Table 2.
A | |||||||
---|---|---|---|---|---|---|---|
Gene Symbol | Hurdle Model Fold-Change | ||||||
Mutant 1 + 2 vs WT 1 + 2 | Mutant 3 vs Mutant 1 + 2 | Mutant 1 vs WT 1 | Mutant 2 vs WT 2 | Mutant 3 vs WT 1 + 2 | WT 1 vs WT 2 | Mutant 1 vs Mutant 2 | |
evx1 | ↓1.77 *** | ↓2.45 *** | ↓1.67 * | ↓1.86 *** | ↓4.32 *** | ↓1.03 *** | ↑1.08 |
evx2 | ↓17.73 *** | ↓1.50 * | ↓15.10 *** | ↓20.31 *** | ↓26.41 *** | ↓1.61 *** | ↓1.19 ** |
slc17a6a | ↓15.87 *** | ↓1.04 | ↓14.50 *** | ↓15.50 *** | ↓16.51 *** | ↑1.75 *** | ↑1.87 *** |
slc6a5 | ↑6.87 *** | ↑28.60 *** | ↑4.79 *** | ↑8.39 *** | ↑195.57 *** | ↓1.91 *** | ↓3.33 *** |
slc6a1b | ↑7.71 *** | ↓1.54 | ↑201.72 *** | ↑1.41 *** | ↑5.01 *** | ↑1.03 | ↑147.81 *** |
gad1b | ↑1.44 *** | ↑1.50 | ↑3.72 *** | ↑1.08 ** | ↑2.17 *** | ↓1.01 | ↑3.41 *** |
skor1a | ↓1.18 ** | ↑1.17 * | ↓1.14 | ↓1.24 * | ↓1.00 * | ↓1.10 * | N.C. |
skor1b | ↓1.09 *** | N.C. | N.C. | N.C. | ↑1.05 | ↑1.37 *** | N.C. |
skor2 | ↓43.94 *** | ↓1.12 | ↓434.75 *** | ↓3.12 *** | ↓49.21 *** | ↑90.90 *** | ↓1.53 *** |
ebf3a | ↓4.24 *** | ↓1.25 | ↓18.44 *** | ↓1.18 *** | ↓5.28 *** | ↑9.15 *** | ↓1.71 ** |
uncx | ↑3.94 *** | ↓16.53 *** | ↑2.56 *** | ↑5.95 *** | ↓4.21 *** | ↑1.78 *** | ↓1.31 *** |
uncx4.1 | ↑1.10 | ↓1.02 | ↓1.05 | ↑1.18 *** | ↑1.07 | ↑1.29 *** | ↑1.04 |
nefma | ↑7.23 *** | ↑3.12 *** | ↑10.66 *** | ↑3.63 *** | ↑22.47 *** | ↑3.19 *** | ↑9.34 *** |
nefmb | ↑1.27 * | ↑40.64 *** | ↑1.96 *** | ↑1.07 | ↑51.55 *** | ↑1.98 *** | ↑3.61 *** |
neff1 | ↓8.12 *** | ↑21.65 *** | ↓22.08 *** | ↓3.53 *** | ↓2.68 *** | ↑7.27 *** | ↑1.16 |
inab | ↓3.65 *** | ↑1.25 | ↓6.43 *** | ↓2.03 *** | ↓2.92 *** | ↓1.14 *** | ↓3.61*** |
B | |||||||
Gene Symbol | ANOVA Fold-Change | ||||||
Mutant 1 + 2 vs WT 1 + 2 | Mutant 3 vs Mutant 1 + 2 | Mutant 1 vs WT 1 | Mutant 2 vs WT 2 | Mutant 3 vs WT 1 + 2 | WT 1 vs WT 2 | Mutant 1 vs Mutant 2 | |
evx1 | ↓1.07 *** | ↓2.37 *** | ↓1.24 * | ↑1.09 ** | ↓2.54 *** | ↑1.32 | ↓1.02 |
evx2 | ↓6.09 *** | ↓2.39 * | ↓7.96 *** | ↓4.98 *** | ↓14.59 *** | ↓1.05 ** | ↓1.68 |
slc17a6a | ↓5.33 *** | ↑1.20 | ↓4.47 *** | ↓7.53 *** | ↓4.46 *** | ↑1.52 *** | ↑2.57 *** |
slc6a5 | ↑5.39 *** | ↑6.94 *** | ↑6.21 *** | ↑5.11 *** | ↑37.44 *** | ↓2.94 *** | ↓2.42 *** |
slc6a1b | ↑138.60 *** | ↓2.52 *** | ↑186.10 *** | ↑13.82 *** | ↑54.94 *** | ↑2.63 | ↑35.38 *** |
gad1b | ↑34.98 *** | ↑1.17 | ↑74.42 *** | ↑4.31 * | ↑41.08 *** | ↓1.29 | ↑13.44 *** |
skor1a | ↓6.35 *** | ↑9.00 ** | ↓5.28 * | ↓7.44 ** | ↑1.42 | ↓1.38 | ↑1.02 |
skor1b | ↓12.24 *** | ↑10.27*** | ↓22.80 *** | ↓1.68 | ↓1.19 | ↑13.58 *** | N.C. |
skor2 | ↓16.64 *** | ↓10.94 | ↓141.98 *** | ↓1.63 *** | ↓182.04 *** | ↑10.43 *** | ↓8.35 *** |
ebf3a | ↓3.15 *** | ↓2.16 | ↓8.64 *** | ↑1.13 | ↓6.80 *** | ↑4.03 *** | ↓2.43 ** |
uncx | ↑2.25 *** | ↓4.51 *** | ↑1.63 *** | ↑3.18 *** | ↓2.00 *** | ↑1.49 *** | ↓1.31 |
uncx4.1 | ↑1.26 | ↑1.18 | ↓1.24 | ↑2.85 * | ↑1.49 | ↑3.51 *** | ↓1.01 |
nefma | ↑3.94 *** | ↑2.06 *** | ↑3.16 *** | ↑11.32 *** | ↑8.11 *** | ↑9.38 *** | ↑2.62 *** |
nefmb | ↑1.64 *** | ↑18.45 *** | ↑1.66 *** | ↑1.42 | ↑30.22 *** | ↑10.09 *** | ↑11.80 *** |
neff1 | ↓9.56 *** | ↑19.31 *** | ↓10.92 *** | ↓6.68 *** | ↑2.02 *** | ↑3.46 *** | ↑2.12 |
inab | ↓1.43 *** | ↑1.21 | ↓2.22 *** | ↓1.02 *** | ↓1.19 *** | ↑1.13 | ↓1.92 *** |
Gene-specific analyses of differential expression, created through (A) Hurdle model and (B) ANOVA statistical comparisons between distinct cell clusters in our 48 h evx1i232/+;evx2sa140/+ heterozygote incross single-cell atlas (see Fig 6A and also Methods for experimental details and rationale for using both statistical methods). The Hurdle model is generally the most statistically robust method for these analyses, if there are enough cells in each group. In contrast, ANOVA usually performs better when the numbers of cells being compared are very small (see Methods for more information). We are providing the data for both methods for completeness and comparison. Column 1 shows the gene symbol. Columns 2–8 show fold-change values. = fold-change increase, – = fold-change decrease in the antecedent (first) population compared to the consequent (second) population in each comparison. Statistically significant (P<0.05) values are indicated in bold.
P<0.001
P<0.01
P<0.05.
N.C. = Not Calculated. The differential expression analysis could not be calculated. In the case of skor1b, this is because there is no expression of this gene in some of the clusters. Mutant Groups 1 + 2 combined, Mutant Group 3, Mutant Group 1, Mutant Group 2, Mutant Group 3, WT Group 1, and Mutant Group 1 are the antecedent populations for columns 2, 3, 4, 5, 6, 7 and 8 respectively. WT Groups 1 + 2 combined, Mutant Groups 1 + 2 combined, WT Group 1, WT Group 2, WT Groups 1 + 2 combined, WT Group 2 and Mutant Group 2 are the consequent populations for columns 2, 3, 4, 5, 6, 7 and 8 respectively. Additional data for each comparison are available in Supp. Data Tables 2 (Hurdle model data) and 3 (ANOVA data).