Identification of Key mRNAs and lncRNAs in Neonatal Sepsis by Gene Expression Profiling
Joint Authors
Zhuo, Luo
Chen, Xiaobing
Wang, Yanli
Bu, Lin
Wang, Zi-wen
Hu, Shu-qun
Zhao, Wen-jing
Geng, Xiao-juan
Zhou, Ting
Sun, Yan
Li, Xiao-min
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-25
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Neonatal sepsis is one of the most prevalent causes of death of the neonates.
However, the mechanisms underlying neonatal sepsis remained unclear.
The present study identified a total of 1128 upregulated mRNAs and 1008 downregulated mRNAs, 28 upregulated lncRNAs, and 61 downregulated lncRNAs in neonatal sepsis.
Then, we constructed PPI networks to identify key regulators in neonatal sepsis, including ITGAM, ITGAX, TLR4, ITGB2, SRC, ELANE, RPLP0, RPS28, RPL26, and RPL27.
lncRNA coexpression analysis showed HS.294603, LOC391811, C12ORF47, LOC729021, HS.546375, HNRPA1L-2, LOC158345, and HS.495041 played important roles in the progression of neonatal sepsis.
Bioinformatics analysis showed DEGs were involved in the regulation cellular extravasation, acute inflammatory response, macrophage activation of NF-kappa B signaling pathway, TNF signaling pathway, HIF-1 signaling pathway, Toll-like receptor signaling pathway, and ribosome, RNA transport, and spliceosome.
lncRNAs were involved in regulating ribosome, T cell receptor signaling pathway, RNA degradation, insulin resistance, ribosome biogenesis in eukaryotes, and hematopoietic cell lineage.
We thought this study provided useful information for identifying novel therapeutic markers for neonatal sepsis.
American Psychological Association (APA)
Bu, Lin& Wang, Zi-wen& Hu, Shu-qun& Zhao, Wen-jing& Geng, Xiao-juan& Zhou, Ting…[et al.]. 2020. Identification of Key mRNAs and lncRNAs in Neonatal Sepsis by Gene Expression Profiling. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1139622
Modern Language Association (MLA)
Bu, Lin…[et al.]. Identification of Key mRNAs and lncRNAs in Neonatal Sepsis by Gene Expression Profiling. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1139622
American Medical Association (AMA)
Bu, Lin& Wang, Zi-wen& Hu, Shu-qun& Zhao, Wen-jing& Geng, Xiao-juan& Zhou, Ting…[et al.]. Identification of Key mRNAs and lncRNAs in Neonatal Sepsis by Gene Expression Profiling. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1139622
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139622