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      Optimal fluorescent protein tags for quantifying protein oligomerization in living cells

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          Abstract

          Fluorescence fluctuation spectroscopy has become a popular toolbox for non-disruptive analysis of molecular interactions in living cells. The quantification of protein oligomerization in the native cellular environment is highly relevant for a detailed understanding of complex biological processes. An important parameter in this context is the molecular brightness, which serves as a direct measure of oligomerization and can be easily extracted from temporal or spatial fluorescence fluctuations. However, fluorescent proteins (FPs) typically used in such studies suffer from complex photophysical transitions and limited maturation, inducing non-fluorescent states. Here, we show how these processes strongly affect molecular brightness measurements. We perform a systematic characterization of non-fluorescent states for commonly used FPs and provide a simple guideline for accurate, unbiased oligomerization measurements in living cells. Further, we focus on novel red FPs and demonstrate that mCherry2, an mCherry variant, possesses superior properties with regards to precise quantification of oligomerization.

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          Most cited references46

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          Metadata matters: access to image data in the real world

          Data sharing is important in the biological sciences to prevent duplication of effort, to promote scientific integrity, and to facilitate and disseminate scientific discovery. Sharing requires centralized repositories, and submission to and utility of these resources require common data formats. This is particularly challenging for multidimensional microscopy image data, which are acquired from a variety of platforms with a myriad of proprietary file formats (PFFs). In this paper, we describe an open standard format that we have developed for microscopy image data. We call on the community to use open image data standards and to insist that all imaging platforms support these file formats. This will build the foundation for an open image data repository.
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            Near-infrared fluorescent proteins for multicolor in vivo imaging

            Near-infrared fluorescent proteins are in high demand for in vivo imaging. We developed four spectrally distinct fluorescent proteins, iRFP670, iRFP682, iRFP702, and iRFP720, from bacterial phytochromes. iRFPs exhibit high brightness in mammalian cells and tissues and are suitable for long-term studies. iRFP670 and iRFP720 enable two-color imaging in living cells and mice using standard approaches. Five iRFPs including previously engineered iRFP713 allow multicolor imaging in living mice with spectral unmixing.
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              Anomalous subdiffusion is a measure for cytoplasmic crowding in living cells.

              Macromolecular crowding dramatically affects cellular processes such as protein folding and assembly, regulation of metabolic pathways, and condensation of DNA. Despite increased attention, we still lack a definition for how crowded a heterogeneous environment is at the molecular scale and how this manifests in basic physical phenomena like diffusion. Here, we show by means of fluorescence correlation spectroscopy and computer simulations that crowding manifests itself through the emergence of anomalous subdiffusion of cytoplasmic macromolecules. In other words, the mean square displacement of a protein will grow less than linear in time and the degree of this anomality depends on the size and conformation of the traced particle and on the total protein concentration of the solution. We therefore propose that the anomality of the diffusion can be used as a quantifiable measure for the crowdedness of the cytoplasm at the molecular scale.
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                Author and article information

                Contributors
                chiantia@uni-potsdam.de
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                13 July 2018
                13 July 2018
                2018
                : 8
                : 10634
                Affiliations
                [1 ]ISNI 0000 0001 0942 1117, GRID grid.11348.3f, Institute of Biochemistry and Biology, , University of Potsdam, ; Karl-Liebknecht-Str. 24-25, 14476 Potsdam, Germany
                [2 ]ISNI 0000 0001 2248 7639, GRID grid.7468.d, Institute for Biology, IRI Life Sciences, , Humboldt-Universität zu Berlin, ; Invalidenstraße 42, 10115 Berlin, Germany
                Author information
                http://orcid.org/0000-0002-6716-2026
                Article
                28858
                10.1038/s41598-018-28858-0
                6045628
                30006597
                beae444a-315e-4236-9f16-d1d444b27406
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 14 May 2018
                : 2 July 2018
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