Challenges And Emerging Directions In Single-Cell Analysis

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

doi:10.1186/s13059-017-1218-y

GenomicsGenome biologyMay 8, 2017

Peer-reviewed journal article

Challenges And Emerging Directions In Single-Cell Analysis

Guo‐Cheng Yuan iD, Long Cai iD, Michael B. Elowitz iD, Tariq Enver iD, Guoping Fan iD, Guoji Guo iD, Rafael A. Irizarry iD, Peter V. Kharchenko iD, Junhyong Kim iD, Stuart H. Orkin iD, John F Quackenbush iD, Assieh Saadatpour, Timm Schroeder iD, Ramesh A. Shivdasani iD, Itay Tirosh iD

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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