Literature DB >> 21371878

Single-molecule-counting protein microarray assay with nanoliter samples and its application in the dynamic protein expression of living cells.

Lu Li1, Xun Qu, Jintang Sun, Meixiang Yang, Bingfeng Song, Qianqian Shao, Xiaoli Zhang, Wenrui Jin.   

Abstract

A novel ultra-sensitive single-molecule-counting microarray assay (SMCMA) with a 1.8-nL sample volume for quantification of proteins was provided using total internal reflection fluorescence microscopy coupled with quantum dot (QD)-labeling. In the SMCMA, the microarray consisting of ∼ 300 μm diameter microspots with the spot-to-spot pitch distance of 500 μm was fabricated by spotting 1.8 nL of solutions containing the target protein onto the substrate which was modified with primary antibody of the protein and blocked with ethanolamine and BSA using a pin-tool type microarraying robot. Then, biotinylated secondary antibody of the protein was bound to the protein to form sandwich immunocomplexes. After labeling with streptavidin-coated QDs, the whole image of the microarray was acquired using a homemade single-molecule microarray reader. The target protein was quantified based on the number of bright dots from the QDs corresponding to single target protein molecules on the microarray. Using the SMCMA, an amount as low as 1.5 × 10(-21) mole (904 molecules) for proteins could be detected. The SMCMA was applied to measure dynamic expression of osteopontin in living cells.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21371878     DOI: 10.1016/j.bios.2011.01.040

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  2 in total

1.  Sensitive single-molecule protein quantification and protein complex detection in a microarray format.

Authors:  Lee A Tessler; Robi D Mitra
Journal:  Proteomics       Date:  2011-11-23       Impact factor: 3.984

2.  Simultaneous detection of oseltamivir- and amantadine-resistant influenza by oligonucleotide microarray visualization.

Authors:  Yingjie Zhang; Qiqi Liu; Dou Wang; Suhong Chen; Shengqi Wang
Journal:  PLoS One       Date:  2013-02-22       Impact factor: 3.240

  2 in total

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