Single-Cell Genomics: Approaches and Utility in Immunology

Publication date: Available online 13 January 2017
Source:Trends in Immunology
Author(s): Karlynn E. Neu, Qingming Tang, Patrick C. Wilson, Aly A. Khan
Single-cell genomics offers powerful tools for studying immune cells, which make it possible to observe rare and intermediate cell states that cannot be resolved at the population level. Advances in computer science and single-cell sequencing technology have created a data-driven revolution in immunology. The challenge for immunologists is to harness computing and turn an avalanche of quantitative data into meaningful discovery of immunological principles, predictive models, and strategies for therapeutics. Here, we review the current literature on computational analysis of single-cell RNA-sequencing data and discuss underlying assumptions, methods, and applications in immunology, and highlight important directions for future research.



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