Protocol for multimodal analysis of human kidney tissue by imaging mass spectrometry and CODEX multiplexed immunofluorescence.
Protocol for multimodal analysis of human kidney tissue by imaging mass spectrometry and CODEX multiplexed immunofluorescence.
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通过成像质谱和多重免疫荧光成像对人肾组织进行多模式分析的方案。
DOI：
10.1016/j.xpro.2021.100747
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发表时间：
2021-09-17
期刊：
影响因子：
--
通讯作者：
Spraggins JM
中科院分区：
文献类型：
--
作者：
Neumann EK;Patterson NH;Allen JL;Migas LG;Yang H;Brewer M;Anderson DM;Harvey J;Gutierrez DB;Harris RC;deCaestecker MP;Fogo AB;Van de Plas R;Caprioli RM;Spraggins JM
在这里，我们描述了人类肾脏组织的保存和准备，以通过组织病理学，成像质谱和多重免疫荧光进行询问。自定义图像配准和集成技术用于创建该器官系统的细胞和分子图谱。通过精心优化，我们确保了高质量和可重复的数据集，适用于对了解人类健康和疾病至关重要的跨患者比较。此外，这些步骤中的每一个都可以适用于其他器官系统或疾病，从而实现额外的图谱工作。结合了组织学、成像质谱和多重免疫荧光描述了用于生成高质量人类肾脏数据集的工作流程可以适用于其他器官系统或疾病在这里，我们描述了人类肾脏组织的保存和制备，以供组织病理学、成像质谱和多重免疫荧光检查。自定义图像配准和集成技术用于创建该器官系统的细胞和分子图谱。通过精心优化，我们确保了高质量和可重复的数据集，适用于对了解人类健康和疾病至关重要的跨患者比较。此外，这些步骤中的每一个都可以适用于其他器官系统或疾病，从而实现额外的图谱工作。
Here, we describe the preservation and preparation of human kidney tissue for interrogation by histopathology, imaging mass spectrometry, and multiplexed immunofluorescence. Custom image registration and integration techniques are used to create cellular and molecular atlases of this organ system. Through careful optimization, we ensure high-quality and reproducible datasets suitable for cross-patient comparisons that are essential to understanding human health and disease. Moreover, each of these steps can be adapted to other organ systems or diseases, enabling additional atlas efforts. Combines histology, imaging mass spectrometry, and multiplexed immunofluorescence Describes workflows for producing high-quality data sets of the human kidney Can be adapted to other organ systems or diseases Here, we describe the preservation and preparation of human kidney tissue for interrogation by histopathology, imaging mass spectrometry, and multiplexed immunofluorescence. Custom image registration and integration techniques are used to create cellular and molecular atlases of this organ system. Through careful optimization, we ensure high-quality and reproducible datasets suitable for cross-patient comparisons that are essential to understanding human health and disease. Moreover, each of these steps can be adapted to other organ systems or diseases, enabling additional atlas efforts.
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DOI：
10.1021/jasms.0c00232
发表时间：
2020-12-02
影响因子：
3.2
作者：
Neumann, Elizabeth K.;Djambazova, Katerina, V;Caprioli, Richard M.;Spraggins, Jeffrey M.
通讯作者：
Spraggins, Jeffrey M.
影响因子：
64.5
作者：
Goltsev Y;Samusik N;Kennedy-Darling J;Bhate S;Hale M;Vazquez G;Black S;Nolan GP
通讯作者：
Nolan GP
影响因子：
7.4
作者：
Spraggins, Jeffrey M.;Djambazova, Katerina V.;Caprioli, Richard M.
通讯作者：
Caprioli, Richard M.
影响因子：
16.6
作者：
Lake, Blue B.;Chen, Song;Jain, Sanjay
通讯作者：
Jain, Sanjay
影响因子：
64.5
作者：
Schurch, Christian M.;Bhate, Salil S.;Nolan, Garry P.
通讯作者：
Nolan, Garry P.