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Referencias:

• McNally, J.G., Müller, W.G., Walker, D., Wolford, R., Hager, G.L., The glucocorticoid receptor: Rapid exchange with regulatory sites in living cells (2000) Science, 287, pp. 1262-1265
• Gebhardt, J.C.M., Single-molecule imaging of transcription factor binding to DNA in live mammalian cells (2013) Nat. Methods, 10, pp. 421-426
• Mueller, F., Wach, P., McNally, J.G., Evidence for a common mode of transcription factor interaction with chromatin as revealed by improved quantitative fluorescence recovery after photobleaching (2008) Biophys. J, 94, pp. 3323-3339
• Morisaki, T., Müller, W.G., Golob, N., Mazza, D., McNally, J.G., Single-molecule analysis of transcription factor binding at transcription sites in live cells (2014) Nat. Commun, 5, p. 4456
• Chen, J., Single-molecule dynamics of enhanceosome assembly in embryonic stem cells (2014) Cell, 156, pp. 1274-1285
• Mazza, D., Abernathy, A., Golob, N., Morisaki, T., McNally, J.G., A benchmark for chromatin binding measurements in live cells (2012) Nucleic Acids Res, 40
• Sugo, N., Single-molecule imaging reveals dynamics of CREB transcription factor bound to its target sequence (2015) Sci. Rep, 5, p. 10662
• Speil, J., Activated STAT1 transcription factors conduct distinct saltatory movements in the cell nucleus (2011) Biophys. J, 101, pp. 2592-2600
• Liu, Z., 3D imaging of Sox2 enhancer clusters in embryonic stem cells (2014) Elife, 3
• Izeddin, I., Single-molecule tracking in live cells reveals distinct target-search strategies of transcription factors in the nucleus (2014) Elife, 3
• Zhao, Z.W., White, M.D., Bissiere, S., Levi, V., Plachta, N., Quantitative imaging of mammalian transcriptional dynamics: From single cells to whole embryos (2016) BMC Biol, 14, p. 115
• Hager, G.L., McNally, J.G., Misteli, T., Transcription dynamics (2009) Mol. Cell, 35, pp. 741-753
• Voss, T.C., Hager, G.L., Dynamic regulation of transcriptional states by chromatin and transcription factors (2014) Nat. Rev. Genet, 15, pp. 69-81
• Coleman, R.A., Imaging transcription: Past, present, and future (2015) Cold Spring Harb. Symp. Quant. Biol, 80, pp. 1-8
• Darzacq, X., Imaging transcription in living cells (2009) Annu. Rev. Biophys, 38, pp. 173-196
• Magde, D., Elson, E., Webb, W.W., Thermodynamic fluctuations in a reacting system-measurement by fluorescence correlation spectroscopy (1972) Phys. Rev. Lett, 29, pp. 705-708
• Elson, E.L., Fluorescence correlation spectroscopy: Past, present, future (2011) Biophys. J, 101, pp. 2855-2870
• Machánˇ, R., Wohland, T., Recent applications of fluorescence correlation spectroscopy in live systems (2014) FEBS Lett, 588, pp. 3571-3584
• Digman, M.A., Gratton, E., Lessons in fluctuation correlation spectroscopy (2011) Annu. Rev. Phys. Chem, 62, pp. 645-668
• Weidemann, T., Mücksch, J., Schwille, P., Fluorescence fluctuation microscopy: A diversified arsenal of methods to investigate molecular dynamics inside cells (2014) Curr. Opin. Struct. Biol, 28, pp. 69-76
• Bacia, K., Schwille, P., Practical guidelines for dual-color fluorescence cross-correlation spectroscopy (2007) Nat. Protoc, 2, pp. 2842-2856
• Krieger, J.W., Imaging fluorescence (Cross-) correlation spectroscopy in live cells and organisms (2015) Nat. Protoc, 10, pp. 1948-1974
• Rossow, M.J., Sasaki, J.M., Digman, M.A., Gratton, E., Raster image correlation spectroscopy in live cells (2010) Nat. Protoc, 5, pp. 1761-1774
• Weidemann, T., Application of fluorescence correlation spectroscopy (FCS) to measure the dynamics of fluorescent proteins in living cells (2014) Fluorescence Spectroscopy and Microscopy: Methods and Protocols, pp. 539-555. , (eds. Engelborghs, Yves & Visser, Antonie J.W.G., Humana Press
• Biggin, M.D., Animal transcription networks as highly connected, quantitative continua (2011) Dev. Cell, 21, pp. 611-626
• Patterson, G.H., Lippincott-Schwartz, J., A photoactivatable GFP for selective photolabeling of proteins and cells (2002) Science, 297, pp. 1873-1877
• Kaur, G., Probing transcription factor diffusion dynamics in the living mammalian embryo with photoactivatable fluorescence correlation spectroscopy (2013) Nat. Commun, 4, p. 1637
• White, M.D., Long-lived binding of Sox2 to DNA predicts cell fate in the four-cell mouse embryo (2016) Cell, 165, pp. 75-87
• Zhao, Z.W., Gebhardt, J.C.M., Suter, D.M., Xie, X.S., Reply to ‘Convergence of chromatin binding estimates in live cells’ (2013) Nat. Methods, 10, 692p
• Wang, Y., Wang, X., Wohland, T., Sampath, K., Extracellular interactions and ligand degradation shape the nodal morphogen gradient (2016) Elife, 5
• Yu, S.R., Fgf8 morphogen gradient forms by a source-sink mechanism with freely diffusing molecules (2009) Nature, 461, pp. 533-536
• Shi, X., Determination of dissociation constants in living zebrafish embryos with single wavelength fluorescence cross-correlation spectroscopy (2009) Biophys. J, 97, pp. 678-686
• Capoulade, J., Wachsmuth, M., Hufnagel, L., Knop, M., Quantitative fluorescence imaging of protein diffusion and interaction in living cells (2011) Nat. Biotech, 29, pp. 835-839
• Wohland, T., Shi, X., Sankaran, J., Stelzer, E.H.K., Single plane illumination fluorescence correlation spectroscopy (SPIM-FCS) probes inhomogeneous three-dimensional environments (2010) Opt. Express, 18, pp. 10627-10641
• Digman, M.A., Measuring fast dynamics in solutions and cells with a laser scanning microscope (2005) Biophys. J, 89, pp. 1317-1327
• Digman, M.A., Gratton, E., Imaging barriers to diffusion by pair correlation functions (2009) Biophys. J, 97, pp. 665-673
• Ries, J., Chiantia, S., Schwille, P., Accurate determination of membrane dynamics with line-scan FCS (2009) Biophys. J, 96, pp. 1999-2008
• Pantazis, P., González-Gaitán, M., Localized multiphoton photoactivation of paGFP in Drosophila wing imaginal discs (2007) J. Biomed. Opt, 12
• Plachta, N., Bollenbach, T., Pease, S., Fraser, S.E., Pantazis, P., Oct4 kinetics predict cell lineage patterning in the early mammalian embryo (2011) Nat. Cell Biol, 13, pp. 117-123
• Wang, S., Moffitt, J.R., Dempsey, G.T., Xie, X.S., Zhuang, X., Characterization and development of photoactivatable fluorescent proteins for single-molecule–based superresolution imaging (2014) Proc. Natl. Acad. Sci. USA, 111, pp. 8452-8457
• Mohr, M.A., Argast, P., Pantazis, P., Labeling cellular structures in vivo using confined primed conversion of photoconvertible fluorescent proteins (2016) Nat. Protoc, 11, pp. 2419-2431
• Rigler, R., Mets, Ü., Widengren, J., Kask, P., Fluorescence correlation spectroscopy with high count rate and low background: Analysis of translational diffusion (1993) Eur. Biophys. J, 22, pp. 169-175
• Widengren, J., Mets, Ü., Rigler, R., Photodynamic properties of green fluorescent proteins investigated by fluorescence correlation spectroscopy (1999) Chem. Phys, 250, pp. 171-186
• Halford, S.E., Marko, J.F., How do site-specific DNA-binding proteins find their targets? (2004) Nucleic Acids Res, 32, pp. 3040-3052
• Michelman-Ribeiro, A., Direct measurement of association and dissociation rates of DNA binding in live cells by fluorescence correlation spectroscopy (2009) Biophys. J, 97, pp. 337-346
• Elson, E.L., Brief introduction to fluorescence correlation spectroscopy (2013) Methods in Enzymology, 518, pp. 11-41. , (ed. Tetin, S.Y., Academic Press
• Sobell, H.M., Actinomycin and DNA transcription (1985) Proc. Natl. Acad. Sci. USA, 82, pp. 5328-5331
• Yoshida, M., Horinouchi, S., Beppu, T., Trichostatin A and trapoxin: Novel chemical probes for the role of histone acetylation in chromatin structure and function (1995) Bio Essays, 17, pp. 423-430
• Behringer, R., Gertsenstein, M., Nagy, K.V., Nagy, A., (2014) Manipulating the Mouse Embryo: A Laboratory Manual, , Cold Spring Harbor Laboratory Press
• Müller, P., Schwille, P., Weidemann, T., PyCorrFit—generic data evaluation for fluorescence correlation spectroscopy (2014) Bioinformatics, 30, pp. 2532-2533
• Ries, J., Automated suppression of sample-related artifacts in fluorescence correlation spectroscopy (2010) Opt. Express, 18, pp. 11073-11082
• Beechem, J.M., Global analysis of biochemical and biophysical data (1992) Methods Enzymol, 210, pp. 37-54. , Academic Press
• Wachsmuth, M., Waldeck, W., Langowski, J., Anomalous diffusion of fluorescent probes inside living cell nuclei investigated by spatially-resolved fluorescence correlation spectroscopy (2000) J. Mol. Biol, 298, pp. 677-689
• He, J., Guo, S.-M., Bathe, M., Bayesian approach to the analysis of fluorescence correlation spectroscopy data I: Theory (2012) Anal. Chem, 84, pp. 3871-3879
• Sun, G., Bayesian model selection applied to the analysis of fluorescence correlation spectroscopy data of fluorescent proteins in vitro and in vivo (2015) Anal. Chem, 87, pp. 4326-4333
• Schwille, P., Bieschke, J., Oehlenschläger, F., Kinetic investigations by fluorescence correlation spectroscopy: The analytical and diagnostic potential of diffusion studies (1997) Biophys. Chem, 66, pp. 211-228

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