Pasta: a transcriptomic clock tested across tissues and cell data
The abstract describes Pasta, a transcriptomic aging clock trained with an 'age-shift' framework that predicted relative age across tissues and data types; its scores tracked senescent and stem-like states and, in a large compound screen, flagged pralatrexate and piperlongumine for cell experiments. [1]
Automatic summary · not editorially reviewed
The key findings
Pasta is described as a human transcriptomic aging clock built with an 'age-shift' learning framework that predicted relative age across tissues and data types. [1]
Pasta's age scores correlated with tumor grade and patient survival in several cancer types, described as indicating potential clinical relevance. [1]
In human cells, experimental validation confirmed pralatrexate as a senescence inducer and piperlongumine as a rejuvenating agent. [1]
The source at a glance
- Study type / format
- Method development and computational analysis with experimental cell validation (abstract).
- Population / context
- Human transcriptomes across tissues and cell types, plus human cells in validation experiments.
- Summary based on
- Study abstract
- Original publication
- July 27, 2026
Pasta clock built with age-shift learning
The authors describe a need to track biological age, since transcriptomic aging clocks have been limited by platform dependence, tissue specificity or restricted accessibility. They therefore built Pasta, described as a robust and broadly applicable human transcriptomic aging clock, using a new 'age-shift' learning framework. The abstract reports that Pasta accurately predicted relative age across diverse tissues and data types, including bulk and single-cell RNA sequencing and microarray data.
Supporting source [1]
Senescent states, p53 pathways and cancer correlations
The abstract states that Pasta's predictions aligned with senescent and stem-like cellular states and relied on model coefficients enriched for p53 and DNA damage response pathways. It also reports that Pasta's age scores correlated with tumor grade and patient survival in several cancer types, which the authors describe as indicating potential clinical relevance. These are described associations, not evidence that the clock causes these outcomes.
Supporting source [1]
Compound screen and cell validation of two agents
Applied to over three million transcriptomes from the Connectivity Map L1000 dataset, Pasta identified both established and previously unrecognized age-modulatory compounds and genetic perturbations, the abstract says. It highlights mitochondrial translation and mRNA splicing as key determinants of cellular propensity for aging and rejuvenation, respectively. Experimental validation confirmed pralatrexate as a potent senescence inducer and piperlongumine as a rejuvenating agent in human cells. These are cell-level findings, not demonstrated human lifespan or health benefits.
Supporting source [1]
How to interpret this
This is an abstract only; the full text was not reviewed. The abstract does not report sample sizes, follow-up, validation details or effect sizes, and the compound and genetic findings come from cell and dataset analyses, not human lifespan outcomes.
Based on the study abstract; the full paper, tables and supplementary data were not reviewed.
Source & supporting passages
Salignon J, Tsiokou M, Marqués P, Rodríguez-Diaz E, Ang H, Pietrocola F, Riedel CG. · europepmc.org · July 27, 2026