Surface-enhanced Raman scattering spatial fingerprinting decodes the digestion behavior of lysosomes in live single cells

Abstract

Lysosome, the digestive organelle in eukaryotic cells, plays an important role in the degradation and recirculation of cellular products as well as in maintaining the stability of cellular metabolic microenvironment. Surface-enhanced Raman scattering (SERS) is a molecular fingerprint technology with high detection sensitivity and photostability, suited for revealing various intracellular molecular information by inducing endocytosis of SERS-active nanoparticles. However, it remains challenging to selectively extract the molecular information of specific organelles (e.g., lysosomes) from a high-dimensional spectral set. Herein, we proposed a novel paradigm by combining label-free SERS spectroscopy with confocal fluorescence imaging to investigate the digestion behavior of lysosomes in cells. The structural similarity algorithm was innovatively introduced and exhibited its effectiveness in screening out the wavenumbers in the SERS spectral set with high correlation with the metabolic behaviors of lysosomes. With comprehensive experiments on HeLa single cells, we captured the intracellularmacromolecular digestion phenomenon and discovered the changing pattern of cellular SERS spectra after starvation-induced autophagy, and analyzed the molecular information within the lysosomes in three-dimensional space.

Keywords

lysosomal digestion / nanoparticles / structural similarity / surface-enhanced Raman scattering

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