Literature DB >> 32242586

Droplet encapsulation improves accuracy of immune cell cytokine capture assays.

Yuan Yuan1, Julie Brouchon, J Mauricio Calvo-Calle, Jing Xia, Li Sun, Xu Zhang, Kiera L Clayton, Fangfu Ye, David A Weitz, John A Heyman.   

Abstract

Quantification of cell-secreted molecules, e.g., cytokines, is fundamental to the characterization of immune responses. Cytokine capture assays that use engineered antibodies to anchor the secreted molecules to the secreting cells are widely used to characterize immune responses because they allow both sensitive identification and recovery of viable responding cells. However, if the cytokines diffuse away from the secreting cells, non-secreting cells will also be identified as responding cells. Here we encapsulate immune cells in microfluidic droplets and perform in-droplet cytokine capture assays to limit the diffusion of the secreted cytokines. We use microfluidic devices to rapidly encapsulate single natural killer NK-92 MI cells and their target K562 cells into microfluidic droplets. We perform in-droplet IFN-γ capture assays and demonstrate that NK-92 MI cells recognize target cells within droplets and become activated to secrete IFN-γ. Droplet encapsulation prevents diffusion of secreted products to neighboring cells and dramatically reduces both false positives and false negatives, relative to assays performed without droplets. In a sample containing 1% true positives, encapsulation reduces, from 94% to 2%, the number of true-positive cells appearing as negatives; in a sample containing 50% true positives, the number of non-stimulated cells appearing as positives is reduced from 98% to 1%. After cells are released from the droplets, secreted cytokine remains captured onto secreting immune cells, enabling FACS-isolation of populations highly enriched for activated effector immune cells. Droplet encapsulation can be used to reduce background and improve detection of any single-cell secretion assay.

Entities:  

Year:  2020        PMID: 32242586      PMCID: PMC7313394          DOI: 10.1039/c9lc01261c

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  33 in total

1.  An Efficient Single-Cell RNA-Seq Approach to Identify Neoantigen-Specific T Cell Receptors.

Authors:  Yong-Chen Lu; Zhili Zheng; Paul F Robbins; Eric Tran; Todd D Prickett; Jared J Gartner; Yong F Li; Satyajit Ray; Zulmarie Franco; Valery Bliskovsky; Peter C Fitzgerald; Steven A Rosenberg
Journal:  Mol Ther       Date:  2017-10-28       Impact factor: 11.454

2.  A membrane-anchored aptamer sensor for probing IFNγ secretion by single cells.

Authors:  Liping Qiu; Florian Wimmers; Jorieke Weiden; Hans A Heus; Jurjen Tel; Carl G Figdor
Journal:  Chem Commun (Camb)       Date:  2017-07-13       Impact factor: 6.222

Review 3.  Natural killer cells in antiviral defense: function and regulation by innate cytokines.

Authors:  C A Biron; K B Nguyen; G C Pien; L P Cousens; T P Salazar-Mather
Journal:  Annu Rev Immunol       Date:  1999       Impact factor: 28.527

4.  Isolation of neoantigen-specific T cells from tumor and peripheral lymphocytes.

Authors:  Cyrille J Cohen; Jared J Gartner; Miryam Horovitz-Fried; Katerina Shamalov; Kasia Trebska-McGowan; Valery V Bliskovsky; Maria R Parkhurst; Chen Ankri; Todd D Prickett; Jessica S Crystal; Yong F Li; Mona El-Gamil; Steven A Rosenberg; Paul F Robbins
Journal:  J Clin Invest       Date:  2015-09-21       Impact factor: 14.808

Review 5.  Sorting through subsets: which T-cell populations mediate highly effective adoptive immunotherapy?

Authors:  Christopher A Klebanoff; Luca Gattinoni; Nicholas P Restifo
Journal:  J Immunother       Date:  2012 Nov-Dec       Impact factor: 4.456

6.  The interferon gamma secretion assay: a reliable tool to study interferon gamma production at the single cell level.

Authors:  I Desombere; P Meuleman; H Rigole; A Willems; J Irsch; G Leroux-Roels
Journal:  J Immunol Methods       Date:  2004-03       Impact factor: 2.303

Review 7.  Heterogeneity in immune responses: from populations to single cells.

Authors:  Rahul Satija; Alex K Shalek
Journal:  Trends Immunol       Date:  2014-04-16       Impact factor: 16.687

8.  Single-cell analysis reveals that stochasticity and paracrine signaling control interferon-alpha production by plasmacytoid dendritic cells.

Authors:  Florian Wimmers; Nikita Subedi; Nicole van Buuringen; Daan Heister; Judith Vivié; Inge Beeren-Reinieren; Rob Woestenenk; Harry Dolstra; Aigars Piruska; Joannes F M Jacobs; Alexander van Oudenaarden; Carl G Figdor; Wilhelm T S Huck; I Jolanda M de Vries; Jurjen Tel
Journal:  Nat Commun       Date:  2018-08-20       Impact factor: 14.919

Review 9.  Single Cell T Cell Receptor Sequencing: Techniques and Future Challenges.

Authors:  Marco De Simone; Grazisa Rossetti; Massimiliano Pagani
Journal:  Front Immunol       Date:  2018-07-18       Impact factor: 7.561

10.  Intracellular Cytokine Staining and Flow Cytometry: Considerations for Application in Clinical Trials of Novel Tuberculosis Vaccines.

Authors:  Steven G Smith; Kaatje Smits; Simone A Joosten; Krista E van Meijgaarden; Iman Satti; Helen A Fletcher; Nadia Caccamo; Francesco Dieli; Francoise Mascart; Helen McShane; Hazel M Dockrell; Tom H M Ottenhoff
Journal:  PLoS One       Date:  2015-09-14       Impact factor: 3.240

View more
  6 in total

1.  IL-2 secretion-based sorting of single T cells using high-throughput microfluidic on-cell cytokine capture.

Authors:  Robert Dimatteo; Dino Di Carlo
Journal:  Lab Chip       Date:  2022-04-12       Impact factor: 7.517

Review 2.  Measuring single-cell protein secretion in immunology: Technologies, advances, and applications.

Authors:  Olivia T M Bucheli; Ingibjörg Sigvaldadóttir; Klaus Eyer
Journal:  Eur J Immunol       Date:  2021-04-01       Impact factor: 5.532

3.  A Monolithic 3D Printed Axisymmetric Co-Flow Single and Compound Emulsion Generator.

Authors:  Amirreza Ghaznavi; Yang Lin; Mark Douvidzon; Adam Szmelter; Alannah Rodrigues; Malik Blackman; David Eddington; Tal Carmon; Lev Deych; Lan Yang; Jie Xu
Journal:  Micromachines (Basel)       Date:  2022-01-26       Impact factor: 2.891

Review 4.  Microfluidic Compartmentalization Platforms for Single Cell Analysis.

Authors:  Xuhao Luo; Jui-Yi Chen; Marzieh Ataei; Abraham Lee
Journal:  Biosensors (Basel)       Date:  2022-01-21

Review 5.  Single-cell sorting based on secreted products for functionally defined cell therapies.

Authors:  Hiromi Miwa; Robert Dimatteo; Joseph de Rutte; Rajesh Ghosh; Dino Di Carlo
Journal:  Microsyst Nanoeng       Date:  2022-07-22       Impact factor: 8.006

Review 6.  Cytokines: From Clinical Significance to Quantification.

Authors:  Chao Liu; Dewei Chu; Kourosh Kalantar-Zadeh; Jacob George; Howard A Young; Guozhen Liu
Journal:  Adv Sci (Weinh)       Date:  2021-06-10       Impact factor: 16.806

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.