用于多重荧光成像的琼脂糖包埋肺组织的自动振动切片机切片
October 6th, 2023
我们开发了一种组织处理技术，利用振动切片机和琼脂糖包埋的肺组织来生成肺切片，从而可以获取肺结构的高分辨率图像。我们采用免疫荧光染色来观察使用特定肺结构标志物的空间蛋白表达。
该协议在肺移植和再生的大型动物模型中特别有用，例如猪，我们可以随着时间的推移对小块进行采样。这种技术可以帮助我们更好地理解这些模型中起作用的空间生物学。该技术可产生适用于免疫荧光成像的最小加工肺切片，而无需抗原检索，并且迄今为止对所有测试的抗体都有效。
该程序可以用于切割稍厚的部分，例如约一毫米，然后可用于光片荧光显微镜，以研究更三维体积的空间蛋白质表达。我们的研究正在调查影响肺移植排斥反应的因素，并使用我们的猪模型开发减少排斥反应的疗法。该技术有助于了解影响术后移植结果的空间蛋白质变化。
我们目前正在使用这种技术来探索猪肺移植模型中的空间蛋白表达景观。我们希望它能帮助我们更好地了解实验疗法背后的机制。在这里成功的关键在于振动切片机的目击，高刀片振幅和较低的力速是切片是否进行不顺利的关键因素。
概述
本研究提出了一种利用振动切片机和琼脂嵌入肺组织生成高分辨率肺切片的新型组织处理技术。该方法允许进行免疫荧光染色以观察肺结构中的空间蛋白表达。
关键研究组成部分
科学领域
- 神经科学
- 生物学
- 肺移植
背景
- 理解肺模型中的空间生物学对于研究肺移植至关重要。
- 该技术生产适合成像的最少加工肺切片。
- 它对各种抗体有效，无需抗原检索。
- 适用于更厚的切片以进行先进的成像技术。
研究目的
- 调查影响肺移植排斥反应的因素。
- 开发旨在减少肺移植排斥反应的治疗方法。
- 探索猪肺移植模型中的空间蛋白表达。
使用的方法
- 将肺组织嵌入琼脂以便切片。
- 使用振动切片机创建指定厚度的肺切片。
- 免疫荧光染色以可视化蛋白表达。
- 人类样本中第二型肺泡细胞分布的比较分析。
主要结果
- 成功生成高分辨率肺切片。
- 确定影响移植结果的空间蛋白变化。
- 婴儿样本中第二型肺泡细胞数量和支架覆盖率比成年人高。
- 该技术在不同肺组织样本中的有效使用。
结论
- 振动切片机技术增强了对肺结构的理解。
- 它提供了与移植生物学相关的空间蛋白表达的洞察。
- 这种方法可能促进未来的肺移植和再生研究。
常见问题
Executive Industry Relevance
Automated vibratome sectioning of agarose-embedded lung tissue enables reproducible, minimally processed lung slices for multiplex fluorescence imaging across species. This workflow addresses the challenge of preserving native lung architecture and antigenicity, supporting high-content spatial protein analysis critical for translational lung research. The approach enhances predictive confidence in preclinical lung models and informs mechanistic studies of injury, regeneration, and transplant outcomes.
Strategic Applications in Biopharma R&D
Early Discovery & Target Validation
- Enables interrogation of spatial protein expression in native lung tissue for mechanistic de-risking.
- Supports functional target validation by preserving antigenicity without antigen retrieval.
- Facilitates comparative studies across mouse, pig, and human samples for cross-species target confidence.
Screening & Assay Development
- Provides standardized, reproducible lung slices suitable for multiplex immunofluorescence assays.
- Delivers quantitative spatial readouts for protein localization and abundance.
- Enables assay scalability and platform reuse for antibody validation and screening.
Translational & Preclinical Research
- Aligns with disease-relevant models, including lung transplantation and injury in large animals.
- Supports translational biomarker discovery by enabling high-resolution spatial mapping of protein changes.
- Facilitates risk-adjusted advancement of experimental therapies through mechanistic insight into tissue remodeling and rejection.
Pipeline & Workflow Integration
This method integrates from early discovery through preclinical validation, supporting workflows in lung injury, regeneration, and transplantation research.
- Discovery Biology: Advances hypothesis testing on spatial protein dynamics in intact lung architecture.
- Screening: Delivers reproducible, quantitative imaging outputs for antibody and biomarker evaluation.
- Analytics: Enables statistical comparison of protein distribution and cell-type abundance across conditions and developmental stages.
- Translational Research: Bridges preclinical findings in animal models to human tissue analysis for biomarker alignment.
- Enterprise Reuse: Establishes a reusable tissue-processing and imaging platform adaptable to multiple lung research programs.
Operational & Enterprise Impact
- Scientific Value: Increases predictive confidence and reduces mechanistic ambiguity in lung tissue studies.
- Operational Value: Standardizes tissue processing and imaging for reproducibility and scalability across projects.
- Strategic Value: Improves go/no-go decisions by enabling robust spatial protein analysis in translational models.
- Portfolio Impact: Supports risk-adjusted prioritization of lung-targeted therapies and biomarker programs.
Implementation Considerations
- Requires expertise in vibratome operation and immunofluorescence imaging.
- Needs access to vibratome instrumentation and multiplex fluorescence microscopy.
- Demands cross-team standardization of sectioning and staining protocols for reproducibility.
- Adaptable to various lung models but may require optimization for tissue thickness and antibody compatibility.
- Sectioning parameters and tissue handling must be carefully controlled to preserve native structure and antigenicity.
