ArticleFEBS open bio2026
Cellular senescence: Molecular signatures and cellular remodeling.
Article in FEBS open bio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cellular senescence, a state of stable cell-cycle arrest accompanied by profound metabolic and secretory changes, has emerged as a central hallmark of aging and a key contributor to age-associated diseases. Despite the great progress in understanding the characteristics, the underlying molecular mechanisms, and the role of senescent cells in several pathologies, many crucial issues remain unresolved. In this 'In the Limelight' special issue of FEBS Open Bio, three review articles deal with the accurate detection of senescent cells in vivo, changes in intercompartmental communication in senescent cells, and the role of lipid metabolism in neuronal 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.