{"title":"表达关注:利用光谱流式细胞仪开发 43 色面板,用于表征常规和非常规 T 细胞亚群、B 细胞、NK 细胞、单核细胞、树突状细胞和先天性淋巴细胞。","authors":"","doi":"10.1002/cyto.a.24850","DOIUrl":null,"url":null,"abstract":"<p>\n <span>Fairooz Sahir</span>, <span>Jericha Miles Mateo</span>, <span>Martin Steinhoff</span>, <span>Kodappully Sivaraman Siveen</span> (<span>2020</span>), <span>Development of a 43 color panel for the characterization of conventional and unconventional T-cell subsets, B cells, NK cells, monocytes, dendritic cells, and innate lymphoid cells using spectral flow cytometry</span>. <i>Cytometry Part A</i>, https://doi.org/10.1002/cyto.a.24288.</p><p>This Expression of Concern is for the above article, published online on 18 December 2020 in Wiley Online Library (https://onlinelibrary.wiley.com/doi/10.1002/cyto.a.24288), and has been published by agreement between the journal's Editor-in-Chief, Attila Tárnok, the International Society for Advancement of Cytometry, and Wiley Periodicals, LLC.</p><p>The Expression of Concern has been agreed due to concerns raised by the cytometry community about the validity and reproducibility of the results, and overinterpretation of the data by the authors. However, the premise of the manuscript is that a 43-color panel is possible, with the conclusion that although not optimized, it nonetheless establishes an attempt at demonstrating the possibility of analyses at this depth of dimension.</p><p>With respect to panel design and assay optimization, the authors do not provide sufficient information regarding criteria for fluorochrome selection, spillover spread characterization, unmixing control optimization, unmixing accuracy, and differences in resolution between the single stained controls and the corresponding marker in the multicolor tube. The authors mention specific metrics used for panel design without explaining their meaning or relevance. In some instances, the gating strategy was found non-standard and the positioning of the gates arbitrary. Several populations display unusual patterns compared to what is expected in normal donors, and this may result from incorrect labeling of populations, poor data quality or limited familiarity with the tools used for analysis (e.g., high percentage of cells labeled as “MAIT”, and too close proximity of monocyte and dendritic cell populations in Suppl. Fig. 1). As the settings for the algorithms used have not been provided, reproducibility and verification of the accuracy of the data proves challenging. Lastly, the discussion of the figures and supplementary data is inaccurate or overinterpreted, in particular concerning the claims of satisfactory resolution using highly overlapping dyes when comparing the fully stained sample to the single-color stained sample (Suppl. Fig. 2).</p><p>The authors were informed about the concerns raised and asked to provide an explanation. Unfortunately, the concerns have not been satisfactorily addressed by the authors in the course of the investigation. Therefore, the journal has decided to issue an Expression of Concern to inform and alert the readers.</p>","PeriodicalId":11068,"journal":{"name":"Cytometry Part A","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cyto.a.24850","citationCount":"0","resultStr":"{\"title\":\"Expression of Concern: Development of a 43 color panel for the characterization of conventional and unconventional T-cell subsets, B cells, NK cells, monocytes, dendritic cells, and innate lymphoid cells using spectral flow cytometry\",\"authors\":\"\",\"doi\":\"10.1002/cyto.a.24850\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>\\n <span>Fairooz Sahir</span>, <span>Jericha Miles Mateo</span>, <span>Martin Steinhoff</span>, <span>Kodappully Sivaraman Siveen</span> (<span>2020</span>), <span>Development of a 43 color panel for the characterization of conventional and unconventional T-cell subsets, B cells, NK cells, monocytes, dendritic cells, and innate lymphoid cells using spectral flow cytometry</span>. <i>Cytometry Part A</i>, https://doi.org/10.1002/cyto.a.24288.</p><p>This Expression of Concern is for the above article, published online on 18 December 2020 in Wiley Online Library (https://onlinelibrary.wiley.com/doi/10.1002/cyto.a.24288), and has been published by agreement between the journal's Editor-in-Chief, Attila Tárnok, the International Society for Advancement of Cytometry, and Wiley Periodicals, LLC.</p><p>The Expression of Concern has been agreed due to concerns raised by the cytometry community about the validity and reproducibility of the results, and overinterpretation of the data by the authors. However, the premise of the manuscript is that a 43-color panel is possible, with the conclusion that although not optimized, it nonetheless establishes an attempt at demonstrating the possibility of analyses at this depth of dimension.</p><p>With respect to panel design and assay optimization, the authors do not provide sufficient information regarding criteria for fluorochrome selection, spillover spread characterization, unmixing control optimization, unmixing accuracy, and differences in resolution between the single stained controls and the corresponding marker in the multicolor tube. The authors mention specific metrics used for panel design without explaining their meaning or relevance. In some instances, the gating strategy was found non-standard and the positioning of the gates arbitrary. Several populations display unusual patterns compared to what is expected in normal donors, and this may result from incorrect labeling of populations, poor data quality or limited familiarity with the tools used for analysis (e.g., high percentage of cells labeled as “MAIT”, and too close proximity of monocyte and dendritic cell populations in Suppl. Fig. 1). As the settings for the algorithms used have not been provided, reproducibility and verification of the accuracy of the data proves challenging. Lastly, the discussion of the figures and supplementary data is inaccurate or overinterpreted, in particular concerning the claims of satisfactory resolution using highly overlapping dyes when comparing the fully stained sample to the single-color stained sample (Suppl. Fig. 2).</p><p>The authors were informed about the concerns raised and asked to provide an explanation. Unfortunately, the concerns have not been satisfactorily addressed by the authors in the course of the investigation. Therefore, the journal has decided to issue an Expression of Concern to inform and alert the readers.</p>\",\"PeriodicalId\":11068,\"journal\":{\"name\":\"Cytometry Part A\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cyto.a.24850\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cytometry Part A\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/cyto.a.24850\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cytometry Part A","FirstCategoryId":"99","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cyto.a.24850","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
摘要
Fairooz Sahir、Jericha Miles Mateo、Martin Steinhoff、Kodappully Sivaraman Siveen (2020),《利用光谱流式细胞仪表征常规和非常规T细胞亚群、B细胞、NK细胞、单核细胞、树突状细胞和先天性淋巴细胞的43种颜色面板的开发》。Cytometry Part A, https://doi.org/10.1002/cyto.a.24288.This Expression of Concern是针对2020年12月18日在线发表在Wiley Online Library (https://onlinelibrary.wiley.com/doi/10.1002/cyto.a.24288)上的上述文章,由该刊主编Attila Tárnok、国际细胞测量促进会(International Society for Advancement of Cytometry)和Wiley Periodicals, LLC协议发表。由于细胞测量界对结果的有效性和可重复性以及作者对数据的过度解读表示担忧,因此同意发表Expression of Concern。然而,手稿的前提是 43 色板是可能的,结论是虽然没有优化,但它还是尝试展示了在这一深度维度进行分析的可能性。关于面板设计和检测优化,作者没有提供足够的信息,说明荧光色素选择的标准、溢出扩散特征、未混合对照优化、未混合准确性以及单一染色对照与多色管中相应标记之间的分辨率差异。作者提到了用于面板设计的具体指标,但没有解释其含义或相关性。在某些情况下,门控策略是非标准的,门控的定位也是任意的。与正常捐献者相比,有几个群体显示出不寻常的模式,这可能是由于群体标记不正确、数据质量差或对分析工具的熟悉程度有限造成的(例如,在附图 1 中,标记为 "MAIT "的细胞比例较高,单核细胞和树突状细胞群体过于接近)。图 1)。由于没有提供所用算法的设置,因此数据的可重复性和准确性的验证具有挑战性。最后,对图和补充数据的讨论不准确或过度解读,特别是在比较全染色样本和单色染色样本时,声称使用高度重叠的染料能获得令人满意的分辨率(补充图 2)。遗憾的是,在调查过程中,作者并没有圆满解决这些问题。因此,本刊决定发布 "关注函",以告知和提醒读者。
Expression of Concern: Development of a 43 color panel for the characterization of conventional and unconventional T-cell subsets, B cells, NK cells, monocytes, dendritic cells, and innate lymphoid cells using spectral flow cytometry
Fairooz Sahir, Jericha Miles Mateo, Martin Steinhoff, Kodappully Sivaraman Siveen (2020), Development of a 43 color panel for the characterization of conventional and unconventional T-cell subsets, B cells, NK cells, monocytes, dendritic cells, and innate lymphoid cells using spectral flow cytometry. Cytometry Part A, https://doi.org/10.1002/cyto.a.24288.
This Expression of Concern is for the above article, published online on 18 December 2020 in Wiley Online Library (https://onlinelibrary.wiley.com/doi/10.1002/cyto.a.24288), and has been published by agreement between the journal's Editor-in-Chief, Attila Tárnok, the International Society for Advancement of Cytometry, and Wiley Periodicals, LLC.
The Expression of Concern has been agreed due to concerns raised by the cytometry community about the validity and reproducibility of the results, and overinterpretation of the data by the authors. However, the premise of the manuscript is that a 43-color panel is possible, with the conclusion that although not optimized, it nonetheless establishes an attempt at demonstrating the possibility of analyses at this depth of dimension.
With respect to panel design and assay optimization, the authors do not provide sufficient information regarding criteria for fluorochrome selection, spillover spread characterization, unmixing control optimization, unmixing accuracy, and differences in resolution between the single stained controls and the corresponding marker in the multicolor tube. The authors mention specific metrics used for panel design without explaining their meaning or relevance. In some instances, the gating strategy was found non-standard and the positioning of the gates arbitrary. Several populations display unusual patterns compared to what is expected in normal donors, and this may result from incorrect labeling of populations, poor data quality or limited familiarity with the tools used for analysis (e.g., high percentage of cells labeled as “MAIT”, and too close proximity of monocyte and dendritic cell populations in Suppl. Fig. 1). As the settings for the algorithms used have not been provided, reproducibility and verification of the accuracy of the data proves challenging. Lastly, the discussion of the figures and supplementary data is inaccurate or overinterpreted, in particular concerning the claims of satisfactory resolution using highly overlapping dyes when comparing the fully stained sample to the single-color stained sample (Suppl. Fig. 2).
The authors were informed about the concerns raised and asked to provide an explanation. Unfortunately, the concerns have not been satisfactorily addressed by the authors in the course of the investigation. Therefore, the journal has decided to issue an Expression of Concern to inform and alert the readers.
期刊介绍:
Cytometry Part A, the journal of quantitative single-cell analysis, features original research reports and reviews of innovative scientific studies employing quantitative single-cell measurement, separation, manipulation, and modeling techniques, as well as original articles on mechanisms of molecular and cellular functions obtained by cytometry techniques.
The journal welcomes submissions from multiple research fields that fully embrace the study of the cytome:
Biomedical Instrumentation Engineering
Biophotonics
Bioinformatics
Cell Biology
Computational Biology
Data Science
Immunology
Parasitology
Microbiology
Neuroscience
Cancer
Stem Cells
Tissue Regeneration.