ReviewInternational journal of molecular sciences2023
Progress in Discovering Transcriptional Noise in Aging.
Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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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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Who cites it
21 citing papers in PubMed.
- Embracing non-linearity in human ageing.Nature reviews. Genetics · 2026Review
- Somatic mutations and genome mosaicism in aging and disease.Experimental & molecular medicine · 2026Review
- Single-cell atlas of the mouse ovary reveals molecular drivers of aging and senescence during the estropausal transition.Proceedings of the National Academy of Sciences of the United States of America · 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
- Human microphysiological systems of aging recreate the in vivo process expediting evaluation of anti-geronic strategies.Nature biomedical engineering · 2026Article
- STEVE: Single-cell Transcriptomics Expression Visualization and Evaluation.bioRxiv : the preprint server for biology · 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
- Sex-specific nonlinear DNA methylation aging trajectories reveal biomarkers of cancer risk and inflammation.Genome biology · 2026Article
- Regulatory Mechanisms and Functional Roles of Readthrough Transcripts in Tumorigenesis.International journal of molecular sciences · 2025Review
- Human Cell Aging Transcriptome Atlas (HCATA): a single-cell atlas of age-associated transcriptomic alterations across human tissues.Communications biology · 2025Article
- Impact of Acute Endurance Exercise on Alternative Splicing in Skeletal Muscle.FASEB bioAdvances · 2025Article
- Altering metabolism programs cell identity via NADThe EMBO journal · 2025Article
- Impact of Acute Endurance Exercise on Alternative Splicing in Skeletal Muscle.bioRxiv : the preprint server for biology · 2025Article
- Transcriptional Heterogeneity and Differential Response of Rod Photoreceptor Pathway Uncovered by Single-Cell RNA Sequencing of the Aging Mouse Retina.Aging cell · 2025Article
- Notable challenges posed by long-read sequencing for the study of transcriptional diversity and genome annotation.Genome research · 2025Review
- AI-powered simulation-based inference of a genuinely spatial-stochastic gene regulation model of early mouse embryogenesis.PLoS computational biology · 2024Article
- Histone deacetylase Hos2 regulates protein expression noise by potentially modulating the protein translation machinery.Nucleic acids research · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Increasing stochasticity is a key feature in the aging process. At the molecular level, in addition to genome instability, a well-recognized hallmark of aging, cell-to-cell variation in gene expression was first identified in mouse hearts. With the technological breakthrough in single-cell RNA sequencing, most studies performed in recent years have demonstrated a positive correlation between cell-to-cell variation and age in human pancreatic cells, as well as mouse lymphocytes, lung cells, and muscle stem cells during senescence in vitro. This phenomenon is known as the "transcriptional noise" of aging. In addition to the increasing evidence in experimental observations, progress also has been made to better define transcriptional noise. Traditionally, transcriptional noise is measured using simple statistical measurements, such as the coefficient of variation, Fano factor, and correlation coefficient. Recently, multiple novel methods have been proposed, e.g., global coordination level analysis, to define transcriptional noise based on network analysis of gene-to-gene coordination. However, remaining challenges include a limited number of wet-lab observations, technical noise in single-cell RNA sequencing, and the lack of a standard and/or optimal data analytical measurement of transcriptional noise. Here, we review the recent technological progress, current knowledge, and challenges to better understand transcriptional noise in aging.
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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 Socratic graph.