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

BMC Genomics ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Fengyao Wu ◽  
Fengying Lu ◽  
Xin Fan ◽  
Jin Chao ◽  
Chuanmin Liu ◽  
...  
Keyword(s):  
Mrna Regulation ◽  
Regulation Network

scholarly journals Identifying miRNA-mRNA regulation network of chronic pancreatitis based on the significant functional expression

Medicine ◽  
2017 ◽  
Vol 96 (21) ◽  
pp. e6668 ◽  
Author(s):  
Dan Wang ◽  
Lei Xin ◽  
Jin-Huan Lin ◽  
Zhuan Liao ◽  
Jun-Tao Ji ◽  
...  
Keyword(s):  
Chronic Pancreatitis ◽  
Functional Expression ◽  
Mrna Regulation ◽  
Regulation Network

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 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 Bioinformatics analysis of constructing a HCV-related hepatocellular carcinoma miRNA–mRNA regulation network

Medicine ◽  
2021 ◽  
Vol 100 (33) ◽  
pp. e26964
Author(s):  
Rui Hao ◽  
He Lu ◽  
Yanan Guo ◽  
Qianqian Liu ◽  
Lu Wang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Bioinformatics Analysis ◽  
Mrna Regulation ◽  
Regulation Network

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.

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