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Timothée Lionnet

Researcher at New York University

Publications -  67
Citations -  6072

Timothée Lionnet is an academic researcher from New York University. The author has contributed to research in topics: Chromatin & Transcription (biology). The author has an hindex of 31, co-authored 62 publications receiving 4879 citations. Previous affiliations of Timothée Lionnet include Yeshiva University & Howard Hughes Medical Institute.

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A general method to improve fluorophores for live-cell and single-molecule microscopy

TL;DR: Inspired by molecular modeling, the N,N-dimethylamino substituents in tetramethylrhodamine are replaced with four-membered azetidine rings, which doubles the quantum efficiency and improves the photon yield of the dye in applications ranging from in vitro single-molecule measurements to super-resolution imaging.
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Single-Molecule Dynamics of Enhanceosome Assembly in Embryonic Stem Cells

TL;DR: In vivo and in vitro single-molecule imaging, transcription factor (TF) mutagenesis, and ChIP-exo mapping are combined to determine how TFs dynamically search for and assemble on their cognate DNA target sites and find that enhanceosome assembly is hierarchically ordered.
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A transgenic mouse for in vivo detection of endogenous labeled mRNA

TL;DR: This work generated a knock-in mouse line with an MS2 binding site (MBS) cassette targeted to the 3′ untranslated region of the essential ββ-actin gene, enabling live-cell imaging of single endogenous labeled mRNA molecules transcribed in primary mammalian cells and tissue.
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Bright photoactivatable fluorophores for single-molecule imaging

TL;DR: This work refine and extend the utility of small, cell-permeable fluorophores by synthesizing photoactivatable derivatives that are compatible with live-cell labeling strategies, enabling improved single-particle tracking and facile localization microscopy experiments.
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Real-time quantification of single RNA translation dynamics in living cells

TL;DR: NCT, a technique that uses multi-epitope tags and antibody-based fluorescent probes to quantify protein synthesis dynamics at the single-mRNA level, reveals the stochastic nature of single mRNA translation.