Yu-Ichi Aoki, Keiko Taguchi, Hayato Anzawa, Junko Kawashima, Noriko Ishida, Akihito Otuki, Atsushi Hasegawa, Liam Baird, Takafumi Suzuki, Ikuko N Motoike, Kinuko Ohneda, Kazuki Kumada, Fumiki Katsuoka, Kengo Kinoshita, Masayuki Yamamoto
Whole blood transcriptome analysis is a valuable approach in medical research, primarily due to the ease of sample collection and the richness of the information obtained. Since the expression profile of individual genes in the analysis is influenced by medical traits and demographic attributes such as age and gender, there has been a growing demand for a comprehensive database for blood transcriptome analysis. Here, we performed whole blood RNA sequencing (RNA-seq) analysis on 576 participants stratified by age (20-30s and 60-70s) and gender from cohorts of the Tohoku Medical Megabank (TMM)...
January 24, 2024: Journal of Biochemistry