Literature DB >> 23388050

Implementing enzyme-linked immunosorbent assays on a microfluidic chip to quantify intracellular molecules in single cells.

K Eyer1, S Stratz, P Kuhn, S K Küster, P S Dittrich.   

Abstract

Cell-to-cell differences play a key role in the ability of cell populations to adapt and evolve, and they are considered to impact the development of several diseases. Recent advances in microsystem technology provide promising solutions for single-cell studies. However, the quantitative chemical analysis of single-cell lysates remains difficult. Here, we combine a microfluidic device with the analytical strength of enzyme-linked immunosorbent assays (ELISA) for single-cell studies to reliably identify intracellular proteins, secondary messengers, or metabolites. The microfluidic device allows parallel single-cell trapping and isolation in 625-pL microchambers, repeated treatment and washing steps, subsequent lysis and analysis by ELISA. Using a sandwich ELISA, we quantitatively determined the concentration of the enzyme GAPDH in single U937 cells and HEK 293 cells, and found amounts within a range of a few (1-4) attomol per cell. Furthermore, a competitive ELISA is performed to determine the concentration of the secondary messenger cyclic adenosine monophosphate (cAMP) in MLT cells, in response to the hormone lutropin. We found the half maximal effective concentration (EC50) of lutropin to have an average value of 2.51 ± 0.44 ng/mL. Surprisingly, there were large cell-to-cell variations for all supplied lutropin concentrations, ranging from 36 to 536 attomol cAMP for nonstimulated cells and from 80 to 1040 attomol cAMP for a concentration around the EC50 (3 ng/mL). Because of the high sensitivity and specificity of ELISA and the large number of antibodies available, we believe that our device provides a new, powerful means for single-cell proteomics and metabolomics.

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Year:  2013        PMID: 23388050     DOI: 10.1021/ac303628j

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


  22 in total

1.  Automatic sequential fluid handling with multilayer microfluidic sample isolated pumping.

Authors:  Jixiao Liu; Hai Fu; Tianhang Yang; Songjing Li
Journal:  Biomicrofluidics       Date:  2015-10-01       Impact factor: 2.800

2.  A microfluidic chip for the versatile chemical analysis of single cells.

Authors:  Klaus Eyer; Phillip Kuhn; Simone Stratz; Petra S Dittrich
Journal:  J Vis Exp       Date:  2013-10-15       Impact factor: 1.355

3.  Microengineered cell and tissue systems for drug screening and toxicology applications: Evolution of in-vitro liver technologies.

Authors:  O B Usta; W J McCarty; S Bale; M Hegde; R Jindal; A Bhushan; I Golberg; M L Yarmush
Journal:  Technology (Singap World Sci)       Date:  2015-03

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.  Automating drug discovery.

Authors:  Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2017-12-15       Impact factor: 84.694

Review 6.  Recent Advances in the Analysis of Single Cells.

Authors:  Lucas Armbrecht; Petra S Dittrich
Journal:  Anal Chem       Date:  2016-12-07       Impact factor: 6.986

Review 7.  Review of methods to probe single cell metabolism and bioenergetics.

Authors:  Andreas E Vasdekis; Gregory Stephanopoulos
Journal:  Metab Eng       Date:  2014-10-31       Impact factor: 9.783

8.  Counting Proteins in Single Cells with Addressable Droplet Microarrays.

Authors:  Stelios Chatzimichail; Pashiini Supramaniam; Oscar Ces; Ali Salehi-Reyhani
Journal:  J Vis Exp       Date:  2018-07-06       Impact factor: 1.355

Review 9.  Emerging microengineered tools for functional analysis and phenotyping of blood cells.

Authors:  Xiang Li; Weiqiang Chen; Zida Li; Ling Li; Hongchen Gu; Jianping Fu
Journal:  Trends Biotechnol       Date:  2014-10-02       Impact factor: 19.536

Review 10.  Methods to study the tumor microenvironment under controlled oxygen conditions.

Authors:  Matthew B Byrne; Matthew T Leslie; H Rex Gaskins; Paul J A Kenis
Journal:  Trends Biotechnol       Date:  2014-10-02       Impact factor: 19.536

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