research Whole Blood Transcriptome Profiling Identifies Candidate Genes Associated With Alopecia in Male Giant Pandas
Researchers found genes linked to hair loss in male giant pandas.
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research Screening and Expression Validation of Key Proteins for Secondary Hair Follicle Growth in Cashmere Goats Based on iTRAQ Quantitative Proteomics Technology
FKBP10 and FBN2 are key proteins for hair growth in cashmere goats.
research Study on the Expression Patterns of Inner Root Sheath-Specific Genes in Tan Sheep Hair Follicle During Different Developmental Stages
IRS-specific genes in Tan sheep hair follicles peak at birth and may affect wool crimp.
research Application of Multi-Omics Techniques to Androgenetic Alopecia: Current Status and Perspectives
Multi-omics techniques help understand the molecular causes of androgenetic alopecia.
research ST14 Interacts With TMEFF1 and Is a Predictor of Poor Prognosis in Ovarian Cancer
High levels of ST14 and TMEFF1 proteins in ovarian cancer are linked to worse patient outcomes and may be a new treatment target.
research The Biology and Genomics of Human Hair Follicles: A Focus on Androgenetic Alopecia
Hair loss in Androgenetic Alopecia is caused by genetics, aging, and lifestyle, leading to hair follicle shrinkage and related health risks.
research Developmental Mapping of Hair Follicles in the Embryonic Stages of Cashmere Goats Using Proteomic and Metabolomic Construction
Hair follicle development in cashmere goats involves dynamic changes in proteins and metabolites, with key roles for oxytocin, MAPK, and Ca2+ pathways.
research Whole-Genome Resequencing Reveals Selection Signal Related to Sheep Wool Fineness
Genes linked to wool fineness in sheep have been identified.
research Blank Spots in the Map of Human Skin: The Challenge for Xenotransplantation
Human skin xenografting could improve our understanding of skin development, renewal, and healing.
research IPSC-Based Approach for Human Hair Follicle Regeneration
The document concludes that using stem cells to regenerate hair follicles could be a promising treatment for hair loss, but there are still challenges to overcome before it can be used clinically.
research MicroRNA-1246 Inhibits NFATc1 Phosphorylation and Regulates T Helper 17 Cell Activation in the Pathogenesis of Severe Alopecia Areata
A substance called miR-1246 may help treat severe hair loss by reducing certain immune cell activities.
research The Enticing Path of miR Therapeutics: Difficult but Not Without Prospects
Developing microRNA-based treatments is hard but has potential.
research Progressive Expression of PPARGC1α Is Associated with Hair Miniaturization in Androgenetic Alopecia
Increased PPARGC1α relates to hair thinning in common baldness.
research TCL1 Transgenic Mouse Model as a Tool for the Study of Therapeutic Targets and Microenvironment in Human B-Cell Chronic Lymphocytic Leukemia
The TCL1 transgenic mouse model is useful for understanding human B-cell leukemia and testing new treatments.
research Updates in Wound Healing: Mechanisms and Translation
New findings improve our understanding of how wounds heal and can be applied to medical treatments.
research Non-Invasive Human Skin Transcriptome Analysis Using mRNA in Skin Surface Lipids
A new non-invasive method can analyze skin mRNA to understand skin diseases better.
research Non-Invasive Human Skin Transcriptome Analysis Using mRNA in Skin Surface Lipids
The conclusion is that analyzing RNA from skin oils is a promising way to understand skin diseases.
research Comprehensive Whole-Genome Resequencing Unveils Genetic Diversity and Selective Signatures of the Xiangdong Black Goat
Xiangdong black goats have moderate genetic diversity, minimal inbreeding, and important genes for reproduction, immunity, and other traits.
research Whole-Genome Bisulfite Sequencing of Goat Skins Identifies Signatures Associated with Hair Cycling
DNA methylation changes are linked to hair growth cycles in goats.
research Whole Genome Scan and Selection Signatures for Climate Adaptation in Yanbian Cattle
The CORT, FGF5, and CD36 genes are crucial for the cold weather adaptation of Yanbian cattle.
research Identification of Distinct Immune Signatures and Chemokine Networks in Scalp Inflammatory Diseases
Different immune responses cause hair loss in scalp diseases, with unique patterns in scalp psoriasis possibly protecting against hair loss.
research Repurposing of Drugs as Novel Influenza Inhibitors From Clinical Gene Expression Infection Signatures
A blood pressure drug, diltiazem, may also help treat influenza.
research Selection Signatures for Fiber Production in Commercial Species: A Review
Genomic research can help improve the quality and production of natural fibers in animals.
research Application of LncRNA-miRNA-mRNA CeRNA Network Analysis in the Treatment of Androgenic Alopecia
The lncRNA LOXL1-AS1 may help diagnose and treat androgenic alopecia.
research Keratinocytes of the Upper Epidermis and Isthmus of Hair Follicles Express Hemoglobin mRNA and Protein
Skin cells and certain hair follicle areas produce hemoglobin, which may help protect against oxidative stress like UV damage.
research Resequencing Analyses Revealed Genetic Diversity and Selection Signatures During Rabbit Breeding and Improvement
Genetic analysis of rabbits identified key genes for traits like coat color, body size, and fertility.
research In Vitro Induction of Hair Follicle Signatures Using Human Dermal Papilla Cells Encapsulated in Fibrin Microgels
Human cells in plasma-derived gels can potentially mimic hair follicle environments, improving hair regeneration therapies.
research Analysis of Histological and MicroRNA Profiles Changes in Rabbit Skin Development
Rabbit skin analysis showed changes in hair growth and identified miRNAs that may regulate hair follicle development.
research Molecular Dissection of Mesenchymal–Epithelial Interactions in the Hair Follicle
Understanding gene expression in hair follicles can reveal insights into hair growth and disorders.
research Predictive Modeling of Patient Response to JAK/STAT Inhibitors and Dynamic Patient-Matching
Machine learning can predict how well patients with alopecia areata will respond to certain treatments.