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SYLARAS:用于系统免疫分析数据的统计分析和可视化显示的平台及其在胶质母细胞瘤中的应用。

SYLARAS: A Platform for the Statistical Analysis and Visual Display of Systemic Immunoprofiling Data and Its Application to Glioblastoma.

机构信息

Laboratory of Systems Pharmacology, Program in Therapeutic Science, Harvard Medical School, Boston, MA 02115, USA; Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Ludwig Center for Cancer Research at Harvard, Harvard Medical School, Boston, MA 02115, USA.

Laboratory of Systems Pharmacology, Program in Therapeutic Science, Harvard Medical School, Boston, MA 02115, USA; Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.

出版信息

Cell Syst. 2020 Sep 23;11(3):272-285.e9. doi: 10.1016/j.cels.2020.08.001. Epub 2020 Sep 7.

Abstract

Accurately profiling systemic immune responses to cancer initiation and progression is necessary for understanding tumor surveillance and, ultimately, improving therapy. Here, we describe the SYLARAS software tool (systemic lymphoid architecture response assessment) and a dataset collected with SYLARAS that describes the frequencies of immune cells in primary and secondary lymphoid organs and in the tumor microenvironment of mice engrafted with a standard syngeneic glioblastoma (GBM) model. The data resource involves profiles of 5 lymphoid tissues in 48 mice and shows that GBM causes wide-spread changes in the local and systemic immune architecture. We use SYLARAS to identify a subset of CD45R/B220 CD8 T cells that is depleted from circulation but accumulates in the tumor mass and confirm this finding using multiplexed immunofluorescence microscopy. SYLARAS is freely available for download at (https://github.com/gjbaker/sylaras). A record of this paper's transparent peer review process is included in the Supplemental Information.

摘要

准确描绘癌症发生和进展过程中的系统性免疫反应,对于理解肿瘤监测以及最终改善治疗至关重要。在这里,我们描述了 SYLARAS 软件工具(系统性淋巴组织结构反应评估)和一个使用 SYLARAS 收集的数据集,该数据集描述了荷标准同基因胶质母细胞瘤(GBM)模型小鼠原发性和次级淋巴器官以及肿瘤微环境中免疫细胞的频率。该数据资源涉及 48 只小鼠的 5 种淋巴组织图谱,表明 GBM 导致局部和全身免疫结构的广泛改变。我们使用 SYLARAS 鉴定了一组从循环中耗尽但在肿瘤块中积累的 CD45R/B220 CD8 T 细胞亚群,并使用多重免疫荧光显微镜证实了这一发现。SYLARAS 可免费下载(https://github.com/gjbaker/sylaras)。本论文透明同行评审过程的记录包含在补充信息中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59f4/7565356/c4dd7d4399a1/nihms-1627764-f0002.jpg

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