research Enhancing the diagnostic yield of monogenic diabetes in unresolved cases with early-onset hyperglycemia
Combining genetic and physical data improves diagnosis and treatment for early-onset monogenic diabetes.
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990-1000 / 1000+ results research Ornithine decarboxylase activity in relation to DNA synthesis in mouse interfollicular epidermis and hair follicles
research The CD44+ALDH+ Population of Human Keratinocytes Is Enriched for Epidermal Stem Cells with Long-Term Repopulating Ability
Certain human skin cells marked by CD44 and ALDH are rich in stem cells capable of long-term skin renewal.
research Lamellar ichthyosis with pseudoexon activation in the transglutaminase 1 gene
The boy's severe skin disorder is caused by two new mutations in his TGM1 gene.
research Expression of keratins K6 and K16 in regenerating mouse epidermis is less restricted by cell replication than the expression of K1 and K10.
Keratins K6 and K16 are expressed more freely in regenerating mouse skin than K1 and K10.
research Col4a2-eGFPmouse model reveals the molecular and functional dynamics of basement membrane remodelling in hair follicle morphogenesis
Scientists made a mouse that shows how a specific protein in the skin changes and affects hair growth and shape.
research Innovations in Skin Regeneration: The Intersection of 3D Bioprinting and Single-Cell RNA Sequencing
Combining 3D bioprinting and single-cell RNA sequencing improves skin regeneration.
research Reproducibility package for an auditable exploratory re-analysis of miRNA dysregulation and aging-related validated target enrichment in female pattern hair loss
The study provides exploratory findings on miRNA changes in female hair loss.
research 572 Defining chronic wound types in recessive dystrophic epidermolysis bullosa patients for clinical outcome assessment
The conclusion is that differentiating wound types in RDEB patients is important for clinical trials and understanding the disease.
research Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility Study
Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.