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. Author manuscript; available in PMC: 2019 Feb 1.
Published in final edited form as: Mol Aspects Med. 2017 Aug 30;59:70–84. doi: 10.1016/j.mam.2017.08.005

Figure 2. Workflow for high-dimension single-cell experiments.

Figure 2

(A) The predominant methods currently used for isolation of single cells are flow sorting and microfluidics. Examples of microfluidic methods include inDrop (Klein et al., 2015), Drop-seq (Macosko et al., 2015), and Seq-Well (Gierahn et al., 2017). (B) The single-cell analysis of cancer proceeds from discovery of heterogeneity using unbiased, high-dimension methods on a relatively small number of patients to validation in a greater number of patients using targeted techniques.