贺高红

个人信息Personal Information

教授

博士生导师

硕士生导师

任职 : 精细化工全国重点实验室主任,教育部智能材料化工前沿科学中心执行主任,大连理工大学膜科学与技术研究开发中心主任

性别:女

毕业院校:中国科学院大连化物所

学位:博士

所在单位:化工学院

学科:化学工程. 膜科学与技术. 生物医学工程

联系方式:hgaohong@dlut.edu.cn

电子邮箱:hgaohong@dlut.edu.cn

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Direct detection of SERCA calcium transport and small-molecule inhibition in giant unilamellar vesicles

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论文类型:期刊论文

发表时间:2016-12-09

发表刊物:BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS

收录刊物:SCIE、PubMed、Scopus

卷号:481

期号:3-4

页面范围:206-211

ISSN号:0006-291X

关键字:Biomimetic membrane; Calcium regulation; Drug discovery; Electrostatic fusion; Lipid reconstitution; Transport proteins

摘要:We have developed a charge-mediated fusion method to reconstitute the sarco/endoplasmic reticulum Ca2+-ATPase (SERCA) in giant unilamellar vesicles (GUV). Intracellular Ca2+ transport by SERCA controls key processes in human cells such as proliferation, signaling, and contraction. Small-molecule effectors of SERCA are urgently needed as therapeutics for Ca2+ dysregulation in human diseases including cancer, diabetes, and heart failure. Here we report the development of a method for efficiently reconstituting SERCA in GUV, and we describe a streamlined protocol based on optimized parameters (e.g., lipid components, SERCA preparation, and activity assay requirements). ATP-dependent Ca2+ transport by SERCA in single GUV was detected directly using confocal fluorescence microscopy with the Ca2+ indicator Fluo-5F. The GUV reconstitution system was validated for functional screening of Ca2+ transport using thapsigargin (TG), a small-molecule inhibitor of SERCA currently in clinical trials as a prostate cancer prodrug. The GUV system overcomes the problem of inhibitory Ca2+ accumulation for SERCA in native and reconstituted small unilamellar vesicles (SUV). We propose that charge-mediated fusion provides a widely-applicable method for GUV reconstitution of clinically-important membrane transport proteins. We conclude that GUV reconstitution is a technological advancement for evaluating small molecule effectors of SERCA. (C) 2016 Elsevier Inc. All rights reserved.