research Abstracts from the 55th European Society of Human Genetics (ESHG) Conference: Oral Presentations
NIPT can help detect potential maternal cancer, and GIPXplore can identify immune diseases in pregnancies.
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30-60 / 1000+ results research Recent advances in Forensic DNA Phenotyping of appearance, ancestry and age
Forensic DNA Phenotyping can now better predict appearance, ancestry, and age from DNA, but more research is needed for precise police use.
research A Fluorescence-based Lymphocyte Assay Suitable for High-throughput Screening of Small Molecules
The assay effectively identifies compounds that affect immune cell activation.
research Analysis of the human diseasome using phenotype similarity between common, genetic and infectious diseases
The study found that diseases can be grouped by symptoms and that the accuracy of predicting disease-related genes varies with the data source.
research Multimodal profiling reveals site-specific adaptation and tissue residency hallmarks of γδ T cells across organs in mice
γδ T cells adapt uniquely to different tissues in mice.
research 203 Automated skin surface phenotype for melanoma risk assessment
An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.
research Genomic and phenotypic characterization of Investigator Global Assessment (IGA) scale-based endotypes in atopic dermatitis
Different types of atopic dermatitis were linked to specific genetic and immune changes, suggesting that severe cases might need stronger immune-targeting treatments.
research Protein Microarrays
Protein microarrays are highly sensitive tools useful for disease diagnosis and studying proteins.
research Large-Scale Epitope Identification Screen and Its Potential Application to the Study of Alopecia Areata
The conclusion is that a new method could improve the identification of autoimmune targets in alopecia areata, despite some limitations.
research BIPHENOTYPIC LEUKAEMIA
Acute leukemias with the Philadelphia chromosome may be biphenotypic, and identifying this is important for proper treatment.
research Enhancing diagnostic yield of monogenic diabetes through phenotypic and molecular reanalysis of 128 individuals with young onset hyperglycemia: highlighting the significance of accurate case characterization
Combining genetic and physical trait analysis improves diagnosis accuracy for monogenic diabetes.
research Hair extensions: a concerning cause of hair disorders
Hair extensions can cause hair loss and scalp damage, and these problems might be more common than people realize.
research Forensic DNA phenotyping: the need for proportionate regulation and judicial clarity in law enforcement
Unified regulations and ethical guidelines are needed for fair use of forensic DNA phenotyping.
research Mixing the Old with the New: Drug Repurposing for Immune Deficiency in the Era of Precision Medicine and Pediatric Genomics
Using old drugs for new uses can help treat rare immune deficiencies.
research 0750 Proteomics and transcriptomics profiling define molecular subtypes of advanced cutaneous T cell lymphoma and prognostic biomarkers
Three molecular subtypes of advanced skin T-cell lymphoma were identified, with potential biomarkers for predicting treatment response and disease progression.
research Identification of a Novel Three-immunogene Diagnostic Signature for Alopecia Areata
A new diagnostic model can help better diagnose and understand Alopecia Areata.
research Current management strategies for cutaneous T-cell lymphoma
The document concludes that treatment for cutaneous T-cell lymphoma should be customized to each patient's disease stage, balancing benefits and side effects, with no cure but many patients living long lives.
research Primary cutaneous follicle center lymphoma presenting as frontal fibrosing alopecia
Biopsy is crucial for diagnosing unusual hair loss causes like lymphoma.
research Immunohistochemistry of Canine Hair Follicle Stem Cells (cHFSCs) by using CK15 and CK19
Canine hair follicles have stem cells in the bulge region.
research Abstracts Presented at the 12th Joint Meeting of the International Society of Dermatopathology, March 4-5, 2009, Marines Memorial Club & Hotel, San Francisco, CA, USA
Mast cells play a significant role in hair loss conditions like male pattern hair loss and alopecia areata.
research Leveraging Single Nucleotide Polymorphism Profiling for Precision Skin Care: How SNPs Shape Individual Responses in Cosmetic Dermatology
SNP profiling allows personalized skincare treatments for better results and fewer side effects.
research Enhancing the diagnostic yield of monogenic diabetes in unresolved cases with early-onset hyperglycemia
Combining genetic and physical data improves diagnosis and treatment for early-onset monogenic diabetes.
research 368 Methods in Inflammatory Hair Disease Research: Enhanced Multiplex Imaging on Alopecia Areata Tissue Sections
New imaging technology can show up to 40 different markers in hair loss tissue, helping to understand hair disease better.
research Regulation of immune response genes in the skin of allergic and clinically tolerant individuals exposed to p‐phenylenediamine
Everyone has an immune response to PPD, but reactions differ, causing tolerance, mild inflammation, or allergy.
research The T-cell antigen receptor: paradigm recalled
research Fluorescence Activated Cell Sorting (FACS) of CK15 Cells in Canine Hair Follicular Tissue
Canine hair follicle cells show stem cell properties, aiding hair growth.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
research Microarray Gene Expression Analysis of Lesional Skin in Canine Pemphigus Foliaceus
Canine pemphigus foliaceus involves significant immune activity and shares similarities with human pemphigus.
research Deep Hair Phenomics: Implications in Endocrinology, Development, and Aging
A new tool can analyze hair to detect changes due to hormones, genetics, and aging.
research Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods
Machine learning can help find new ways to treat alopecia areata.