Limits...
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

DEmiRNAs and their target node genes.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4536519&req=5

f7: DEmiRNAs and their target node genes.

Mentions: To further elucidate the interactive relationship between the node mRNAs and miRNAs, we searched for potential regulating miRNAs. The inversely correlated miRNAs were identified by comparing the miRNAs from target prediction with those from miRNA expression profiling, and miRNA/mRNA networks were constructed using the Cytoscape software. For further research, each miRNA/mRNA pair was scored to examine the target relationship and negative correlation of miRNA/mRNA networks (Fig. 7), and we found that miR-345-5p and miR-326 correlate with targets HNF4A, FOS and SMAD3, whereas miR-193a-3p, miR-664-3p and miR-122 correlate with target SMAD3. These results indicate that miRNA/mRNA networks indirectly reflect the expression patterns of node mRNAs and miRNAs and that understanding the structure of the miRNA/mRNA networks could provide more insight into labour onset.


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)

DEmiRNAs and their target node genes.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

f7: DEmiRNAs and their target node genes.
Mentions: To further elucidate the interactive relationship between the node mRNAs and miRNAs, we searched for potential regulating miRNAs. The inversely correlated miRNAs were identified by comparing the miRNAs from target prediction with those from miRNA expression profiling, and miRNA/mRNA networks were constructed using the Cytoscape software. For further research, each miRNA/mRNA pair was scored to examine the target relationship and negative correlation of miRNA/mRNA networks (Fig. 7), and we found that miR-345-5p and miR-326 correlate with targets HNF4A, FOS and SMAD3, whereas miR-193a-3p, miR-664-3p and miR-122 correlate with target SMAD3. These results indicate that miRNA/mRNA networks indirectly reflect the expression patterns of node mRNAs and miRNAs and that understanding the structure of the miRNA/mRNA networks could provide more insight into labour onset.

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