{"title":"对日本人进行全血转录组分析,绘制年龄和性别特异性基因表达图谱。","authors":"Yu-Ichi Aoki, Keiko Taguchi, Hayato Anzawa, Junko Kawashima, Noriko Ishida, Akihito Otsuki, Atsushi Hasegawa, Liam Baird, Takafumi Suzuki, Ikuko N Motoike, Kinuko Ohneda, Kazuki Kumada, Fumiki Katsuoka, Kengo Kinoshita, Masayuki Yamamoto","doi":"10.1093/jb/mvae008","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":15234,"journal":{"name":"Journal of biochemistry","volume":" ","pages":"611-627"},"PeriodicalIF":2.1000,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11756699/pdf/","citationCount":"0","resultStr":"{\"title\":\"Whole blood transcriptome analysis for age- and gender-specific gene expression profiling in Japanese individuals.\",\"authors\":\"Yu-Ichi Aoki, Keiko Taguchi, Hayato Anzawa, Junko Kawashima, Noriko Ishida, Akihito Otsuki, Atsushi Hasegawa, Liam Baird, Takafumi Suzuki, Ikuko N Motoike, Kinuko Ohneda, Kazuki Kumada, Fumiki Katsuoka, Kengo Kinoshita, Masayuki Yamamoto\",\"doi\":\"10.1093/jb/mvae008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":15234,\"journal\":{\"name\":\"Journal of biochemistry\",\"volume\":\" \",\"pages\":\"611-627\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11756699/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of biochemistry\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1093/jb/mvae008\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of biochemistry","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/jb/mvae008","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Whole blood transcriptome analysis for age- and gender-specific gene expression profiling in Japanese individuals.
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.
期刊介绍:
The Journal of Biochemistry founded in 1922 publishes the results of original research in the fields of Biochemistry, Molecular Biology, Cell, and Biotechnology written in English in the form of Regular Papers or Rapid Communications. A Rapid Communication is not a preliminary note, but it is, though brief, a complete and final publication. The materials described in Rapid Communications should not be included in a later paper. The Journal also publishes short reviews (JB Review) and papers solicited by the Editorial Board.