Oil-producing sebaceous glands (SGs), attached to the upper/ middle portion of hair follicles, are indispensable for maintaining skin hydration, and their dysfunction leads to dry skin. However, the molecular mechanisms underlying regulation of SG stem cells remain largely unknown. We identified transcription factor KROX20 as a marker of SG stem cells that sustains their stemness throughout SG morphogenesis and homeostasis. We developed an inducible mouse model in which ablation of KROX20-positive cells causes SG loss and rapidly and robustly induces dry, flaky, alopecia symptoms following induction. This model, termed Xeroflacia (Xero = xerosis, fla = flaky, cia = alopecia), provides a tool for studying the biology of dry skin. Furthermore, we found that KROX20 directly regulates Notch1 transcription to orchestrate the balance between SG stem cell self-renewal and differentiation. Small molecule drug modulation of Notch1 signaling to activate or inhibit the pathway enabled us to regulate SG differentiation to maintain skin oil levels, providing a proof-of-principle that other signaling pathways downstream of Krox20 could be potential therapeutic targets for sebaceous gland-related diseases.
Yumeng Zhang, Pernelle Pulh, Michelle F. Pan, Yi He, Juanzhu Yan, Annie Li, Renée M. McKay, Lu Q. Le
Usage data is cumulative from September 2026 through September 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 46 | 0 |
| 25 | 0 | |
| Supplemental data | 75 | 0 |
| Citation downloads | 12 | 0 |
| Totals | 158 | 0 |
| Total Views | 158 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.