Identification of Key mRNAs and lncRNAs in Neonatal Sepsis by Gene Expression Profiling. (25th August 2020)
- Record Type:
- Journal Article
- Title:
- Identification of Key mRNAs and lncRNAs in Neonatal Sepsis by Gene Expression Profiling. (25th August 2020)
- Main Title:
- Identification of Key mRNAs and lncRNAs in Neonatal Sepsis by Gene Expression Profiling
- Authors:
- Bu, Lin
Wang, Zi-wen
Hu, Shu-qun
Zhao, Wen-jing
Geng, Xiao-juan
Zhou, Ting
Zhuo, Luo
Chen, Xiao-bing
Sun, Yan
Wang, Yan-li
Li, Xiao-min - Other Names:
- Huang Tao Guest Editor.
- Abstract:
- Abstract : 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.
- Is Part Of:
- Computational and mathematical methods in medicine. Volume 2020(2020)
- Journal:
- Computational and mathematical methods in medicine
- Issue:
- Volume 2020(2020)
- Issue Display:
- Volume 2020, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 2020
- Issue:
- 2020
- Issue Sort Value:
- 2020-2020-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-08-25
- Subjects:
- Medicine -- Computer simulation -- Periodicals
Medicine -- Mathematical models -- Periodicals
610.11 - Journal URLs:
- https://www.hindawi.com/journals/cmmm/ ↗
- DOI:
- 10.1155/2020/8741739 ↗
- Languages:
- English
- ISSNs:
- 1748-670X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3390.573000
British Library HMNTS - ELD Digital store - Ingest File:
- 14293.xml