Atlas of temporal molecular pathological alterations after traumatic brain injury based on RNA-Seq

地图集(解剖学) 创伤性脑损伤 病态的 神经科学 RNA序列 医学 病理 心理学 生物 解剖 基因 精神科 转录组 遗传学 基因表达
作者
Yulian Zhang,Kun He,Chuanpeng Zhang,Hanhan Dang,Junru Hei,Yunsheng Zhang,Pengyu Chen,Ze Zhang,Yanbo Yang,Zixi Wang,Yang Xu,Li Zhang,Yanbing Yu
出处
期刊:Experimental Neurology [Elsevier BV]
卷期号:390: 115270-115270
标识
DOI:10.1016/j.expneurol.2025.115270
摘要

Traumatic brain injury (TBI) involves diverse molecular pathological alterations and biological processes in a temporally dynamic manner. However, current knowledge on the various processes during the acute phase of TBI is still rather limited. RNA-seq analysis was performed on brain tissues from C57/BL6 mice at 10 time points(0 h, 1 h, 2 h, 3 h, 4 h, 6 h, 12 h, 1d, 3d, and 7d) following TBI modeling. Subsequently, a bioinformatics approach, Weighted Gene Co-expression Network Analysis (WGCNA), was employed to identify characteristic modules, which were then validated using the Mfuzz method. Pathway enrichment analysis was conducted on WGCNA module genes, and hub genes were screened using the STRING database. After exploring the various potential pathways and expression patterns (neuroinflammation, cognition, gliosis and myelin regeneration etc.), we focus on pyroptosis, a inflammatory cell death influencing immune response, for in-depth analysis. RT-qPCR, Western blot(WB) and Immunofluorescence(IF) were used to validate the hub genes and key pyroptosis-related genes(Casp1, Casp11, GSDMD). Additionally, single-cell RNA sequencing data at 7 day post injury(dpi) was also used to validate the expression of the identified hub genes. Our approach to intensive transcriptomic analysis comprehensively reveals the temporal molecular pathological alterations during TBI progression. Pyroptosis may be a key mechanism in the neuroinflammatory process. Intervention strategies targeting specific molecular pathways may offer novel approach for the treatment of TBI.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
澜住我叭发布了新的文献求助10
2秒前
2秒前
2秒前
Orange应助bin采纳,获得10
2秒前
2秒前
Sam发布了新的文献求助10
2秒前
4秒前
molihuakai应助霸气的翠绿采纳,获得10
4秒前
斯文败类应助Katze采纳,获得10
5秒前
6秒前
一枚小医生怎么办完成签到,获得积分10
7秒前
7秒前
7秒前
在水一方应助安详凡采纳,获得10
7秒前
斯内克完成签到,获得积分10
8秒前
9秒前
Nole应助mufcyang采纳,获得10
9秒前
9秒前
搜集达人应助着急的道之采纳,获得10
9秒前
jiaxinghe完成签到 ,获得积分10
9秒前
嘻嘻发布了新的文献求助10
9秒前
现代风格发布了新的文献求助10
10秒前
科目三应助ineout采纳,获得10
10秒前
xue发布了新的文献求助10
11秒前
Sam完成签到,获得积分10
12秒前
shouren完成签到,获得积分10
13秒前
14秒前
wjh发布了新的文献求助10
14秒前
江子川发布了新的文献求助20
14秒前
金明完成签到,获得积分10
14秒前
15秒前
15秒前
科目三应助哈哈采纳,获得10
15秒前
研友_LwlNdn发布了新的文献求助10
16秒前
16秒前
17秒前
18秒前
shark应助自由的夜安采纳,获得80
18秒前
凶狠的映易完成签到 ,获得积分10
18秒前
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
A Study of the Model by which Principals’ Leadership Behaviour Influences Student Learning Outcomes in Elementary Schools 1000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7709830
求助须知:如何正确求助?哪些是违规求助? 9266709
关于积分的说明 20061833
捐赠科研通 7285994
什么是DOI,文献DOI怎么找? 3296782
关于科研通互助平台的介绍 2451366
邀请新用户注册赠送积分活动 2303768