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

doi:10.1038/nmeth.4427

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 journal › Article › peer-review

25 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 language	English (US)
Pages (from-to)	967-970
Number of pages	4
Journal	Nature Methods
Volume	14
Issue number	10
DOIs	https://doi.org/10.1038/nmeth.4427
State	Published - Oct 1 2017
Externally published	Yes

ASJC Scopus subject areas

Biotechnology
Biochemistry
Molecular Biology
Cell Biology

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10.1038/nmeth.4427

Cite this

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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.",

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

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AU - Rajaram, Satwik

AU - Heinrich, Louise E.

AU - Gordan, John D.

AU - Avva, Jayant

AU - Bonness, Kathy M.

AU - Witkiewicz, Agnieszka K.

AU - Malter, James S.

AU - Atreya, Chloe E.

AU - Warren, Robert S.

AU - Wu, Lani F.

AU - Altschuler, Steven J.

PY - 2017/10/1

Y1 - 2017/10/1

N2 - 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.

AB - 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.

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UR - https://www.scopus.com/pages/publications/85031027920#tab=citedBy

U2 - 10.1038/nmeth.4427

DO - 10.1038/nmeth.4427

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JO - Nature Methods

JF - Nature Methods

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ER -

Sampling strategies to capture single-cell heterogeneity

Abstract

ASJC Scopus subject areas

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