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Issue 4, 2009

Parallel multi-time point cell stimulation and lysis on-chip for studying early signaling events in T cell activation

Author affiliations

Abstract

Dynamics of complex signaling networks are important to many biological problems. Quantitative data at early time points after cellular stimulation are necessary for accurate model generation. However, the large amount of data needed is often extremely time-consuming and expensive to acquire with conventional methods. We present a two-module microfluidic platform for simultaneous multi-time point stimulation and lysis of T cells for early time point signaling activation with a resolution down to 20 s using only small amounts of cells and reagents. The key design features are rapid mixing of reagents and uniform splitting into eight channels for simultaneous collection of multi-time point data. Chaotic mixing was investigated via computational fluid dynamic modeling, and was used to achieve rapid and complete mixing. This modular device is flexible—with easy adjustment of the setup, a wide range of time points can be achieved. We show that treatment in the device does not elicit adverse cellular stress in Jurkat cells. The activation of six important proteins in the signaling cascade was quantified upon stimulation with a soluble form of α-CD3. The dynamics from device and conventional methods are similar, but the microdevice exhibits significantly less error between experiments. We envision this high-throughput format to enable simple and fast generation of large sets of quantitative data, with consistent sample handling, for many complex biological systems.

Graphical abstract: Parallel multi-time point cell stimulation and lysis on-chip for studying early signaling events in T cell activation

Article information


Submitted
27 Jun 2008
Accepted
14 Oct 2008
First published
20 Nov 2008

Lab Chip, 2009,9, 536-544
Article type
Paper

Parallel multi-time point cell stimulation and lysis on-chip for studying early signaling events in T cell activation

A. M. Hirsch, C. A. Rivet, B. Zhang, M. L. Kemp and H. Lu, Lab Chip, 2009, 9, 536 DOI: 10.1039/B810896J

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