While technologies such as flow or mass cytometry have been pivotal for answering complex questions in immunology, continuing advances in the field will require the integration of multiomic single-cell data, which provides access to multiple readouts at once for thousands to millions of single cells.
Single-cell multiomic immunology allows researchers to learn more from a single sample, without having to split it into parts, and improves reproducibility by profiling thousands of cells at a time enabling easy aggregation or comparison of samples.
This guide provides a comprehensive overview of multiomic single-cell immunology, including the types of studies it enables, specific tools for high-resolution multiomic immunology, how to plan an experiment, and considerations for data analysis.
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