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Single-Cell Multiplexed Proteomics on the IsoLight Resolves Cellular Functional Heterogeneity to Reveal Clinical Responses of Cancer Patients to Immunotherapies

免疫系统 免疫疗法 癌症免疫疗法 细胞疗法 嵌合抗原受体 CD19 抗原 免疫检查点 医学 T细胞 电池类型 癌症研究 生物 免疫学 细胞 遗传学
作者
Dong Liu,Patrick Paczkowski,Sean Mackay,Colin Ng,Jing Zhou
出处
期刊:Methods in molecular biology [Springer Science+Business Media]
卷期号:: 413-431 被引量:34
标识
DOI:10.1007/978-1-4939-9773-2_19
摘要

Cancer immunotherapies, in particular adoptive T cell therapy and immune-checkpoint blockade therapy have demonstrated a remarkable success in the treatment of cancer. However, due to heterogeneous functionality and complex immune response of immune cells, it remains challenging to identify predictive biomarkers which have the potential to correlate with efficacy and adverse effects of immunotherapies and help selecting patients who might benefit from the therapy, developing more personalized therapeutics as well as reducing clinical trial cost. The single-cell IsoCode chip in conjunction with fluorescent ELISA-based assay enables a simultaneous detection up to 40+ proteins secreted from live single immune cells, providing a large portion of the assayable functions for each immune cell type, and thus precise assessment of multifunctional, or polyfunctional, heterogeneity of each immune cell type. This unique functional detection capability provides a powerful solution to unmet needs in immunotherapy patient profiling today. Recently, the single-cell metric termed polyfunctional strength index (PSI™) by IsoCode chip computed from preinfusion anti-CD19 chimeric antigen receptor (CAR)-T cell products has demonstrated a significant association with clinical response and cytokine release syndrome (CRS) of cancer patient to the therapy after cell product infusion. This chapter elucidates IsoPlexis single-cell highly multiplexed proteomic platform and provides technical details for characterizing cell products and various cell subsets from peripheral blood, bone marrow, or tumor tissues using this assay.
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