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Artículo

Quantifying transcription factor binding dynamics at the single-molecule level in live cells

Presman, Diego MartinIcon ; Ball, David A.; Paakinaho, Ville; Grimm, Jonathan B.; Lavis, Luke D.; Karpova, Tatiana S.; Hager, Gordon L.
Fecha de publicación: 07/2017
Editorial: Academic Press Inc Elsevier Science
Revista: Methods
ISSN: 1046-2023
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ciencias Biológicas

Resumen

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.
Palabras clave: Dna Binding , Dynamics , Fluorescence Microscopy , Glucocorticoid Receptor , Single-Molecule Tracking , Transcription Factor
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Atribución-NoComercial-SinDerivadas 2.5 Argentina (CC BY-NC-ND 2.5 AR)
Identificadores
URI: http://hdl.handle.net/11336/64420
DOI: http://dx.doi.org/10.1016/j.ymeth.2017.03.014
URL: https://www.sciencedirect.com/science/article/pii/S1046202316304509
URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5522764/
Colecciones
Articulos(IFIBYNE)
Articulos de INST.DE FISIOL., BIOL.MOLECULAR Y NEUROCIENCIAS
Citación
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
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