Hair follicles can be used to quickly assess drug effects in cancer treatment.
3 citations
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November 2022 in “European Journal of Human Genetics” New models predict male pattern baldness better than old ones but still need improvement.
November 2022 in “Journal of Investigative Dermatology” A new tool helps study hair follicle cells to develop better treatments for hair disorders.
24 citations
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November 1997 in “Journal of Biological Chemistry” Mouse high-glycine/tyrosine proteins have distinct patterns in hair follicles, peaking at specific hair cycle days.
July 2026 in “The Journal of Immunology” The study maps immune changes in mice with alopecia areata to better understand and treat the disease in humans.
8 citations
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September 2020 in “Genes & Genomics” 5 citations
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June 2022 in “Biophysical Journal” TGF-β and TNF influence hair follicle cell fate, with TNF being more effective in triggering cell death.
July 2022 in “Research Square (Research Square)” Hair analysis can somewhat track past testosterone levels but is influenced by factors like hair washing, growth rate, sex, and hair color.
173 citations
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August 2015 in “Developmental cell” The study identified unique genes in hair follicle cells and their environment, suggesting these genes help organize cells for hair growth.
September 2024 in “Genes” Genes affect pig hair patterns, aiding better breeding.
May 2005 in “Comparative and Functional Genomics” 1 citations
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October 2010 in “2010 3rd International Conference on Biomedical Engineering and Informatics” The LEF-1 gene in cashmere goats was successfully cloned and analyzed, showing potential for improving cashmere production.
February 2024 in “bioRxiv (Cold Spring Harbor Laboratory)” Tandem repeats significantly influence hair color, especially darker shades, across different ancestries.
38 citations
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November 2005 in “The journal of investigative dermatology. Symposium proceedings/The Journal of investigative dermatology symposium proceedings” Understanding normal hair follicle development helps analyze abnormalities in mutant mice.
December 2020 in “Journal of The American Academy of Dermatology” Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
16 citations
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December 2020 in “PloS one” Researchers found WNT10A to be a key gene in developing goat hair follicles.
2 citations
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June 1994 in “Der Hautarzt” DNA-flowcytometry is a reliable method to evaluate hair growth in androgenetic alopecia.
Social dynamics and individual traits affect hair plucking and health in rhesus macaques.
November 2020 in “Journal of Pharmaceutical Sciences” The decision tree can predict drug absorption issues with good accuracy but needs more validation and adjustments for other factors.
4 citations
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July 2020 in “Journal of proteomics” Hair protein composition is similar across different races and shapes.
January 2026 in “SSRN Electronic Journal”
5 citations
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June 2011 in “PLoS ONE” Mammoth hair grew faster than human hair and showed seasonal changes in growth and mineral content.
1 citations
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February 2016 in “Cell Transplantation” Hair follicles have a more inactive cell cycle than other skin cells, which may help develop targeted therapies for skin diseases and cancer.
6 citations
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March 2007 in “BioTechniques” PCR genotyping in cre-loxP mice can be inaccurate due to unintended gene deletions in non-target tissues.
19 citations
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July 1994 in “Journal of Dermatological Science” Human hair keratin genes are similar to mouse genes and are specifically expressed in hair follicles.
May 2025 in “Frontiers in Genetics” A new genetic variant in the LIPH gene causes hair growth issues in a Chinese patient.
31 citations
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October 2016 in “PLoS ONE” The ubiquitin-mediated proteolysis pathway is crucial for hair follicle development in cashmere goats.
18 citations
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January 2018 in “Advances in experimental medicine and biology” Hair keratins evolved from ancient proteins, diversifying through gene changes, crucial for forming claws and later hair in mammals.
1 citations
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December 2025 in “Scientific Reports” A machine learning model can predict alopecia areata early using specific gene markers.