| Literature DB >> 32788719 |
Yacine Bounab1,2, Klaus Eyer3,4, Sophie Dixneuf5, Magda Rybczynska3, Cécile Chauvel5, Maxime Mistretta1, Trang Tran5, Nathan Aymerich3, Guilhem Chenon3, Jean-François Llitjos6, Fabienne Venet7,8, Guillaume Monneret7,8, Iain A Gillespie9, Pierre Cortez10, Virginie Moucadel7,11, Alexandre Pachot11, Alain Troesch5, Philippe Leissner5, Julien Textoris7,11,12, Jérôme Bibette3, Cyril Guyard5, Jean Baudry13, Andrew D Griffiths14, Christophe Védrine15.
Abstract
Characterization of immune responses is currently hampered by the lack of systems enabling quantitative and dynamic phenotypic characterization of individual cells and, in particular, analysis of secreted proteins such as cytokines and antibodies. We recently developed a simple and robust microfluidic platform, DropMap, to measure simultaneously the kinetics of secretion and other cellular characteristics, including endocytosis activity, viability and expression of cell-surface markers, from tens of thousands of single immune cells. Single cells are compartmentalized in 50-pL droplets and analyzed using fluorescence microscopy combined with an immunoassay based on fluorescence relocation to paramagnetic nanoparticles aligned to form beadlines in a magnetic field. The protocol typically takes 8-10 h after preparation of microfluidic chips and chambers, which can be done in advance. By contrast, enzyme-linked immunospot (ELISPOT), flow cytometry, time-of-flight mass cytometry (CyTOF), and single-cell sequencing enable only end-point measurements and do not enable direct, quantitative measurement of secreted proteins. We illustrate how this system can be used to profile downregulation of tumor necrosis factor-α (TNF-α) secretion by single monocytes in septic shock patients, to study immune responses by measuring rates of cytokine secretion from single T cells, and to measure affinity of antibodies secreted by single B cells.Entities:
Mesh:
Year: 2020 PMID: 32788719 DOI: 10.1038/s41596-020-0354-0
Source DB: PubMed Journal: Nat Protoc ISSN: 1750-2799 Impact factor: 13.491