Development of High Sensitive and Quantitative FRET Based Biosensor to Detect Atg4A Kinetics in Autophagy Cell Death Pathway

C. Hariharan, F. Z. Kadayifci, Fan-chao Zhang, Lei Xu, Jun Li, Shasha Shasha, Jiayu Liao
{"title":"Development of High Sensitive and Quantitative FRET Based Biosensor to Detect Atg4A Kinetics in Autophagy Cell Death Pathway","authors":"C. Hariharan, F. Z. Kadayifci, Fan-chao Zhang, Lei Xu, Jun Li, Shasha Shasha, Jiayu Liao","doi":"10.11159/jbeb.2021.001","DOIUrl":null,"url":null,"abstract":"Cell death is a major process in a biological cell that occurs during development, homeostasis and immune regulation in multicellular organisms. Dysregulation of cell death pathway has been implicated in many diseases. Principal cell death pathways include apoptosis, autophagy, necrosis, mitotic catastrophe, etc. Knowledge of cell death pathways and the reason the cell chooses to die are key factors to understand the disease, the way it affects the cellular system and subsequent drug discovery. This study is focused on developing genetically encoded Förster Resonance Energy Transfer (FRET) based biosensors to identify autophagy pathways in vitro. FRET is an energy transfer phenomenon that occurs between two spectrum-overlapping fluorophores that are within 10nm of each other. The design of the sensor is based on enzyme-substrate dynamics and consists of a reporter gene fused between fluorescent proteins. Additionally, FRET-based protease assay has been used to determine the kinetics of Atg4A, an enzyme involved in autophagy. The kinetic parameters Km, kcat, kcat /Km were derived using real-time detection methods. A further aim of this research is to transfect the sensor in H460 lung cancer cell line to identify the type of death that the cell chooses on treatment with drugs.","PeriodicalId":92699,"journal":{"name":"Open access journal of biomedical engineering and biosciences","volume":"27 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open access journal of biomedical engineering and biosciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11159/jbeb.2021.001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Cell death is a major process in a biological cell that occurs during development, homeostasis and immune regulation in multicellular organisms. Dysregulation of cell death pathway has been implicated in many diseases. Principal cell death pathways include apoptosis, autophagy, necrosis, mitotic catastrophe, etc. Knowledge of cell death pathways and the reason the cell chooses to die are key factors to understand the disease, the way it affects the cellular system and subsequent drug discovery. This study is focused on developing genetically encoded Förster Resonance Energy Transfer (FRET) based biosensors to identify autophagy pathways in vitro. FRET is an energy transfer phenomenon that occurs between two spectrum-overlapping fluorophores that are within 10nm of each other. The design of the sensor is based on enzyme-substrate dynamics and consists of a reporter gene fused between fluorescent proteins. Additionally, FRET-based protease assay has been used to determine the kinetics of Atg4A, an enzyme involved in autophagy. The kinetic parameters Km, kcat, kcat /Km were derived using real-time detection methods. A further aim of this research is to transfect the sensor in H460 lung cancer cell line to identify the type of death that the cell chooses on treatment with drugs.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于FRET的高灵敏度和定量生物传感器在自噬细胞死亡途径中检测Atg4A动力学
细胞死亡是多细胞生物在发育、体内平衡和免疫调节过程中发生的一个重要过程。细胞死亡通路的失调与许多疾病有关。细胞死亡的主要途径有凋亡、自噬、坏死、有丝分裂突变等。细胞死亡途径的知识和细胞选择死亡的原因是了解疾病的关键因素,它影响细胞系统的方式和随后的药物发现。本研究的重点是开发基于基因编码Förster共振能量转移(FRET)的生物传感器,以识别体外自噬途径。FRET是一种能量转移现象,发生在两个光谱重叠的荧光团之间,彼此在10nm以内。该传感器的设计基于酶-底物动力学,由荧光蛋白融合的报告基因组成。此外,基于fret的蛋白酶测定已被用于确定Atg4A的动力学,Atg4A是一种参与自噬的酶。采用实时检测方法,得到了动力学参数Km、kcat、kcat /Km。本研究的进一步目的是在H460肺癌细胞系中转染传感器,以确定细胞在药物治疗中选择的死亡类型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Simulation Study of Urine Transport Through the Ureter Reliable Multimodal Heartbeat Classification using Deep Neural Networks Affordability Assessment on Generic and Brand-name Anti-depressants Methods, Validation and Clinical Implementation of a Simulation Method of Cerebral Aneurysms Realistic 3D CT-FEM for Target-based Multiple Organ Inclusive Studies
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1