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Comprehensive analysis of key lncRNAs in ischemic stroke

1 TCM Department, Shanghai Punan Hospital of Pudong New Area, Shanghai 200125, China
2 Department of Acupuncture and Moxibustion, Pudong New Area Hospital of TCM, Shanghai 201299, China
3 TCM Department, Heqing Community Health Service Center of Pudong New Area, Shanghai 201201, China
4 Neurosurgery Department, Shanghai Punan Hospital of Pudong New Area, Shanghai 200125, China
5 TCM Department, Shanghai Seventh People’s Hospital, Shanghai 200137, China

These authors contributed to this work equally.

Special Issues: Advanced Big Data Analysis for Precision Medicine

Ischemic stroke (IS) is a leading cause of mortality and disability worldwide. However, the treatments for ischemic stroke remained inadequate. The mechanisms underlying ischemic stroke are still not completely understood. the present study identified 19 lncRNAs related to stroke recovery by analyzing a public dataset GSE37587. A co-expression network included 24 lncRNAs, 1668 mRNAs and 3542 edges were constructed in the present study. Bioinformatics analysis showed these lncRNAs were involved in regulating multiple biological processes and pathways, such as mRNA nonsense-mediated decay, translation, cell-cell adhesion. Three lncRNAs, including DLEU1, LOC432369, and LOC338799, were identified as key lncRNAs in stroke. Bioinformatics showed DLEU1 was involved in regulating oxidative phosphorylation, and ubiquitin-mediated proteolysis. LOC432369 was associated with oxidative phosphorylation. LOC338799 was associated with clathrin-dependent endocytosis, the establishment of organelle localization and ribonucleoprotein complex assembly. We thought this study could provide useful information to understand the mechanisms underlying stroke progression.
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Keywords long non-coding RNA; ischemic stroke; co-expression analysis; biomarkers

Citation: Chunxiang Fan, Zouqin Huang, Binbin Chen, Baojin Chen, Qi Wang, Weidong Liu, Donghai Yu. Comprehensive analysis of key lncRNAs in ischemic stroke. Mathematical Biosciences and Engineering, 2020, 17(2): 1318-1328. doi: 10.3934/mbe.2020066


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