The transcription factor nuclear factor-kappa B (NF-κB) plays an essential role in epidermal appendage induction and morphogenesis. In the epidermis of mice lacking NF-κB activity, initiation of primary hair follicle pre-placode formation is observed, but these primitive structures fail to proliferate and generate placodes. NF-κB signaling is known to modulate activity of WNT and SHH signaling at early stages of hair follicle development, but these roles do not fully account for the phenotypes observed when this pathway is blocked. To identify additional NF-κB target genes we developed a novel method to isolate and transcriptionally profile primary hair follicle placodes with active NF-κB signaling. In parallel, we compared gene expression at the same developmental stage in embryos with compromised NF-κB signaling, and wild type littermate controls. In addition to corroborating established NF-κB functions, these analyses uncovered novel NF-κB target genes with potential roles in priming hair follicle placodes for down-growth. Of particular interest, we identify the LIM/homeobox transcription factor LHX2 as a direct NF-κB target gene in this system, and show that loss of LHX2 replicates a subset of the phenotypes seen in embryos with reduced NF-κB signaling. LHX2 and TGFβ2 knockout embryos exhibit very similar abnormalities in hair follicle development, including failure of E-cadherin suppression that is required for follicle down-growth. Consistent with this, we find that TGFβ2 signaling is deficient in embryos with either inhibited NF-κB signaling or loss of LHX2. Furthermore, although TGFβ2 is not a direct LHX2 target gene, we find that exogenous TGFβ2 rescues the hair follicle phenotypes of LHX2 knockout skin explants, indicating that it operates downstream of LHX2. These findings identify a novel NF-κB-LHX2-TGFβ2 signaling axis that is critical for primary hair follicle morphogenesis and may function more broadly in development and disease.
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 May 2016.
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