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This study introduces scINSIGHT, a method that showed improved performance over existing approaches in identifying gene expression patterns and cellular processes in heterogeneous scRNA-seq datasets from different biological conditions.

This study used proteomic techniques to analyze human hair proteins, revealing keratin heterogeneity and identifying posttranslational modifications, such as cysteine trioxidation and methylation.

This study demonstrated that a microarray patch can deliver antibodies in a controlled and prolonged manner, maintaining their functionality after manufacturing and heat exposure, with successful pharmacokinetic proof-of-concept in rats.

This study identified three SPINK5 mutations, including two novel ones, in Israeli patients with Comèl-Netherton syndrome, suggesting recurring mutations that should inform future diagnostic strategies in Israel.

This study developed a non-invasive, partially automated protocol for extracting high-quality DNA from hair follicles of marmosets, significantly reducing chimerism rates compared to blood, and proving reliable for whole genome sequencing in low-input DNA scenarios.

This study found that a combined genotypic and phenotypic reanalysis increased molecular diagnostic accuracy from 9% to 26% in a cohort of unresolved monogenic diabetes cases, identifying five previously overlooked genetic defects.

This case report illustrates how SNP array testing helped identify a DCAF17 mutation linked to Woodhouse-Sakati syndrome in consanguineous Qatari siblings with shared features including alopecia and hypogonadotropic hypogonadism.

This study presents iSiMPRe, a method identifying protein regions enriched in mutations, revealing potential cancer-related genes and enhancing understanding of mutation effects across a wide range of cancer types.

This study outlines the Human Gene Correlation Analysis tool, which classifies human genes by coexpression levels and identifies overrepresented annotation terms in correlated gene groups, with no new clinical results reported.

This article provides guidelines for molecular genetic testing of congenital adrenal hyperplasia due to 21-hydroxylase deficiency, focusing on quality requirements, methodologies, and variant classification; it reports no new clinical results.

This study introduces the Hair Cell Analysis Toolbox (HCAT), a machine-learning software that automates the analysis of cochlear hair cells, enabling unbiased and comprehensive imaging data interpretation.

MultiKano accurately identifies cell types in complex data better than existing methods.

This study utilized a UHPLC-HRMS method to identify eight active pharmaceutical ingredients, such as ketoconazole and minoxidil, in 26 out of 100 analyzed cosmetic products.

This study describes new devices, "HairMeasure" and "Scalp Zone Identifier," which offer an economical method to calculate Hair Mass Index without disposable materials.

The method effectively analyzes human hair proteins, especially nonfilamentous ones.

This article reviews the use of DNA microarrays in studying skin biology including cancer, inflammation, and stem cell differentiation, but reports no new experimental results.

This study found that single-nucleus RNA sequencing identified more relevant keratinocyte clusters and specific markers than single-cell RNA sequencing, offering a new perspective on skin cell differentiation and function.

This study conducted de novo transcriptome sequencing in sheep skin, identifying and annotating numerous unigenes, which may aid in improving wool quality and understanding hair follicle development.

In this preclinical study, researchers developed and evaluated a new non-invasive laser system designed for personalized medical use, showing its potential for chronic disease management and adjunctive fat reduction by offering enhanced treatment precision and adaptability over existing devices.

This study concluded that two exemestane preparations are bioequivalent, using a high-performance liquid chromatographic mass spectrometric method to measure concentrations in human plasma.

This review explains methods for studying chromatin variation at the single-cell level using scATAC-seq and discusses integrating these measures with other omics platforms but reports no new results.

This study reported that the Computational Analysis of Novel Drug Opportunities platform effectively uses integrated biological data, including side effects and pathways, to generate potential drug candidates for colon cancer and migraine disorders.

This study found that Imaging Mass Cytometry effectively visualizes multiple biomarkers in alopecia areata, enhancing analysis of immune cell and tissue interactions in hair pathology.

This case report highlights the use of microarray analysis to identify cryptic chromosomal rearrangements in a young woman with intellectual disability and multiple congenital anomalies.

This study demonstrated that RNA-seq can effectively expand hair follicle transcriptomic profiling in a multi-center study, offering deeper insights than blood transcriptomics alone.

This study found that LC-MS/MS is a more reliable method than immunoassays for measuring serum 17OHP and androgen levels in women with hyperandrogenism.

This study demonstrated that combining cell conditioning with mild protease digestion enhanced the visualization of versican mRNA in formalin-fixed mouse skin tissue sections compared to using either technique alone.

This article discusses the MendelVar webserver, which integrates Mendelian disease data with GWAS findings to prioritize candidate genes for complex traits and reports no new experimental results.