Table 6.
Readout | Simple linear regression BM = intercept + slope*PB |
Bland-Altman Analysis Difference3 (BM − PB) |
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Modulator | Antibody | Color | R2 | Slope | p-value2 | Intercept | Bias estimate | Std Dev | p-value4 | Classification5 |
No Modulator | p-Akt | Alexa Fluor 488-A | 0.58 | 0.79 | <.0001 | 0.13 | 0.004 | 0.044 | 0.5649 | Equivalent |
No Modulator | p-Akt | Alexa Fluor 647-A | 0.74 | 0.93 | <.0001 | 0.09 | 0.042 | 0.046 | <.0001 | Other |
No Modulator | p-CREB | PE-A | 0.65 | 0.76 | <.0001 | 0.21 | −0.006 | 0.043 | 0.3769 | Equivalent |
No Modulator | p-ERK | Alexa Fluor 647-A | 0.76 | 0.85 | <.0001 | 0.11 | 0.015 | 0.033 | 0.0049 | Other |
No Modulator | p-ERK | PE-A | 0.63 | 0.61 | <.0001 | 0.37 | −0.005 | 0.035 | 0.3049 | Other |
No Modulator | p-PLCγ2 | PE-A | 0.69 | 0.95 | <.0001 | 0.03 | −0.011 | 0.029 | 0.0201 | Other |
No Modulator | p-S6 | Alexa Fluor 488-A | 0.47 | 0.63 | <.0001 | 0.34 | −0.01 | 0.043 | 0.1057 | Equivalent |
No Modulator (DMSO only) | p-S6 | Alexa Fluor 488-A | 0.58 | 1.01 | <.0001 | −0.02 | −0.013 | 0.032 | 0.0085 | Other |
No Modulator | p-SLP-76 | Alexa Fluor 647-A | 0.77 | 0.88 | <.0001 | 0.1 | 0.02 | 0.038 | 0.0012 | Other |
No Modulator | p-STAT1 | Alexa Fluor 488-A | 0.71 | 0.88 | <.0001 | 0.06 | −0.031 | 0.068 | 0.0037 | Other |
No Modulator | p-STAT3 | PE-A | 0.61 | 0.77 | <.0001 | 0.19 | −0.013 | 0.051 | 0.0908 | Equivalent |
No Modulator | p-STAT5 | Alexa Fluor 647-A | 0.73 | 0.82 | <.0001 | 0.17 | 0.027 | 0.049 | 0.0005 | Other |
Ua=Mann-Whitney U comparing modulated and auto fluorescence wells (No modulator)
p-value of the test that the slope equals 0.
When (BM-PB) and (BM+PB)/2 are not correlated, the difference between the BM and PB mean values is an unbiased estimate of the bias, the difference one would expect on average between BM and PB flow readouts.
When the p-value is marked in dark green, the bias is 0 and BM may be substituted for PB and vice-versa. When the p-value is marked in light green, the substition can be made with the addition (subtraction) of the bias.
Classification of the comparison of BM and PB for each nodemetric following the method of Altman and Bland (1983). Nodemetrics where the BM and PB values are judged equivalent are classified as “Equivalent” and can be used interchangeably on average. Nodemetrics classified as “Other” require further investigation before they can be used interchangeably.