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In this study, researchers identified two potential urinary biomarkers, testosterone–glucuronide and 11α-hydroxyprogesterone, along with four candidate biomarkers, to help understand and diagnose polycystic ovary syndrome.

This study reported that the Undiagnosed Disease Program at Ghent University Hospital successfully provided definite diagnoses for 18% of referred adults with suspected rare diseases, primarily through genomic technologies.

In this study, researchers developed a prognostic model using 16 genes to predict lung adenocarcinoma prognosis, showing good predictive accuracy and potential clinical utility in guiding treatment decisions based on hypoxia and mitochondrial-associated gene expression.

This study generated a transcriptomic map of human hair follicle compartments, providing a database for identifying compartment-specific gene expression which may aid in developing targeted treatments for hair follicle disorders.

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.

In this study, distinct androgen excess subtypes were identified in women with PCOS, with the adrenal androgen excess cluster showing significantly higher rates of insulin resistance and type 2 diabetes, suggesting 11-oxygenated androgens as potential drivers of metabolic risk.

This study developed and validated a mass spectrometric method to measure hydroxy-androgens in serum, which aids in understanding androgen synthesis in castration resistant prostate cancer.

This study developed a sensitive method for analyzing nine biomarkers in hair, revealing an association between chronic tobacco smoke exposure and stress, highlighting its potential use in understanding the relationship between long-term tobacco exposure and chronic stress.

This review discusses the integration of drug repurposing with personalized medicine through off-label prescribing and reports no new results, highlighting the potential for systematic exploration using omics technologies.

This study found that a combination of botanical extracts from jasmine, Longoza, peony, and lily significantly increased a6 and b4 integrin protein expression in human skin cells, suggesting complementary effects that could enhance skin quality.

This commentary highlights the potential of using transgenic and genome-edited mouse models to validate findings from livestock genomic and multi-omic analyses, aiding in the understanding of economically significant animal traits.

This article discusses how DNA-based phenotyping is used by police to create visual profiles of suspects from crime scene samples, but reports no new research findings.

This study found that clusters of mRNAs and lncRNAs in the peripheral blood of PCOS patients were aberrantly expressed, and certain lncRNA-mRNA pairs in the chemokine signaling pathway may be genetically related to PCOS.

This article reviews cell proteomic footprinting technology and its application in improving the authentication and quality control of cell-based immunotherapeutics, without providing new clinical results.

This study investigated protein expression changes during mouse hair follicle cycles and suggested their involvement in biological networks, potentially identifying targets for hair disease therapy.

This study suggests that common proteomic changes, including the expression of the protein S100A6, may occur during the expansion of AD-MSC from different donors.

This study conducted a genome-wide association meta-analysis using UK Biobank data to explore genetic correlations with perceived youthfulness, revealing traits linked to this perception among both male and female participants.

This meta-analysis utilized genome-wide association data to explore the genetic traits related to perceived youthfulness across different sex groups in the UK Biobank, incorporating factors like facial aging and lifestyle habits, but the abstract does not report specific results.

This study used a new statistical approach, PLACO, to identify several novel shared genetic regions associated with both Type 2 Diabetes and Prostate Cancer in two large GWAS datasets.

This study generated a transcriptomic map of human hair follicles, identifying compartment-specific gene expression profiles that can aid in developing targeted therapies for hair follicle disorders.

This study demonstrated that using a mass spectrometry imaging technique, researchers were able to visualize the incorporation of argan, avocado, and coconut oils into hair fibers, suggesting their potential in cosmetic and alopecia treatments by confirming oil absorption and fiber modification.

In this study, researchers found that the microRNA profiles of induced pluripotent stem cells (iPSCs) derived from different adult cell types are largely similar, although each line exhibits some unique gene expression, distinct from both their cells of origin and embryonic stem cells.

In this study, deep phenotyping of 68 patients with XPD gene defects successfully separated individuals by clinical diagnosis and survival status, potentially improving diagnosis and prognosis for xeroderma pigmentosum and trichothiodystrophy.

This study integrated single-cell RNA-seq data from four previous studies to create a comprehensive human corneal cell state meta-atlas, revealing novel marker genes, rare cell states, and distinct transcription factors, and offering a tool to enhance future cornea research.

This study developed a new proteomic method to identify and assess ancient hair proteins using only small amounts of sample, providing insights into hair protein alteration processes over time.

This research examined the transcriptional landscape of quiescent melanocyte stem cells (qMcSCs) in adult female mice, revealing significant heterogeneity within this cell population and identifying novel subpopulations that vary in immune privilege regulation, melanocyte differentiation potential, and neural crest potential.

This study identified differentially expressed microRNAs between back and belly skin in Rex rabbits, highlighting their potential roles in skin development processes.

This study developed and validated a high-resolution mass spectrometry method to screen for prohibited substances and analyze six endogenous steroids in urine according to World Antidoping Agency requirements, demonstrating its effectiveness for antidoping analysis.

This study applied semantic text-mining to identify phenotypes linked to over 6,000 diseases, demonstrating that these phenotypes can accurately identify known disease-associated genes, creating a human disease network based on phenotypic similarity.