Table 1 |.
Most common scRNA-seq techniques
| Technique | UMI length (bp) | Number of genes or cells analysed | Sensitivity | Dropout | Amplification noise | Cost per cell | Single-cell capture method | Year | Refs |
|---|---|---|---|---|---|---|---|---|---|
| Full-length transcript | |||||||||
| Smart-seq/C1 | 0 | ++ | ++ | ++ | ++++ | +++ | Plate | 2012 | 22 |
| Smart-seq2 | 0 | +++ | ++++ | + | +++ | +++ | Plate | 2014 | 23 |
| 3ʹ-end counting | |||||||||
| MARS-seq | 8 | + | + | +++ | ++ | +++ | Microfluidic | 2014 | 139 |
| Drop-seq | 8 | + | +++ | +++ | + | ++ | Droplet | 2015 | 20 |
| CEL-seq2/C1 | 6 | +++ | ++ | ++ | + | +++ | Microfluidic | 2016 | 27 |
| SORT-seq | 4 | +++ | +++ | ++ | ++ | ++ | Plate | 2016 | 71 |
| 10× Genomics | 10 | +++ | ++ | +++ | + | + | Droplet | 2017 | 28 |
| mcSCRB-seq | 10 | ++ | ++ | ++ | + | +++ | Plate | 2018 | 140 |
| 5ʹ-end counting | |||||||||
| WaferGen | 10 | +++ | ++ | ++ | +++ | +++ | Nanowell | 2017 | 141 |
CEL-seq, cell expression by linear amplification and sequencing; MARS-seq, massively parallel single-cell RNA-sequencing; mcSCRB-seq, molecular crowding single-cell RNA barcoding and sequencing; scRNA-seq, single-cell RNA sequencing; Smart-seq, switching mechanism at the 5′ end of the RNA template sequencing; SORT-seq, sorting and robot-assisted transcriptome sequencing; UMI, unique molecular identifier.