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This study introduced laser particles as a new imaging probe capable of real-time tracking of thousands of individual cells in 3D tumor models, suggesting potential for advanced single-cell analyses.

This study explored non-invasive methods for monitoring low molecular weight biomarkers on the skin's surface, concluding that certain amino acid ratios, such as Phe/Trp, could serve as potential indicators of skin inflammation and cancer.

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

This thesis presents a new scientific approach using specific models to gain insights into psoriasis and eczema, highlighting a molecular classifier that improves diagnostic accuracy and predicts therapeutic response for these conditions.

This study developed a partially automated protocol utilizing hair follicles for DNA extraction in marmosets, achieving reliable whole genome sequencing with low chimerism, offering an efficient alternative to blood for genetic studies in non-human primates.

This study observed that multiphoton excitation microscopy revealed changes in vascular structure and hair papillae in mice subcutaneous tissue following cyclophosphamide treatment for chemotherapy-induced alopecia.

In this study, the researchers developed a quantum algorithm, QuantAnts machines, which identified complexes of CD9, CD34, and CD74 as potential targets for certain cancers involving the RAS pathway.

This study explores the use of in silico methods to identify potential diagnostic biomarkers for primary cicatricial alopecia, revealing significant interactions among genes and proteins related to disease pathogenesis.

This study found that using a pharmacogenetic panel with 26 SNPs can improve treatment outcomes for androgenetic alopecia, as overall response rates to minoxidil, finasteride, and dutasteride were high, and specific genetic markers predicted poor responses to these drugs.

In this study, researchers used single-cell RNA sequencing to identify cell types and molecular differences in subcutaneous adipose tissue from various anatomical sites, suggesting that certain subpopulations of human adipose stem cells might improve the treatment of chronic refractory wounds.

This study used machine learning to identify molecular predictors of drug response in alopecia areata, suggesting a tool for predicting treatment efficacy based on gene signatures.

This study investigated dual TCR Treg cells in mouse tissues, revealing a high proportion and diverse pairing patterns compared to single TCR Tregs, providing insights into their origins and characteristics across different tissue locations.

In this study, researchers investigated the role of the ATX-LPA axis in asthma pathogenesis using human and mouse models and highlighted the potential for developing new ATX inhibitors as effective asthma treatments.

The new skin organoid system effectively mimics human skin for studying its functions, injuries, and diseases.

This study used confocal Raman microscopy to confirm optical similarity between human and porcine hair follicles, supporting its use in assessing trans-follicular drug delivery.

This article reviews the challenges in studying keratin proteins and emphasizes the potential of modern proteomic techniques to advance their research, but it reports no new findings.

This study observed that POMP is strongly expressed in the root sheath hair follicles of Liaoning Cashmere goats and its expression can be regulated by certain factors, which may influence cashmere growth.

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 gene-regulatory interactions among parental alleles contribute significantly to heterosis in early stages of maize development, with many differentially expressed genes showing non-additive expression in hybrids.

This study compiled an archive of 684 genes associated with monogenic hair disorders, identifying previously unrecognized components of Hippo signaling and proposing a new biologically-grounded disease taxonomy.

This study suggests that UMPP activation is a key signaling pathway in differentiating primary and secondary hair follicles in cashmere goats.

This review highlights the potential of integrating point-of-care testing with allele-specific amplification techniques like AS-PCR, AS-LAMP, and AS-RPA to improve the efficiency, accuracy, and affordability of genotyping single nucleotide polymorphisms associated with human diseases.

This study developed a method using ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MRM-IDA-EPI) for the rapid and sensitive detection of 13 JAK inhibitors in anti-alopecia cosmetics, showing excellent separation and accurate quantification with high recovery rates in tested matrices.

This study introduced a pre-formal ontology matching approach using 39 identified dimensions to integrate drug information, improving database normalization and supporting complex use cases.

This study suggests that the long non-coding RNA Xist is a key factor in sex differences in systemic lupus erythematosus and rheumatoid arthritis, affecting immune cell behavior and inflammatory pathways in women.

In this study, researchers introduced a machine learning approach to discover new nanozymes through the DiZyme platform, enabling the accurate prediction of multiple catalytic activities, and providing a comprehensive database and assistant resources for users.

This article discusses the use of forensic DNA phenotyping to infer physical characteristics from biological samples without a reference sample, aiding investigations but raising ethical and legal concerns.

This article argues that esthetic dermatology could benefit from a more biologically informed approach through the integration of advanced biomarkers and imaging technologies, but cautions that many tools are not yet fully validated for clinical use.

This study found considerable variation in hair shaft proteomic profiles among Caucasian, African-American, Kenyan, and Korean subjects, with individual and site-specific differences observed.