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A guide to systems-level immunomics
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DOI：10.1038/s41590-022-01309-9.png)
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Abstract
En 中文
The immune system is highly complex and distributed throughout an organism, with hundreds to thousands of cell states existing in parallel with diverse molecular pathways interacting in a highly dynamic and coordinated fashion. Although the characterization of individual genes and molecules is of the utmost importance for understanding immune-system function, high-throughput, high-resolution omics technologies combined with sophisticated computational modeling and machine-learning approaches are creating opportunities to complement standard immunological methods with new insights into immune-system dynamics. Like systems immunology itself, immunology researchers must take advantage of these technologies and form their own diverse networks, connecting with researchers from other disciplines. This Review is an introduction and 'how-to guide' for immunologists with no particular experience in the field of omics but with the intention to learn about and apply these systems-level approaches, and for immunologists who want to make the most of interdisciplinary networks. The explosion of single-cell and systems approaches in immunology risks leaving the uninitiated behind. This guide to systems immunology is designed for immunologists who want an introduction to the area.
Keywords:
DIFFERENTIAL EXPRESSION ANALYSIS
SINGLE-CELL TRANSCRIPTOMICS
RNA-SEQ
CHROMATIN ACCESSIBILITY
REVEALS
OMICS
SIGNATURES
BIOLOGY
STATE
IMMUNOLOGY
Journal
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27.6
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6.4K
Citations:
5.6W
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