Cell Senescence ‘Barcodes’ Identified with Raman Microscopy and Gene Expression Data
Researchers combined Raman microscopy with gene expression data at single-cell resolution from the same cells, and AI, to develop RamanOmics, a noninvasive way to detect biomarkers of cellular senescence as “barcodes." The post Cell Senescence ‘Barcodes’ Identified with Raman Microscopy and Gene Expression Data appeared first on GEN - Genetic Engineering and Biotechnology News .
Cell senescence, a state where cells cease dividing but do not die, can contribute to various age-related disorders such as cancer, tissue degeneration, and inflammatory diseases. MIT researchers have developed a noninvasive technique to detect biomarkers of senescence, called RamanOmics. Using Raman microscopy and gene expression data at single-cell resolution, RamanOmics can identify unique "barcodes" to quickly identify senescent cells, even in human tissue. The researchers envision a future endoscope that can detect cellular senescence within the body.
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