SynthesisAging2021
Ageing transcriptome meta-analysis reveals similarities and differences between key mammalian tissues.
Synthesis in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 4 of them syntheses that pooled it.
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.
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
74 citing papers in PubMed, 4 syntheses or guidelines pooled it, 119 citations in OpenAlex.
- Shared and niche-specific transcriptional signatures of macrophage aging revealed by a cross-tissue meta-analysis.BMC biology · 2026Pooled it
- Pooled it
- Socioeconomic Inequalities and Molecular Risk for Aging in Young Adulthood.American journal of epidemiology · 2023Pooled it
- A meta-analysis of RNA-Seq studies to identify novel genes that regulate aging.Experimental gerontology · 2023Pooled it
- A conserved post-maturity imbalance between housekeeping and integrative genome activity in aging.GeroScience · 2026Article
- Article
- Investigating the role of CpG islands and DNA methylation at 3'UTRs in cancer.Life science alliance · 2026Article
- Early Origin of the Human Seminal Plasma Proteome During Vertebrate Evolution.Genome biology and evolution · 2026Article
- BAGE: a Bayesian framework for age prediction based on PBMC gene expression data.BMC bioinformatics · 2026Article
- Article
- Organelle resilience as a comparative blueprint for longevity.EMBO molecular medicine · 2026Review
- Pleiotropy and disease interactors: the dual nature of genes linking ageing and ageing-related diseases.Biogerontology · 2026Article
- Could Metabolism-Related Long Non-Coding RNAs Be More Conserved than Their Brain-Related Counterparts?Genes · 2026Review
- Genome-wide investigation of synthetic rescue interactions in Alzheimer's disease implicates glial lipid and sterol metabolism.Alzheimer's research & therapy · 2026Article
- Transcriptomic and epigenetic alterations in aging-related genes in the medaka liver due to ancestral BPA exposure.Journal of the Endocrine Society · 2026Article
- Deciphering the molecular landscape of aortic aging: a meta-analysis of bulk RNA sequencing studies in mice.GeroScience · 2026Article
- Safetyome and specialized panels for over 3,000 phenotypes: a systematic and translational approach using human genetics and pharmacology.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- Senescence profiling and biomarker identification in cell product based on adipose tissue-derived mesenchymal stromal cells.Stem cells translational medicine · 2026Article
- Irradiation-induced brain senescence accelerates cardiac aging via systemic mechanisms: insights from transcriptomic profiling.GeroScience · 2026Article
- Revisiting ancient whole-genome duplications in the seed and flowering plants through the lens of dosage-sensitive genes.Science advances · 2026Article
14 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
By combining transcriptomic data with other data sources, inferences can be made about functional changes during ageing. Thus, we conducted a meta-analysis on 127 publicly available microarray and RNA-Seq datasets from mice, rats and humans, identifying a transcriptomic signature of ageing across species and tissues. Analyses on subsets of these datasets produced transcriptomic signatures of ageing for brain, heart and muscle. We then applied enrichment analysis and machine learning to functionally describe these signatures, revealing overexpression of immune and stress response genes and underexpression of metabolic and developmental genes. Further analyses revealed little overlap between genes differentially expressed with age in different tissues, despite ageing differentially expressed genes typically being widely expressed across tissues. Additionally we show that the ageing gene expression signatures (particularly the overexpressed signatures) of the whole meta-analysis, brain and muscle tend to include genes that are central in protein-protein interaction networks. We also show that genes underexpressed with age in the brain are highly central in a co-expression network, suggesting that underexpression of these genes may have broad phenotypic consequences. In sum, we show numerous functional similarities between the ageing transcriptomes of these important tissues, along with unique network properties of genes differentially expressed with age in both a protein-protein interaction and co-expression networks.
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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.