转录组
医学
基因表达
冲程(发动机)
免疫系统
全血
免疫学
基因
折叠变化
单核细胞
基因表达谱
炎症
生物信息学
生物
遗传学
机械工程
工程类
作者
Paulina Carmona-Mora,Bodie Knepp,Glen C. Jickling,Xinhua Zhan,Marisa Hakoupian,Heather Hull,Noor Alomar,Hajar Amini,Frank R. Sharp,Boryana Stamova,Bradley P. Ander
出处
期刊:BMC Medicine
[BioMed Central]
日期:2023-02-20
卷期号:21 (1)
被引量:21
标识
DOI:10.1186/s12916-023-02766-1
摘要
Abstract Background After ischemic stroke (IS), peripheral leukocytes infiltrate the damaged region and modulate the response to injury. Peripheral blood cells display distinctive gene expression signatures post-IS and these transcriptional programs reflect changes in immune responses to IS. Dissecting the temporal dynamics of gene expression after IS improves our understanding of immune and clotting responses at the molecular and cellular level that are involved in acute brain injury and may assist with time-targeted, cell-specific therapy. Methods The transcriptomic profiles from peripheral monocytes, neutrophils, and whole blood from 38 ischemic stroke patients and 18 controls were analyzed with RNA-seq as a function of time and etiology after stroke. Differential expression analyses were performed at 0–24 h, 24–48 h, and >48 h following stroke. Results Unique patterns of temporal gene expression and pathways were distinguished for monocytes, neutrophils, and whole blood with enrichment of interleukin signaling pathways for different time points and stroke etiologies. Compared to control subjects, gene expression was generally upregulated in neutrophils and generally downregulated in monocytes over all times for cardioembolic, large vessel, and small vessel strokes. Self-organizing maps identified gene clusters with similar trajectories of gene expression over time for different stroke causes and sample types. Weighted Gene Co-expression Network Analyses identified modules of co-expressed genes that significantly varied with time after stroke and included hub genes of immunoglobulin genes in whole blood. Conclusions Altogether, the identified genes and pathways are critical for understanding how the immune and clotting systems change over time after stroke. This study identifies potential time- and cell-specific biomarkers and treatment targets.
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