ReviewNature genetics2025
Advancing biological understanding of cellular senescence with computational multiomics.
Review in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses 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
20 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Extracellular vesicles as a liquid biopsy for amyotrophic lateral sclerosis: a systematic review and meta-analysis.Journal of translational medicine · 2026Pooled it
- Occurrence of Myocarditis in Patients Immunized with Different Types of COVID-19 Vaccines: A Systematic Review and Meta-Analysis.Virus research · 2026Pooled it
- A compendium of circulating biomarkers of senescence in humans: Insights on mechanistic impact across health domains and modulation by therapeutic interventions.Ageing research reviews · 2026Review
- Senescent Cell Heterogeneity: Tissue-Dependent Signatures and Age Dynamics Revealed by Human scRNA-Seq Data.International journal of molecular sciences · 2026Article
- Review
- Treating age-related loss of muscle mass and function: Where should we be focusing?The Journal of physiology · 2026Review
- Inhibiting cyclin D1-CDK6 suppresses senescence-associated inflammatory gene expression and age-related functional decline.Nature aging · 2026Article
- Chromatin topology and distal elements underlie divergent cell-type-specific regulation of 9p21 locus cell cycle genes.Cell genomics · 2026Article
- SenCat: Cataloging human cell senescence through multi-omic profiling of multiple senescent primary cell types.Molecular cell · 2026Article
- Single-Nucleus Profiling Reveals a BBB Senescence Unit Driving AD Pathology in Human Brain.Molecular neurobiology · 2026Article
- Senescent cells in systemic aging: SASP heterogeneity, immune escape, and endocrine modulation.Biogerontology · 2026Review
- Towards a context-aware framework for cellular senescence.Biogerontology · 2026Review
- Fluorescence-Guided Spatial Mapping of p21-Expressing Senescent Cells in Aged Liver at Single-Cell Resolution.Biomolecules · 2026Article
- Skin Organoids in Proteostasis Research: Early Insights into Aging.Biomolecules & therapeutics · 2026Review
- Cross-Platform Transcriptomic Analysis of 40 Human and Rodent Skeletal Muscle Exerkines.Muscles (Basel, Switzerland) · 2026Review
- Prosaposin in CNS health and disease, metabolic stress and exercise adaptation.Journal of molecular medicine (Berlin, Germany) · 2026Review
- Special Issue "Molecular Progression in Genome-Related Diseases".International journal of molecular sciences · 2026Article
- Interdisciplinary Nanomaterials for Biomedical Imaging and Sensing Applications.Nanomaterials (Basel, Switzerland) · 2025Review
- Above and beyond senescence and CAR T cell: advances and future perspectives.Frontiers in immunology · 2025Review
- The Interplay of Aging and the Immune System.Missouri medicineReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
98 authors.
Funding
Abstract
Cellular senescence is a complex biological process that plays a pathophysiological role in aging and age-related diseases. The biological understanding of senescence at the cellular and tissue levels remains incomplete due to the lack of specific biomarkers as well as the relative rarity of senescent cells, their phenotypic heterogeneity and dynamic features. This Review provides a comprehensive overview of multiomic approaches for the characterization and biological understanding of cellular senescence. The technical capability and challenges of each approach are discussed, and practical guidelines are provided for selecting tools for identifying, characterizing and spatially mapping senescent cells. The importance of computational analyses in multiomics research, including senescent cell identification, signature detection and interactions of senescent cells with microenvironments, is highlighted. Moreover, tissue-specific case studies and experimental design considerations for individual organs are presented. Finally, future directions and the potential impact of multiomic approaches on the biological understanding of cellular senescence are discussed.
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.