ArticleNature communications2017
Noise reduction as an emergent property of single-cell aging.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Article
- Computational Systems Biology Approaches to Cellular Aging - Integrating Network Maps and Dynamical Models.Quantitative biology (Beijing, China) · 2025Article
- Design principles of gene circuits for longevity.Trends in cell biology · 2025Review
- Nano-Topography Enhanced Topological-Cell-Analysis in Radiation-Therapy.Advanced healthcare materials · 2025Review
- A mortality timer based on nucleolar size triggers nucleolar integrity loss and catastrophic genomic instability.Nature aging · 2024Article
- Transcriptional drift in aging cells: A global decontroller.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Transcriptional drift in aging cells: A global de-controller.bioRxiv : the preprint server for biology · 2023Article
- Article
- The small world coefficient 4.8 ± 1 optimizes information processing in 2D neuronal networks.NPJ systems biology and applications · 2022Article
- Modeling aging and its impact on cellular function and organismal behavior.Experimental gerontology · 2021Review
- A new mechanistic insight into fate decisions during yeast cell aging process.Mechanisms of ageing and development · 2021Article
- Variation, Variegation and Heritable Gene Repression inFrontiers in genetics · 2021Review
- Enabling high-throughput single-animal gene-expression studies with molecular and micro-scale technologies.Lab on a chip · 2020Article
- Capturing and Understanding the Dynamics and Heterogeneity of Gene Expression in the Living Cell.International journal of molecular sciences · 2020Review
- Characterization of the impact of GMP/GDP synthesis inhibition on replicative lifespan extension in yeast.Current genetics · 2020Article
- Article
- The ageing epigenome and its rejuvenation.Nature reviews. Molecular cell biology · 2020Review
- Advances in quantitative biology methods for studying replicative aging inTranslational medicine of aging · 2020Article
- Stochastic modeling of aging cells reveals how damage accumulation, repair, and cell-division asymmetry affect clonal senescence and population fitness.BMC bioinformatics · 2019Article
- Navigating the Depths and Avoiding the Shallows of Pancreatic Islet Cell Transcriptomes.Diabetes · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Noise-induced heterogeneity in gene expression is an inherent reality for cells. However, it is not well understood how noise strength changes for a single gene while the host cell is aging. Using a state-of-the-art microfluidic platform, we measure noise dynamics in aging yeast cells by tracking the generation-specific activity of the canonical GAL1 promoter. We observe noise reduction during normal aging of a cell, followed by a short catastrophe phase in which noise increased. We hypothesize that aging-associated increases in chromatin state transitions are behind the observed noise reduction and a stochastic model provides quantitative support to the proposed mechanism. Noise trends measured from strains with altered GAL1 promoter dynamics (constitutively active, synthetic with nucleosome-disfavoring sequences, and in the absence of RPD3, a global remodeling regulator) lend further support to our hypothesis. Observing similar noise dynamics from a different promoter (HHF2) provides support to the generality of our findings.Gene expression is a noisy process, but it is not known how noise in gene expression changes during the aging of single cells. Here the authors show that noise decreases during normal aging, and provide support for aging-associated increases in chromatin state transitions governing noise reduction.
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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.