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Single-cell sequencing shows that different types of macrophages have unique roles in wound healing.

The model predicts minoxidil's effectiveness and side effects better than traditional methods.

Proteomic analysis can identify genetic differences in mouse hair, helping understand hair defects and variations.

Different body areas have unique skin cell communication patterns, explaining why certain skin diseases occur in specific regions.

Different types of resting melanocyte stem cells have unique characteristics and vary in their potential to become other cells.

Co5M offers a new way to observe and understand wound healing without labels.

Mitochondrial genes help predict breast cancer outcomes and spread.

ICL is a condition with low CD4+ T cells like AIDS but not caused by HIV, and normal CD4+ T cell counts may vary between men and women.

Complex basal cell carcinomas need personalized treatment due to unique genetic mutations.

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.

New method finds genetic links between Type 2 Diabetes and Prostate Cancer not seen before.

These methods help understand DNA changes in mouse skin.

Different parts of the body's fat tissue have unique cell types and characteristics, which could help treat chronic wounds.

The article concludes that creating a detailed map of normal human skin at the single-cell level is important.

The improved genome of the African spiny mouse helps study its tissue regeneration.

The new method improves protein extraction and analysis in hair, aiding biomedical and forensic work.

Alopecia areata patients show unique protein activity patterns, suggesting imbalanced signaling pathways.

New imaging technology can show up to 40 different markers in hair loss tissue, helping to understand hair disease better.

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

Identified genes linked to male-pattern baldness may help develop new treatments.

Combining genetic and physical data improves diagnosis and treatment for early-onset monogenic diabetes.

Hair follicles have a more inactive cell cycle than other skin cells, which may help develop targeted therapies for skin diseases and cancer.

Understanding genetic variations in mice is crucial for studying skin, hair, or nail abnormalities.

Scientists created a detailed map of gene activity in different parts of human hair follicles.

Hair follicles and urine cell pellets are promising for transcriptome studies due to consistent quality and useful expression profiles.

Machine learning identified three unique subtypes of androgen excess in women with PCOS, each with different metabolic risks.

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