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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