Comparative Proteomics Identified EXOSC1 as a Target Protein of Anticancer Peptide LVTX-8 in Nasopharyngeal Carcinoma Cells

鼻咽癌 蛋白质组学 癌症研究 化学 计算生物学 生物 生物化学 医学 内科学 放射治疗 基因
作者
Guiyu Zhu,Wei Wang,Xingyao Wang,Xiao-Ping Dong,Yang Shu,Jiaqi Wang,Siyuan Xu,Yong Zeng
出处
期刊:Journal of Proteome Research [American Chemical Society]
标识
DOI:10.1021/acs.jproteome.4c00031
摘要

Nasopharyngeal carcinoma (NPC) is a prevalent malignancy that usually occurs among the nose and throat. Due to mild initial symptoms, most patients are diagnosed in the late stage, and the recurrence rate of tumors is high, resulting in many deaths every year. Traditional radiotherapy and chemotherapy are prone to causing drug resistance and significant side effects. Therefore, searching for new bioactive drugs including anticancer peptides is necessary and urgent. LVTX-8 is a peptide toxin synthesized from the cDNA library of the spider Lycosa vittata, which is consisting of 25 amino acids. In this study, a series of in vitro cell experiments such as cell toxicity, colony formation, and cell migration assays were performed to exam the anticancer activity of LVTX-8 in NPC cells (5-8F and CNE-2). The results suggested that LVTX-8 significantly inhibited cell proliferation and migration of NPC cells. To find the potential molecular targets for the anticancer capability of LVTX-8, high-throughput proteomic and bioinformatics analysis were conducted on NPC cells. The results identified EXOSC1 as a potential target protein with significantly differential expression levels under LVTX-8+/LVTX-8– conditions. The results in this research indicate that spider peptide toxin LVTX-8 exhibits significant anticancer activity in NPC, and EXOSC1 may serve as a target protein for its anticancer activity. These findings provide a reference for the development of new therapeutic drugs for NPC and offer new ideas for the discovery of biomarkers related to NPC diagnosis. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (https://proteomecentral.proteomexchange.org) via the iProX partner repository with the data set identifier PXD050542.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
文艺代丝发布了新的文献求助10
3秒前
3秒前
顾矜应助captainHc采纳,获得30
4秒前
Rooster发布了新的文献求助10
5秒前
8秒前
高高的新烟完成签到 ,获得积分10
10秒前
rocky15应助harry采纳,获得10
11秒前
思源应助阿七采纳,获得10
11秒前
彭于晏应助科研小白采纳,获得10
11秒前
12秒前
12秒前
14秒前
15秒前
靓丽的如南完成签到,获得积分10
15秒前
暴躁的黎云完成签到,获得积分10
17秒前
吴晨曦发布了新的文献求助10
17秒前
cctv18应助yqyqyq采纳,获得30
18秒前
fryeia发布了新的文献求助10
19秒前
埮埮完成签到,获得积分10
19秒前
20秒前
riqiu发布了新的文献求助10
21秒前
22秒前
23秒前
CipherSage应助吴晨曦采纳,获得10
25秒前
飞过时间的猪完成签到,获得积分10
25秒前
HWB发布了新的文献求助10
26秒前
26秒前
嗨~~完成签到,获得积分10
27秒前
Hzeros发布了新的文献求助10
28秒前
斯文蓉完成签到,获得积分10
28秒前
Dr.FelixFan完成签到 ,获得积分10
28秒前
Murray应助科研通管家采纳,获得10
30秒前
30秒前
科研通AI2S应助科研通管家采纳,获得10
30秒前
酷波er应助科研通管家采纳,获得10
30秒前
30秒前
朴实的焦关注了科研通微信公众号
30秒前
某某某应助科研通管家采纳,获得10
30秒前
30秒前
星辰大海应助科研通管家采纳,获得10
30秒前
高分求助中
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 1000
Corrosion and Oxygen Control 600
Python Programming for Linguistics and Digital Humanities: Applications for Text-Focused Fields 500
Heterocyclic Stilbene and Bibenzyl Derivatives in Liverworts: Distribution, Structures, Total Synthesis and Biological Activity 500
重庆市新能源汽车产业大数据招商指南(两链两图两池两库两平台两清单两报告) 400
Division and square root. Digit-recurrence algorithms and implementations 400
行動データの計算論モデリング 強化学習モデルを例として 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2547837
求助须知:如何正确求助?哪些是违规求助? 2176358
关于积分的说明 5604129
捐赠科研通 1897190
什么是DOI,文献DOI怎么找? 946694
版权声明 565412
科研通“疑难数据库(出版商)”最低求助积分说明 503899