ArticleNature aging2025
A transcriptome-based human universal senescence index (hUSI) robustly predicts cellular senescence under various conditions.
Article in Nature aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- IDEAL-Age: an interpretable deep learning framework for single-cell resolution profiling of immunological aging.Genome biology · 2026Article
- SenCat: Cataloging human cell senescence through multi-omic profiling of multiple senescent primary cell types.Molecular cell · 2026Article
- Fueling the fire: metabolic dysfunction and senescence as drivers of lung aging and disease.Physiological reviews · 2026Review
- Exploring molecular signatures of senescence with marker, an R Toolkit for evaluating gene sets as phenotypic markers.NAR genomics and bioinformatics · 2026Article
- Cellular senescence as a therapeutic target for aging intervention.Biomedical journal · 2026Review
- A conserved regulatory architecture stabilizes cellular senescence across distinct triggers in human fibroblasts.GeroScience · 2026Article
- Overview of molecular signatures of senescence and associated resources: pros and cons.FEBS open bio · 2026Review
- A transcriptomic analysis reveals shared and inducer-specific expression patterns of cellular senescence.bioRxiv : the preprint server for biology · 2026Article
- HCCaging: a liver physiological aging-related biomarker for hepatocellular carcinoma diagnosis based on transcriptome data.npj aging · 2026Article
- Review
- Senescent epithelial cells remodel the tumor microenvironment and drive early LUAD progression: a multiomics risk model and single-cell analysis.Cellular and molecular life sciences : CMLS · 2026Article
- DNA Methylation Signatures of Cellular Senescence Are Not Reversed by Senolytic Treatment.Aging cell · 2026Article
- Single-Cell Profiling Across Immune Tissues and Organs Reveals Immunosenescence Signatures in Male Rhesus Monkeys.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- SenNet Portal: Build, Optimization and Usage.bioRxiv : the preprint server for biology · 2026Article
- SenCat: Cataloging human cell senescence through multiomic profiling of multiple senescent primary cell types.bioRxiv : the preprint server for biology · 2026Article
- ICI-induced Granulomatous Sialadenitis is Responsive to Prednisone.medRxiv : the preprint server for health sciences · 2026Article
- A Manifold-Based Measure of Transcriptional Entropy for Quantifying Aging in Single Cells.bioRxiv : the preprint server for biology · 2026Article
- Aging-associated transcriptional programming of mitochondrial respiration in alveolar type II epithelial cells.Frontiers in cell and developmental biology · 2026Article
- Salivary gland cell senescence in Sjögren's syndrome: current research and novel therapeutic directions.Immunity & ageing : I & A · 2025Review
- Heterogeneity of Cellular Senescence, Senotyping, and Targeting by Senolytics and Senomorphics in Lung Diseases.International journal of molecular sciences · 2025Review
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13 authors.
Funding
Abstract
Despite the manifestation and contribution of cellular senescence to aging and various diseases, accurate identification of heterogeneous senescent cells remains challenging. Current senescence evaluation methods rely mainly on limited markers or homogeneous samples, which might fail to capture universal senescence features, limiting their generalizability. Here we developed the human universal senescence index (hUSI), an accurate and robust senescence evaluation method for diverse cells and samples. Based on features learned from the most comprehensive cellular senescence-associated transcriptome data so far, hUSI demonstrated its convincing connections with senescence phenotypes and superior robustness in predicting senescence state. Using hUSI, we discovered potential senescence regulators and mapped senescent cell accumulation across cell types in coronavirus disease 2019 (COVID-19). The method also facilitates decoding heterogeneous senescence states in melanoma tumors, identifying prognosis-associated signaling pathways. Overall, hUSI demonstrates its utility in characterizing cellular senescence across biological contexts, with broad applications in aging research and clinical practice.
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