亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Lead exposure induces neuronal apoptosis via NFκB p65/RBBP4/Survivin signaling pathway

细胞凋亡 生存素 生物 程序性细胞死亡 信使核糖核酸 标记法 细胞生物学 海马结构 分子生物学 内分泌学 生物化学 基因
作者
Hui Chen,Wei Zhang,Song Luo,Yanshu Li,Qian Zhu,Yongli Xia,Tan Hong,Ying Bian,Yaobing Li,Jianmin Ma,Wei Chen,Xietian Luo,Gaochun Zhu
出处
期刊:Toxicology [Elsevier]
卷期号:499: 153654-153654 被引量:6
标识
DOI:10.1016/j.tox.2023.153654
摘要

Lead (Pb), as a heavy metal that is easily exposed in daily life, can cause damage to various systems of body. Apoptosis is an autonomous cell death process regulated by genes in order to maintain the stability of internal environment, which plays an important role in the development of nervous system. RB binding protein 4 (RBBP4) is one of the core histone binding subunits and is closely related to the apoptosis process of nervous system cells. However, it is not known whether RBBP4 can regulate neuronal apoptosis in lead-exposed environments. We exposed PC12 cells to 0μM (control group), 1μM, and 100μM PbAc for 24hours to obtain cell samples. The female rats ingested drinking water containing 0, 0.5g/L, and 2.0g/L PbAc from the first day of pregnancy to three weeks after delivery to obtain hippocampal tissue samples from mammary rats. The results of TUNEL showed that lead exposure promoted the onset of apoptosis in cells and hippocampus. The mRNA and protein levels of the apoptosis-related protein Survivin were significantly reduced in the lead-exposed group compared to the control group. In addition, we found that lead exposure reduces the mRNA and protein levels of RBBP4 in PC12 cells and hippocampus, and increases the mRNA and protein levels of NFκB p65. Moreover, inhibiting NFκB p65 can reverse the decrease in RBBP4 expression in the lead exposure model. Overexpression of RBBP4 increased Survivin expression and reduced apoptosis induced by lead exposure. This suggests that lead exposure induces apoptosis through the NFκB p65/RBBP4/Survivin signaling pathway.
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
csz完成签到,获得积分20
45秒前
56秒前
csz发布了新的文献求助10
1分钟前
hhhhh完成签到,获得积分10
1分钟前
Lucas应助兴奋元冬采纳,获得10
1分钟前
mizore完成签到,获得积分20
2分钟前
2分钟前
hhhhh发布了新的文献求助20
2分钟前
2分钟前
efren1806完成签到,获得积分10
2分钟前
2分钟前
andrele发布了新的文献求助10
2分钟前
Mr.egg完成签到,获得积分10
2分钟前
情怀应助精灵夜雨采纳,获得10
3分钟前
无花果应助miooo采纳,获得10
3分钟前
3分钟前
miooo发布了新的文献求助10
4分钟前
momo完成签到,获得积分10
4分钟前
华仔应助科研通管家采纳,获得10
4分钟前
li完成签到 ,获得积分10
5分钟前
科研通AI5应助丹妮采纳,获得10
5分钟前
HMG1COA完成签到 ,获得积分10
5分钟前
5分钟前
5分钟前
费老三发布了新的文献求助10
5分钟前
丹妮发布了新的文献求助10
6分钟前
研友_VZG7GZ应助稳重的睿渊采纳,获得10
6分钟前
6分钟前
精灵夜雨发布了新的文献求助10
6分钟前
6分钟前
6分钟前
6分钟前
史前巨怪完成签到,获得积分10
6分钟前
nanali19完成签到,获得积分10
7分钟前
EthanLu发布了新的文献求助30
7分钟前
结实的涵柏完成签到 ,获得积分10
7分钟前
7分钟前
Georgechan完成签到,获得积分10
7分钟前
7分钟前
兴奋元冬发布了新的文献求助10
7分钟前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Structural Load Modelling and Combination for Performance and Safety Evaluation 800
Conference Record, IAS Annual Meeting 1977 610
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3555748
求助须知:如何正确求助?哪些是违规求助? 3131355
关于积分的说明 9390876
捐赠科研通 2831075
什么是DOI,文献DOI怎么找? 1556317
邀请新用户注册赠送积分活动 726502
科研通“疑难数据库(出版商)”最低求助积分说明 715803