ArticleeLife2022
Lack of evidence for increased transcriptional noise in aged tissues.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed.
- Tissue-Level Transcriptomic Entropy Reveals Organ-Specific Aging Patterns and Predicts Cancer Progression.Aging cell · 2026Article
- An immune-poised state of human bronchial epithelial cells mediates defense against RSV in adults.Nature communications · 2026Article
- Multitissue, multi-time point transcriptomic atlas of aging in mice and rats.Science advances · 2026Article
- Age-associated increases in inter-individual gene expression variability across human tissues.bioRxiv : the preprint server for biology · 2026Article
- An integrative single-nucleus multiomic atlas of the human left ventricle identifies gene regulatory network dynamics across cardiac development, aging, and disease.Genome biology · 2026Article
- Gene expression and co-expression heterogeneity patterns and biodemography analyses during the cell cycle encourage aging studies in archaea.GeroScience · 2026Article
- CellVoyager: AI CompBio agent generates new insights by autonomously analyzing biological data.Nature methods · 2026Article
- Assessment of dispersion metrics for estimating single-cell transcriptional variability.PLoS computational biology · 2026Article
- SenNet Portal: Build, Optimization and Usage.bioRxiv : the preprint server for biology · 2026Article
- A Manifold-Based Measure of Transcriptional Entropy for Quantifying Aging in Single Cells.bioRxiv : the preprint server for biology · 2026Article
- Dying occurs as a defined molecular progression iniScience · 2025Article
- Aere perennius: how chromatin fidelity is maintained and lost in disease.NAR molecular medicine · 2025Review
- Transcriptional Heterogeneity and Differential Response of Rod Photoreceptor Pathway Uncovered by Single-Cell RNA Sequencing of the Aging Mouse Retina.Aging cell · 2025Article
- Profiling the transcriptomic age of single-cells in humans.Communications biology · 2024Article
- Loss of coordination between basic cellular processes in human aging.Nature aging · 2024Article
- Article
- Gene regulatory networks in disease and ageing.Nature reviews. Nephrology · 2024Review
- Aging clocks based on accumulating stochastic variation.Nature aging · 2024Article
- A high-resolution view of the heterogeneous aging endothelium.Angiogenesis · 2024Review
- A neural network-based model framework for cell-fate decisions and development.Communications biology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aging is often associated with a loss of cell type identity that results in an increase in transcriptional noise in aged tissues. If this phenomenon reflects a fundamental property of aging remains an open question. Transcriptional changes at the cellular level are best detected by single-cell RNA sequencing (scRNAseq). However, the diverse computational methods used for the quantification of age-related loss of cellular identity have prevented reaching meaningful conclusions by direct comparison of existing scRNAseq datasets. To address these issues we created
Indexed as
Identifiers
What OpenQuestion holds
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.