TY - JOUR
T1 - Corrigendum to “Modeling signaling pathways in biology with MaBoSS
T2 - From one single cell to a dynamic population of heterogeneous interacting cells” [Comput. Struct. Biotechnol. 20 (2022) 5661–5671, (S2001037022004512), (10.1016/j.csbj.2022.10.003)]
AU - Calzone, Laurence
AU - Noël, Vincent
AU - Barillot, Emmanuel
AU - Kroemer, Guido
AU - Stoll, Gautier
N1 - Publisher Copyright:
© 2023
PY - 2023/1/1
Y1 - 2023/1/1
N2 - At the end of part 4.1, the percentages were slightly wrong and a word is not correct. Here is the same paragraph with the corrections in bold: “For simplificity, we set FAS to 0 as an initial condition and focus only on TNF-induced pathway activation. It is initially assumed that FADD is random (present or not), cIAP and ATP are active and all other components of the model are inactive. When TNF is ON, Survival can be activated with a probability of 2.2%, Death with a probability of 35.1%, the rest corresponding to the naive case (not shown on the graph). When a gene is mutated (the corresponding variable is set to 0 or 1 according to the type of mutation), these probabilities change. For instance, a mutation in ROS-related genes (knock-down of the node ROS (reactive oxygen species) in the model) strongly affects the proportion of surviving versus dying cells to 2.6% and 27.7%, respectively, highlighting the role of ROS-related genes in cell death (Fig. 4B).“. The caption of Fig. 4 had some slight mistakes. Here is the same caption with the corrections in bold: “Cell Fate model, network and simulations. (A) Influence network of the cell fate model (light green arrow represent ligand-receptor interactions), (B) Probability of Non-Apoptotic Cell Death, Apoptosis and Survival, obtained by MaBoSS simulation for wild-type model (left) and ROS knock-down (right), (C) PCA plot of the models generated and simulated by EnsembleMaBoSS with respect to the model phenotypes in the case where TNF is OFF (blue) and TNF is ON (orange), (D) Cell population ratio computed by UPMaBoSS, with one dose of TNF treatment (black curve), and after 48 h, a second TNF treatment (right curve, with its control in a red dashed line that almost coincides with TNF-treated simulations), (E) PhysiBoSS simulation of TNF-treated cells marked with proliferative cells (in green), apoptotic cells (in red, but rare on the figure) and necrotic cells (in black).” The authors would like to apologize for any inconvenience caused.
AB - At the end of part 4.1, the percentages were slightly wrong and a word is not correct. Here is the same paragraph with the corrections in bold: “For simplificity, we set FAS to 0 as an initial condition and focus only on TNF-induced pathway activation. It is initially assumed that FADD is random (present or not), cIAP and ATP are active and all other components of the model are inactive. When TNF is ON, Survival can be activated with a probability of 2.2%, Death with a probability of 35.1%, the rest corresponding to the naive case (not shown on the graph). When a gene is mutated (the corresponding variable is set to 0 or 1 according to the type of mutation), these probabilities change. For instance, a mutation in ROS-related genes (knock-down of the node ROS (reactive oxygen species) in the model) strongly affects the proportion of surviving versus dying cells to 2.6% and 27.7%, respectively, highlighting the role of ROS-related genes in cell death (Fig. 4B).“. The caption of Fig. 4 had some slight mistakes. Here is the same caption with the corrections in bold: “Cell Fate model, network and simulations. (A) Influence network of the cell fate model (light green arrow represent ligand-receptor interactions), (B) Probability of Non-Apoptotic Cell Death, Apoptosis and Survival, obtained by MaBoSS simulation for wild-type model (left) and ROS knock-down (right), (C) PCA plot of the models generated and simulated by EnsembleMaBoSS with respect to the model phenotypes in the case where TNF is OFF (blue) and TNF is ON (orange), (D) Cell population ratio computed by UPMaBoSS, with one dose of TNF treatment (black curve), and after 48 h, a second TNF treatment (right curve, with its control in a red dashed line that almost coincides with TNF-treated simulations), (E) PhysiBoSS simulation of TNF-treated cells marked with proliferative cells (in green), apoptotic cells (in red, but rare on the figure) and necrotic cells (in black).” The authors would like to apologize for any inconvenience caused.
UR - http://www.scopus.com/inward/record.url?scp=85160701445&partnerID=8YFLogxK
U2 - 10.1016/j.csbj.2023.05.021
DO - 10.1016/j.csbj.2023.05.021
M3 - Comment/debate
AN - SCOPUS:85160701445
SN - 2001-0370
VL - 21
SP - 3158
JO - Computational and Structural Biotechnology Journal
JF - Computational and Structural Biotechnology Journal
ER -