Label-free Raman imaging of live osteosarcoma cells with multivariate analysis

Appl Microbiol Biotechnol. 2019 Aug;103(16):6759-6769. doi: 10.1007/s00253-019-09952-3. Epub 2019 Jun 22.

Abstract

Confocal Raman microspectral imaging (CRMI) is an advanced cell-imaging method that maps endogenous molecular compositions with their unique spectral fingerprint indicators. The aim of this work was to provide a visualized understanding of subcellular features of live osteosarcoma cells using a 532-nm laser excitation without the use of dyes or molecular probes. Both malignant osteoblast and spindle osteosarcoma cells derived from the BALB/c mouse osteosarcoma cell line K7M2 were investigated in this work. After preprocessing the obtained spectral dataset, K-means cluster analysis (KCA) is employed to reconstruct Raman spectroscopic maps of single biological cells by identifying regions of the cellular membrane, cytoplasm, organelles, and nucleus with their corresponding mean spectra. Principal component analysis (PCA) was further employed to indicate variables of significant influence on the separation of the spectra of each cellular component. The biochemical components of the two cell types were then extracted by showing the spectral and distribution features attributed to proteins, lipids, and DNA. Using this standardized CRMI technique and multivariate analysis approaches, the results obtained could be a sound foundation for a typical Raman imaging protocol of live cellular biomedical analysis.

Keywords: Confocal Raman microspectral imaging; K-means cluster analysis; Live osteosarcoma cells; Multi-variate analysis; Principal component analysis.

MeSH terms

  • Animals
  • Biological Factors / analysis*
  • Cell Line, Tumor / chemistry*
  • Mice
  • Mice, Inbred BALB C
  • Multivariate Analysis
  • Nonlinear Optical Microscopy / methods*
  • Osteosarcoma / pathology*
  • Single-Cell Analysis / methods*

Substances

  • Biological Factors