The field of single-cell RNA sequencing (scRNA-seq) has been paired with genomics, epigenomics, spatial omics, proteomics and imaging to achieve multimodal measurements of individual cellular phenotypes and genotypes. In its purest form, single-cell multimodal omics involves the simultaneous detection of multiple traits in the same cell. More broadly, multimodal omics also encompasses comparative pairing and computational integration of measurements made across multiple distinct cells to reconstruct phenotypes. Here I highlight some of the biological insights gained from multimodal studies and discuss the challenges and opportunities in this emerging field.
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Acknowledgements
I am grateful to J. Farrell, S. Mango and B. Raj for comments on the manuscript and to the US National Institutes of Health, the McKnight Endowment Fund for Neuroscience, the Allen Discovery Center for Cell Lineage Tracing, Harvard University and the University of Basel for support.
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Schier, A.F. Single-cell biology: beyond the sum of its parts. Nat Methods 17, 17–20 (2020). https://doi.org/10.1038/s41592-019-0693-3
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