research A comparative study of histopathologic features in alopecia areata and pattern hair loss
The study found certain scalp biopsy features can help tell apart alopecia areata from pattern hair loss even when typical immune cells are not seen.
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research Tracing selection signatures in the pig genome gives evidence for selective pressures on a unique curly hair phenotype in Mangalitza
Selective breeding caused the unique curly hair in Mangalitza pigs.
research A Simple Decision Tree Suited for Identification of Early Oral Drug Candidates With Likely Pharmacokinetic Nonlinearity by Intestinal CYP3A Saturation
The decision tree can predict drug absorption issues with good accuracy but needs more validation and adjustments for other factors.
research Isozyme phenotypes of polyoma virus tumors in mice.
DNA virus-induced tumors have consistent isozyme profiles, unlike other tumor types.
research sm“FISH”ing for Hedgehog
Hedgehog signaling controls hair follicle development and can affect skin cancer growth.
research Transcriptome Profiling and Differential Gene Expression in Canine Microdissected Anagen and Telogen Hair Follicles and Interfollicular Epidermis
Different genes are active in dogs' hair growth and skin, similar to humans, which helps understand dog skin and hair diseases and can relate to human conditions.
research Study of Hair Patterns of species of Muridae Family from Amravati District, Maharashtra.
Muridae species have unique hair patterns specific to each genus and species.
research Perspectives on Hair Evolution Based on Some Comparative Studies on Vertebrate Cornification
Hair in mammals likely evolved from glandular structures, not scales.
research Use of genetics in the prediction of success in male pattern hair loss therapy and mechanistic studies
Genetics can help tailor treatments for male pattern hair loss, improving outcomes like stabilization or modest regrowth.
research Inherited Disorders of the Hair
The study concluded that genetic mutations affect human hair diseases and identified key genes and pathways involved in hair growth and cycling.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
research 83 Transcriptomic meta-analysis and deconvolution approaches unveil cellular dynamics in scarring and non-scarring primary lymphocytic alopecias
research Deletion analysis of AGD1 reveals domains crucial for its plasma membrane recruitment and function in root hair polarity
AGD1's PH domain is essential for its role in root hair growth and polarity.
research Haarwuchsmittel bei androgenetischer Alopezie
DNA-flowcytometry is a reliable method to evaluate hair growth in androgenetic alopecia.
research No difference in the proteome of racially and geometrically classified scalp hair sample from a South African cohort: Preliminary findings
Hair protein composition is similar across different races and shapes.
research The cDNA-deduced amino acid sequence for trichohyalin, a differentiation marker in the hair follicle, contains a 23 amino acid repeat.
Trichohyalin, a hair follicle protein, has a part with repeating patterns of 23 amino acids.
research A Rapid Extraction Procedure of Human Hair Proteins and Identification of Phosphorylated Species.
A new method quickly extracts and identifies proteins from hair and other keratin sources.
research Integration of Point-of-Care Technology in the Decoding Process of Single Nucleotide Polymorphism for Healthcare Application †
Portable point-of-care testing can improve quick and accurate genetic disorder detection.
research Characteristics of stable isotope signature of diet in tissues of captive Japanese macaques as revealed by controlled feeding
More research is needed to understand how diet affects isotope signatures in Japanese macaque tissues.
research A HPLC-Based Chloramphenicol Acetyltransferase Assay for Assessing Hair Growth: Comparison of the Sensitivity of UV and Fluorescence Detection
The new method is 1000 times more sensitive for measuring hair growth.
research High-coverage genome of the Tyrolean Iceman reveals unusually high Anatolian farmer ancestry
The Tyrolean Iceman had mostly Anatolian farmer ancestry and traits like darker skin and a risk for certain health issues.
research Testing the impact of trait prevalence priors in Bayesian-based genetic prediction modeling of human appearance traits
Using trait prevalence priors in genetic prediction models for appearance traits is currently impractical due to limited knowledge and potential accuracy issues.
research Computerized morphometry and three-dimensional image reconstruction in the evaluation of scalp biopsy from patients with non-cicatricial alopecias
The study suggests computer-assisted analysis of scalp biopsies could improve hair loss diagnosis but needs more validation.
research Pitfalls of PCR-Based Strategy for Genotyping Cre-Loxp Mice
PCR genotyping in cre-loxP mice can be inaccurate due to unintended gene deletions in non-target tissues.
research Faculty Opinions recommendation of Tracking research trends and hotspots in sperm DNA fragmentation testing for the evaluation of male infertility: a scientometric analysis.
More research is needed to make sperm DNA fragmentation a reliable tool for diagnosing male infertility.
research A stain for plucked anagen hairs
A new staining method helps tell growing from resting hairs to diagnose hair loss.
research Co-expression of PADI isoforms during progenitor differentiation enables functional diversity
Different PADI isoforms help cells develop diverse functions.
research Isolation and Characterization of Mouse High-glycine/Tyrosine Proteins
Mouse high-glycine/tyrosine proteins have distinct patterns in hair follicles, peaking at specific hair cycle days.
research Rethinking pattern hair loss classification in the era of trichoscopy and artificial intelligence
A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
research Construction of regulatory network for alopecia areata progression and identification of immune monitoring genes based on multiple machine-learning algorithms
Researchers found four genes that could help diagnose severe alopecia areata early.