Identification of early onset pre-eclampsia related key genes via bioinformatic analysis. (2022)
- Record Type:
- Journal Article
- Title:
- Identification of early onset pre-eclampsia related key genes via bioinformatic analysis. (2022)
- Main Title:
- Identification of early onset pre-eclampsia related key genes via bioinformatic analysis
- Authors:
- Huang, Zhengrui
Chen, Ruiping
Zhou, Yixuan
Wei, Yiling
Liu, Haixia
Zhang, Ping
Wang, Jingyun
Ding, Yuzhen
Yang, Xiaofeng
Sun, Lu
Shi, Meiting
Gao, Yudie
Li, Ruiman - Abstract:
- Abstract: Background: Pre-eclampsia is a common pregnancy-specific disease. In this study, we used comprehensive bioinformatics to screen key genes related to the development of pre-eclampsia and explore their potential connections. Methods: Two data sets GSE44711 and GSE30186 from the GEO database were used. The experimental group data set GSE44711 includes 16 samples (8 normal group samples and 8 early-onset PE group samples); the validation group data set GSE30186 includes 12 samples (6 Samples from the normal group and 6 samples from the PE group). Use the limma R package to analyze the difference between the two data sets, perform enrichment analysis, GO and KEGG analysis on the experimental group data set GSE44711, then obtain the hub gene by cytoscape, and verify the Hub gene in the validation data set GES30186. Results: 826 DEGs were identified from GSE44711, including 458 up-regulated genes and 368 down-regulated genes; The 6 Hub genes (CXCR6, CD3D, CD8A, CD69, and IL5) identified are considered to have high credibility. Conclusion: Through our analysis, the functional difference between early onset preeclampsia and normal pregnancy patients was explained, and the Hub genes CXCR6, CD3D, CD8A, CD69 and IL5 were determined. Highlights: Significant hub genes and hub modules were identified in PE. Five less researched Hub genes (CXCR6, CD3D, CD8A, CD69, IL5) are predicted to be potential crucial genes which may play vital roles in EOPE.
- Is Part Of:
- Informatics in medicine unlocked. Volume 31(2022)
- Journal:
- Informatics in medicine unlocked
- Issue:
- Volume 31(2022)
- Issue Display:
- Volume 31, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 31
- Issue:
- 2022
- Issue Sort Value:
- 2022-0031-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022
- Subjects:
- Pre-eclampsia -- Bioinformatics -- DEG -- GEO -- Hub genes
Pre-eclampsia PE -- Differentially expressed genes DEG -- GO Enrichment Analysis GO -- Kyoto Encyclopedia of Genes and Genomes KEGG -- Protein-Protein Interaction Networks PPI -- soluble fms-like tyrosine kinase 1 sFLT-1 -- CXCR6 C-X-C Motif Chemokine Receptor 6 -- CXCR16 C-X-C Motif Chemokine Receptor 16 -- CD3D CD3D Molecule -- CD8A CD8A Molecule -- CD69 CD69 Molecule -- IL5 Interleukin 5 -- HAND2 Heart And Neural Crest Derivatives Expressed 2 -- HEY2 Hes Related Family BHLH Transcription Factor With YRPW Motif 2 -- MYOCD Myocardin -- Gene Expression Omnibus database GEO database
Medical informatics -- Periodicals
610.285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/23529148/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.imu.2022.100914 ↗
- Languages:
- English
- ISSNs:
- 2352-9148
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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