Author:
Rocha R. A.,Fox J. M.,Genever P. G.,Hancock Y.
Abstract
AbstractEasy, 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.
Funder
CNPq
Science Without Borders
University of York, UK
Wellcome Trust
Centre for Chronic Diseases and Disorders
Publisher
Springer Science and Business Media LLC
Reference46 articles.
1. Stockholm, D. et al. The origin of phenotypic heterogeneity in a clonal cell population in vitro. PLoS One 4, e394 (2007).
2. Avery, S. V. Microbial cell individuality and the underlying sources of heterogeneity. Nat. Rev. Microbiol. 4, 577 (2006).
3. Chang, H. H., Hemberg, M., Barahona, M., Ingber, D. E. & Huang, S. Transcriptome-wide noise controls lineage choice in mammalian progenitor cells. Nature 453, 544–547 (2008).
4. Cooper, G. M. The Cell: A Molecular Approach (Sinauer Associates Inc., Sunderland, 2002).
5. Cohen, A. A. et al. Dynamic proteomics of individual cancer cells in response to a drug. Science 322, 11511–1516 (2008).
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献