Fibroblast Growth Factor (acidic) (FGF-1)
Responses to ligand
|Ligand family||FGF ligand|
|HMS LINCS ID||200860|
|Molecular weight||17 kDa|
Time course response
Fold-change response of pERK and pAKT following 10, 30 or 90 minutes treatment with FGF-1 at 1ng/ml (left) or 100ng/ml (right). Colored trajectories represent the indicated cell lines and all remaining cell lines are gray. Non-significant responses (below ~1.2-fold) are set to 1.
(Left) Distribution of the pathway bias across cell lines for FGF-1 (in black) and 2 reference ligands (IGF-1, yellow; and EGF, red) where the bias is defined as the arctangent of the ratio of the pAKT to pERK fold change responses (maximum across the three time points at 100ng/ml). (Right) Distribution of the pathway bias for all ligands that exhibited a least 50% significant responses across all cell lines when stimulated at 100ng/ml. Ligands are sorted according the median of the pathway bias and colored as in the left panel.
Fold change pERK (left) and pAKT (right) responses following treatment with FGF-1 at 1ng/ml and 100ng/ml (maximum response across 10, 30 and 90 minutes). Colored trajectories represent the indicated cell lines and all remaining cell lines are gray. Non-significant responses (below ~1.2-fold) are set to 1.
Distribution of sensitivity classes by ligands for pERK (left) and pAKT (right): ‘Equal’ (red) means that the fold change response at low dose is at least 75% of the high dose response; ‘100ng>1ng’ (blue) means that low dose response is statistically significant but less than 75% of the high dose response; ‘only 100ng’ (yellow) means that only the high dose response is significant.
Distribution of the kinetics of the responses at 100mg/ml for FGF-1 (left) and the different ligand families (ErbB ligands, Ins/IGF ligands, FGF-1/2, and all remaining ligands) for pAKT (top) and pERK (bottom). Kinetics classes are determined by an unsupervised k-means clustering of the time-series data that identified trajectories that correspond to sustained, transient, late, or no response.
When using any of the data or analysis presented here, please cite Niepel et al., BMC Biology, 2014. For more information, contact Mario Niepel (email@example.com).