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dc.contributor.author
Presman, Diego Martin  
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Ball, David A.  
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Paakinaho, Ville  
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Grimm, Jonathan B.  
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Lavis, Luke D.  
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Karpova, Tatiana S.  
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Hager, Gordon L.  
dc.date.available
2018-11-13T21:24:23Z  
dc.date.issued
2017-07  
dc.identifier.citation
Presman, Diego Martin; Ball, David A.; Paakinaho, Ville; Grimm, Jonathan B.; Lavis, Luke D.; et al.; Quantifying transcription factor binding dynamics at the single-molecule level in live cells; Academic Press Inc Elsevier Science; Methods; 123; 7-2017; 76-88  
dc.identifier.issn
1046-2023  
dc.identifier.uri
http://hdl.handle.net/11336/64420  
dc.description.abstract
Progressive, technological achievements in the quantitative fluorescence microscopy field are allowing researches from many different areas to start unraveling the dynamic intricacies of biological processes inside living cells. From super-resolution microscopy techniques to tracking of individual proteins, fluorescence microscopy is changing our perspective on how the cell works. Fortunately, a growing number of research groups are exploring single-molecule studies in living cells. However, no clear consensus exists on several key aspects of the technique such as image acquisition conditions, or analysis of the obtained data. Here, we describe a detailed approach to perform single-molecule tracking (SMT) of transcription factors in living cells to obtain key binding characteristics, namely their residence time and bound fractions. We discuss different types of fluorophores, labeling density, microscope, cameras, data acquisition, and data analysis. Using the glucocorticoid receptor as a model transcription factor, we compared alternate tags (GFP, mEOS, HaloTag, SNAP-tag, CLIP-tag) for potential multicolor applications. We also examine different methods to extract the dissociation rates and compare them with simulated data. Finally, we discuss several challenges that this exciting technique still faces.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Academic Press Inc Elsevier Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
Dna Binding  
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Dynamics  
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Fluorescence Microscopy  
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Glucocorticoid Receptor  
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Single-Molecule Tracking  
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Transcription Factor  
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Otras Ciencias Biológicas  
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Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Quantifying transcription factor binding dynamics at the single-molecule level in live cells  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-10-23T18:09:20Z  
dc.journal.volume
123  
dc.journal.pagination
76-88  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Presman, Diego Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina. National Institutes of Health; Estados Unidos  
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Fil: Ball, David A.. National Institutes of Health; Estados Unidos  
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Fil: Paakinaho, Ville. National Institutes of Health; Estados Unidos  
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Fil: Grimm, Jonathan B.. Howard Hughes Medical Institute; Estados Unidos  
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Fil: Lavis, Luke D.. Howard Hughes Medical Institute; Estados Unidos  
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Fil: Karpova, Tatiana S.. National Institutes of Health; Estados Unidos  
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Fil: Hager, Gordon L.. National Institutes of Health; Estados Unidos  
dc.journal.title
Methods  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.ymeth.2017.03.014  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1046202316304509  
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info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5522764/