Literature DB >> 29505156

A Rapid Colorimetric Method to Visualize Protein Interactions.

Bing Liu1,2, Zhihao Wang2, Ling Lan3, Qianfan Yang4, Peipei Zhang1, Lei Shi5, Yunhe Lang5, Aline Tabib-Salazar2, Sivaramesh Wigneshweraraj2, Jiye Zhang1, Yawen Wang1, Yalin Tang3, Steve Matthews2, Xiufeng Zhang5.   

Abstract

As key molecules in most biological pathways, proteins physically contact one or more biomolecules in a highly specific manner. Several driving forces (i.e., electrostatic and hydrophobic) facilitate such interactions and a variety of methods have been developed to monitor these processes both in vivo and in vitro. In this work, a new method is reported for the detection of protein interactions by visualizing a color change of a cyanine compound, a supramolecule complex of 3,3-di-(3-sulfopropyl)-4,5,4',5'-dibenzo-9-methyl-thiacarbocyanine triethylammonium salt (MTC). Nuclear magnetic resonance (NMR) studies suggest that the hydrophobic nature of the protein surfaces drives MTC into different types of aggregates with distinct colors. When proteins interact with other biomolecules, the hydrophobic surface of the complex differs, resulting in a shift in the form of MTC aggregation, which results in a color change. As a result, this in vitro method has the potential to become a rapid tool for the confirmation of protein-biomolecule interactions, without the requirements for sophisticated instrumentation or approaches.
© 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Keywords:  NMR spectroscopy; colorimetry; protein-protein interactions; supramolecular chemistry

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Year:  2018        PMID: 29505156     DOI: 10.1002/chem.201800401

Source DB:  PubMed          Journal:  Chemistry        ISSN: 0947-6539            Impact factor:   5.236


  1 in total

1.  Spontaneous formation and reversible transformation between achiral J- and chiral H-aggregates of cyanine dye MTC.

Authors:  Ai-Jiao Guan; Jing-Tao Zhang; Li-Xia Wang; Jie Cui; Jun-Feng Xiang; Xin Sun; Kuo Chen; Qian Li; Ya-Lin Tang
Journal:  RSC Adv       Date:  2019-04-11       Impact factor: 4.036

  1 in total

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