Table 1 Comparisons of detail analysis results between MUSIC and MIMOSCA
From: Model-based understanding of single-cell CRISPR screening
Datasets | Technology | Demonstrated perturbation | Output | MIMOSCA | MUSIC |
|---|---|---|---|---|---|
Mouse BMDC (3 h post-LPS, GSM2396856) | Perturb-Seq5 | Cebpb | Overall perturbation effect | — | Rank 2nd |
Topic-specific functional perturbation effect | Immune cells activation | • Immune cells activation21 • Cell migration22 | |||
Perturbations relationship | • Cebpb and Nfkb1, Runx1, Irf4, Spi1 have opposing effects. | cor(Cebpb, Nfkb1) = -0.99 cor(Cebpb, Runx1) = −0.99 cor(Cebpb, Irf4) = − 0.99 cor(Cebpb, Spi1) = − 0.96 | |||
• Cebpb and Rela, HIF1a, Stat3, Junb have reinforcing activation. | cor(Cebpb, Rela) = 0.99 cor(Cebpb, HIF1a) = 0.98 cor(Cebpb, Stat3) = 0.99 cor(Cebpb, Junb) = 0.93 | ||||
Human K562 (7 days post transduction, GSM2396858) | Perturb-Seq5 | GABPA | Overall perturbation effect | — | Rank 2nd |
Topic-specific functional perturbation effect | Mitochondrial function | • Heme metabolic process • Neutrophil activation35 | |||
Perturbation relationship | — | cor(GABPA, ELK1) = 0.8936 | |||
Human K562 (cell cycle regulators, GSM2396861) | Perturb-Seq5 | AURKA | Overall perturbation effect | — | Rank 1st |
Topic-specific functional perturbation effect | Proliferation | Proliferation | |||
Perturbation relationship | AURKA, TOR1AIP1, and RACGAP1 perturbed similar. | cor(AURKA, TOR1AIP1) = 0.70 cor(AURKA, RACGAP1) = 0.85 cor(TOR1AIP1, RACGAP1) = 0.75 |
