ArticleAging cell2020
Transcriptome analysis reveals the difference between "healthy" and "common" aging and their connection with age-related diseases.
Article in Aging cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Preserved mitochondrial ribosomal protein gene expression marks a youthful transcriptional state in Chinese nonagenarians and centenarians.Cell reports. Medicine · 2026Article
- Article
- Integrated Multi-Tissue Transcriptomics Reveals Antagonistic Pleiotropy in Aging and Alzheimer's Disease.Computational and structural biotechnology journal · 2026Article
- Article
- The systematic assessment of completeness of public metadata accompanying omics studies in the Gene Expression Omnibus data repository.Genome biology · 2025Article
- Transcriptome-wide analysis reveals GYG2 as a mitochondria-related aging biomarker in human subcutaneous adipose tissue.Aging cell · 2024Article
- Global and tissue-specific aging effects on murine proteomes.Cell reports · 2023Article
- Multiscale network analysis identifies potential receptors for SARS-CoV-2 and reveals their tissue-specific and age-dependent expression.FEBS letters · 2023Article
- The landscape of aging.Science China. Life sciences · 2022Review
- Utilization of Host and Microbiome Features in Determination of Biological Aging.Microorganisms · 2022Review
- The energy-splicing resilience axis hypothesis of aging.Nature aging · 2022Article
- ADEIP: an integrated platform of age-dependent expression and immune profiles across human tissues.Briefings in bioinformatics · 2021Article
- Article
- Age-dependent transcriptional alterations in cardiac endothelial cells.Physiological genomics · 2021Article
- Resilience, plasticity and robustness in gene expression during aging in the brain of outbred deer mice.BMC genomics · 2021Article
- Prediction of SARS-CoV Interaction with Host Proteins during Lung Aging Reveals a Potential Role for TRIB3 in COVID-19.Aging and disease · 2021Article
- Evaluation of the MGISEQ-2000 Sequencing Platform for Illumina Target Capture Sequencing Libraries.Frontiers in genetics · 2021Article
- Transcriptomic Changes Highly Similar to Alzheimer's Disease Are Observed in a Subpopulation of Individuals During Normal Brain Aging.Frontiers in aging neuroscience · 2021Article
- Transcriptome analysis reveals the difference between "healthy" and "common" aging and their connection with age-related diseases.Aging cell · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
A key goal of aging research was to understand mechanisms underlying healthy aging and develop methods to promote the human healthspan. One approach is to identify gene regulations unique to healthy aging compared with aging in the general population (i.e., "common" aging). Here, we leveraged Genotype-Tissue Expression (GTEx) project data to investigate "healthy" and "common" aging gene expression regulations at a tissue level in humans and their interconnection with diseases. Using GTEx donors' disease annotations, we defined a "healthy" aging cohort for each tissue. We then compared the age-associated genes derived from this cohort with age-associated genes from the "common" aging cohort which included all GTEx donors; we also compared the "healthy" and "common" aging gene expressions with various disease-associated gene expressions to elucidate the relationships among "healthy," "common" aging and disease. Our analyses showed that 1. GTEx "healthy" and "common" aging shared a large number of gene regulations; 2. Despite the substantial commonality, "healthy" and "common" aging genes also showed distinct function enrichment, and "common" aging genes had a higher enrichment for disease genes; 3. Disease-associated gene regulations were overall different from aging gene regulations. However, for genes regulated by both, their regulation directions were largely consistent, implying some aging processes could increase the susceptibility to disease development; and 4. Possible protective mechanisms were associated with some "healthy" aging gene regulations. In summary, our work highlights several unique features of GTEx "healthy" aging program. This new knowledge could potentially be used to develop interventions to promote the human healthspan.
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