Challenges and emerging directions in single-cell analysis

Guo Cheng Yuan; Long Cai; Michael Elowitz; Tariq Enver; Guoping Fan; Guoji Guo; Rafael Irizarry; Peter Kharchenko; Junhyong Kim; Stuart Orkin; John Quackenbush; Assieh Saadatpour; Timm Schroeder; Ramesh Shivdasani; Itay Tirosh

doi:10.1186/s13059-017-1218-y

Challenges and emerging directions in single-cell analysis

Guo Cheng Yuan, Long Cai, Michael Elowitz, Tariq Enver, Guoping Fan, Guoji Guo, Rafael Irizarry, Peter Kharchenko, Junhyong Kim, Stuart Orkin, John Quackenbush, Assieh Saadatpour, Timm Schroeder, Ramesh Shivdasani, Itay Tirosh

Research output: Contribution to journal › Letter › peer-review

236 Scopus citations

Abstract

Single-cell analysis is a rapidly evolving approach to characterize genome-scale molecular information at the individual cell level. Development of single-cell technologies and computational methods has enabled systematic investigation of cellular heterogeneity in a wide range of tissues and cell populations, yielding fresh insights into the composition, dynamics, and regulatory mechanisms of cell states in development and disease. Despite substantial advances, significant challenges remain in the analysis, integration, and interpretation of single-cell omics data. Here, we discuss the state of the field and recent advances and look to future opportunities.

Original language	English
Article number	84
Journal	Genome Biology
Volume	18
Issue number	1
DOIs	https://doi.org/10.1186/s13059-017-1218-y
State	Published - 8 May 2017
Externally published	Yes

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title = "Challenges and emerging directions in single-cell analysis",

abstract = "Single-cell analysis is a rapidly evolving approach to characterize genome-scale molecular information at the individual cell level. Development of single-cell technologies and computational methods has enabled systematic investigation of cellular heterogeneity in a wide range of tissues and cell populations, yielding fresh insights into the composition, dynamics, and regulatory mechanisms of cell states in development and disease. Despite substantial advances, significant challenges remain in the analysis, integration, and interpretation of single-cell omics data. Here, we discuss the state of the field and recent advances and look to future opportunities.",

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AU - Yuan, Guo Cheng

AU - Cai, Long

AU - Elowitz, Michael

AU - Enver, Tariq

AU - Fan, Guoping

AU - Guo, Guoji

AU - Irizarry, Rafael

AU - Kharchenko, Peter

AU - Kim, Junhyong

AU - Orkin, Stuart

AU - Quackenbush, John

AU - Saadatpour, Assieh

AU - Schroeder, Timm

AU - Shivdasani, Ramesh

AU - Tirosh, Itay

PY - 2017/5/8

Y1 - 2017/5/8

N2 - Single-cell analysis is a rapidly evolving approach to characterize genome-scale molecular information at the individual cell level. Development of single-cell technologies and computational methods has enabled systematic investigation of cellular heterogeneity in a wide range of tissues and cell populations, yielding fresh insights into the composition, dynamics, and regulatory mechanisms of cell states in development and disease. Despite substantial advances, significant challenges remain in the analysis, integration, and interpretation of single-cell omics data. Here, we discuss the state of the field and recent advances and look to future opportunities.

AB - Single-cell analysis is a rapidly evolving approach to characterize genome-scale molecular information at the individual cell level. Development of single-cell technologies and computational methods has enabled systematic investigation of cellular heterogeneity in a wide range of tissues and cell populations, yielding fresh insights into the composition, dynamics, and regulatory mechanisms of cell states in development and disease. Despite substantial advances, significant challenges remain in the analysis, integration, and interpretation of single-cell omics data. Here, we discuss the state of the field and recent advances and look to future opportunities.

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SN - 1474-7596

VL - 18

JO - Genome Biology

JF - Genome Biology

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Challenges and emerging directions in single-cell analysis

Abstract

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