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通过质谱流式细胞术和 Cyto Quality Pipeline 进行大规模全血免疫监测的方案。

Protocol for large scale whole blood immune monitoring by mass cytometry and Cyto Quality Pipeline.

机构信息

GENYO, Centre for Genomics and Oncological Research Pfizer/University of Granada/ Andalusian Regional Government, PTS, 18016 Granada, Spain.

Department of Applied Mathematics, Computer Sciences and Statistics, Ghent University, 9000 Gent, Belgium; Data Mining and Modeling for Biomedicine, VIB Center for Inflammation Research, 9000 Gent, Belgium.

出版信息

STAR Protoc. 2022 Oct 31;3(4):101697. doi: 10.1016/j.xpro.2022.101697. eCollection 2022 Dec 16.

Abstract

Mass cytometry (MC) is a powerful large-scale immune monitoring technology. To maximize MC data quality, we present a protocol for whole blood analysis together with an R package, Cyto Quality Pipeline (CytoQP), which minimizes the experimental artifacts and batch effects to ensure data reproducibility. We describe the steps to stimulate, fix, and freeze blood samples before acquisition to make them suitable for retrospective studies. We then detail the use of barcoding and reference samples to facilitate multicenter and multi-batch experiments. For complete details on the use and execution of this protocol, please refer to Rybakowska et al. (2021a) and (2021b).

摘要

质谱流式细胞术(MC)是一种强大的大规模免疫监测技术。为了最大限度地提高 MC 数据质量,我们提出了一种全血分析方案,以及一个 R 包 Cyto Quality Pipeline(CytoQP),该方案最大限度地减少了实验伪影和批次效应,确保了数据的可重复性。我们描述了在采集前刺激、固定和冷冻血液样本的步骤,以使它们适合回顾性研究。然后,我们详细介绍了使用条形码和参考样本来促进多中心和多批次实验的方法。有关本协议使用和执行的完整详细信息,请参阅 Rybakowska 等人(2021a)和(2021b)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7d4/9637821/cfa0ddf8f133/fx1.jpg

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