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 |