Nico Wittmann, Sander Bekeschus, Doreen Biedenweg, Daniela Kuthning, Christopher Pohl, Jana Gramenz, Oliver Otto, Lukas Bossaller, Almut Meyer-Bahlburg
{"title":"通过流式细胞术、成像流式细胞术和高内涵成像技术对典型炎症小体激活进行比较分析","authors":"Nico Wittmann, Sander Bekeschus, Doreen Biedenweg, Daniela Kuthning, Christopher Pohl, Jana Gramenz, Oliver Otto, Lukas Bossaller, Almut Meyer-Bahlburg","doi":"10.1007/s10753-024-02141-z","DOIUrl":null,"url":null,"abstract":"<p>Inflammasome activation occurs in various diseases, including rare diseases that require multicenter studies for investigation. Flow cytometric analysis of ASC speck<sup>+</sup> cells in patient samples can be used to detect cell type-specific inflammasome activation. However, this requires standardized sample processing and the ability to compare data from different flow cytometers. To address this issue, we analyzed stimulated and unstimulated PBMCs from healthy donors using seven different flow cytometers. Additionally, human PBMCs were analyzed by fluorescence microscopy, imaging flow cytometry and high-content imaging (HCI). Flow cytometers differed significantly in their ability to detect ASC speck<sup>+</sup> cells. Aria III, Astrios EQ, and Canto II performed best in separating ASC speck<sup>+</sup> from diffuse ASC cells. Imaging flow cytometry and HCI provided additional insight into ASC speck formation based on image-based parameters. For optimal results, the ability to separate cells with diffuse ASC from ASC speck<sup>+</sup> cells is decisive. Image-based parameters can also differentiate cells with diffuse ASC from ASC speck<sup>+</sup> cells. For the first time, we analyzed ASC speck detection by HCI in PBMCs and demonstrated advantages of this technique, such as high-throughput, algorithm-driven image quantification and 3D-rendering. Thus, inflammasome activation by ASC speck formation can be detected by various technical methods. However, the results may vary depending on the device used.</p>","PeriodicalId":13524,"journal":{"name":"Inflammation","volume":null,"pages":null},"PeriodicalIF":4.5000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative Analysis of Canonical Inflammasome Activation by Flow Cytometry, Imaging Flow Cytometry and High-Content Imaging\",\"authors\":\"Nico Wittmann, Sander Bekeschus, Doreen Biedenweg, Daniela Kuthning, Christopher Pohl, Jana Gramenz, Oliver Otto, Lukas Bossaller, Almut Meyer-Bahlburg\",\"doi\":\"10.1007/s10753-024-02141-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Inflammasome activation occurs in various diseases, including rare diseases that require multicenter studies for investigation. Flow cytometric analysis of ASC speck<sup>+</sup> cells in patient samples can be used to detect cell type-specific inflammasome activation. However, this requires standardized sample processing and the ability to compare data from different flow cytometers. To address this issue, we analyzed stimulated and unstimulated PBMCs from healthy donors using seven different flow cytometers. Additionally, human PBMCs were analyzed by fluorescence microscopy, imaging flow cytometry and high-content imaging (HCI). Flow cytometers differed significantly in their ability to detect ASC speck<sup>+</sup> cells. Aria III, Astrios EQ, and Canto II performed best in separating ASC speck<sup>+</sup> from diffuse ASC cells. Imaging flow cytometry and HCI provided additional insight into ASC speck formation based on image-based parameters. For optimal results, the ability to separate cells with diffuse ASC from ASC speck<sup>+</sup> cells is decisive. Image-based parameters can also differentiate cells with diffuse ASC from ASC speck<sup>+</sup> cells. For the first time, we analyzed ASC speck detection by HCI in PBMCs and demonstrated advantages of this technique, such as high-throughput, algorithm-driven image quantification and 3D-rendering. Thus, inflammasome activation by ASC speck formation can be detected by various technical methods. 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Comparative Analysis of Canonical Inflammasome Activation by Flow Cytometry, Imaging Flow Cytometry and High-Content Imaging
Inflammasome activation occurs in various diseases, including rare diseases that require multicenter studies for investigation. Flow cytometric analysis of ASC speck+ cells in patient samples can be used to detect cell type-specific inflammasome activation. However, this requires standardized sample processing and the ability to compare data from different flow cytometers. To address this issue, we analyzed stimulated and unstimulated PBMCs from healthy donors using seven different flow cytometers. Additionally, human PBMCs were analyzed by fluorescence microscopy, imaging flow cytometry and high-content imaging (HCI). Flow cytometers differed significantly in their ability to detect ASC speck+ cells. Aria III, Astrios EQ, and Canto II performed best in separating ASC speck+ from diffuse ASC cells. Imaging flow cytometry and HCI provided additional insight into ASC speck formation based on image-based parameters. For optimal results, the ability to separate cells with diffuse ASC from ASC speck+ cells is decisive. Image-based parameters can also differentiate cells with diffuse ASC from ASC speck+ cells. For the first time, we analyzed ASC speck detection by HCI in PBMCs and demonstrated advantages of this technique, such as high-throughput, algorithm-driven image quantification and 3D-rendering. Thus, inflammasome activation by ASC speck formation can be detected by various technical methods. However, the results may vary depending on the device used.
期刊介绍:
Inflammation publishes the latest international advances in experimental and clinical research on the physiology, biochemistry, cell biology, and pharmacology of inflammation. Contributions include full-length scientific reports, short definitive articles, and papers from meetings and symposia proceedings. The journal''s coverage includes acute and chronic inflammation; mediators of inflammation; mechanisms of tissue injury and cytotoxicity; pharmacology of inflammation; and clinical studies of inflammation and its modification.