The abstract is read at the publisher; the summary is JClub's.
RamanOmics identifies a conserved lipid-linked Raman signature at 1,131–1,135 cm−1 that marks p21+ senescent cells across young and old mouse lung and skin.
- Why it matters: Existing senescence and repair definitions depend on isolated markers, missing how biochemical and transcriptional programs co-evolve within tissue space.
- What they did: The study integrates label-free hyperspectral Raman imaging with single-nucleus RNA-seq and spatial transcriptomics, then trains a machine-learning multimodal barcode for nondestructive in situ senescence detection.
- The result: In a mouse wound-healing model, RamanOmics links senescent cells to reactivated epidermal differentiation genes (Krt10, Lor, Sbsn) and increased lipid-associated Raman signatures, enabling spatial tracking of senescence during repair.
The findingWhy it mattersWhat they didThe result
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