Journal
SCIENTIFIC REPORTS
Volume 11, Issue 1, Pages -Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41598-021-81991-1
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Funding
- CNPq
- Science Without Borders
- University of York
- Wellcome Trust through the Centre for Chronic Diseases and Disorders (C2D2) at the University of York [097829]
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This study demonstrates the use of Raman spectroscopy for classifying and stratifying bone-derived mesenchymal stromal cells based on biological function, with quantified assessment of biomolecular stratification and cell heterogeneity achieved through high-precision measurements and statistical sampling. The results show the potential of these methods as label-free assays for cell sub-type classification within complex heterogeneous populations, with implications for therapeutic translation and phenotypic characterisation of various cells.
Easy, quantitative measures of biomolecular heterogeneity and high-stratified phenotyping are needed to identify and characterise complex disease processes at the single-cell level, as well as to predict cell fate. Here, we demonstrate how Raman spectroscopy can be used in the difficult-to-assess case of clonal, bone-derived mesenchymal stromal cells (MSCs) to identify MSC lines and group these according to biological function (e.g., differentiation capacity). Biomolecular stratification is achieved using high-precision measures obtained from representative statistical sampling that also enable quantified heterogeneity assessment. Application to primary MSCs and human dermal fibroblasts shows use of these measures as a label-free assay to classify cell sub-types within complex heterogeneous cell populations, thus demonstrating the potential for therapeutic translation, and broad application to the phenotypic characterisation of other cells.
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