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Integrated analysis of miRNA/mRNA network in placenta identifies key factors associated with labor onset of Large White and Qingping sows.

Li H, Wu B, Geng J, Zhou J, Zheng R, Chai J, Li F, Peng J, Jiang S - Sci Rep (2015)

Bottom Line: A set of differentially expressed genes, including 2164 mRNAs and 39 miRNAs, were found.Cytoscape Network analysis of the functional genes found node mRNAs and that the regulatory network between the node mRNAs and miRNAs was established.A comparison of the sequencing data from the shorter gestation period (QS) and the normal gestation period (QL) indicated that these genes were responsible for the quicker and more sensitive reaction to the regulation of labour onset.

View Article: PubMed Central - PubMed

Affiliation: Key Laboratory of Swine Genetics and Breeding of Agricultural Ministry and Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, People's Republic of China.

ABSTRACT
Labour onset is a very complex physiological process, and its mechanism is poorly understood. Here, we obtained the mRNA and miRNA expression profiles from the placentas of four groups of sows: Qingping sows 112 days after insemination with signs of labour onset (QS), Qingping sows 114 days after insemination with signs of labour onset (QL), Large White sows 114 days after insemination with signs of labour onset (LL) and Large White sows 112 days after insemination without signs of labour onset (LN). A set of differentially expressed genes, including 2164 mRNAs and 39 miRNAs, were found. A DAVID analysis of these differentially expressed genes revealed their critical roles in response to hormone stimulus, immune response. Cytoscape Network analysis of the functional genes found node mRNAs and that the regulatory network between the node mRNAs and miRNAs was established. A comparison of the sequencing data from the shorter gestation period (QS) and the normal gestation period (QL) indicated that these genes were responsible for the quicker and more sensitive reaction to the regulation of labour onset. This research not only detected the key factors that were involved in labour onset but also provided useful information for the research of gynaecological diseases.

No MeSH data available.


Related in: MedlinePlus

The mRNA and miRNA expression patterns of a unified set of differentially expressed genes and miRNAs.(A) Hierarchical clustering of a unified set of differentially expressed genes. (B) Hierarchical clustering of a unified set of differentially expressed miRNAs.
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f3: The mRNA and miRNA expression patterns of a unified set of differentially expressed genes and miRNAs.(A) Hierarchical clustering of a unified set of differentially expressed genes. (B) Hierarchical clustering of a unified set of differentially expressed miRNAs.

Mentions: The hierarchical clustering results revealed that the subgroups could be well differentiated from our unified set of differentially expressed mRNAs, except for QS1 (Fig. 3A), which suggests significant differences among subgroups and the good generality of our diff-genes, though they were identified from relatively small datasets. miRNA diff-genes performed less accurately than did mRNA diff-genes (Fig. 3B). Because the miRNA and mRNA data shared the same sample set, this difference was likely due to the complexity of the conversion from miRNA expression to the phenotypic differences among different pig subgroups, which is mediated and influenced by many factors, such as posttranscriptional regulation and generally a large number of varieties of miRNA gene targets. Additionally, the difference could also be attributed to the effects of the small sample size.


Integrated analysis of miRNA/mRNA network in placenta identifies key factors associated with labor onset of Large White and Qingping sows.

Li H, Wu B, Geng J, Zhou J, Zheng R, Chai J, Li F, Peng J, Jiang S - Sci Rep (2015)

The mRNA and miRNA expression patterns of a unified set of differentially expressed genes and miRNAs.(A) Hierarchical clustering of a unified set of differentially expressed genes. (B) Hierarchical clustering of a unified set of differentially expressed miRNAs.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4536519&req=5

f3: The mRNA and miRNA expression patterns of a unified set of differentially expressed genes and miRNAs.(A) Hierarchical clustering of a unified set of differentially expressed genes. (B) Hierarchical clustering of a unified set of differentially expressed miRNAs.
Mentions: The hierarchical clustering results revealed that the subgroups could be well differentiated from our unified set of differentially expressed mRNAs, except for QS1 (Fig. 3A), which suggests significant differences among subgroups and the good generality of our diff-genes, though they were identified from relatively small datasets. miRNA diff-genes performed less accurately than did mRNA diff-genes (Fig. 3B). Because the miRNA and mRNA data shared the same sample set, this difference was likely due to the complexity of the conversion from miRNA expression to the phenotypic differences among different pig subgroups, which is mediated and influenced by many factors, such as posttranscriptional regulation and generally a large number of varieties of miRNA gene targets. Additionally, the difference could also be attributed to the effects of the small sample size.

Bottom Line: A set of differentially expressed genes, including 2164 mRNAs and 39 miRNAs, were found.Cytoscape Network analysis of the functional genes found node mRNAs and that the regulatory network between the node mRNAs and miRNAs was established.A comparison of the sequencing data from the shorter gestation period (QS) and the normal gestation period (QL) indicated that these genes were responsible for the quicker and more sensitive reaction to the regulation of labour onset.

View Article: PubMed Central - PubMed

Affiliation: Key Laboratory of Swine Genetics and Breeding of Agricultural Ministry and Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, People's Republic of China.

ABSTRACT
Labour onset is a very complex physiological process, and its mechanism is poorly understood. Here, we obtained the mRNA and miRNA expression profiles from the placentas of four groups of sows: Qingping sows 112 days after insemination with signs of labour onset (QS), Qingping sows 114 days after insemination with signs of labour onset (QL), Large White sows 114 days after insemination with signs of labour onset (LL) and Large White sows 112 days after insemination without signs of labour onset (LN). A set of differentially expressed genes, including 2164 mRNAs and 39 miRNAs, were found. A DAVID analysis of these differentially expressed genes revealed their critical roles in response to hormone stimulus, immune response. Cytoscape Network analysis of the functional genes found node mRNAs and that the regulatory network between the node mRNAs and miRNAs was established. A comparison of the sequencing data from the shorter gestation period (QS) and the normal gestation period (QL) indicated that these genes were responsible for the quicker and more sensitive reaction to the regulation of labour onset. This research not only detected the key factors that were involved in labour onset but also provided useful information for the research of gynaecological diseases.

No MeSH data available.


Related in: MedlinePlus