Literature DB >> 19323537

Fully integrated microfluidic platform enabling automated phosphoprofiling of macrophage response.

Nimisha Srivastava1, James S Brennan, Ronald F Renzi, Meiye Wu, Steven S Branda, Anup K Singh, Amy E Herr.   

Abstract

The ability to monitor cell signaling events is crucial to the understanding of immune defense against invading pathogens. Conventional analytical techniques such as flow cytometry, microscopy, and Western blot are powerful tools for signaling studies. Nevertheless, each approach is currently stand-alone and limited by multiple time-consuming and labor-intensive steps. In addition, these techniques do not provide correlated signaling information on total intracellular protein abundance and subcellular protein localization. We report on a novel phosphoFlow Chip (pFC) that relies on monolithic microfluidic technology to rapidly conduct signaling studies. The pFC platform integrates cell stimulation and preparation, microscopy, and subsequent flow cytometry. pFC allows host-pathogen phosphoprofiling in 30 min with an order of magnitude reduction in the consumption of reagents. For pFC validation, we monitor the mitogen-activated protein kinases ERK1/2 and p38 in response to Escherichia coli lipopolysaccharide (LPS) stimulation of murine macrophage cells (RAW 264.7). pFC permits ERK1/2 phosphorylation monitoring starting at 5 s after LPS stimulation, with phosphorylation observed at 5 min. In addition, ERK1/2 phosphorylation is correlated with subsequent recruitment into the nucleus, as observed from fluorescence microscopy performed on cells upstream of flow cytometric analysis. The fully integrated cell handling has the added advantage of reduced cell aggregation and cell loss, with no detectable cell activation. The pFC approach is a step toward unified, automated infrastructure for high-throughput systems biology.

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Year:  2009        PMID: 19323537     DOI: 10.1021/ac8024224

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  14 in total

1.  Multimolecular analysis of stable immunological synapses reveals sustained recruitment and sequential assembly of signaling clusters.

Authors:  Lars Philipsen; Thomas Engels; Kerstin Schilling; Slavyana Gurbiel; Klaus-Dieter Fischer; Kerry Tedford; Burkhart Schraven; Matthias Gunzer; Peter Reichardt
Journal:  Mol Cell Proteomics       Date:  2013-06-10       Impact factor: 5.911

2.  A versatile automated platform for micro-scale cell stimulation experiments.

Authors:  Anupama Sinha; Mais J Jebrail; Hanyoup Kim; Kamlesh D Patel; Steven S Branda
Journal:  J Vis Exp       Date:  2013-08-06       Impact factor: 1.355

3.  Application of programmable bio-nano-chip system for the quantitative detection of drugs of abuse in oral fluids.

Authors:  Nicolaos Christodoulides; Richard De La Garza; Glennon W Simmons; Michael P McRae; Jorge Wong; Thomas F Newton; Regina Smith; James J Mahoney; Justin Hohenstein; Sobeyda Gomez; Pierre N Floriano; Humberto Talavera; Daniel J Sloan; David E Moody; David M Andrenyak; Thomas R Kosten; Ahmed Haque; John T McDevitt
Journal:  Drug Alcohol Depend       Date:  2015-05-22       Impact factor: 4.492

Review 4.  Recent advances in the use of microfluidic technologies for single cell analysis.

Authors:  Travis W Murphy; Qiang Zhang; Lynette B Naler; Sai Ma; Chang Lu
Journal:  Analyst       Date:  2017-12-18       Impact factor: 4.616

Review 5.  Single-cell protein analysis.

Authors:  Meiye Wu; Anup K Singh
Journal:  Curr Opin Biotechnol       Date:  2011-12-19       Impact factor: 9.740

6.  Programmable nano-bio-chips: multifunctional clinical tools for use at the point-of-care.

Authors:  Jesse V Jokerst; John T McDevitt
Journal:  Nanomedicine (Lond)       Date:  2010-01       Impact factor: 5.307

Review 7.  Microchip-based single-cell functional proteomics for biomedical applications.

Authors:  Yao Lu; Liu Yang; Wei Wei; Qihui Shi
Journal:  Lab Chip       Date:  2017-03-29       Impact factor: 6.799

8.  Single-cell measurements of IgE-mediated FcεRI signaling using an integrated microfluidic platform.

Authors:  Yanli Liu; Dipak Barua; Peng Liu; Bridget S Wilson; Janet M Oliver; William S Hlavacek; Anup K Singh
Journal:  PLoS One       Date:  2013-03-27       Impact factor: 3.240

Review 9.  Porous bead-based diagnostic platforms: bridging the gaps in healthcare.

Authors:  Jie Chou; Jorge Wong; Nicolaos Christodoulides; Pierre N Floriano; Ximena Sanchez; John McDevitt
Journal:  Sensors (Basel)       Date:  2012-11-09       Impact factor: 3.576

Review 10.  Single Cell Isolation and Analysis.

Authors:  Ping Hu; Wenhua Zhang; Hongbo Xin; Glenn Deng
Journal:  Front Cell Dev Biol       Date:  2016-10-25
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