Proteomics profiling of kidney brush border membrane from rats using LC‐MS/MS analysis

蛋白尿 肾功能 蛋白尿 蛋白质组学 画笔边框 肾脏疾病 内科学 内分泌学 近曲小管 肌酐 Wnt信号通路 生物 医学 化学 泌尿科 病理 细胞生物学 信号转导 生物化学 小泡 基因
作者
Aiying Yu,Jingfu Zhao,Wenjing Peng,Shiv Pratap Singh Yadav,Bruce A. Molitoris,Mark C. Wagner,Yehia Mechref
出处
期刊:Proteomics Clinical Applications [Wiley]
卷期号:17 (2) 被引量:1
标识
DOI:10.1002/prca.202200063
摘要

Chronic kidney disease (CKD) is defined by a reduced renal function, that is, glomerular filtration rate, and the extent of kidney damage is assessed by determining serum creatinine levels and proteins in urine, diagnosed as proteinuria/albuminuria. Albuminuria increases with age and can result from glomerular and/or proximal tubule (PT) alterations. Brush border membranes (BBMs) on PT cells are important in maintaining the stability of PT functions.An LC-MS/MS bottom-up proteomics analysis of BBMs from four groups of rat models was applied to investigate protein abundance alterations associated with CKD progression. Moreover, systems biology analyses were used to identify key proteins that can provide insight into the different regulated molecular pathways and processes associated with CKD.Our results indicated that 303 proteins showed significantly altered expressions from the severe CKD BBM group when compared to the control. Focusing on renal diseases, several proteins including Ctnnb1, Fah, and Icam1 were annotated to kidney damage and urination disorder. The up-regulation of Ctnnb1 (β-catenin) could contribute to CKD through the regulation of the WNT signaling pathway.Overall, the study of protein abundance changes in BBMs from rat models helps to reveal protein corrections with important pathways and regulator effects involved in CKD. Although this study is focused on rat models, the results provided more information for a deeper insight into possible CKD mechanisms in humans.

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
细心雪冥发布了新的文献求助10
1秒前
1秒前
Nuyoah发布了新的文献求助10
1秒前
2秒前
susan完成签到,获得积分10
2秒前
万能图书馆应助黄智清采纳,获得10
3秒前
镜流发布了新的文献求助10
3秒前
4秒前
GOAT完成签到,获得积分10
4秒前
蝈蝈完成签到,获得积分10
4秒前
大个应助专一的学姐采纳,获得10
4秒前
Hello应助勤恳小甜瓜采纳,获得10
5秒前
gaochanglu发布了新的文献求助10
6秒前
peace完成签到,获得积分10
7秒前
科研通AI6.2应助好运采纳,获得20
7秒前
Owen应助DrJzz采纳,获得10
8秒前
韦一手发布了新的文献求助10
8秒前
米斯特江江江江完成签到,获得积分10
8秒前
8秒前
9秒前
ceci完成签到,获得积分10
9秒前
我没有名字完成签到,获得积分10
9秒前
scc发布了新的文献求助10
9秒前
Jane完成签到,获得积分10
9秒前
墨汐完成签到,获得积分10
10秒前
10秒前
12秒前
12秒前
RRR完成签到,获得积分20
13秒前
做的出来完成签到,获得积分10
14秒前
Jane发布了新的文献求助10
14秒前
14秒前
HX完成签到,获得积分10
14秒前
15秒前
稳重的如容完成签到,获得积分10
15秒前
黄智清发布了新的文献求助10
16秒前
安静的迎荷完成签到,获得积分10
16秒前
不知道取啥名好完成签到,获得积分10
16秒前
16秒前
17秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 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 7254114
求助须知:如何正确求助?哪些是违规求助? 8876081
关于积分的说明 18740900
捐赠科研通 6934737
什么是DOI,文献DOI怎么找? 3200042
关于科研通互助平台的介绍 2374745
邀请新用户注册赠送积分活动 2174843