Measuring single-cell protein secretion in immunology: Technologies, advances, and applications
- PMID:33734428
- PMCID: PMC8252417
- DOI: 10.1002/eji.202048976
Measuring single-cell protein secretion in immunology: Technologies, advances, and applications
Abstract
The dynamics, nature, strength, and ultimately protective capabilities of an active immune response are determined by the extracellular constitution and concentration of various soluble factors. Generated effector cells secrete such mediators, including antibodies, chemo- and cytokines to achieve functionality. These secreted factors organize the individual immune cells into functional tissues, initiate, orchestrate, and regulate the immune response. Therefore, a single-cell resolved analysis of protein secretion is a valuable tool for studying the heterogeneity and functionality of immune cells. This review aims to provide a comparative overview of various methods to characterize immune reactions by measuring single-cell protein secretion. Spot-based and cytometry-based assays, such as ELISpot and flow cytometry, respectively, are well-established methods applied in basic research and clinical settings. Emerging novel technologies, such as microfluidic platforms, offer new ways to measure and exploit protein secretion in immune reactions. Further technological advances will allow the deciphering of protein secretion in immunological responses with unprecedented detail, linking secretion to functionality. Here, we summarize the development and recent advances of tools that allow the analysis of protein secretion at the single-cell level, and discuss and contrast their applications within immunology.
Keywords: Single-cell analysis; functional deep-phenotyping; microfluidic platforms; protein secretion; spot- and cytometry-based assays.
© 2021 The Authors. European Journal of Immunology published by Wiley-VCH GmbH.
Conflict of interest statement
K.E. is a co‐inventor on patent applications based on stationary droplet arrays and may receive financial compensation via their employer's rewards to inventors’ scheme. O.T.M.B. and I.S. declare no competing interest.
Figures

Similar articles
- A Guide to the Quantitation of Protein Secretion Dynamics at the Single-Cell Level.Aymerich N, Bucheli OTM, Portmann K, Eyer K, Baudry J.Aymerich N, et al.Methods Mol Biol. 2024;2804:141-162. doi: 10.1007/978-1-0716-3850-7_9.Methods Mol Biol. 2024.PMID:38753146
- Integrating Immunology and Microfluidics for Single Immune Cell Analysis.Sinha N, Subedi N, Tel J.Sinha N, et al.Front Immunol. 2018 Oct 16;9:2373. doi: 10.3389/fimmu.2018.02373. eCollection 2018.Front Immunol. 2018.PMID:30459757Free PMC article.Review.
- Advances of Single-Cell Protein Analysis.Liu L, Chen D, Wang J, Chen J.Liu L, et al.Cells. 2020 May 20;9(5):1271. doi: 10.3390/cells9051271.Cells. 2020.PMID:32443882Free PMC article.Review.
- Challenges in Developing Protein Secretion Assays at a Single-Cell Level.Shirasaki Y, Ohara O.Shirasaki Y, et al.Methods Mol Biol. 2018;1808:1-7. doi: 10.1007/978-1-4939-8567-8_1.Methods Mol Biol. 2018.PMID:29956169Review.
- Recent advances in single cell manipulation and biochemical analysis on microfluidics.Gao D , Jin F , Zhou M , Jiang Y .Gao D , et al.Analyst. 2019 Jan 28;144(3):766-781. doi: 10.1039/c8an01186a.Analyst. 2019.PMID:30298867Review.
Cited by
- Deep learning enabled label-free microfluidic droplet classification for single cell functional assays.Vanhoucke T, Perima A, Zolfanelli L, Bruhns P, Broketa M.Vanhoucke T, et al.Front Bioeng Biotechnol. 2024 Sep 18;12:1468738. doi: 10.3389/fbioe.2024.1468738. eCollection 2024.Front Bioeng Biotechnol. 2024.PMID:39359262Free PMC article.
- Artificial Intelligence-Based Counting Algorithm Enables Accurate and Detailed Analysis of the Broad Spectrum of Spot Morphologies Observed in Antigen-Specific B-Cell ELISPOT and FluoroSpot Assays.Karulin AY, Katona M, Megyesi Z, Kirchenbaum GA, Lehmann PV.Karulin AY, et al.Methods Mol Biol. 2024;2768:59-85. doi: 10.1007/978-1-0716-3690-9_5.Methods Mol Biol. 2024.PMID:38502388
- A nanowell platform to identify, sort and expand high antibody-producing cells.Abali F, Schasfoort R, Nijland S, Wittenberns J, Tibbe AGJ, den Hartog M, Boon L, Terstappen LWMM.Abali F, et al.Sci Rep. 2024 Apr 24;14(1):9457. doi: 10.1038/s41598-024-60054-1.Sci Rep. 2024.PMID:38658627Free PMC article.
- Spatially Defined Cell-Secreted Protein Detection Using Granular Hydrogels: μGeLISA.Ryoo H, Underhill GH.Ryoo H, et al.ACS Biomater Sci Eng. 2023 May 8;9(5):2317-2328. doi: 10.1021/acsbiomaterials.2c01308. Epub 2023 Apr 18.ACS Biomater Sci Eng. 2023.PMID:37070831Free PMC article.
- A mini review on recent progress of microfluidic systems for antibody development.Omidfar K, Kashanian S.Omidfar K, et al.J Diabetes Metab Disord. 2024 Jan 18;23(1):323-331. doi: 10.1007/s40200-024-01386-7. eCollection 2024 Jun.J Diabetes Metab Disord. 2024.PMID:38932846Free PMC article.Review.
References
- Mousset, C. M. , Hobo, W. , Woestenenk, R. , Preijers, F. , Dolstra, H. and van der Waart, A. B. , Comprehensive phenotyping of t cells using flow cytometry. Cytometry A. 2019. 95: 647–654. - PubMed
- Chokkalingam, V. , Tel, J. , Wimmers, F. , Liu, X. , Semenov, S. , Thiele, J. et al., Probing cellular heterogeneity in cytokine‐secreting immune cells using droplet‐based microfluidics. Lab Chip. 2013. 13: 4740–4744. - PubMed
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources