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Laure Plantard

Researcher at Friedrich Miescher Institute for Biomedical Research

Publications -  10
Citations -  509

Laure Plantard is an academic researcher from Friedrich Miescher Institute for Biomedical Research. The author has contributed to research in topics: Connexin & Gene. The author has an hindex of 6, co-authored 9 publications receiving 461 citations. Previous affiliations of Laure Plantard include University Hospital of Lausanne & Karolinska Institutet.

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Identification of SLURP-1 as an epidermal neuromodulator explains the clinical phenotype of Mal de Meleda

TL;DR: It is found that SLURP-1 potentiates the human alpha 7 nicotinic acetylcholine receptors that are present in keratinocytes and is likely to be essential for both epidermal homeostasis and inhibition of TNF-alpha release by macrophages during wound healing.
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PtdIns(3,4,5)P3 is a regulator of myosin-X localization and filopodia formation

TL;DR: The results indicate that PtdIns(3,4,5)P3 binding to the Myo10-PH2 domain is involved in Myosin-X trafficking and regulation of filopodia dynamics.
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SLURP1 Is a Late Marker of Epidermal Differentiation and Is Absent in Mal de Meleda

TL;DR: SLURP1 was found to be a marker of late differentiation, predominantly expressed in the granular layer of skin, notably the acrosyringium, suggesting that a simple immunologic test could be used as a rapid screening procedure.
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Molecular interaction of connexin 30.3 and connexin 31 suggests a dominant-negative mechanism associated with erythrokeratodermia variabilis.

TL;DR: Inhibitor experiments revealed that this interaction begins in the endoplasmic reticulum, which allows a novel molecular explanation for the similarity of EKV phenotypes and provides new insights into epidermal connexin synthesis and polymerization.
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QUAREP-LiMi: A community-driven initiative to establish guidelines for quality assessment and reproducibility for instruments and images in light microscopy

Glyn Nelson, +99 more
TL;DR: The QUAREP-LiMi initiative as mentioned in this paper aims to improve the overall quality and reproducibility of light microscope image data by introducing broadly accepted standard practices and accurately captured image data metrics.