A simple hand-sectioning approach for cellular-resolution imaging of anatomy and gene expression in small developing organs and boundary regions in Arabidopsis.

IF 5.2 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Jae-Ung Hwang, Seonghwan Kim, Heejeong Son, June M Kwak
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引用次数: 0

Abstract

Background: Precise characterization of gene expression patterns across temporal, cellular, and tissue-specific contexts is fundamental to understanding plant development and function. Recent advances in ClearSee-based tissue clearing have enabled high-resolution visualization of internal structures and fluorescent reporter signals in plant tissues. Although hand sectioning can provide optical access to tissues that are not amenable to whole-mount clearing, its application to submillimeter-scale and fragile Arabidopsis organs and tissues, including developing inflorescence apices, flowers, fruits, and organ boundaries, has remained limited. Consequently, analysis of these tissues has largely depended on specialized microdissection techniques and labor-intensive histological workflows, such as wax- or resin-embedded microtomy, which restrict throughput, accessibility, and routine use.

Results: We developed and optimized a simple hand-sectioning and imaging method that enables routine visualization of anatomical organization and gene expression patterns at cellular resolution in small, fragile Arabidopsis tissues. This method relies only on gentle manual tissue processing under a stereomicroscope and readily available reagents, allowing reproducible preparation of delicate tissues without the need for embedding or specialized equipment. Combined with ClearSee-based clearing and fluorescent reporters, the approach enables high-resolution imaging of internal tissue architecture and gene expression, while preserving tissue integrity and fluorescence signals that are often compromised during conventional embedding and microtomy procedures.

Conclusions: Our method substantially reduces technical complexity, costs, preparation time, and labor associated with cellular-resolution imaging of small, fragile plant tissues. By providing a simple, scalable, and accessible alternative to conventional histological workflows, this approach facilitates routine analysis of internal developmental processes across diverse plant species.

拟南芥小发育器官和边界区域的解剖和基因表达的细胞分辨率成像的简单手工切片方法。
背景:准确表征跨时间、细胞和组织特异性背景的基因表达模式是理解植物发育和功能的基础。基于clearsee的组织清除技术的最新进展使植物组织内部结构和荧光报告信号的高分辨率可视化成为可能。虽然手工切片可以提供不适合整株清除的组织的光学通道,但它在亚毫米尺度和脆弱的拟南芥器官和组织中的应用,包括发育中的花序尖端、花、果实和器官边界,仍然有限。因此,这些组织的分析在很大程度上依赖于专门的显微解剖技术和劳动密集型的组织学工作流程,如蜡或树脂包埋显微切割机,这限制了吞吐量、可及性和常规使用。结果:我们开发并优化了一种简单的手工切片和成像方法,可以在细胞分辨率下对小而脆弱的拟南芥组织的解剖组织和基因表达模式进行常规可视化。该方法仅依赖于在体视显微镜和现成的试剂下进行温和的人工组织处理,无需包埋或专用设备即可重复制备精致组织。结合基于clearsee的清除和荧光报告,该方法可以实现内部组织结构和基因表达的高分辨率成像,同时保持组织完整性和荧光信号,这在传统的包埋和显微切开术过程中经常受到损害。结论:我们的方法大大降低了技术复杂性、成本、制备时间和与细胞分辨率成像相关的劳动力,这些成像与小而脆弱的植物组织有关。通过提供一个简单的、可扩展的、可访问的替代传统组织学工作流程,该方法促进了对不同植物物种内部发育过程的常规分析。
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来源期刊
Plant Methods
Plant Methods 生物-植物科学
CiteScore
9.20
自引率
3.90%
发文量
121
审稿时长
2 months
期刊介绍: Plant Methods is an open access, peer-reviewed, online journal for the plant research community that encompasses all aspects of technological innovation in the plant sciences. There is no doubt that we have entered an exciting new era in plant biology. The completion of the Arabidopsis genome sequence, and the rapid progress being made in other plant genomics projects are providing unparalleled opportunities for progress in all areas of plant science. Nevertheless, enormous challenges lie ahead if we are to understand the function of every gene in the genome, and how the individual parts work together to make the whole organism. Achieving these goals will require an unprecedented collaborative effort, combining high-throughput, system-wide technologies with more focused approaches that integrate traditional disciplines such as cell biology, biochemistry and molecular genetics. Technological innovation is probably the most important catalyst for progress in any scientific discipline. Plant Methods’ goal is to stimulate the development and adoption of new and improved techniques and research tools and, where appropriate, to promote consistency of methodologies for better integration of data from different laboratories.
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