Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan.
Systems Bioinformatics, Graduate School of Information Sciences, Tohoku University, Aramaki aza Aoba 6-3-09, Aoba-ku, Sendai, Miyagi, 980-8579, Japan.
J Biochem. 2024 May 31;175(6):611-627. doi: 10.1093/jb/mvae008.
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.
全血转录组分析是医学研究中一种很有价值的方法,主要是因为其样本采集方便,且能获得丰富的信息。由于分析中个体基因的表达谱受到年龄和性别等医学特征和人口统计学属性的影响,因此人们越来越需要一个全面的血液转录组分析数据库。在这里,我们对来自东北医疗大数据库(Tohoku Medical Megabank,TMM)的按年龄(20-30 岁和 60-70 岁)和性别分层的 576 名参与者进行了全血 RNA 测序(RNA-seq)分析。女性部分包括孕妇。我们在 RNA-seq 研究中没有排除珠蛋白基因家族,这使我们能够根据 HBG1 和 HBG2 的表达信息识别遗传性胎儿血红蛋白持续存在的情况。比较分层人群使我们能够确定与年龄相关变化和性别差异相关的基因群。我们还发现,免疫反应状态,特别是中性粒细胞与淋巴细胞比值(NLR),强烈影响全血转录组分析中个体基因表达谱的多样性。这种分层产生了一个数据集,这将对未来在日本人群中进行全血转录组分析非常有益。