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Nicolas Buisine

Researcher at Centre national de la recherche scientifique

Publications -  20
Citations -  386

Nicolas Buisine is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Gene & Regulation of gene expression. The author has an hindex of 8, co-authored 20 publications receiving 295 citations.

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Mechanisms of thyroid hormone receptor action during development: lessons from amphibian studies.

TL;DR: Findings from studies on amphibian metamorphosis are very likely applicable to mammalian development as well and provide a new perspective for understanding the diverse effects of TH in normal physiology and diseases caused by TH dysfunction.
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The thyroid hormone receptor β induces DNA damage and premature senescence

TL;DR: Thyroid hormone and its receptor act in concert with NRF1 to increase cellular respiration and reactive oxygen species production, leading to DNA damage and premature senescence in susceptible cells.
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Deciphering the regulatory logic of an ancient, ultraconserved nuclear receptor enhancer module.

TL;DR: The findings support that the KSM plays a central role in hormone regulation of vertebrate Klf9 genes, it evolved in the tetrapod lineage, and has been maintained by strong stabilizing selection.
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Specific histone lysine 4 methylation patterns define TR-binding capacity and differentiate direct T3 responses.

TL;DR: This first in vivo analysis of the association of histone modifications and TR binding/gene activation during vertebrate development for any nuclear receptor indicate that chromatin context of thyroid-responsive elements loci controls the capacity to bind TR through variations in histone H3K4 methylation, and that the histone code contributes to the fine tuning of gene expression that underlies complex physiological T(3) responses.
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Xenopus tropicalis Genome Re-Scaffolding and Re-Annotation Reach the Resolution Required for In Vivo ChIA-PET Analysis

TL;DR: This work improves the quality of Xenopus tropicalis genomic resources, reaching the standard required for ChIA-PET analysis of transcriptional networks, and considers that the workflow proposed offers useful conceptual and methodological guidance and can readily be applied to other non-conventional models that have low-resolution genome data.