Heterogeneity reduces sensitivity of cell death for TNF-stimuli
Apoptosis is a form of programmed cell death essential for the maintenance of homeostasis and the removal of potentially damaged cells in multicellular organisms. By binding its cognate membrane receptor, TNF receptor type 1 (TNF-R1), the proinflammatory cytokine Tumor Necrosis Factor (TNF) activate...
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description | Apoptosis is a form of programmed cell death essential for the maintenance of homeostasis and the removal of potentially damaged cells in multicellular organisms. By binding its cognate membrane receptor, TNF receptor type 1 (TNF-R1), the proinflammatory cytokine Tumor Necrosis Factor (TNF) activates pro-apoptotic signaling via caspase activation, but at the same time also stimulates nuclear factor κB (NF-κB)-mediated survival pathways. Differential dose-response relationships of these two major TNF signaling pathways have been described experimentally and using mathematical modeling. However, the quantitative analysis of the complex interplay between pro- and anti-apoptotic signaling pathways is an open question as it is challenging for several reasons: the overall signaling network is complex, various time scales are present, and cells respond quantitatively and qualitatively in a heterogeneous manner.
This study analyzes the complex interplay of the crosstalk of TNF-R1 induced pro- and anti-apoptotic signaling pathways based on an experimentally validated mathematical model. The mathematical model describes the temporal responses on both the single cell level as well as the level of a heterogeneous cell population, as observed in the respective quantitative experiments using TNF-R1 stimuli of different strengths and durations. Global sensitivity of the heterogeneous population was quantified by measuring the average gradient of time of death versus each population parameter. This global sensitivity analysis uncovers the concentrations of Caspase-8 and Caspase-3, and their respective inhibitors BAR and XIAP, as key elements for deciding the cell's fate. A simulated knockout of the NF-κB-mediated anti-apoptotic signaling reveals the importance of this pathway for delaying the time of death, reducing the death rate in the case of pulse stimulation and significantly increasing cell-to-cell variability.
Cell ensemble modeling of a heterogeneous cell population including a global sensitivity analysis presented here allowed us to illuminate the role of the different elements and parameters on apoptotic signaling. The receptors serve to transmit the external stimulus; procaspases and their inhibitors control the switching from life to death, while NF-κB enhances the heterogeneity of the cell population. The global sensitivity analysis of the cell population model further revealed an unexpected impact of heterogeneity, i.e. the reduction of parametric sensitivit |
doi_str_mv | 10.1186/1752-0509-5-204 |
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This study analyzes the complex interplay of the crosstalk of TNF-R1 induced pro- and anti-apoptotic signaling pathways based on an experimentally validated mathematical model. The mathematical model describes the temporal responses on both the single cell level as well as the level of a heterogeneous cell population, as observed in the respective quantitative experiments using TNF-R1 stimuli of different strengths and durations. Global sensitivity of the heterogeneous population was quantified by measuring the average gradient of time of death versus each population parameter. This global sensitivity analysis uncovers the concentrations of Caspase-8 and Caspase-3, and their respective inhibitors BAR and XIAP, as key elements for deciding the cell's fate. A simulated knockout of the NF-κB-mediated anti-apoptotic signaling reveals the importance of this pathway for delaying the time of death, reducing the death rate in the case of pulse stimulation and significantly increasing cell-to-cell variability.
Cell ensemble modeling of a heterogeneous cell population including a global sensitivity analysis presented here allowed us to illuminate the role of the different elements and parameters on apoptotic signaling. The receptors serve to transmit the external stimulus; procaspases and their inhibitors control the switching from life to death, while NF-κB enhances the heterogeneity of the cell population. The global sensitivity analysis of the cell population model further revealed an unexpected impact of heterogeneity, i.e. the reduction of parametric sensitivity.</description><identifier>ISSN: 1752-0509</identifier><identifier>EISSN: 1752-0509</identifier><identifier>DOI: 10.1186/1752-0509-5-204</identifier><identifier>PMID: 22204418</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Analysis ; Apoptosis ; Apoptosis - physiology ; Biochemistry ; Cancer ; Care and treatment ; Caspase 3 - pharmacology ; Caspase 8 - metabolism ; Cell death ; Cell Line ; Computer Simulation ; Cytokines ; Dose-Response Relationship, Drug ; Electrophoretic Mobility Shift Assay ; Engineering, computing & technology ; Humans ; Ingénierie, informatique & technologie ; Linear Models ; Models, Biological ; Mortality ; NF-kappa B - metabolism ; Receptors, Tumor Necrosis Factor, Type I - metabolism ; Signal Transduction - physiology ; Tumor necrosis factor ; Tumor Necrosis Factor-alpha - metabolism ; Tumor Necrosis Factor-alpha - pharmacology</subject><ispartof>BMC systems biology, 2011-12, Vol.5 (204), p.204-204, Article 204</ispartof><rights>COPYRIGHT 2011 BioMed Central Ltd.</rights><rights>Copyright ©2011 Schliemann et al; licensee BioMed Central Ltd. 2011 Schliemann et al; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b763t-ff4f637b9dcf2ba7517e6a6f1d1efa8cf6a0ef8977ddbc5615343148a38f178c3</citedby><cites>FETCH-LOGICAL-b763t-ff4f637b9dcf2ba7517e6a6f1d1efa8cf6a0ef8977ddbc5615343148a38f178c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3313907/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3313907/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,883,24784,27907,27908,53774,53776,75489,75490</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22204418$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Schliemann, Monica</creatorcontrib><creatorcontrib>Bullinger, Eric</creatorcontrib><creatorcontrib>Borchers, Steffen</creatorcontrib><creatorcontrib>Allgöwer, Frank</creatorcontrib><creatorcontrib>Findeisen, Rolf</creatorcontrib><creatorcontrib>Scheurich, Peter</creatorcontrib><title>Heterogeneity reduces sensitivity of cell death for TNF-stimuli</title><title>BMC systems biology</title><addtitle>BMC Syst Biol</addtitle><description>Apoptosis is a form of programmed cell death essential for the maintenance of homeostasis and the removal of potentially damaged cells in multicellular organisms. By binding its cognate membrane receptor, TNF receptor type 1 (TNF-R1), the proinflammatory cytokine Tumor Necrosis Factor (TNF) activates pro-apoptotic signaling via caspase activation, but at the same time also stimulates nuclear factor κB (NF-κB)-mediated survival pathways. Differential dose-response relationships of these two major TNF signaling pathways have been described experimentally and using mathematical modeling. However, the quantitative analysis of the complex interplay between pro- and anti-apoptotic signaling pathways is an open question as it is challenging for several reasons: the overall signaling network is complex, various time scales are present, and cells respond quantitatively and qualitatively in a heterogeneous manner.
This study analyzes the complex interplay of the crosstalk of TNF-R1 induced pro- and anti-apoptotic signaling pathways based on an experimentally validated mathematical model. The mathematical model describes the temporal responses on both the single cell level as well as the level of a heterogeneous cell population, as observed in the respective quantitative experiments using TNF-R1 stimuli of different strengths and durations. Global sensitivity of the heterogeneous population was quantified by measuring the average gradient of time of death versus each population parameter. This global sensitivity analysis uncovers the concentrations of Caspase-8 and Caspase-3, and their respective inhibitors BAR and XIAP, as key elements for deciding the cell's fate. A simulated knockout of the NF-κB-mediated anti-apoptotic signaling reveals the importance of this pathway for delaying the time of death, reducing the death rate in the case of pulse stimulation and significantly increasing cell-to-cell variability.
Cell ensemble modeling of a heterogeneous cell population including a global sensitivity analysis presented here allowed us to illuminate the role of the different elements and parameters on apoptotic signaling. The receptors serve to transmit the external stimulus; procaspases and their inhibitors control the switching from life to death, while NF-κB enhances the heterogeneity of the cell population. The global sensitivity analysis of the cell population model further revealed an unexpected impact of heterogeneity, i.e. the reduction of parametric sensitivity.</description><subject>Analysis</subject><subject>Apoptosis</subject><subject>Apoptosis - physiology</subject><subject>Biochemistry</subject><subject>Cancer</subject><subject>Care and treatment</subject><subject>Caspase 3 - pharmacology</subject><subject>Caspase 8 - metabolism</subject><subject>Cell death</subject><subject>Cell Line</subject><subject>Computer Simulation</subject><subject>Cytokines</subject><subject>Dose-Response Relationship, Drug</subject><subject>Electrophoretic Mobility Shift Assay</subject><subject>Engineering, computing & technology</subject><subject>Humans</subject><subject>Ingénierie, informatique & technologie</subject><subject>Linear Models</subject><subject>Models, Biological</subject><subject>Mortality</subject><subject>NF-kappa B - metabolism</subject><subject>Receptors, Tumor Necrosis Factor, Type I - metabolism</subject><subject>Signal Transduction - physiology</subject><subject>Tumor necrosis factor</subject><subject>Tumor Necrosis Factor-alpha - metabolism</subject><subject>Tumor Necrosis Factor-alpha - pharmacology</subject><issn>1752-0509</issn><issn>1752-0509</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkktv1TAQhSMEoqWwZocisWKR1o_4kQ2oVJRWqkCCsh45zjg1SuIqTq7ov8e3gasbqTzkha2Z75yRzjjLXlJyTKmWJ1QJVhBBqkIUjJSPssNd5fHe-yB7FuN3QgRnTD3NDhhLcEn1YfbuAiccQ4sD-ukuH7GZLcY84hD95DfbWnC5xa7LGzTTTe7CmF9_Oi_i5Pu588-zJ850EV_8uo-yb-cfrs8uiqvPHy_PTq-KWkk-Fc6VTnJVV411rDZKUIXSSEcbis5o66Qh6HSlVNPUVkgqeMlpqQ3Xjipt-VH2dvG9neseG4vDNJoObkffm_EOgvGw7gz-BtqwAc4pr4hKBnwx6Dy2CGGsPWzYvfD-PXctGAs1AmNSAyWyIiSp3i-q2oc_jF13bOhhGztsYwcBKedk8noxaU2H4AcXEmp7Hy2cpi1UTImy-ivFdMmlSliijh-g0mmw9zYM6Hyqr2z_S7A_4c1KkJgJf0ytmWOEy69f1ub_Yvd9TxbWjiHGEd0uRUpg-5kfyO3V_s53_O_fy38CXrDsKQ</recordid><startdate>20111228</startdate><enddate>20111228</enddate><creator>Schliemann, Monica</creator><creator>Bullinger, Eric</creator><creator>Borchers, Steffen</creator><creator>Allgöwer, Frank</creator><creator>Findeisen, Rolf</creator><creator>Scheurich, Peter</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>Q33</scope><scope>5PM</scope></search><sort><creationdate>20111228</creationdate><title>Heterogeneity reduces sensitivity of cell death for TNF-stimuli</title><author>Schliemann, Monica ; Bullinger, Eric ; Borchers, Steffen ; Allgöwer, Frank ; Findeisen, Rolf ; Scheurich, Peter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b763t-ff4f637b9dcf2ba7517e6a6f1d1efa8cf6a0ef8977ddbc5615343148a38f178c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Analysis</topic><topic>Apoptosis</topic><topic>Apoptosis - physiology</topic><topic>Biochemistry</topic><topic>Cancer</topic><topic>Care and treatment</topic><topic>Caspase 3 - pharmacology</topic><topic>Caspase 8 - metabolism</topic><topic>Cell death</topic><topic>Cell Line</topic><topic>Computer Simulation</topic><topic>Cytokines</topic><topic>Dose-Response Relationship, Drug</topic><topic>Electrophoretic Mobility Shift Assay</topic><topic>Engineering, computing & technology</topic><topic>Humans</topic><topic>Ingénierie, informatique & technologie</topic><topic>Linear Models</topic><topic>Models, Biological</topic><topic>Mortality</topic><topic>NF-kappa B - metabolism</topic><topic>Receptors, Tumor Necrosis Factor, Type I - metabolism</topic><topic>Signal Transduction - physiology</topic><topic>Tumor necrosis factor</topic><topic>Tumor Necrosis Factor-alpha - metabolism</topic><topic>Tumor Necrosis Factor-alpha - pharmacology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schliemann, Monica</creatorcontrib><creatorcontrib>Bullinger, Eric</creatorcontrib><creatorcontrib>Borchers, Steffen</creatorcontrib><creatorcontrib>Allgöwer, Frank</creatorcontrib><creatorcontrib>Findeisen, Rolf</creatorcontrib><creatorcontrib>Scheurich, Peter</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>Université de Liège - Open Repository and Bibliography (ORBI)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC systems biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schliemann, Monica</au><au>Bullinger, Eric</au><au>Borchers, Steffen</au><au>Allgöwer, Frank</au><au>Findeisen, Rolf</au><au>Scheurich, Peter</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Heterogeneity reduces sensitivity of cell death for TNF-stimuli</atitle><jtitle>BMC systems biology</jtitle><addtitle>BMC Syst Biol</addtitle><date>2011-12-28</date><risdate>2011</risdate><volume>5</volume><issue>204</issue><spage>204</spage><epage>204</epage><pages>204-204</pages><artnum>204</artnum><issn>1752-0509</issn><eissn>1752-0509</eissn><abstract>Apoptosis is a form of programmed cell death essential for the maintenance of homeostasis and the removal of potentially damaged cells in multicellular organisms. By binding its cognate membrane receptor, TNF receptor type 1 (TNF-R1), the proinflammatory cytokine Tumor Necrosis Factor (TNF) activates pro-apoptotic signaling via caspase activation, but at the same time also stimulates nuclear factor κB (NF-κB)-mediated survival pathways. Differential dose-response relationships of these two major TNF signaling pathways have been described experimentally and using mathematical modeling. However, the quantitative analysis of the complex interplay between pro- and anti-apoptotic signaling pathways is an open question as it is challenging for several reasons: the overall signaling network is complex, various time scales are present, and cells respond quantitatively and qualitatively in a heterogeneous manner.
This study analyzes the complex interplay of the crosstalk of TNF-R1 induced pro- and anti-apoptotic signaling pathways based on an experimentally validated mathematical model. The mathematical model describes the temporal responses on both the single cell level as well as the level of a heterogeneous cell population, as observed in the respective quantitative experiments using TNF-R1 stimuli of different strengths and durations. Global sensitivity of the heterogeneous population was quantified by measuring the average gradient of time of death versus each population parameter. This global sensitivity analysis uncovers the concentrations of Caspase-8 and Caspase-3, and their respective inhibitors BAR and XIAP, as key elements for deciding the cell's fate. A simulated knockout of the NF-κB-mediated anti-apoptotic signaling reveals the importance of this pathway for delaying the time of death, reducing the death rate in the case of pulse stimulation and significantly increasing cell-to-cell variability.
Cell ensemble modeling of a heterogeneous cell population including a global sensitivity analysis presented here allowed us to illuminate the role of the different elements and parameters on apoptotic signaling. The receptors serve to transmit the external stimulus; procaspases and their inhibitors control the switching from life to death, while NF-κB enhances the heterogeneity of the cell population. The global sensitivity analysis of the cell population model further revealed an unexpected impact of heterogeneity, i.e. the reduction of parametric sensitivity.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>22204418</pmid><doi>10.1186/1752-0509-5-204</doi><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Apoptosis Apoptosis - physiology Biochemistry Cancer Care and treatment Caspase 3 - pharmacology Caspase 8 - metabolism Cell death Cell Line Computer Simulation Cytokines Dose-Response Relationship, Drug Electrophoretic Mobility Shift Assay Engineering, computing & technology Humans Ingénierie, informatique & technologie Linear Models Models, Biological Mortality NF-kappa B - metabolism Receptors, Tumor Necrosis Factor, Type I - metabolism Signal Transduction - physiology Tumor necrosis factor Tumor Necrosis Factor-alpha - metabolism Tumor Necrosis Factor-alpha - pharmacology |
title | Heterogeneity reduces sensitivity of cell death for TNF-stimuli |
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