Cell Systems
Volume 11, Issue 3, 23 September 2020, Pages 272-285.e9
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Article
SYLARAS: A Platform for the Statistical Analysis and Visual Display of Systemic Immunoprofiling Data and Its Application to Glioblastoma

https://doi.org/10.1016/j.cels.2020.08.001Get rights and content
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Highlights

  • Tumors broadly alter peripheral immune architecture in a syngeneic mouse model

  • SYLARAS and flow cytometry facilitate exploration of multi-organ immune phenotypes

  • Manual gating outperforms clustering in assigning immune cell types

  • B220+ CD8T cells are one type depleted from circulation and recruited to tumors

Summary

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.

Keywords

SYLARAS
systemic immunoprofiling
glioblastoma
systems immunology
computational flow cytometry

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