Individual Variability in Human Cell Type Transcriptomes and Epigenomes
收藏NIAID Data Ecosystem2026-05-01 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE247988
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Diversity and individual variability are essential to human cognitive function. Identifying the conserved and variable (epi)genomic signatures of the brain’s cellular components is critical for understanding the neurobiological basis of individual variation in brain function. We applied single nucleus methylome and transcriptome sequence (snmCT-seq) to neurons from the frontal cortex of 11 adult human donors spanning a range of ages from 23 to 74, including males and females (Broadmann Area BA46). We clustered cells into brain cell types based on methylation features. We then examined the transcriptome and epigenome features in each cell type between and within individual donors. Taking advantage of the multimodal measurements in single cells, we also identified the relation between RNA expression and methylation level.These data with multiomics measurement from donors with sex and age diversity aims to approach the dimension of inter-individual variability. We apply snmCT-seq to identify the transcriptomic and epigenomic features of neurons from individual adult human frontal cortex, including 3 aged male donors (age range 70-71), 3 aged female donors (71-74 years old), 3 young male donors (25 years old) and 2 young female donors (23-30 years old). For each donor, 2 chunks of brain tissue were collected and processed separately, to assess within-donor variability. This project includes the following series: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193274 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193296 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193299 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193313 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193339 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193372 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193458 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE193499 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE201248 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE201830 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE201910 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE201933 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE202033 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE202062 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE202125 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE202162 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE249238 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE249336 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE249399 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE249705
创建时间:
2023-12-15



