Literature DB >> 24180305

Method for accurate determination of dissociation constants of optical ratiometric systems: chemical probes, genetically encoded sensors, and interacting molecules.

Adam Pomorski1, Tomasz Kochańczyk, Anna Miłoch, Artur Krężel.   

Abstract

Ratiometric chemical probes and genetically encoded sensors are of high interest for both analytical chemists and molecular biologists. Their high sensitivity toward the target ligand and ability to obtain quantitative results without a known sensor concentration have made them a very useful tool in both in vitro and in vivo assays. Although ratiometric sensors are widely used in many applications, their successful and accurate usage depends on how they are characterized in terms of sensing target molecules. The most important feature of probes and sensors besides their optical parameters is an affinity constant toward analyzed molecules. The literature shows that different analytical approaches are used to determine the stability constants, with the ratio approach being most popular. However, oversimplification and lack of attention to detail results in inaccurate determination of stability constants, which in turn affects the results obtained using these sensors. Here, we present a new method where ratio signal is calibrated for borderline values of intensities of both wavelengths, instead of borderline ratio values that generate errors in many studies. At the same time, the equation takes into account the cooperativity factor or fluorescence artifacts and therefore can be used to characterize systems with various stoichiometries and experimental conditions. Accurate determination of stability constants is demonstrated utilizing four known optical ratiometric probes and sensors, together with a discussion regarding other, currently used methods.

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Year:  2013        PMID: 24180305     DOI: 10.1021/ac402637h

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


  14 in total

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Review 2.  Techniques for measuring cellular zinc.

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Journal:  Nat Methods       Date:  2017-06-05       Impact factor: 28.547

Review 4.  Genetically encoded tools for measuring and manipulating metabolism.

Authors:  Mangyu Choe; Denis V Titov
Journal:  Nat Chem Biol       Date:  2022-04-28       Impact factor: 16.174

5.  MDH1-mediated malate-aspartate NADH shuttle maintains the activity levels of fetal liver hematopoietic stem cells.

Authors:  Hao Gu; Chiqi Chen; Xiaoxin Hao; Ni Su; Dan Huang; Yejun Zou; Shu-Hai Lin; Xianjun Chen; Denghao Zheng; Ligen Liu; Zhuo Yu; Li Xie; Yaping Zhang; Xiaoxiao He; Xiaoyun Lai; Xiaocui Zhang; Guo-Qiang Chen; Yuzheng Zhao; Yi Yang; Joseph Loscalzo; Junke Zheng
Journal:  Blood       Date:  2020-07-30       Impact factor: 22.113

6.  Systematic Comparison of Vesicular Targeting Signals Leads to the Development of Genetically Encoded Vesicular Fluorescent Zn2+ and pH Sensors.

Authors:  Evan P S Pratt; Kelsie J Anson; Justin K Tapper; David M Simpson; Amy E Palmer
Journal:  ACS Sens       Date:  2020-12-11       Impact factor: 7.711

7.  Engineering genetically encoded FRET sensors.

Authors:  Laurens Lindenburg; Maarten Merkx
Journal:  Sensors (Basel)       Date:  2014-07-02       Impact factor: 3.576

8.  Revisiting Mitochondrial pH with an Improved Algorithm for Calibration of the Ratiometric 5(6)-carboxy-SNARF-1 Probe Reveals Anticooperative Reaction with H+ Ions and Warrants Further Studies of Organellar pH.

Authors:  Tomasz Michał Żurawik; Adam Pomorski; Agnieszka Belczyk-Ciesielska; Grażyna Goch; Katarzyna Niedźwiedzka; Róża Kucharczyk; Artur Krężel; Wojciech Bal
Journal:  PLoS One       Date:  2016-08-24       Impact factor: 3.240

Review 9.  The Functions of Metamorphic Metallothioneins in Zinc and Copper Metabolism.

Authors:  Artur Krężel; Wolfgang Maret
Journal:  Int J Mol Sci       Date:  2017-06-09       Impact factor: 5.923

10.  The biological inorganic chemistry of zinc ions.

Authors:  Artur Krężel; Wolfgang Maret
Journal:  Arch Biochem Biophys       Date:  2016-04-23       Impact factor: 4.013

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