research Identification of Key Genes and Signaling Pathways in Male Androgenetic Alopecia by Bioinformatics Analysis
Found key genes affecting hair loss, immune response, and skin development; more research needed for better treatments.
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960-990 / 1000+ results research 516 Functional annotation of genes underlying hair disorders
The study identified key genes and pathways linked to hair disorders, aiding precision medicine.
research Investigation of hub genes and immune infiltration in androgenetic alopecia using bioinformatics analysis
Immune activities and specific genes are important in male pattern baldness.
research A 3D microtumour system that faithfully represents ovarian cancer minimal residual disease
The study developed a 3D model that closely imitates remaining ovarian cancer after treatment and identified a potential drug targeting resistant cancer cells.
research Analysis of gene expression patterns and levels in maize hybrids and their parents
Maize hybrids show better early growth due to complex gene interactions from their parent strains.
research Non-invasive human skin transcriptome analysis using mRNA in skin surface lipids
A new non-invasive method can analyze skin mRNA to understand skin diseases better.
research Non-invasive human skin transcriptome analysis using mRNA in skin surface lipids
The conclusion is that analyzing RNA from skin oils is a promising way to understand skin diseases.
research Integrated analysis of coding genes and non-coding RNAs during hair follicle cycle of cashmere goat (Capra hircus)
The study improved understanding of gene roles in cashmere goat hair growth, aiding future cashmere production.
research Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models
Mitochondrial genes help predict breast cancer outcomes and spread.
research A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
research Genomic Portraiture: The Science and Ethics of DNA Phenotyping in Identity Prediction
DNA phenotyping can predict physical traits like eye, hair, and skin color, improving forensic investigations.
research A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis
A new method measures mouse hair loss using shades of gray.
research Integrated analysis of long non-coding RNA and mRNA expression in different colored skin of koi carp
lncRNAs significantly influence koi carp skin color.
research 551 Combining Laser Capture Microdissection and RNAseq Analysis to Generate a Human Anagen Hair Follicle Transcriptome Atlas
Researchers made a detailed map of gene activity for different parts of human hair follicles to help create targeted hair disorder treatments.
research Integrated single-cell chromatin and transcriptomic analyses of human scalp identify gene-regulatory programs and critical cell types for hair and skin diseases
research Forensic DNA Phenotyping: a review on SNP panels, genotyping techniques, and prediction models
Forensic DNA phenotyping faces challenges due to inconsistent terminology, limited genetic understanding, and debates over technology and models.
research DNA phenotyping: current application in forensic science
DNA phenotyping helps predict physical traits from DNA with varying accuracy and requires careful ethical and legal handling.
research Exploring the possibility of predicting human head hair greying from DNA using whole-exome and targeted NGS data
Hair greying is mainly influenced by age, with genetics playing a smaller role.
research Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
research GENOME REPORT: Chromosome-scale genome assembly of the African spiny mouse (Acomys cahirinus)
The improved genome of the African spiny mouse helps study its tissue regeneration.
research Distinguishing Mouse Strains by Proteomic Analysis of Pelage Hair
Proteomic analysis can identify genetic differences in mouse hair, helping understand hair defects and variations.
research Identification of Potential Biomarkers for Diagnosis of Patients with Methamphetamine Use Disorder
Gene expression in hair follicles can help diagnose methamphetamine use disorder.
research Characterization of aberrant mTOR signaling pathway in U87MG glioblastoma cell line by quantitative phosphoproteomics
Inhibiting mTORC2 can reduce DNA repair and increase cancer cell death, suggesting potential for targeted brain cancer treatments.
research A preview of selected articles
The document concludes that DNA methylation and the mTOR pathway are important for stem cell function and could impact disease treatment.
research Decision letter: The molecular basis for ANE syndrome revealed by the large ribosomal subunit processome interactome
ANE syndrome is caused by a mutation in the RBM28 protein that disrupts ribosome assembly.
research OR20-01 Machine Learning-based Steroid Metabolome Analysis In Women With Polycystic Ovary Syndrome Reveals Three Distinct Androgen Excess Subtypes With Different Metabolic Risk Profiles.
Machine learning identified three unique subtypes of androgen excess in women with PCOS, each with different metabolic risks.
research A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
Adding obesity data to machine learning models improves heart disease prediction accuracy.
research A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
research 944 Non-coding double stranded RNA induces retinoic acid synthesis and retinoid signaling to control regeneration
Non-coding RNA boosts retinoic acid production and signaling, aiding regeneration.
research rPanglaoDB: an R package to download and merge labeled single-cell RNA-seq data from the PanglaoDB database
rPanglaoDB helps study rare cell types by merging RNA data, confirming fibrocytes' role in healing.