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Article
License: CC BY
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Article . 2007 . Peer-reviewed
Data sources: Crossref
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Article . 2007
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Transcriptome and phenotypic analysis reveals Gata3-dependent signalling pathways in murine hair follicles

Authors: J. Hikke van Doorninck; Jacqueline van der Wees; George A. Garinis; Dorota Kurek; Frank Grosveld;

Transcriptome and phenotypic analysis reveals Gata3-dependent signalling pathways in murine hair follicles

Abstract

The transcription factor Gata3 is crucially involved in epidermis and hair follicle differentiation. Yet, little is known about how Gata3 co-ordinates stem cell lineage determination in skin, what pathways are involved and how Gata3 differentially regulates distinct cell populations within the hair follicle. Here, we describe a conditional Gata3-/- mouse(K14-Gata3-/-) in which Gata3 is specifically deleted in epidermis and hair follicles. K14-Gata3-/- mice show aberrant postnatal growth and development, delayed hair growth and maintenance, abnormal hair follicle organization and irregular pigmentation. After the first hair cycle, the germinative layer surrounding the dermal papilla was not restored; instead, proliferation was pronounced in basal epidermal cells. Transcriptome analysis of laser-dissected K14-Gata3-/- hair follicles revealed mitosis, epithelial differentiation and the Notch, Wnt and BMP signaling pathways to be significantly overrepresented. Elucidation of these pathways at the RNA and protein levels and physiologic endpoints suggests that Gata3 integrates diverse signaling networks to regulate the balance between hair follicle and epidermal cell fates.

Country
Netherlands
Related Organizations
Keywords

Keratinocytes, Mice, Knockout, Hyperkeratosis, Epidermolytic, Hyperplasia, Cell Cycle, EMC MGC-02-13-02, Embryonic Development, Mice, Transgenic, GATA3 Transcription Factor, Fibroblast Growth Factors, Mice, Phenotype, Animals, Newborn, Pregnancy, Bone Morphogenetic Proteins, Animals, Keratins, Female, Epidermis, Hair Follicle, Cell Proliferation

  • BIP!
    Impact byBIP!
    citations
    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).
    88
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
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).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
88
Top 10%
Top 10%
Top 10%
hybrid