Degenerative diseases progress through gradual cell-intrinsic damage that is difficult to resolve with bulk transcriptomics or discrete cell-state analysis. We introduce a generalizable single-cell and spatial transcriptomics framework that quantifies continuous damage trajectories in vivo using cell-type-specific scor...
Tsimafei Padvitski, Paula Unger Avila, He Chen et al.· Cell Genomics· 1 citation
Drugs for aging-related diseases may modulate aging itself, but standard clinical trial designs cannot detect such effects. Aging clocks could close this gap, but epigenetic models often yield inconsistent, hard-to-interpret results. In contrast, proteomic clocks, by tracking the immediate effectors of biological chang...
Alex Zhavoronkov, F. Galkin, Shan Chen et al.· Nature Biotechnology· 1 citation
This work presents SACCELERATOR, an open-source, extensible framework that formalizes expert-guided spatial clustering analysis, and proposes a consensus-guided workflow where descriptive spatial metrics highlight high-entropy regions of method disagreement, enabling targeted feedback for tissue experts.
Jieran Sun, Kirti Biharie, Peiying Cai et al.· Nature Methods· 0 citations
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