TABLE 1.

Single-cell omics technologies.

Omics	Methods	Feature
Single-cell transcriptome	STRT-seq, Smart-seq, CEL-seq, MARS-seq, Drop-seq, 10×Genomics, Seq-Well, Microwell-seq, SCRB-seq, SPLit-seq	mRNA in single cells was analyzed for gene expression quantification, functional enrichment, and metabolic pathways
Single-cell genome	MDA, DOP-PACR, MALBAC, LIANTI, META-CS	Analysis of single nucleotide site variation, CNV, and single-cell genomic structure variation
Single-cell epigenome	scBS-seq, scRRBS, scAba-seq, scATAC-seq, Drop-ChIP, scChIC-seq, CUT&Tag, Single-cell Hi-C	Analysis of DNA methylation to resolve epigenetic mechanisms
Single-cell protein mass spectrometry	SCoPE-MS, SCoPE2, sc-CyTOF	Conduct in-depth proteomic studies of key cell subsets that have been targeted, and further study of mechanisms at the protein level
Single-cell immune repertoire	scTCR-seq, scBCR-seq	Analyze the interaction status of T cells and B cells with tumor cells to study the immune response mechanism