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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

Functional interaction network of DEGs (IFs) in LL compared to those in LN.The effect of the interaction is represented by arrows, bar-headed lines, straight line and imaginary line. “→” for activating/catalysing, “-/” for inhibition, “-” for FIs that were extracted from complexes or inputs, and “---” for predicted FIs.
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f6: Functional interaction network of DEGs (IFs) in LL compared to those in LN.The effect of the interaction is represented by arrows, bar-headed lines, straight line and imaginary line. “→” for activating/catalysing, “-/” for inhibition, “-” for FIs that were extracted from complexes or inputs, and “---” for predicted FIs.

Mentions: The Reactome plug-in in the Cytoscape software was used to visualise the functional interaction (FI) network of DEGs and to further identify major functional genes. The FI network of DEGs is shown in Fig. 6. A number of differentially expressed genes, such as FOS, SMAD3, HSPA8, CXCR4, EGR1, HNPF4, CTNNA2, APOE and PARK2, were found to be key node genes. Then, the network was constructed using the enriched genes that are involved in hormone stimulus and the immune response (Supplementary Fig. S1-2), with FOS, SMAD3, HNF4A, HSPA8 and CXCR4 as the central node genes. The regulatory direction of these node genes was also checked in QS and QL, where FOS and HNF4A were altered in the same direction in QL, LL and QS and SMAD3 was altered in the same direction in LL and QS. SMAD3 proteins are signal transducers and transcriptional modulators that mediate multiple signalling pathways. The HSPA8 gene encodes a member of the heat shock protein 70 family, which can activate the MAPK signalling pathway. FOS proteins have been implicated as regulators of cell proliferation, differentiation, and transformation. The relative quantitative expression of the FOS gene was tested by qPCR and showed a significant difference between LN and LL in the chorion and decidua tissue (Fig. 5B). The relatively high expression in LL was also confirmed by immunohistochemistry (Fig. 5D).


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)

Functional interaction network of DEGs (IFs) in LL compared to those in LN.The effect of the interaction is represented by arrows, bar-headed lines, straight line and imaginary line. “→” for activating/catalysing, “-/” for inhibition, “-” for FIs that were extracted from complexes or inputs, and “---” for predicted FIs.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

f6: Functional interaction network of DEGs (IFs) in LL compared to those in LN.The effect of the interaction is represented by arrows, bar-headed lines, straight line and imaginary line. “→” for activating/catalysing, “-/” for inhibition, “-” for FIs that were extracted from complexes or inputs, and “---” for predicted FIs.
Mentions: The Reactome plug-in in the Cytoscape software was used to visualise the functional interaction (FI) network of DEGs and to further identify major functional genes. The FI network of DEGs is shown in Fig. 6. A number of differentially expressed genes, such as FOS, SMAD3, HSPA8, CXCR4, EGR1, HNPF4, CTNNA2, APOE and PARK2, were found to be key node genes. Then, the network was constructed using the enriched genes that are involved in hormone stimulus and the immune response (Supplementary Fig. S1-2), with FOS, SMAD3, HNF4A, HSPA8 and CXCR4 as the central node genes. The regulatory direction of these node genes was also checked in QS and QL, where FOS and HNF4A were altered in the same direction in QL, LL and QS and SMAD3 was altered in the same direction in LL and QS. SMAD3 proteins are signal transducers and transcriptional modulators that mediate multiple signalling pathways. The HSPA8 gene encodes a member of the heat shock protein 70 family, which can activate the MAPK signalling pathway. FOS proteins have been implicated as regulators of cell proliferation, differentiation, and transformation. The relative quantitative expression of the FOS gene was tested by qPCR and showed a significant difference between LN and LL in the chorion and decidua tissue (Fig. 5B). The relatively high expression in LL was also confirmed by immunohistochemistry (Fig. 5D).

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