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Sampling strategies to capture single-cell heterogeneity.

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.

SUBMITTER: Rajaram S

PROVIDER: S-EPMC5658002 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

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Sampling strategies to capture single-cell heterogeneity.

Rajaram Satwik S Heinrich Louise E LE Gordan John D JD Avva Jayant J Bonness Kathy M KM Witkiewicz Agnieszka K AK Malter James S JS Atreya Chloe E CE Warren Robert S RS Wu Lani F LF Altschuler Steven J SJ

Nature methods 20170904 10

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 ...[more]

PMID: 28869755

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