Probing redox proteins on a gold surface by single molecule fluorescence spectroscopy

Elmalk, Abdalmohsen T.; Salverda, Jante M.; Tabares, Leandro C.; Canters, Gerard W.; Aartsma, Thijs J.

doi:10.1063/1.4728107

Cited by 12 publications

(11 citation statements)

References 67 publications

(101 reference statements)

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“…Erker, Basché, and coworkers used this strategy to study oxygen binding by binuclear copper protein hemocyanin (108, 109). Aartsman, Canters, Schmidt and coworkers used this strategy to probe the redox states of blue copper protein azurin (110, 111). Takahashi and coworkers used it to study the folding dynamics of cytochrome c (112).…”

Section: Related Single-molecule Bioinorganic Workmentioning

confidence: 99%

Single-Molecule Dynamics and Mechanisms of Metalloregulators and Metallochaperones

et al. 2013

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Understanding how cells regulate and transport metal ions is an important goal in the field of bioinorganic chemistry, a frontier research area that resides at the interfaces of chemistry and biology. This Current Topics article reviews recent advances from the authors' group in using single-molecule fluorescence imaging techniques to identify the mechanisms of metal homeostatic proteins, including metalloregulators and metallochaperones. It emphasizes the novel mechanistic insights into how dynamic protein–DNA and protein–protein interactions offer efficient pathways for MerR-family metalloregulators and copper chaperones to fulfill their functions. The article also summarizes other related single-molecule studies of bioinorganic systems, and gives an outlook toward single-molecule imaging of metalloprotein functions in living cells.

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Section: Related Single-molecule Bioinorganic Workmentioning

confidence: 99%

Single-Molecule Dynamics and Mechanisms of Metalloregulators and Metallochaperones

et al. 2013

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“…[5][6][7][8] Indeed, observing the inverse of Avogadro's number (1.66 Â 10 À24 mol) is crucially important to investigate nano/bio systems exhibiting nano-environmentdependent specificity. [9][10][11] These days, SMS is extensively used in the broad range of applications such as identifying unknown molecules, [12][13][14] probing the structural change in a single molecule during time-dependent dynamic processes, [15][16][17] tracking a single molecule in a live cell, [18][19][20][21] and revealing the kinetics of conformational changes in biomolecules under physiological conditions. 4,[22][23][24][25][26][27][28][29][30] In contrast, the physical parameter in ensemble measurements is averaged out in the presence of multiple simultaneous events.…”

mentioning

confidence: 99%

Single-molecule surface-enhanced Raman spectroscopy: a perspective on the current status

Lee

Jin

Kim

et al. 2013

Phys. Chem. Chem. Phys.

104

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This perspective presents an overview of single-molecule surface-enhanced Raman scattering (sm-SERS). Our overview is organized as a brief theoretical background, discussion of the factors that enhance SERS, various experimental preparations for inserting a single molecule in a hot spot, recent sm-SERS experiments, and a perspective. Although, there have been numerous review papers on sm-SERS, we mainly concentrated on the logical development of sm-SERS on the basis of the fundamental concepts and their physical significance, so that readers outside this field can understand the motivation and the underlying physics when describing current sm-SERS measurements. Indeed, understanding such current sm-SERS experiments conducted by representative groups would be very helpful for readers to answer for themselves the fundamental and practical questions surrounding sm-SERS: (1) what information can sm-SERS provide? (2) Which factors based on the SERS mechanism should be considered to significantly amplify the SERS signal? (3) What kinds of related microscopy techniques could be combined with sm-SERS to attain more meaningful results? (4) Which statistical approaches can be used and how they can be applied to properly analyze sm-SERS data? We hope that this review article can help readers answer these questions.

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“…Practical interest is also increasing in these processes due to improvements in single molecule detection. [30][31][32][33][34][35] Therefore, the objective of this article is to develop stochastic maps for first order reaction networks. General strategies toward building these maps will be illustrated by a number of specific examples involving particularly important reaction schemes.…”

Section: Introductionmentioning

confidence: 99%

Stochastic mapping of first order reaction networks: A systematic comparison of the stochastic and deterministic kinetic approaches

Lente

2012

The Journal of Chemical Physics

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Stochastic maps are developed and used for first order reaction networks to decide whether the deterministic kinetic approach is appropriate for a certain evaluation problem or the use of the computationally more demanding stochastic approach is inevitable. On these maps, the decision between the two approaches is based on the standard deviation of the expectation of detected variables: when the relative standard deviation is larger than 1%, the use of the stochastic method is necessary. Four different systems are considered as examples: the irreversible first order reaction, the reversible first order reaction, two consecutive irreversible first order reactions, and the unidirectional triangle reaction. Experimental examples are used to illustrate the practical use of the theoretical results. It is shown that the maps do not only depend on particle numbers, but the influence of parameters such as time, rate constants, and the identity of the detected target variable is also an important factor.

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Probing redox proteins on a gold surface by single molecule fluorescence spectroscopy

Cited by 12 publications

References 67 publications

Single-Molecule Dynamics and Mechanisms of Metalloregulators and Metallochaperones

Single-Molecule Dynamics and Mechanisms of Metalloregulators and Metallochaperones

Single-molecule surface-enhanced Raman spectroscopy: a perspective on the current status

Stochastic mapping of first order reaction networks: A systematic comparison of the stochastic and deterministic kinetic approaches

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