32 citations
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August 2016 in “Science Signaling” Alopecia areata patients show unique protein activity patterns, suggesting imbalanced signaling pathways.
27 citations
,
June 2005 in “The journal of investigative dermatology/Journal of investigative dermatology” The study found that variations in hair protein genes are likely due to evolutionary deletions or duplications.
29 citations
,
August 2011 in “PubMed” Hair and nail proteins, mainly keratins, are crucial for structure and can indicate health issues.
43 citations
,
December 2020 in “PLOS Genetics” New method finds genetic links between Type 2 Diabetes and Prostate Cancer not seen before.
83 citations
,
May 2011 in “Experimental Dermatology” Sheep have 17 keratin genes, similar to humans, but with different expression patterns affecting wool and hair.
1 citations
,
January 2015 in “China Animal Husbandry & Veterinary Medicine” Four keratin genes are crucial for hair growth in Xinji fine wool sheep.
72 citations
,
August 2014 in “Genome Biology and Evolution” Feather diversity is due to different keratin gene combinations, and chickens can help study human keratin diseases.
58 citations
,
July 2005 in “Molecular and Cellular Biology” A specific gene segment can make mouse skin cells glow, helping study hair growth and gene effects.
4 citations
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December 1995 in “Anthropologischer Anzeiger” Family members have similar hair protein patterns, which could be useful for genetic studies.
51 citations
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September 2012 in “Gene” The research identified a gene in sheep important for wool quality, which could help improve wool traits.
BLTP1 and KIF27 gene mutations can help breed better wool sheep.
6 citations
,
January 2022 in “Gene” Scientists found 53 keratin genes in yaks that are important for hair growth and share similarities with those in other animals.
4 citations
,
April 2019 in “Gynecological Endocrinology” Certain gene variations are found in people with polycystic ovary syndrome.
1 citations
,
April 2021 in “IntechOpen eBooks” The PCR technique can identify genetic differences in a wool-related gene among different sheep breeds, which may help improve wool and pelt quality.
19 citations
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April 1999 in “British Journal of Dermatology” Keratin 2e shows a unique pattern in developing fetal skin, different from other keratins.
June 2020 in “The journal of investigative dermatology/Journal of investigative dermatology” A mutation in the KRT82 gene is significantly associated with Alopecia Areata.
10 citations
,
January 1989 in “Archives of Dermatological Research” The method effectively analyzes human hair proteins, especially nonfilamentous ones.
October 2021 in “bioRxiv (Cold Spring Harbor Laboratory)” The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.
15 citations
,
January 1993 in “DNA sequence” KRT2.13 gene is similar to KRT2.9 but not expressed in hair follicles.
1 citations
,
September 1986 in “Journal of the Forensic Science Society” Hair root sheaths can be used to accurately analyze genetic markers.
79 citations
,
June 1993 in “Molecular and Cellular Biology” The K5 promoter controls gene expression in skin cells, with specific DNA segments crucial for targeting and regulation.
30 citations
,
May 2020 in “Forensic Science International Genetics” The method improved hair analysis for better forensic identification.
2 citations
,
May 2022 in “Research Square (Research Square)” KGF-1 135 is a stable and effective alternative for treating oral mucositis.
22 citations
,
January 2020 in “PeerJ” Keratin peptides in hair might help identify gender and ethnicity.
65 citations
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September 2014 in “BMC genomics” Different hair types in mammals are linked to variations in specific protein genes, with changes influenced by their living environments.
2 citations
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January 2010 35 citations
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September 1994 in “Journal of Investigative Dermatology” 5 citations
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October 2023 in “Forests” Ginkgo biloba has high genetic diversity, useful for future breeding.
13 citations
,
October 2010 in “Pharmacogenomics” Researchers found that most genes affecting drug responses are not fully covered by commercial SNP chips, suggesting the need for more comprehensive tools to optimize drug selection based on genetics.