Comprehensive investigation of temporal and autism-associated cell type composition-dependent and independent gene expression changes in human brains
Abstract
The functions of human brains highly depend on the precise temporal regulation of gene expression, and substantial transcriptome changes across lifespan have been observed. While cell type composition is known to be temporally variable in brains, it remains unclear whether it is the primary cause of age-related transcriptome changes. Here, taking advantage of published human brain single-cell RNA-seq data, we applied a two-step transcriptome deconvolution procedure to the public age series RNA-seq data to quantify the contribution of cell type composition in shaping the temporal transcriptome in human brains. We estimated that composition change contributed to around 25% of the total variance and was the primary factor of age-related transcriptome changes. On the other hand, genes with substantial composition-independent temporal expression changes were also observed, which had diverged expression properties, functions and regulators as genes with temporal expression changes related to composition. This indicates a second independent mechanism shaping the human brains temporal transcriptome properties, which is important for human brain functions.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 39
- FWCI
- 2.12
- Field percentile
- top 12%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Single-cell transcriptomic and genomic changes in the aging human brain
Ailsa M. Jeffries, Tianxiong Yu, … Michael A. Lodato·bioRxiv·Nov 7, 2023
- Cell-type specific molecular signatures of aging revealed in a brain-wide transcriptomic cell-type atlas
Kelly Jin, Zizhen Yao, … Hongkui Zeng·bioRxiv·Jul 26, 2023
- Human brain cell-type-specific aging clocks based on single-nuclei transcriptomics
Chandramouli Muralidharan, Enikő Zakar‐Polyák, … Karolina Pircs·Advanced SciencePeer-reviewed·Aug 29, 2025
- INFERENCE OF CELL TYPE COMPOSITION FROM HUMAN BRAIN TRANSCRIPTOMIC DATASETS ILLUMINATES THE EFFECTS OF AGE, MANNER OF DEATH, DISSECTION, AND PSYCHIATRIC DIAGNOSIS
Megan Hastings Hagenauer, Anton Schulmann, … Huda Akil·PLoS ONEPeer-reviewed·Jul 17, 2018
- Gene expression heterogeneity during brain development and aging: temporal changes and functional consequences
Ulaş Işıldak, Mehmet Somel, … Handan Melike Dönertaş·Scientific ReportsPeer-reviewed·Mar 5, 2020
- The variability of expression of many genes and most functional pathways is observed to increase with age in brain transcriptome data
Veronika R. Kedlian, Handan Melike Dönertaş, Janet M. Thornton·AgingPeer-reviewed·Apr 19, 2019