ◽

10.3390/cells10040921 ◽

2021 ◽

Vol 10 (4) ◽

pp. 921

Author(s):

Aleksandra Lipka ◽

Jan Pawel Jastrzebski ◽

Lukasz Paukszto ◽

Karol Gustaw Makowczenko ◽

Elzbieta Lopienska-Biernat ◽

...

Keyword(s):

Fetal Growth ◽

Fetal Growth Restriction ◽

Target Genes ◽

Active Regions ◽

Bioinformatic Analysis ◽

Growth Restriction ◽

Differentially Expressed ◽

Circular Rnas ◽

Differential Analysis ◽

Protein Coding

Impaired fetal growth is one of the most important causes of prematurity, stillbirth and infant mortality. The pathogenesis of idiopathic fetal growth restriction (FGR) is poorly understood but is thought to be multifactorial and comprise a range of genetic causes. This research aimed to investigate non-coding RNAs (lncRNAs) in the placentas of male and female fetuses affected by FGR. RNA-Seq data were analyzed to detect lncRNAs, their potential target genes and circular RNAs (circRNAs); a differential analysis was also performed. The multilevel bioinformatic analysis enabled the detection of 23,137 placental lncRNAs and 4263 of them were classified as novel. In FGR-affected female fetuses’ placentas (ff-FGR), among 19 transcriptionally active regions (TARs), five differentially expressed lncRNAs (DELs) and 12 differentially expressed protein-coding genes (DEGs) were identified. Within 232 differentially expressed TARs identified in male fetuses (mf-FGR), 33 encompassed novel and 176 known lncRNAs, and 52 DEGs were upregulated, while 180 revealed decreased expression. In ff-FGR ACTA2-AS1, lncRNA expression was significantly correlated with five DEGs, and in mf-FGR, 25 TARs were associated with DELs correlated with 157 unique DEGs. Backsplicing circRNA processes were detected in the range of H19 lncRNA, in both ff- and mf-FGR placentas. The performed global lncRNAs characteristics in terms of fetal sex showed dysregulation of DELs, DEGs and circRNAs that may affect fetus growth and pregnancy outcomes. In female placentas, DELs and DEGs were associated mainly with the vasculature, while in male placentas, disturbed expression predominantly affected immune processes.

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Identifying Differentially Expressed MicroRNAs, Target Genes, and Key Pathways Deregulated in Patients with Liver Diseases

International Journal of Molecular Sciences ◽

10.3390/ijms21197368 ◽

2020 ◽

Vol 21 (19) ◽

pp. 7368

Author(s):

Maryam Gholizadeh ◽

Sylwia Szelag-Pieniek ◽

Mariola Post ◽

Mateusz Kurzawski ◽

Jesus Prieto ◽

...

Keyword(s):

Messenger Rna ◽

Liver Diseases ◽

Target Genes ◽

Topological Analysis ◽

Mirna Gene ◽

Mrna Translation ◽

Differentially Expressed ◽

Microrna Target ◽

Disease Etiology ◽

Key Pathways

Liver diseases are important causes of morbidity and mortality worldwide. The aim of this study was to identify differentially expressed microRNAs (miRNAs), target genes, and key pathways as innovative diagnostic biomarkers in liver patients with different pathology and functional state. We determined, using RT-qPCR, the expression of 472 miRNAs in 125 explanted livers from subjects with six different liver pathologies and from control livers. ANOVA was employed to obtain differentially expressed miRNAs (DEMs), and miRDB (MicroRNA target prediction database) was used to predict target genes. A miRNA–gene differential regulatory (MGDR) network was constructed for each condition. Key miRNAs were detected using topological analysis. Enrichment analysis for DEMs was performed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID). We identified important DEMs common and specific to the different patient groups and disease progression stages. hsa-miR-1275 was universally downregulated regardless the disease etiology and stage, while hsa-let-7a*, hsa-miR-195, hsa-miR-374, and hsa-miR-378 were deregulated. The most significantly enriched pathways of target genes controlled by these miRNAs comprise p53 tumor suppressor protein (TP53)-regulated metabolic genes, and those involved in regulation of methyl-CpG-binding protein 2 (MECP2) expression, phosphatase and tensin homolog (PTEN) messenger RNA (mRNA) translation and copper homeostasis. Our findings show a novel panel of deregulated miRNAs in the liver tissue from patients with different liver pathologies. These miRNAs hold potential as biomarkers for diagnosis and staging of liver diseases.

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Research Status of Differentially Expressed Noncoding RNAs in Type 2 Diabetes Patients

BioMed Research International ◽

10.1155/2020/3816056 ◽

2020 ◽

Vol 2020 ◽

pp. 1-18

Author(s):

Rou Shi ◽

Yingjian Chen ◽

Yuanjun Liao ◽

Rang Li ◽

Chunwen Lin ◽

...

Keyword(s):

Type 2 Diabetes ◽

Signaling Pathways ◽

Insulin Signaling ◽

Target Genes ◽

Mononuclear Cells ◽

Noncoding Rnas ◽

Vascular Complications ◽

Differentially Expressed ◽

Circular Rnas

Aims. Noncoding RNAs (ncRNAs) play an important role in the occurrence and development of type 2 diabetes mellitus (T2DM). This paper summarized the current evidences of the involvement microRNAs, long noncoding RNAs (lncRNAs), and circular RNAs (circRNAs) in the differential expressions and their interaction with each other in T2DM. Methods. The differentially expressed miRNAs, lncRNAs, and circRNAs in the blood circulation (plasma, serum, whole blood, and peripheral blood mononuclear cells) of patients with T2DM were found in PubMed, GCBI, and other databases. The interactions between ncRNAs were predicted based on the MiRWalk and the DIANA Tools databases. The indirect and direct target genes of lncRNAs and circRNAs were predicted based on the starBase V2.0, DIANA Tools, and LncRNA-Target databases. Then, GO and KEGG analysis on all miRNA, lncRNA, and circRNA target genes was performed using the mirPath and Cluster Profile software package in R language. The lncRNA–miRNA and circRNA–miRNA interaction diagram was constructed with Cytoscape. The aim of this investigation was to construct a mechanism diagram of lncRNA involved in the regulation of target genes on insulin signaling pathways and AGE–RAGE signaling pathways of diabetic complications. Results. A total of 317 RNAs, 283 miRNAs, and 20 lncRNAs and circRNAs were found in the circulation of T2DM. Dysregulated microRNAs and lncRNAs were found to be involved in signals related to metabolic disturbances, insulin signaling, and AGE–RAGE signaling in T2DM. In addition, lncRNAs participate in the regulation of key genes in the insulin signaling and AGE–RAGE signaling pathways through microRNAs, which leads to insulin resistance and diabetic vascular complications. Conclusion. Noncoding RNAs participate in the occurrence and development of type 2 diabetes and lead to its vascular complications by regulating different signaling pathways.

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Genome-Wide microRNA Profiling Using Oligonucleotide Microarray Reveals Regulatory Networks of microRNAs in Nicotiana benthamiana During Beet Necrotic Yellow Vein Virus Infection

Viruses ◽

10.3390/v12030310 ◽

2020 ◽

Vol 12 (3) ◽

pp. 310 ◽

Cited By ~ 3

Author(s):

Junying Liu ◽

Huiyan Fan ◽

Ying Wang ◽

Chenggui Han ◽

Xianbing Wang ◽

...

Keyword(s):

Nicotiana Benthamiana ◽

Regulatory Networks ◽

Target Genes ◽

Tobacco Rattle Virus ◽

Yellow Vein ◽

Differentially Expressed ◽

Virus Induced Gene Silencing ◽

Developmental Defects ◽

Differentially Expressed Mirnas ◽

Species Specific

Beet necrotic yellow vein virus (BNYVV) infections induce stunting and leaf curling, as well as root and floral developmental defects and leaf senescence in Nicotiana benthamiana. A microarray analysis with probes capable of detecting 1596 candidate microRNAs (miRNAs) was conducted to investigate differentially expressed miRNAs and their targets upon BNYVV infection of N. benthamiana plants. Eight species-specific miRNAs of N. benthamiana were identified. Comprehensive characterization of the N. benthamiana microRNA profile in response to the BNYVV infection revealed that 129 miRNAs were altered, including four species-specific miRNAs. The targets of the differentially expressed miRNAs were predicted accordingly. The expressions of miR164, 160, and 393 were up-regulated by BNYVV infection, and those of their target genes, NAC21/22, ARF17/18, and TIR, were down-regulated. GRF1, which is a target of miR396, was also down-regulated. Further genetic analysis of GRF1, by Tobacco rattle virus-induced gene silencing, assay confirmed the involvement of GRF1 in the symptom development during BNYVV infection. BNYVV infection also induced the up-regulation of miR168 and miR398. The miR398 was predicted to target umecyanin, and silencing of umecyanin could enhance plant resistance against viruses, suggesting the activation of primary defense response to BNYVV infection in N. benthamiana. These results provide a global profile of miRNA changes induced by BNYVV infection and enhance our understanding of the mechanisms underlying BNYVV pathogenesis.

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Construction of miRNA-target networks using microRNA profiles of CVB3-infected HeLa cells

Scientific Reports ◽

10.1038/s41598-019-54188-w ◽

2019 ◽

Vol 9 (1) ◽

Author(s):

Hai Lan Yao ◽

Mi Liu ◽

Wen Jun Wang ◽

Xin Ling Wang ◽

Juan Song ◽

...

Keyword(s):

Hela Cells ◽

Regulatory Networks ◽

Cellular Differentiation ◽

High Throughput Sequencing ◽

Target Genes ◽

Expression Profiles ◽

Differentially Expressed ◽

Mirna Regulation ◽

Cvb3 Infection ◽

Differentially Expressed Mirnas

AbstractMicroRNAs (miRNAs) play an important role in regulating gene expression in multiple biological processes and diseases. Thus, to understand changes in miRNA during CVB3 infection, specific miRNA expression profiles were investigated at 3 h, 6 h, and 9 h postinfection in HeLa cells by small-RNA high-throughput sequencing. Biological implications of 68 differentially expressed miRNAs were analyzed through GO and KEGG pathways. Interaction networks between 34 known highly differentially expressed miRNAs and targets were constructed by mirDIP and Navigator. The predicted targets showed that FAM135A, IKZF2, PLAG1, ZNF148, PHC3, LCOR and DYRK1A, which are associated with cellular differentiation and transcriptional regulation, were recognized by 8 miRNAs or 9 miRNAs through interactional regulatory networks. Seven target genes were confirmed by RT-qPCR. The results showed that the expression of DYRK1A, FAM135A, PLAG1, ZNF148, and PHC3 were obviously inhibited at 3 h, 6 h, and 9 h postinfection. The expression of LCOR did not show a significant change, and the expression of IKZF2 increased gradually with prolonged infection time. Our findings improve the understanding of the pathogenic mechanism of CVB3 infection on cellular differentiation and development through miRNA regulation, which has implications for interventional approaches to CVB3-infection therapy. Our results also provide a new method for screening target genes of microRNA regulation in virus-infected cells.

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