Sampling strategies to capture single-cell heterogeneity

Satwik Rajaram, Louise E. Heinrich, John D. Gordan, Jayant Avva, Kathy M. Bonness, Agnieszka K. Witkiewicz, James S. Malter, Chloe E. Atreya, Robert S. Warren, Lani F. Wu, Steven J. Altschuler

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)967-970
Number of pages4
JournalNature Methods
Volume14
Issue number10
DOIs
StatePublished - Oct 1 2017
Externally publishedYes

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ASJC Scopus subject areas

  • Biotechnology
  • Biochemistry
  • Molecular Biology
  • Cell Biology

Cite this

Rajaram, S., Heinrich, L. E., Gordan, J. D., Avva, J., Bonness, K. M., Witkiewicz, A. K., Malter, J. S., Atreya, C. E., Warren, R. S., Wu, L. F., & Altschuler, S. J. (2017). Sampling strategies to capture single-cell heterogeneity. Nature Methods, 14(10), 967-970. https://doi.org/10.1038/nmeth.4427