Journal of Investigative Dermatology
Article
License: Elsevier Non-Commercial
Data sources: UnpayWall
Journal of Investigative Dermatology
Article . 2012
License: Elsevier Non-Commercial
Data sources: BASE (Open Access Aggregator)
Journal of Investigative Dermatology
Article . 2012 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
Filaggrin Degradation by Caspase-14 Is Required for UVB Photoprotection but Does Not Influence Allergic Sensitization in a Mouse Model of Atopic Dermatitis
Authors: Devos, Michael; Prawitt, Janne; Staumont-Salle, Delphine; Hoste, Esther; Fleury, Sebastién; Bouchaert, Emmanuel; Gilbert, Barbara; +4 Authors
Devos, Michael; Prawitt, Janne; Staumont-Salle, Delphine; Hoste, Esther; Fleury, Sebastién; Bouchaert, Emmanuel; Gilbert, Barbara; Lippens, Saskia; Vandenabeele, Peter; Dombrowicz, David; Declercq, Wim;
doi: 10.1038/jid.2012.236
pmid: 22931922
Filaggrin Degradation by Caspase-14 Is Required for UVB Photoprotection but Does Not Influence Allergic Sensitization in a Mouse Model of Atopic Dermatitis
Related Organizations
- Ghent University Belgium
- Institut Pasteur France
- University of Lille France
- Pasteur Institute of Lille France
Keywords
Ultraviolet Rays, Cell Biology, Dermatology, Filaggrin Proteins, Biochemistry, Dermatitis, Atopic, Disease Models, Animal, Mice, Intermediate Filament Proteins, Caspases, Hypersensitivity, Animals, Molecular Biology, Skin
Ultraviolet Rays, Cell Biology, Dermatology, Filaggrin Proteins, Biochemistry, Dermatitis, Atopic, Disease Models, Animal, Mice, Intermediate Filament Proteins, Caspases, Hypersensitivity, Animals, Molecular Biology, Skin
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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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Top 10%
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