Whole blood transcriptome analysis for age- and gender-specific gene expression profiling in Japanese individuals

被引:3
作者
Aoki, Yu-ichi [1 ,2 ]
Taguchi, Keiko [1 ,3 ]
Anzawa, Hayato [1 ,2 ]
Kawashima, Junko [1 ]
Ishida, Noriko [1 ]
Otsuki, Akihito [1 ]
Hasegawa, Atsushi [1 ]
Baird, Liam [1 ,3 ]
Suzuki, Takafumi [1 ]
Motoike, Ikuko N. [1 ,2 ]
Ohneda, Kinuko [1 ]
Kumada, Kazuki [1 ,3 ]
Katsuoka, Fumiki [1 ,3 ]
Kinoshita, Kengo [1 ,2 ,3 ]
Yamamoto, Masayuki [1 ,4 ]
机构
[1] Tohoku Univ, Tohoku Med Megabank Org, Sendai, Miyagi, Japan
[2] Tohoku Univ, Grad Sch Informat Sci, Syst Bioinformat, Aramaki aza Aoba 6-3-09,Aoba ku, Sendai, Miyagi 9808579, Japan
[3] Tohoku Univ, Adv Res Ctr Innovat Next Generat Med, 2-1 Seiryo machi,Aoba ku, Sendai, Miyagi 9808573, Japan
[4] Tohoku Univ, Dept Biochem & Mol Biol, Tohoku Med Megabank Org, 2-1 Seiryo machi,Aoba ku, Sendai, Miyagi, Japan
关键词
age and gender difference; globin; HPFH; RNA-seq; whole blood transcriptome; RNA-SEQ DATA;
D O I
10.1093/jb/mvae008
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Whole blood transcriptome analysis is a valuable approachin 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). A part of female segment included pregnant women. We did not exclude the globin gene family in our RNA-seq study, which enabled us to identify instances of hereditary persistence of fetal hemoglobin based on the HBG1 and HBG2 expression information. Comparing stratified populations allowed us to identify groups of genes associated with age-related changes and gender differences. We also found that the immune response status, particularly measured by neutrophil-to-lymphocyte ratio (NLR), strongly influences the diversity of individual gene expression profiles in whole blood transcriptome analysis. This stratification has resulted in a data set that will be highly beneficial for future whole blood transcriptome analysis in the Japanese population. Graphical Abstract
引用
收藏
页码:611 / 627
页数:17
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