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Davide Mazza

Researcher at Vita-Salute San Raffaele University

Publications -  68
Citations -  2504

Davide Mazza is an academic researcher from Vita-Salute San Raffaele University. The author has contributed to research in topics: Transcription factor & Chromatin. The author has an hindex of 22, co-authored 62 publications receiving 2034 citations. Previous affiliations of Davide Mazza include University of Genoa & National Institutes of Health.

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A benchmark for chromatin binding measurements in live cells.

TL;DR: The model that p53 locates specific sites by first binding at sequence-independent sites is supported, and all three approaches yield similar estimates for both the fraction of p53 molecules bound to chromatin and the residence time of these bound molecules.
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Steroid Receptors Reprogram FoxA1 Occupancy through Dynamic Chromatin Transitions.

TL;DR: It is shown that ER and GR both have the ability to alter the genomic distribution of the FoxA1 pioneer factor, which supports a model wherein interactions between transcription factors and pioneer factors are highly dynamic.
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FRAP and kinetic modeling in the analysis of nuclear protein dynamics: what do we really know?

TL;DR: For confidence and accuracy, gold standards for the measurement of in vivo binding must be established by extensive cross validation using both different experimental methods and different kinetic modeling procedures.
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Single-molecule analysis of transcription factor binding at transcription sites in live cells

TL;DR: It is shown that at endogenous REs, the transcriptionally productive specific binding of p53 and of the glucocorticoid receptor (GR) is transient and residence times are found roughly comparable to that of endogenous GR REs at an artificial, multi-copy array of gene regulatory sites, supporting the use of multi- copy arrays for live-cell analysis of transcription.
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Direct measurement of association and dissociation rates of DNA binding in live cells by fluorescence correlation spectroscopy

TL;DR: A new procedure to extract information about binding to an immobile substrate from fluorescence correlation spectroscopy (FCS) autocorrelation data is developed and applied to evaluate the efficacy of a potential anticancer drug that inhibits DNA binding of VBP in vitro and finds that in vivo the drug inhibitsDNA binding in only a subset of cells.