A phenotypically supervised single-cell analysis protocol to study within-cell-type heterogeneity of cultured
Kevin Chen1, Kivilcim Ozturk2,3, Ted Liefeld2
1Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
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Here, we describe a protocol combining functional metrics with genomic data to elucidate drivers of within-cell-type heterogeneity via the phenotype-to-genotype link. This technique involves using fluorescence tagging to label and isolate cells grown in 3D culture, enabling high-throughput enrichment of phenotypically defined cell subpopulations by fluorescence-activated cell sorting. We then perform a validated phenotypically supervised single-cell analysis pipeline to reveal unique functional cell states, including genes and pathways that contribute to cellular heterogeneity and were undetectable by unsupervised analysis. For complete details on the use and execution of this protocol, please refer to Chen et al. (2020).
