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Network analysis reveals important genes in human placenta
Author(s) -
Lin Peihong,
Lai Xuedan,
Wu Ling,
Liu Wei,
Lin Shiqiang,
Ye Jianwen
Publication year - 2021
Publication title -
journal of obstetrics and gynaecology research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 50
eISSN - 1447-0756
pISSN - 1341-8076
DOI - 10.1111/jog.14820
Subject(s) - placenta , gene , biology , andrology , genetics , medicine , bioinformatics , fetus , pregnancy
Aim To determine which genes are important in placenta by network analysis. Methods Placenta expressing genes were screened from RNA‐Seq data. Protein–protein interaction data were downloaded from STRING (v11.0) database. Google PageRank (PR) algorithm was used to identify important placental genes from protein interaction network. Six placental disease‐related datasets were downloaded from NCBI GEO database, and the differential expression of the 99 genes was identified. Results We calculated PR for each placenta expressing gene and defined the top 99 genes with high PR as important genes. GAPDH has the highest PR. The 99 genes had different expression pattern in placental cell types. FN1 is up‐regulated in 8 w EVT compared to 8 w CTB and 24 w EVT compared to 8 w EVT. HSPA4 is down‐regulated in 8 w EVT compared to 8 w CTB and 24 w EVT compared to 8 w EVT. MIB2 , TLR4 , and UBB are consistently changed in preeclampsia (PE). UBB and ACTG1 were identified to be down‐regulated in fetal growth restriction (FGR). SOD1 is down‐regulated in preterm birth placenta. Conclusion Our findings confirmed that the importance of these genes in placenta‐related diseases, and provide new candidates ( MIB2 , UBB , ACTG1 , and SOD1 ) for placenta‐related disease diagnosis and treatment.