Literature DB >> 19190789

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

Alison M Hirsch1, Catherine A Rivet, Boyang Zhang, Melissa L Kemp, Hang Lu.   

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 alpha-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.

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Year:  2008        PMID: 19190789      PMCID: PMC3598578          DOI: 10.1039/b810896j

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


  31 in total

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Authors:  David R Mott; Peter B Howell; Joel P Golden; Carolyn R Kaplan; Frances S Ligler; Elaine S Oran
Journal:  Lab Chip       Date:  2006-03-03       Impact factor: 6.799

Review 5.  Cells on chips.

Authors:  Jamil El-Ali; Peter K Sorger; Klavs F Jensen
Journal:  Nature       Date:  2006-07-27       Impact factor: 49.962

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Review 7.  Analysis of single mammalian cells on-chip.

Authors:  Christopher E Sims; Nancy L Allbritton
Journal:  Lab Chip       Date:  2007-03-06       Impact factor: 6.799

8.  Microfluidic immunoassays as rapid saliva-based clinical diagnostics.

Authors:  Amy E Herr; Anson V Hatch; Daniel J Throckmorton; Huu M Tran; James S Brennan; William V Giannobile; Anup K Singh
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-20       Impact factor: 11.205

9.  MAPK-mediated bimodal gene expression and adaptive gradient sensing in yeast.

Authors:  Saurabh Paliwal; Pablo A Iglesias; Kyle Campbell; Zoe Hilioti; Alex Groisman; Andre Levchenko
Journal:  Nature       Date:  2007-02-18       Impact factor: 49.962

10.  Quantitative analysis of phosphotyrosine signaling networks triggered by CD3 and CD28 costimulation in Jurkat cells.

Authors:  Ji-Eun Kim; Forest M White
Journal:  J Immunol       Date:  2006-03-01       Impact factor: 5.422

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  4 in total

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2.  An automated programmable platform enabling multiplex dynamic stimuli delivery and cellular response monitoring for high-throughput suspension single-cell signaling studies.

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Journal:  Lab Chip       Date:  2015-03-21       Impact factor: 6.799

3.  Paramagnetic Structures within a Microfluidic Channel for Enhanced Immunomagnetic Isolation and Surface Patterning of Cells.

Authors:  Chen Sun; Hamid Hassanisaber; Richard Yu; Sai Ma; Scott S Verbridge; Chang Lu
Journal:  Sci Rep       Date:  2016-07-08       Impact factor: 4.379

4.  Immunomagnetic separation of tumor initiating cells by screening two surface markers.

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Journal:  Sci Rep       Date:  2017-01-11       Impact factor: 4.379

  4 in total

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