ArticleAging2019
The widespread increase in inter-individual variability of gene expression in the human brain with age.
Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Variable expression ofProceedings of the National Academy of Sciences of the United States of America · 2024Pooled it
- Evolutionary genetics of ageing.Nature reviews. Genetics · 2026Review
- Application of the Allen Human Brain Atlas in Alzheimer's disease and Parkinson's disease.Translational neurodegeneration · 2026Review
- LOESS and DE-SWAN can induce artifactual "waves" of molecular aging.bioRxiv : the preprint server for biology · 2026Article
- Age-associated increases in inter-individual gene expression variability across human tissues.bioRxiv : the preprint server for biology · 2026Article
- Gene expression and co-expression heterogeneity patterns and biodemography analyses during the cell cycle encourage aging studies in archaea.GeroScience · 2026Article
- A Manifold-Based Measure of Transcriptional Entropy for Quantifying Aging in Single Cells.bioRxiv : the preprint server for biology · 2026Article
- Age-stratified analysis of therapeutic, immune, and glycosylation gene expression in colorectal cancer using machine learning.Scientific reports · 2025Article
- Misalignment of age clocks.GeroScience · 2025Article
- Exposure-inducible genes may contribute to missingness in RNAseq-based gene expression analyses.Scientific reports · 2025Article
- Early establishment and life course stability of sex biases in the human brain transcriptome.Cell genomics · 2025Article
- Unveiling Pharmacogenomics Insights into Circular RNAs: Toward Precision Medicine in Cancer Therapy.Biomolecules · 2025Review
- Age-invariant genes: multi-tissue identification and characterization of murine reference genes.Aging · 2025Article
- Serum sodium within the normal range and its U-shaped relationship with biological aging in U.S. adults.Frontiers in nutrition · 2025Article
- Loss of coordination between basic cellular processes in human aging.Nature aging · 2024Article
- imply: improving cell-type deconvolution accuracy using personalized reference profiles.Genome medicine · 2024Article
- Age-Invariant Genes: Multi-Tissue Identification and Characterization of Murine Reference Genes.bioRxiv : the preprint server for biology · 2024Article
- Smurfness-based two-phase model of ageing helps deconvolve the ageing transcriptional signature.Aging cell · 2023Article
- Measuring cell-to-cell expression variability in single-cell RNA-sequencing data: a comparative analysis and applications to B cell aging.Genome biology · 2023Article
- Interindividual variation in human cortical cell type abundance and expression.Science (New York, N.Y.) · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Aging is broadly defined as a time-dependent progressive decline in the functional and physiological integrity of organisms. Previous studies and evolutionary theories of aging suggest that aging is not a programmed process but reflects dynamic stochastic events. In this study, we test whether transcriptional noise shows an increase with age, which would be expected from stochastic theories. Using human brain transcriptome dataset, we analyzed the heterogeneity in the transcriptome for individual genes and functional pathways, employing different analysis methods and pre-processing steps. We show that unlike expression level changes, changes in heterogeneity are highly dependent on the methodology and the underlying assumptions. Although the particular set of genes that can be characterized as differentially variable is highly dependent on the methods, we observe a consistent increase in heterogeneity at every level, independent of the method. In particular, we demonstrate a weak but reproducible transcriptome-wide shift towards an increase in heterogeneity, with twice as many genes significantly increasing as opposed to decreasing their heterogeneity. Furthermore, this pattern of increasing heterogeneity is not specific but is associated with a wide range of pathways.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.