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The method effectively images and correlates elements and metabolites in tissue samples at a micron scale.

A new method improves protein analysis in hair, aiding health and disease research.

The conclusion is that analyzing RNA from skin oils is a promising way to understand skin diseases.

The document reports findings on genetic research, including ethical concerns about genome editing, improved diagnosis of mitochondrial mutations, solving inherited eye diseases, confirming gene roles in epilepsy, linking a gene to aneurysms, and identifying genes associated with age-related macular degeneration.

scINSIGHT accurately identifies cell clusters and gene patterns in complex data.

MendelVar is a tool that helps identify important genes by combining GWAS data with Mendelian disease information.

A comprehensive human skin cell atlas was created to better understand skin biology and disease.

Human TMEM2 does not break down hyaluronan but helps control its metabolism.

The dataset includes detailed genetic information from mouse skin cells before and after injury.

The dataset includes detailed genetic information from mouse skin cells before and after injury.

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

A comprehensive human skin cell atlas was created to better understand skin biology and disease.

Using SNP array testing helped quickly find the gene causing Woodhouse-Sakati syndrome in two related individuals.

The package offers tools for exploring potential miRNA changes in female hair loss.

RNA-Seq is now the standard for detailed gene expression analysis.

The study provides exploratory findings on miRNA changes in female hair loss.

These methods help understand DNA changes in mouse skin.

Long-read RNA sequencing can identify complex gene changes in IFAP syndrome.

SEM/EDX can analyze hair elements but struggles with trace elements, limiting its forensic use.

Hair follicle analysis can track body changes from high-intensity interval training.

rPanglaoDB helps study rare cell types by merging RNA data, showing fibrocytes aid in healing.

A new non-invasive method can analyze skin mRNA to understand skin diseases better.

Recent selection on immune response genes was identified across seven ethnicities.

The method effectively extracts high-quality DNA from marmoset hair, avoiding blood chimerism.

Hair proteins have weak spots in their α-helical segments.

Integrating biological networks improves drug repurposing and ADR prediction.

DNA phenotyping can predict physical traits like eye, hair, and skin color, improving forensic investigations.

H1 increases risk for neurodegenerative diseases, while H2 offers protection but is linked to other disorders.

A new EDA gene variant causes X-linked hypohidrotic ectodermal dysplasia in a Chinese family.

PmtHEE is a better model for studying pigmented skin because it includes melanocytes and shows improved cell differentiation.