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

20 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

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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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Sampling strategies to capture single-cell heterogeneity

Abstract

ASJC Scopus subject areas

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