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Table 1 Summary of average mRNA/gene detection sensitivities and capture rates for each single-cell RNA-seq method

From: Systematic comparison of high-throughput single-cell RNA-seq methods for immune cell profiling

Method

Avg Multiplet Rate

Avg Cell Capture Efficiency

Avg Library Pool Efficiency

Median nUMIs (EL4)

Median nGenes (EL4)

GD50 EL4 (FPKM)

Avg nDE genes

Avg nDE genes (> 1.5 FC in bulk)

Recall (mean ± sd)

Precision (mean ± sd)

10x 3’ v2

0.46%

29.50%

57.90%

21,570

3,882

20.2

3,314

2,711

0.462 ± 0.005

0.818± 0.003

10x 3’ v3

1.75%

61.90%*

75.90%

28,006*

4,776*

13.6*

4,005

3,388

0.577 ± 0.007

0.846 ± 0.004

10x 5’ v1

0.49%

50.70%

76.50%

25,988

4,470

16.8

4,797*

3,491*

0.595 ± 0.006*

0.728 ± 0.008

ddSEQ

0.45%*

1.01%

18.10%

10,466

3,644

25

2,740

2,397

0.501 ± 0.002

0.875 ± 0.003

Drop-seq

0.55%

0.36%

17.80%

8,791

3,255

26.7

2,824

2,504

0.453 ± 0.004

0.887 ± 0.003*

ICELL8 3' DE

2.18%

8.63%

93.00%*

16,909

2,849

37.9

1,815

1,528

0.260 ± 0.004

0.842 ± 0.008

ICELL8 3' DE-UMI

0.98%

7.20%

92.90%

2,792

1,288

112.1

985

861

0.147 ± 0.005

0.873 ± 0.00

  1. *: The value with the best performance for each parameter is highlighted in bold