OMIP-111: Immune-Profiling of T Helper 1 (Th1), Th2, and Th17 Signatures in Murine Splenocytes by Targeting Intracellular Cytokines.

IF 2.5 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS
Soumik Barman, Aisling Kelly, Danica Dong, Arsh Patel, Michael J Buonopane, Jake Gonzales, Ben Janoschek, Andrew Draghi, David J Dowling
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引用次数: 0

Abstract

Functional cytokines shape both innate and adaptive immune responses in the host after infection or immunization. Deep immunophenotyping of the key functional cytokine signatures associated with T cells in murine lymphoid tissue, especially in the spleen, is challenging. Using spectral flow cytometry, we developed a 17-parameter panel to profile major immune cell subsets along with T cells, memory phenotypes, and functional cytokines in murine splenocytes in steady state as well as in stimulated conditions. This panel dissects the memory T cell compartment via CD62L and CD44 expression after mitogen stimulation. To profile T helper (Th) cell distribution after mitogen stimulation, established Th1 markers IFNγ, TNF, and IL-2; Th2 markers IL-4/5; and the Th17 marker, IL-17, are included. This optimized multicolor spectral flow panel allows a detailed immune-profiling of functional cytokines in the murine T cell compartment and might be useful for exploratory analysis of how these functional cytokines shape host immunity after infection or vaccination. Our panel could be easily modified if researchers wish to tailor the panel to their specific needs.

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来源期刊
Cytometry Part A
Cytometry Part A 生物-生化研究方法
CiteScore
8.10
自引率
13.50%
发文量
183
审稿时长
4-8 weeks
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.
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