Development of a Signal-integrating Reporter to Monitor Mitochondria-ER Contacts.

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2024-09-20 Epub Date: 2024-08-20 DOI:10.1021/acssynbio.4c00098
Zheng Yang, David C Chan
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引用次数: 0

Abstract

Mitochondria-endoplasmic reticulum contact sites (MERCS) serve as hotspots for important cellular processes, including calcium homeostasis, phospholipid homeostasis, mitochondria dynamics, and mitochondrial quality control. MERCS reporters based on complementation of green fluorescent proteins (GFP) fragments have been designed to visualize MERCS in real-time, but we find that they do not accurately respond to changes in MERCS content. Here, we utilize split LacZ complementing fragments to develop the first MERCS reporter system (termed SpLacZ-MERCS) that continuously integrates the MERCS information within a cell and generates a fluorescent output. Our system exhibits good organelle targeting, no artifactual tethering, and effective, dynamic tracking of the MERCS level in single cells. The SpLacZ-MERCS reporter was validated by drug treatments and genetic perturbations known to affect mitochondria-ER contacts. The signal-integrating nature of SpLacZ-MERCS may enable systematic identification of genes and drugs that regulate mitochondria-ER interactions. Our successful application of the split LacZ complementation strategy to study MERCS may be extended to study other forms of interorganellar crosstalk.

Abstract Image

开发一种信号整合报告器来监测线粒体-ER 接触。
线粒体-内质网接触点(MERCS)是重要细胞过程的热点,包括钙平衡、磷脂平衡、线粒体动力学和线粒体质量控制。基于绿色荧光蛋白(GFP)片段互补的 MERCS 报告器被设计用于实时可视化 MERCS,但我们发现它们不能准确反应 MERCS 含量的变化。在这里,我们利用分裂的 LacZ 互补片段开发了第一个 MERCS 报告系统(称为 SpLacZ-MERCS),它能持续整合细胞内的 MERCS 信息并产生荧光输出。我们的系统具有良好的细胞器靶向性、无伪拴系、可有效动态跟踪单细胞内的 MERCS 水平。SpLacZ-MERCS 报告器通过药物治疗和已知会影响线粒体-ER 接触的基因扰动进行了验证。SpLacZ-MERCS的信号整合性质可能有助于系统识别调控线粒体-ER相互作用的基因和药物。我们成功地应用分裂 LacZ 互补策略来研究 MERCS,该策略可扩展到研究其他形式的细胞器间串扰。
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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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