Publications by authors named "G Jun"
Objective: Explore the nature and prevalence of long-term conditions in individuals with intellectual disability.
Design: Retrospective longitudinal population-based study.
Setting: Primary and secondary care data across the population of Wales with the Secure Anonymised Information Linkage (SAIL) Databank.
Introduction: Limited success to date in development of drugs that target hallmark Alzheimer disease (AD) proteins as a means to slow AD-related cognitive decline has sparked interest in approaches focused on cognitive resilience. We sought to identify transcriptome signatures among brain donors with neuropathologically confirmed AD that distinguish those with cognitive impairment from those that were cognitively intact.
Methods: We compared gene expression patterns in brain tissue from donors in four cohorts who were cognitively and pathologically normal (controls), met clinical and pathological criteria for AD (SymAD), or were cognitively normal prior to death despite pathological evidence of AD (cognitively resilient or AsymAD).
Article Synopsis
- Ovarian cancer (OC) is a serious health issue for women, characterized by a poor prognosis and limited treatment options, requiring further study on its underlying mechanisms and immune interactions.
- The research focused on identifying cuproptosis-related genes (CRGs) to categorize OC into distinct subtypes and create a risk score (RS) model for predicting patient outcomes using data from various databases.
- The findings established three clinical subtypes of OC based on CRG expression, highlighted six key hub genes with oncogenic properties, and emphasized the potential of the RS model to improve survival predictions and therapeutic strategies.
Spatial transcriptomics technologies aim to advance gene expression studies by profiling the entire transcriptome with intact spatial information from a single histological slide. However, the application of spatial transcriptomics is limited by low resolution, limited transcript coverage, complex procedures, poor scalability and high costs of initial setup and/or individual experiments. Seq-Scope repurposes the Illumina sequencing platform for high-resolution, high-content spatial transcriptome analysis, overcoming these limitations.
View Article and Find Full Text PDFIntroduction: The genetic basis of Alzheimer's disease (AD) in Koreans is poorly understood.
Methods: We performed an AD genome-wide association study using whole-genome sequence data from 3540 Koreans (1583 AD cases, 1957 controls) and single-nucleotide polymorphism array data from 2978 Japanese (1336 AD cases, 1642 controls). Significant findings were evaluated by pathway enrichment and differential gene expression analysis in brain tissue from controls and AD cases with and without dementia prior to death.