Sampling strategies to capture single-cell heterogeneity

Nat Methods. 2017 Oct;14(10):967-970. doi: 10.1038/nmeth.4427. Epub 2017 Sep 4.


Advances in single-cell technologies have highlighted the prevalence and biological significance of cellular heterogeneity. A critical question researchers face is how to design experiments that faithfully capture the true range of heterogeneity from samples of cellular populations. Here we develop a data-driven approach, illustrated in the context of image data, that estimates the sampling depth required for prospective investigations of single-cell heterogeneity from an existing collection of samples.

MeSH terms

  • Adenocarcinoma / pathology*
  • Biomarkers, Tumor
  • Carcinoma, Non-Small-Cell Lung / pathology*
  • Cell Culture Techniques
  • Cell Line
  • Gene Expression Regulation, Neoplastic
  • Humans
  • Lung Neoplasms / pathology*
  • Single-Cell Analysis / methods*


  • Biomarkers, Tumor