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Related Experiment Video

Updated: Jan 16, 2026

An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects
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Single-Cell Raman Spectroscopy Combined with Metabolomics Reveals Distinct Metabolic Profiles in Medulloblastoma

Yijia Peng1, Minghui Li1, Yujie Liu1

  • 1Shanghai Institute for Pediatric Research, Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.

Analytical Chemistry
|September 26, 2025
PubMed
Summary

Raman spectroscopy (RS) offers a rapid, label-free method for distinguishing medulloblastoma (MB) subtypes by analyzing single-cell metabolism. This technique reveals metabolic differences crucial for precise treatment strategies and understanding tumor progression.

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Area of Science:

  • Biomedical Optics
  • Molecular Spectroscopy
  • Cancer Research

Background:

  • Medulloblastoma (MB) tumor heterogeneity complicates precise treatment.
  • Need for rapid, accurate subtyping tools for clinical decisions.

Purpose of the Study:

  • To evaluate Raman spectroscopy (RS) for label-free, single-cell medulloblastoma subtyping.
  • To correlate metabolic profiles with MB subtypes and drug response.

Main Methods:

  • Profiling of five MB cell lines (Group 3, SHH subtypes) and microglial controls using RS.
  • Validation of RS data with mass spectrometry-based metabolomics.
  • Application of machine learning classifiers for subtype discrimination.

Main Results:

  • RS identified subtype-specific metabolic fingerprints (nucleic acids, amino acids, lipids, proteins).
  • Group 3 MB cells showed higher unsaturated lipids than SHH subtype cells.
  • Machine learning models achieved high diagnostic accuracy (AUC 0.994).
  • Cisplatin treatment induced distinct metabolic shifts in different MB subtypes.

Conclusions:

  • RS enables molecule-resolved, label-free subtyping of medulloblastoma.
  • Metabolic diversity, particularly lipid metabolism, is key to MB progression and therapy.
  • RS combined with metabolomics aids in therapeutic stratification for MB patients.