ArticleAging2022
Senescence-associated morphological profiles (SAMPs): an image-based phenotypic profiling method for evaluating the inter and intra model heterogeneity of senescence.
Article in Aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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
34 citing papers in PubMed, 59 citations in OpenAlex.
- The responsive nucleus: morphological signatures of cellular state.Nucleus (Austin, Tex.) · 2026Review
- Deciphering senescence-associated mechanisms through cell painting & transcriptomics.npj aging · 2026Article
- Fueling the fire: metabolic dysfunction and senescence as drivers of lung aging and disease.Physiological reviews · 2026Review
- Towards a context-aware framework for cellular senescence.Biogerontology · 2026Review
- Differential miRNA expression during replicative senescence of dental pulp stem cells with potential for forensic age assessment.Scientific reports · 2026Article
- c-Myc transactivates CFL1 to induce senescence-like phenotype and potentiate the bystander effects for the migration and proliferation in lung cancer cells.Cell death discovery · 2026Article
- The Role of Cellular Senescence in Oral Health and Disease.International journal of molecular sciences · 2026Review
- Engineering Aging: Approaches to Model and Deconstruct Biological Complexity.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Heterogeneity of Cellular Senescence: Subtype-Specific Mechanisms and the Emerging Role of Plasma Membrane Damage.Cancer science · 2025Review
- Article
- Myocardial infarction induces endothelial dysfunction with independence of cardiovascular risk factors.Angiogenesis · 2025Article
- Review
- SenPred: a single-cell RNA sequencing-based machine learning pipeline to classify deeply senescent dermal fibroblast cells for the detection of an in vivo senescent cell burden.Genome medicine · 2025Article
- Human dermal fibroblast senescence in response to single and recurring oxidative stress.Frontiers in aging · 2025Article
- Review
- SenNet recommendations for detecting senescent cells in different tissues.Nature reviews. Molecular cell biology · 2024Review
- Emerging insights in senescence: pathways from preclinical models to therapeutic innovations.npj aging · 2024Review
- Metabolites and Metabolic Functional Changes-Potential Markers for Endothelial Cell Senescence.Biomolecules · 2024Article
- Review of evidence linking exposure to environmental stressors and associated alterations in the dynamics of immunosenescence (ISC) with the global increase in multiple sclerosis (MS).Immunity & ageing : I & A · 2024Review
- The paradox of senescent-marker positive cancer cells: challenges and opportunities.npj aging · 2024Review
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
Senescence occurs in response to a number of damaging stimuli to limit oncogenic transformation and cancer development. As no single, universal senescence marker has been discovered, the confident classification of senescence induction requires the parallel assessment of a series of hallmarks. Therefore, there is a growing need for "first-pass" tools of senescence identification to streamline experimental workflows and complement conventional markers. Here, we utilise a high content, multidimensional phenotypic profiling-based approach, to assess the morphological profiles of senescent cells induced via a range of stimuli. In the context of senescence, we refer to these as senescence-associated morphological profiles (SAMPs), as they facilitate distinction between senescent and proliferating cells. The complexity of the profiles generated also allows exploration of the heterogeneity both between models of senescence and within an individual senescence model, providing a level of insight at the single cell level. Furthermore, we also demonstrate that these models are applicable to the assessment of senescence
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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.