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The study found that minor protein differences between curved and straight Japanese hair are unlikely to significantly affect hair structure.

Researchers developed a new way to measure gene activity in single hair follicles and found that a specific gene's activity changes with different amounts and times of treatment.

Forensic DNA phenotyping can help generate new leads in cold cases but faces accuracy, legal, and acceptance challenges.

Researchers developed a cost-effective 66 K SNP chip for cashmere goats that is accurate and useful for genetic studies.

Pyrene excimer nucleic acid probes are promising for detecting biomolecules accurately with potential for biological research and drug screening.

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

CEP135 may predict cancer outcomes, and targeting PLK1 could help treat certain sarcomas.

A new EDA gene mutation was found in a Chinese family with a specific skin disorder.

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

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

Tape-strip RNA sequencing can better detect inflammation in hair follicles for alopecia areata.

The research identified specific genes that are active in the cells crucial for hair growth.

Steroid sulfatase inhibitors could help treat hormone-related disorders and cancers.

The research found that the properties of solid-state Electronic Circular Dichroism (ss-ECD) are influenced by the orientation of local crystals, which could help in examining and mapping chiral materials like pharmaceutical ingredients.

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

Stellera chamaejasme L. extract promotes hair growth by activating hair growth genes.

Near-infrared probes can safely and effectively image cysteine protease activity for disease diagnosis.

The lentiviral array can monitor and predict gene activity during stem cell differentiation.

Portable point-of-care testing can improve quick and accurate genetic disorder detection.

Keratin peptide signatures in hair may help identify gender and ethnicity.

The system helps monitor hair properties using RGB video microscopy.

The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.

A new easy-to-use biosensor was made to detect androgen receptor mRNA, which could help diagnose related conditions quickly.

A specific gene mutation causes a severe skin disorder in a family.

The engineered yeast strain BLYAS can quickly and sensitively detect androgenic chemicals.

MEGA PROTAC improves prediction and ranking of protein complexes better than existing methods.