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      Modulating the dynamics of NFκB and PI3K enhances the ensemble-level TNFR1 signaling mediated apoptotic response

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          Abstract

          Cell-to-cell variability during TNFα stimulated Tumor Necrosis Factor Receptor 1 (TNFR1) signaling can lead to single-cell level pro-survival and apoptotic responses. This variability stems from the heterogeneity in signal flow through intracellular signaling entities that regulate the balance between these two phenotypes. Using systematic Boolean dynamic modeling of a TNFR1 signaling network, we demonstrate that the signal flow path variability can be modulated to enable cells favour apoptosis. We developed a computationally efficient approach “ Boolean Modeling based Prediction of Steady-state probability of Phenotype Reachability (BM-ProSPR)” to accurately predict the network’s ability to settle into different phenotypes. Model analysis juxtaposed with the experimental observations revealed that NFκB and PI3K transient responses guide the XIAP behaviour to coordinate the crucial dynamic cross-talk between the pro-survival and apoptotic arms at the single-cell level. Model predicted the experimental observations that ~31% apoptosis increase can be achieved by arresting Comp1 – IKK * activity which regulates the NFκB and PI3K dynamics. Arresting Comp1 – IKK * activity causes signal flow path re-wiring towards apoptosis without significantly compromising NFκB levels, which govern adequate cell survival. Priming an ensemble of cancerous cells with inhibitors targeting the specific interaction involving Comp1 and IKK * prior to TNFα exposure could enable driving them towards apoptosis.

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          Hallmarks of Cancer: The Next Generation

          The hallmarks of cancer comprise six biological capabilities acquired during the multistep development of human tumors. The hallmarks constitute an organizing principle for rationalizing the complexities of neoplastic disease. They include sustaining proliferative signaling, evading growth suppressors, resisting cell death, enabling replicative immortality, inducing angiogenesis, and activating invasion and metastasis. Underlying these hallmarks are genome instability, which generates the genetic diversity that expedites their acquisition, and inflammation, which fosters multiple hallmark functions. Conceptual progress in the last decade has added two emerging hallmarks of potential generality to this list-reprogramming of energy metabolism and evading immune destruction. In addition to cancer cells, tumors exhibit another dimension of complexity: they contain a repertoire of recruited, ostensibly normal cells that contribute to the acquisition of hallmark traits by creating the "tumor microenvironment." Recognition of the widespread applicability of these concepts will increasingly affect the development of new means to treat human cancer. Copyright © 2011 Elsevier Inc. All rights reserved.
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            Estimates of the Regression Coefficient Based on Kendall's Tau

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              Induction of TNF receptor I-mediated apoptosis via two sequential signaling complexes.

              Apoptosis induced by TNF-receptor I (TNFR1) is thought to proceed via recruitment of the adaptor FADD and caspase-8 to the receptor complex. TNFR1 signaling is also known to activate the transcription factor NF-kappa B and promote survival. The mechanism by which this decision between cell death and survival is arbitrated is not clear. We report that TNFR1-induced apoptosis involves two sequential signaling complexes. The initial plasma membrane bound complex (complex I) consists of TNFR1, the adaptor TRADD, the kinase RIP1, and TRAF2 and rapidly signals activation of NF-kappa B. In a second step, TRADD and RIP1 associate with FADD and caspase-8, forming a cytoplasmic complex (complex II). When NF-kappa B is activated by complex I, complex II harbors the caspase-8 inhibitor FLIP(L) and the cell survives. Thus, TNFR1-mediated-signal transduction includes a checkpoint, resulting in cell death (via complex II) in instances where the initial signal (via complex I, NF-kappa B) fails to be activated.
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                Author and article information

                Contributors
                ganeshav@iitb.ac.in
                Journal
                NPJ Syst Biol Appl
                NPJ Syst Biol Appl
                NPJ Systems Biology and Applications
                Nature Publishing Group UK (London )
                2056-7189
                16 November 2023
                16 November 2023
                2023
                : 9
                : 57
                Affiliations
                Department of Chemical Engineering, Indian Institute of Technology Bombay Powai, ( https://ror.org/02qyf5152) Mumbai, 400076 India
                Author information
                http://orcid.org/0000-0002-6030-8918
                http://orcid.org/0000-0001-6424-0765
                Article
                318
                10.1038/s41540-023-00318-0
                10654705
                37973854
                08234822-7f17-49ef-a067-ab58e71063dc
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 26 April 2023
                : 30 October 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001843, DST | Science and Engineering Research Board (SERB);
                Award ID: CRG/2020/002672
                Award ID: MTR/2020/000589
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100001407, Department of Biotechnology, Ministry of Science and Technology (DBT);
                Award ID: DBT/2017/IIT-B/852
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100004541, Ministry of Human Resource Development (Ministry of Human Resource Development, Government of India);
                Award ID: PMRF 1302047
                Award Recipient :
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2023

                dynamic networks,stochastic modelling,systems analysis,numerical simulations

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