Single-Cell Genomics: Approaches and Utility in Immunology. Review uri icon

Overview

abstract

  • 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.

publication date

  • January 13, 2017

Research

keywords

  • Allergy and Immunology
  • Genomics
  • Immune System
  • Immunotherapy
  • Single-Cell Analysis

Identity

PubMed Central ID

  • PMC5479322

Scopus Document Identifier

  • 85009787124

Digital Object Identifier (DOI)

  • 10.3389/fgene.2016.00163

PubMed ID

  • 28094102

Additional Document Info

volume

  • 38

issue

  • 2