Publications by authors named "Yu-Ichi Aoki"
Article Synopsis
- Whole blood transcriptome analysis offers valuable insights for medical research, primarily due to easy sample collection and the detailed information it provides about gene expression influenced by factors like age and gender.
- A study was conducted on 576 participants from the Tohoku Medical Megabank, stratifying by age (20-30s and 60-70s) and gender, including pregnant women, to analyze RNA sequencing data and investigate gene expression differences.
- Findings revealed associations between gene expression and age/gender differences, as well as the impact of immune response status (neutrophil-to-lymphocyte ratio) on gene diversity, resulting in a significant data set for future research in the Japanese population.
