mtHyPer7（一种用于线粒体过氧化物的比例生物传感器）在活酵母细胞中的成像
2023年6月2日
过氧化氢 （H 2O2） 既是氧化损伤的来源，也是信号分子。该协议描述了如何使用线粒体靶向HyPer7（mtHyPer7），一种遗传编码的比率生物传感器，在活酵母中测量线粒体H 2 O2。它详细介绍了如何使用免费软件优化成像条件并执行定量细胞和亚细胞分析。
线粒体是细胞内的细胞器，可促进能量动员、中枢代谢、重要大分子的产生、钙储存和信号转导。因此，它们在细胞功能、健康和寿命控制中起着至关重要的作用。我们的研究重点是使用出芽酵母酿酒酵母作为模式生物来研究线粒体对衰老的影响。
活细胞成像是我们观察线粒体功能变化的最佳工具。在这里，我们描述了一种利用称为线粒体HyPer7的遗传编码比率度量光谱位移生物传感器的方法。mtHyPer7 可检测过氧化氢（一种活性氧），可破坏细胞成分，但也可作为活细胞线粒体中的信号分子发挥作用。
mtHyPer7 对过氧化氢具有高亲和力，对 pH 值的敏感性低。它被整合到酵母基因组中，从而在酵母细胞群中产生稳定和一致的表达。最后，它定量靶向线粒体，对细胞或线粒体功能或健康没有可检测的影响。
像mtHyPer7这样的生物传感器对于研究亚细胞分辨率的线粒体功能、寻找线粒体质量控制的机制以及研究该过程如何影响细胞适应性、进料和寿命至关重要。与用于活性氧检测的有机染料相比，mtHyPer7 染色剂提供了一致的工作效果。与基于 FRET 的传感器相比，mtHyPer7 更紧凑，避免了交叉激励和渗漏等问题，也避免了 FRET 的精确定位和方向要求。
概述
本研究探讨了芽殖酵母Saccharomyces cerevisiae中线粒体功能，重点关注过氧化氢（H2O2）作为损伤因子和信号分子的作用。研究人员使用基因编码的比值生物传感器mtHyPer7，描述了一种定量测量活细胞中线粒体H2O2的方法。
关键研究组成部分
研究领域
- 线粒体功能
- 氧化应激
- 酵母衰老
背景
- 线粒体对细胞能量生产和信号传递至关重要。
- H2O2可以引起氧化损伤，但也在信号传导途径中发挥作用。
- 线粒体健康与细胞寿命和健康相关。
使用的方法
- 使用mtHyPer7生物传感器进行活细胞成像
- 模型生物： Saccharomyces cerevisiae
- 荧光显微镜用于定量分析
主要结果
- 成功成像活酵母细胞中的线粒体H2O2水平。
- 建立了成像和成像分析的最佳条件。
- 证明mtHyPer7不影响细胞功能或健康。
结论
- 本研究展示了一种测量线粒体H2O2的可靠方法及其对细胞健康的影响。
- 它有助于理解线粒体质量控制及其对衰老的影响。
常见问题
Executive Industry Relevance
Quantitative imaging of mitochondrial hydrogen peroxide in live yeast cells enables precise interrogation of mitochondrial redox status, a key determinant in cellular health and disease modeling. The mtHyPer7 biosensor provides robust, reproducible readouts for oxidative stress, supporting early-stage target validation and mechanistic de-risking in discovery pipelines. This capability enhances predictive confidence for mitochondrial function studies relevant to aging, metabolic disorders, and cellular quality control.
Strategic Applications in Biopharma R&D
Early Discovery & Target Validation
- Enables direct measurement of mitochondrial H2O2 to clarify redox-driven mechanisms.
- Supports functional validation of mitochondrial quality control pathways.
- Facilitates mechanistic de-risking by distinguishing signaling from damaging oxidative events.
- Provides stable, genome-integrated biosensor expression for consistent biological interrogation.
Screening & Assay Development
- Delivers quantitative, ratiometric outputs suitable for assay standardization and reproducibility.
- Prepares validated yeast models for compound screening targeting mitochondrial redox modulation.
- Enables high-content imaging workflows with robust signal stability and minimal background interference.
- Supports scalable, platform-ready readouts for comparative compound evaluation.
Translational & Preclinical Research
- Aligns mitochondrial redox measurements with disease-relevant phenotypes in model systems.
- Enables continuity from discovery to preclinical validation of mitochondrial-targeted interventions.
- Provides quantitative endpoints for risk-adjusted advancement decisions in mitochondrial research portfolios.
- Facilitates biomarker development for oxidative stress and mitochondrial dysfunction.
Pipeline & Workflow Integration
The mtHyPer7 imaging workflow integrates from early discovery through assay development and preclinical research, supporting hypothesis-driven studies and translational continuity.
- Discovery Biology: Quantitative biosensor imaging enables hypothesis testing of mitochondrial redox mechanisms and pathway mapping.
- Screening: Ratiometric outputs and stable expression support reproducible, scalable assay development for compound screening.
- Analytics: Enables robust statistical comparison of mitochondrial H2O2 levels across conditions and cell populations.
- Translational Research: Provides disease-relevant, quantitative endpoints for preclinical model validation.
- Enterprise Reuse: Genome-integrated biosensor lines and open-source analysis scripts facilitate cross-project and cross-team adoption.
Operational & Enterprise Impact
- Scientific Value: Increases predictive confidence in mitochondrial target validation and mechanistic studies.
- Operational Value: Standardizes imaging and analysis workflows for reproducibility and scalability.
- Strategic Value: Improves go/no-go decision-making and reduces late-stage biological risk in mitochondrial research programs.
- Portfolio Impact: Enables risk-adjusted prioritization of mitochondrial targets and interventions.
Implementation Considerations
- Requires expertise in live-cell imaging and quantitative fluorescence analysis.
- Needs access to spinning-disk confocal microscopy and compatible analysis software (e.g., Fiji/ImageJ).
- Demands cross-team standardization of imaging parameters and analysis scripts for reproducibility.
- Adaptable to other biosensors and model systems with protocol optimization.
- Dependent on consistent genome integration and expression for reliable outputs.
