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FGF9 controls which receptors it binds to through a process where two FGF9 molecules join, and changes in FGF9 can lead to incorrect receptor activation.

Plakophilin 1 helps control skin cell immune responses to prevent excessive inflammation.

Frontal fibrosing alopecia is a scarring hair loss condition mainly affecting postmenopausal women, with unclear causes.

The 4C32 gene may help in mouse skin development and differentiation.

A genetic mutation in the LIPH gene causes tightly curled hair that stops growing in some Japanese individuals.

Certain gene mutations are linked to wool quality in sheep and could help in breeding for better wool.

Hair loss in male frontal fibrosing alopecia may spare areas covered by a wristwatch.

RALF22 is essential for root hair growth in response to fungal emissions in Arabidopsis.

Korean women with female pattern hair loss have higher levels of ferritin, testosterone, and vitamin D than average.

Patients with the same genetic mutation for vitamin D-resistant rickets showed different symptoms but all improved with treatment except for hair loss.

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The FOS gene helps hair growth in Tan sheep.

Low-coverage sequencing is a cost-effective way to find genetic factors affecting rabbit wool traits.

A gene mutation in mice causes permanent hair loss and skin issues.

KRT85 gene variations can help improve wool traits in sheep through selective breeding.

Scientists made glow-in-the-dark dots from human hair that can detect iron, prevent counterfeiting, and reveal fingerprints.

Frontal Fibrosing Alopecia is a hair loss condition mainly affecting postmenopausal women, with unclear causes and various clinical patterns.

Tofacitinib may be safe and effective for treating certain skin conditions in children.

Keratinocyte Growth Factor-Hair Serum may help prevent hair loss during chemotherapy, but more research is needed.

Excessive sun protection might contribute to frontal fibrosing alopecia.

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Folliculin helps regulate energy and nutrient sensing, impacting Birt–Hogg–Dubé syndrome.

The European School of Oncology organized various educational events in 1994, highlighting important cancer research findings.

Machine learning can predict how well patients with alopecia areata will respond to certain treatments.

MITF+ melanoma patients are more likely to have multiple melanomas and unique skin patterns.

Mutations in the FOXN1 gene cause severe immune issues but don't affect hair and nails.