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Table 1 Single-cell sequencing technologies

From: The single-cell sequencing: new developments and medical applications

Single-cell sequencing Characteristics Functions
Separate application
 SCI-seq3 Single-cell combination marker Construction of single-cell libraries and detection of cell copy number variation
 LIANTI4 Single cell whole genome amplification Detection of cell copy number variation and disease-related mutations
 scCOOL-seq5 Single cell multiplex sequencing Detection of chromatin status/nucleosome localization, DNA methylation, copy number variation and ploidy
 TSCS6 Provide accurate spatial location information Describe the spatial characteristics of individual tumor cells
 SiC-seq7 High throughput and low deviation Extensive genomic research on different cells
 Microwell-seq8 High throughput and low cost Improve the detection abundance of single cell sequencing technology
 SPLit-seq9 Combine barcode principle and low cost Single cell transcriptome sequencing
Joint application
 CROP-seq10 High throughput Analysis of complex regulatory mechanisms and functions of heterogeneous cell populations
 CRISPRi + scRNA-seq11 High throughput Analyze the function of regulatory elements and the relationship between regulatory elements and cells
 Single-Nucleus RNA-Seq +DroNc-Seq12 High sensitivity and high cell sorting efficiency A variety of cells can be accurately analyzed. It may be used in the Human Cell Atlas Project in the future
 snDrop-seq + scTHS-seq13 High throughput It can be used to detect nuclear transcripts and epigenetic features, or related analysis of frozen tissue in humans