开发了一种连续激光显微解剖组织切割工作流程,用于新鲜冷冻组织切片中药物的空间和定量分析。

IF 2.6 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
PLoS ONE Pub Date : 2024-12-23 eCollection Date: 2024-01-01 DOI:10.1371/journal.pone.0312542
Elias Maris, Farid Jahouh, Kathleen Allaerts, Rob Vreeken
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引用次数: 0

摘要

质谱成像(MSI)是一种成熟的技术,可以确定小分子的分布,如脂质、代谢物和药物,以及组织切片中的大分子。由于组织的异质性,导致基质效应的不同,并且在测量过程中被测量的化合物并没有完全从组织中“提取”出来,因此MSI的绝对定量方面是有限的。为了将化合物定量与新鲜冷冻未染色组织切片的空间信息相结合,采用激光(捕获)显微解剖分离组织切片进行化合物提取和LC-MS/MS定量。尽管与传统的MSI方法相比,这种依赖于人工roi选择的方法相当敏感,但它缺乏筛选整个组织切片所需的吞吐量。为了应用更高通量的组织筛选方法,我们在此提出了一个工作流程,用于执行不加区分和顺序的LMD组织切片切割,可以覆盖在徕卡LMD系统上的96孔板中收集的多达96个切片,用于进一步提取和LC-MS/MS分析。我们的工作流程依赖于在新鲜冷冻组织切片上使用5种不同的放大倍数(5倍、10倍、20倍、40倍和63倍),为不同面积大小(30x30 μm2、50x50 μm2、100x100 μm2、200x200 μm2、270x270 μm2和500x500 μm2)的LMD切割创建和实现96个正方形微网格模板。该方法应用于20μm小鼠脑和肝组织切片。通过对组织切片上喷洒标准物的检测,可以直观地评估组织切片的收集率,发现其范围在78%到91%之间,并且根据96方微网格模板和相应的放大透镜,测量了96孔格式的LMD切割和收集的通量为每个组织切片19到37分钟。进一步提取和LC-MS/MS分析之前喷洒在小鼠肝组织切片上的3种不同化合物,可以确定使用不同模板时工作流程允许实现的LLOQ。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Development of a sequential laser microdissection tissue cuts workflow for the spatial and quantitative analysis of drugs in fresh frozen tissue sections.

Development of a sequential laser microdissection tissue cuts workflow for the spatial and quantitative analysis of drugs in fresh frozen tissue sections.

Development of a sequential laser microdissection tissue cuts workflow for the spatial and quantitative analysis of drugs in fresh frozen tissue sections.

Development of a sequential laser microdissection tissue cuts workflow for the spatial and quantitative analysis of drugs in fresh frozen tissue sections.

Mass spectrometry imaging (MSI) is a well-established technique that allows to determine the distribution of small molecules, such as lipids, metabolites, and drugs, as well as large molecules in tissue sections. Because of the tissue heterogeneity, resulting in different matrix effects, and to the fact that the measured compounds are not entirely "extracted" from the tissue during the measurement, the absolute quantitative aspect of MSI is limited. To combine compound quantification with spatial information on fresh frozen unstained tissue sections, laser (capture) microdissection has been used to isolate tissue sections for compound extraction and LC-MS/MS quantification. Although this method relying on manual ROIs selection is rather sensitive compared to traditional MSI methods, it lacks the throughput needed to screen entire tissue sections. To apply a higher throughput tissue screening approach, we propose herein a workflow for performing indiscriminate and sequential LMD tissue section cuts that can cover up to 96 cuts collected in a 96 well plate on Leica LMD systems, for further extractions and LC-MS/MS analysis. Our workflow relies on the creation and implementation of 96 squares microgrid templates for the LMD cut of different area sizes (30x30 μm2, 50x50 μm2, 100x100 μm2, 200x200 μm2, 270x270 μm2 and 500x500 μm2) using 5 different magnifications (5x, 10x, 20x, 40x and 63x), on fresh frozen tissue sections. The method was applied on 20μm mouse brain and liver tissue sections. The tissue cut collection yields were evaluated visually and by the detection of the sprayed standards on the tissue sections, and found to be ranging from 78% to 91%, and the throughput of the LMD cuts and collection in a 96 well format, was measured to be from 19 to 37 minutes per tissue section, depending on the 96 squares microgrid template and the corresponding magnification lens used. Further extraction and LC-MS/MS analysis of 3 different compounds previously sprayed on a mouse liver tissue section allowed to determine the LLOQ the workflow allows to achieve when using the different templates.

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来源期刊
PLoS ONE
PLoS ONE 生物-生物学
CiteScore
6.20
自引率
5.40%
发文量
14242
审稿时长
3.7 months
期刊介绍: PLOS ONE is an international, peer-reviewed, open-access, online publication. PLOS ONE welcomes reports on primary research from any scientific discipline. It provides: * Open-access—freely accessible online, authors retain copyright * Fast publication times * Peer review by expert, practicing researchers * Post-publication tools to indicate quality and impact * Community-based dialogue on articles * Worldwide media coverage
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