期刊论文详细信息
Journal of Inflammation | |
Ischemic stroke-related gene expression profiles across species: a meta-analysis | |
Brief Report | |
Ruslan Rust1  | |
[1]Institute for Regenerative Medicine (IREM), University of Zurich, Campus Schlieren Wagistrasse 12, 8952, Schlieren, Zurich, Switzerland | |
[2]Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland | |
关键词: Meta analysis; Ischemia; Hypoxia; Stroke; Preclinical research; Transcriptomics; Gene expression; Gene ontology; Animal models; | |
DOI : 10.1186/s12950-023-00346-x | |
received in 2023-03-22, accepted in 2023-05-24, 发布年份 2023 | |
来源: Springer | |
【 摘 要 】
Stroke patients are often left with permanent disabilities with no regenerative treatment options. Unbiased RNA sequencing studies decoding the transcriptional signature of stroked tissue hold promise to identify new potential targets and pathways directed to improve treatment for stroke patients. Here, gene expression profiles of stroked tissue across different time points, species, and stroke models were compared using NCBI GEO database. In total, 34 datasets from mice, rats, humans, and primates were included, exploring gene expression differences in healthy and stroked brain tissue. Distinct changes in gene expression and pathway enrichment revealed the heterogenicity of the stroke pathology in stroke-related pathways e.g., inflammatory responses, vascular repair, remodelling and cell proliferation and adhesion but also in diverse general, stroke-unrelated pathways that have to be carefully considered when evaluating new promising therapeutic targets.【 授权许可】
CC BY
© The Author(s) 2023
【 预 览 】
Files | Size | Format | View |
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RO202309072640583ZK.pdf | 1769KB | download | |
MediaObjects/12951_2023_1935_MOESM1_ESM.pdf | 14343KB | download | |
MediaObjects/13046_2023_2715_MOESM3_ESM.pdf | 1141KB | download | |
Fig. 3 | 1248KB | Image | download |
Fig. 7 | 165KB | Image | download |
【 图 表 】
Fig. 7
Fig. 3
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