Quantitative modeling of signaling in aggressive B cell lymphoma unveils conserved core network
Fig 5
BL-2-derived network structure sets a veritable starting base to develop networks for DLBCL cell lines HBL-1 and OCI-LY3.
(A) Systematic perturbation data of bead-based ELISA measurements of the DLBCL cell lines HBL-1 and OCI-LY3 quantified as log2 fold changes to solvent control (DMSO); mean of n = 3. (B) Goodness of fit expressed as reduced chi-square statistic Xr on selected network structures for the two DLBCL cell lines HBL-1 and OCI-LY3. literature–network from Fig 1B; BL-2 –BL-2 network derived from Fig 1C; adjusted from BL-2 –BL-2 network locally adjusted to respective DLBCL cell line; OCI-LY3/HBL-1 –final adjusted network of respective other DLBCL cell line (see C). (C) Network structures of BL-2 derived starting network and final DLBC-specific networks trained on HBL-1 and OCI-LY3 data (see A). (D) Side-by-side comparison of the model coefficient (path)s (log scale) with fixed inhibitor strengths set to mean of both cell line models. Empty tiles indicate missing links in one of the cell lines (individual links). Asterisks point to non-overlapping confidence intervals as estimated by STASNet profile likelihood function (see S2 Table).