Related Experiment Video
Updated: Jun 16, 2026
09:28
Quantitative High-throughput Single-cell Cytotoxicity Assay For T Cells
Published on: February 2, 2013
Nested Nanowell Arrays for High-Throughput Quantitative Analysis of Cytokines from Single Macrophages
Claudius L Dietsche1, Lucien R Stöcklin1, Robert Strutt1
1Department of Biosystems and Engineering, ETH Zurich, Schanzenstrasse 44, CH-4056 Basel, Switzerland.
ACS Nano Medicine
|June 15, 2026
Summary
Researchers developed nested nanowell arrays to analyze single-cell protein secretion from tumor microenvironment (TME) macrophages. This technology reveals cytokine profiles and drug effects, aiding cancer research and personalized medicine.
Area of Science:
- Immunology and Cancer Biology
- Biotechnology and Bioengineering
Background:
- Macrophages are key regulators of the tumor microenvironment (TME) and exhibit diverse phenotypes.
- Understanding macrophage heterogeneity and their secreted cytokines is crucial for cancer research.
Purpose of the Study:
- To develop a high-throughput, single-cell analysis tool for multiplexed cytokine profiling of macrophages.
- To investigate the impact of drug treatments and stimuli on macrophage cytokine secretion.
Main Methods:
- Nested nanowell arrays with over 100,000 wells on a cyclic olefin copolymer (COC) substrate were fabricated.
- Functionalized, barcoded beads were used for capturing and quantifying 10 secreted proteins via sandwich immunoassays.
- An image analysis tool was developed for data processing and analysis of single-cell cytokine secretion.
Main Results:
- High secretion of interleukin (IL)-1β, IL-8, and macrophage inflammatory protein 1α (MIP-1α) was observed in over 43% of macrophages.
- Chemotherapeutic drugs paclitaxel and docetaxel increased MIP-1α secretion.
- Cosecretion of IL-1β and IL-6 was confirmed in IL-4/IL-13 stimulated macrophages, linked to multiple myeloma pathways.
Conclusions:
- Nested nanowell arrays provide an accessible platform for single-cell, multiplexed protein analysis.
- This technology has potential applications in basic research, diagnostics, and personalized medicine for analyzing cancer and immune cells.
