SenCat: A Multi-omic Atlas for Decoding Human Cell Senescence
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DOI: 10.1016/j.molcel.2026.05.017
Key-words: SenCat, cellular senescence, multi-omics, transcriptomics, proteomics, machine learning, primary human cells, RNA-seq, single-nucleus RNA sequencing, mass spectrometry, doxorubicin, physiological aging, tissue repair, metabolic reprogramming, biomarker signatures, p53 pathway, NF-κB, epithelial-to-mesenchymal transition, apoptosis, hypoxia, in vivo senescence, senescence scoring, AUCell, fibroblasts, SenNet.
The Sanz Science Experience · 7 min · Source published: 2026-06-15
Added to Harbor: 10/22/2026
Original on YouTube ↗Automatically categorized source. Creator statements are not an independent evidence review or personal medical guidance.