ReviewCurrent opinion in neurobiology2020
The aging transcriptome: read between the lines.
Review in Current opinion in neurobiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Multiparametric profiling of plasma cell-free nucleic acids in nonagenarians and centenarians highlights age-related differences associated with longevity.GeroScience · 2026Article
- Novel RNA transcript signatures for accurate age prediction using RNA profiling.International journal of legal medicine · 2026Article
- Tissue-Level Transcriptomic Entropy Reveals Organ-Specific Aging Patterns and Predicts Cancer Progression.Aging cell · 2026Article
- Cellular Senescence of Patient-derived Fibroblasts Reveals the Mid-old Stage as a Critical Window for Transcriptomic Signatures Linked to Alzheimer's Disease Biomarkers and Classification.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2026Article
- Multimodal analysis of molecular remodeling in aging spleen identified global and cell type specific changes.bioRxiv : the preprint server for biology · 2026Article
- Zfp462 Is a Key Mediator of Osteoblast Differentiation and Might Contribute to Age-Related Bone Loss.Aging cell · 2026Article
- Early-Life Climbing Stratifies the Metabolome and Mortality Risk in Genetically Identical Flies.Aging cell · 2026Article
- Senolytic Treatment Improves Responsiveness to Mechanical Loading in the Skeleton of Aged Mice.International journal of molecular sciences · 2025Article
- Integrating Iso-seq and RNA-seq data for the reannotation of the killifish telencephalon transcriptome.Scientific data · 2025Article
- A novel information-theoretic approach reveals loss of effective biomolecular communication in aging muscle cells.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- Article
- EHE cell cultures are a platform for mechanistic and therapeutic investigation.Scientific reports · 2025Article
- Human Cell Aging Transcriptome Atlas (HCATA): a single-cell atlas of age-associated transcriptomic alterations across human tissues.Communications biology · 2025Article
- Integrative Multiparametric Analysis of Circulating Cell-Free Nucleic Acids of Plasma in Healthy Individuals During Aging.Aging cell · 2025Article
- Impact of Acute Endurance Exercise on Alternative Splicing in Skeletal Muscle.FASEB bioAdvances · 2025Article
- Article
- Impact of Acute Endurance Exercise on Alternative Splicing in Skeletal Muscle.bioRxiv : the preprint server for biology · 2025Article
- Advances in biomarkers and diagnostic significance of organ aging.Fundamental research · 2025Review
- Multiomics of Aging and Aging-Related Diseases.International journal of molecular sciences · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The increasing sophistication of gene expression technologies has given rise to the idea that aging could be understood by analyzing transcriptomes. Mapping trajectories of gene expression changes in aging organisms, across different tissues and brain regions has provided insights on how biological functions change with age. However, recent publications suggest that transcriptional regulation itself deteriorates with age. Loss of transcriptional regulation will lead to non-regulated gene expression changes, but current analysis strategies were not designed to disentangle mixtures of regulated and non-regulated changes. Disentangling transcriptional data to distinguish adaptive, regulatory changes, from those that are the consequence of the age-associated deterioration is likely to create an analytical challenge but promises to unlock yet poorly understood aspects of many age-associated transcriptomes.
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.