Understanding tumor ecosystems by single-cell sequencing: promises and limitations

Table 1 Recent progress of cancer studies based on single-cell sequencing

Technology	Study topic	References
Single-cell DNA-seq	Heterogeneity of cancer clones	[18, 33, 40, 45, 157]
Single-cell DNA-seq	Mutation profiles of CTCs	[16, 43]
Single-cell RNA-seq	Expression patterns of cancer cells upon treatment	[19, 29, 46, 165]
Single-cell RNA-seq	Expression heterogeneity and dynamics of cancer cells	[22, 37, 38, 41, 44]
Single-cell RNA-seq	Expression patterns of CTCs	[31]
Single-cell RNA-seq	Heterogeneity of tumor microenvironment	[47,48,49,50,51,52, 55,56,57,58,59]
Single-cell RNA-seq, mass cytometry	Heterogeneity of tumor microenvironment	[53, 54]
Single-cell DNA-seq and RNA-seq	Integrated analysis of cancer cells	[20, 166]
Single-cell epigenomics	Epigenomics of cancer cells	[187]
Single-cell multi-omics	Multi-omics analyses of the same cancer cells	[32]
Single-cell-derived organoids	Diversification of cancer cells	[42]
Spatial single-cell sequencing	Spatial heterogeneity and metastasis of cancer cells	[21, 30]
Single-cell DNA-seq	Amplification methods	[7, 8, 39, 40, 172, 206,207,208]

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