Cited by 29Liver physiology and pathologyGene Regulatory Network AnalysisMathematical Biology Tumor Growth

An integrative model links multiple inputs and signaling pathways to the onset of DNA synthesis in hepatocytes

Open access
Huard, Jérémy, Mueller, Stephanie, Gilles, Ernst D., Klingmüller, Ursula, Klamt, Steffen·2012·The FEBS Journal

Abstract

During liver regeneration, quiescent hepatocytes re-enter the cell cycle to proliferate and compensate for lost tissue. Multiple signals including hepatocyte growth factor, epidermal growth factor, tumor necrosis factor α, interleukin-6, insulin and transforming growth factor β orchestrate these responses and are integrated during the G(1) phase of the cell cycle. To investigate how these inputs influence DNA synthesis as a measure for proliferation, we established a large-scale integrated logical model connecting multiple signaling pathways and the cell cycle. We constructed our model based upon established literature knowledge, and successively improved and validated its structure using hepatocyte-specific literature as well as experimental DNA synthesis data. Model analyses showed that activation of the mitogen-activated protein kinase and phosphatidylinositol 3-kinase pathways was sufficient and necessary for triggering DNA synthesis. In addition, we identified key species in these pathways that mediate DNA replication. Our model predicted oncogenic mutations that were compared with the COSMIC database, and proposed intervention targets to block hepatocyte growth factor-induced DNA synthesis, which we validated experimentally. Our integrative approach demonstrates that, despite the complexity and size of the underlying interlaced network, logical modeling enables an integrative understanding of signaling-controlled proliferation at the cellular level, and thus can provide intervention strategies for distinct perturbation scenarios at various regulatory levels.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1742-4658.2012.08572.x

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 87

  1. [2]Fausto N Campbell JS Riehle KJ Liver regeneration Hepatology 2006 43 S45 S53 16447274
  2. [3]Li W Liang X Leu JI Kovalovich K Ciliberto G Taub R Global changes in interleukin-6-dependent gene expression patterns in mouse livers after partial hepatectomy Hepatology 2001 33 1377 1386 11391526
  3. [5]Wuestefeld T Klein C Streetz KL Betz U Lauber J Buer J Manns MP Muller W Trautwein C Interleukin-6/glycoprotein 130-dependent pathways are protective during liver regeneration J Biol Chem 2003 278 11281 11288 12509437
  4. [6]Orstavik D Mjor IA Usage test of four endodontic sealers in Macaca fascicularis monkeys Oral Surg Oral Med Oral Pathol 1992 73 337 344 1545966
  5. [7]Ichikawa T Zhang YQ Kogure K Hasegawa Y Takagi H Mori M Kojima I Transforming growth factor beta and activin tonically inhibit DNA synthesis in the rat liver Hepatology 2001 34 918 925 11679962
  6. [8]Chen WW Schoeberl B Jasper PJ Niepel M Nielsen UB Lauffenburger DA Sorger PK Input–output behavior of ErbB signaling pathways as revealed by a mass action model trained against dynamic data Mol Syst Biol 2009 5 239 19156131 PMC2644173
  7. [9]Schoeberl B Eichler-Jonsson C Gilles ED Müller G Computational modeling of the dynamics of the MAP kinase cascade activated by surface and internalized EGF receptors Nat Biotechnol 2002 20 370 375 11923843
  8. [10]Singh A Sharma R Jayaraman A Hahn J Mathematical model of IL-6 signal transduction in hepatocytes Biotechnol Bioeng 2006 95 850 862 16752369
  9. [11]Franke R Müller M Wundrack N Gilles ED Klamt S Kahne T Naumann M Host–pathogen systems biology: logical modelling of hepatocyte growth factor and Helicobacter pylori induced c-Met signal transduction BMC Syst Biol 2008 2 4 18194572 PMC2254585
  10. [12]Saez-Rodriguez J Alexopoulos LG Epperlein J Samaga R Lauffenburger DA Klamt S Sorger PK Discrete logic modelling as a means to link protein signalling networks with functional analysis of mammalian signal transduction Mol Syst Biol 2009 5 331 19953085 PMC2824489
  11. [14]Samaga R Saez-Rodriguez J Alexopoulos LG Sorger PK Klamt S The logic of EGFR/ErbB signaling: theoretical properties and analysis of high-throughput data PLoS Comput Biol 2009 5 e1000438 19662154 PMC2710522
  12. [15]Schlatter R Schmich K Avalos Vizcarra I Scheurich P Sauter T Borner C Ederer M Merfort I Sawodny O ON/OFF and beyond – a Boolean model of apoptosis PLoS Comput Biol 2009 5 e1000595 20011108 PMC2781112
  13. [16]Gérard C Goldbeter A Temporal self-organization of the cyclin/Cdk network driving the mammalian cell cycle Proc Natl Acad Sci USA 2009 106 21643 21648 20007375 PMC2799800
  14. [17]Novák B Tyson JJ A model for restriction point control of the mammalian cell cycle J Theor Biol 2004 230 563 579 15363676
  15. [18]Qu Z Weiss JN MacLellan R Regulation of the mammalian cell cycle: a model of the G1-to-S transition Am J Pathol 2003 284 C349 C364 12388094
  16. [19]Alfieri R Barberis M Chiaradonna F Gaglio D Milanesi L Vanoni M Klipp E Alberghina L Towards a systems biology approach to mammalian cell cycle: modeling the entrance into S phase of quiescent fibroblasts after serum stimulation BMC Bioinformatics 2009 10 S16 19828076 PMC2762065
  17. [20]Chen KC Calzone L Csikasz-Nagy A Cross FR Novak B Tyson JJ Integrative analysis of cell cycle control in budding yeast Mol Biol Cell 2004 15 3841 3862 15169868 PMC491841
  18. [21]Davidich MI Bornholdt S Boolean network model predicts cell cycle sequence of fission yeast PLoS One 2008 3 e1672 18301750 PMC2243020
  19. [22]Fauré A Naldi A Chaouiya C Thieffry D Dynamical analysis of a generic Boolean model for the control of the mammalian cell cycle Bioinformatics 2006 22 e124 e131 16873462
  20. [23]Faure A Thieffry D Logical modelling of cell cycle control in eukaryotes: a comparative study Mol BioSyst 2009 5 1569 1581 19763341
  21. [24]Haberichter T Mädge B Christopher RA Yoshioka N Dhiman A Miller R Gendelman R Aksenov SV Khalil IG Dowdy SF A systems biology dynamical model of mammalian G1 cell cycle progression Mol Syst Biol 2007 3 84 17299420 PMC1828753
  22. [25]Irons DJ Logical analysis of the budding yeast cell cycle J Theor Biol 2009 257 543 559 19185585
  23. [26]Swat M Kel A Herzel H Bifurcation analysis of the regulatory modules of the mammalian G1/S transition Bioinformatics 2004 20 1506 1511 15231543
  24. [27]Yao G Lee TJ Mori S Nevins JR You L A bistable Rb–E2F switch underlies the restriction point Nat Cell Biol 2008 10 476 482 18364697
  25. [28]Csikász-Nagy A Computational systems biology of the cell cycle Brief Bioinform 2009 10 424 434 19270018
  26. [29]Chauhan A Lorenzen S Herzel H Bernard S Regulation of mammalian cell cycle progression in the regenerating liver J Theor Biol 2011 283 103 112 21635899
  27. [30]Chauhan A Legewie S Westermark PO Lorenzen S Herzel H A mesoscale model of G1/S phase transition in liver regeneration J Theor Biol 2008 252 465 473 18339403
  28. [31]Sahin Ö Fröhlich H Lobke C Korf U Burmester S Majety M Mattern J Schupp I Chaouiya C Thieffry D Modeling ERBB receptor-regulated G1/S transition to find novel targets for de novo trastuzumab resistance BMC Syst Biol 2009 3 1 19118495 PMC2652436
  29. [32]Oda K Matsuoka Y Funahashi A Kitano H A comprehensive pathway map of epidermal growth factor receptor signaling Mol Syst Biol 2005 1 1 17 PMC1681468 16729045
  30. [33]Caron E Ghosh S Matsuoka Y Ashton-Beaucage D Therrien M Lemieux S Perreault C Roux PP Kitano H A comprehensive map of the mTOR signaling network Mol Syst Biol 2010 6 453 21179025 PMC3018167
  31. [34]Oda K Kitano H A comprehensive map of the toll-like receptor signaling network Mol Syst Biol 2006 2 0015 16738560 PMC1681489
  32. [35]Calzone L Gelay A Zinovyev A Radvanyl F Barillot E A comprehensive modular map of molecular interactions in RB/E2F pathway Mol Syst Biol 2008 4 173 18319725 PMC2290939
  33. [36]Kaizu K Ghosh S Matsuoka Y Moriya H Shimizu-Yoshida Y Kitano H A comprehensive molecular interaction map of the budding yeast cell cycle Mol Syst Biol 2010 6 415 20865008 PMC2964125
  34. [37]Kohn KW Molecular interaction map of the mammalian cell cycle control and DNA repair systems Mol Biol Cell 1999 10 2703 2734 10436023 PMC25504
  35. [38]Morris MK Saez-Rodriguez J Sorger PK Lauffenburger DA Logic-based models for the analysis of cell signaling networks Biochemistry (Mosc) 2010 49 3216 3224 PMC2853906 20225868
  36. [39]Naldi A Berenguier D Faure A Lopez F Thieffry D Chaouiya C Logical modelling of regulatory networks with GINsim 2.3 Biosystems 2009 97 134 139 19426782
  37. [40]Klamt S Saez-Rodriguez J Gilles ED Structural and functional analysis of cellular networks with CellNetAnalyzer BMC Syst Biol 2007 1 2 17408509 PMC1847467
  38. [41]Klamt S Saez-Rodriguez J Lindquist JA Simeoni L Gilles ED A methodology for the structural and functional analysis of signaling and regulatory networks BMC Bioinformatics 2006 7 56 16464248 PMC1458363
  39. [42]Christensen TS Oliveira AP Nielsen J Reconstruction and logical modeling of glucose repression signaling pathways in Saccharomyces cerevisiae BMC Syst Biol 2009 3 7 19144179 PMC2661888
  40. [43]Samaga R Von Kamp A Klamt S Computing combinatorial intervention strategies and failure modes in signaling networks J Comput Biol 2010 17 39 53 20078396
  41. [44]Mirschel S Steinmetz K Rempel M Ginkel M Gilles ED PROMOT: modular modeling for systems biology Bioinformatics 2009 25 687 689 19147665 PMC2647835
  42. [45]Inoue Y Tomiya T Yanase M Arai M Ikeda H Tejima K Ogata I Kimura S Omata M Fujiwara K p53 may positively regulate hepatocyte proliferation in rats Hepatology 2002 36 336 344 12143041
  43. [46]Klingmüller U Bauer A Bohl S Nickel PJ Breitkopf K Dooley S Zellmer S Kern C Merfort I Sparna T Primary mouse hepatocytes for systems biology approaches: a standardized in vitro system for modelling of signal transduction pathways Syst Biol (Stevenage) 2006 153 433 447 17186705
  44. [47]Littell RC Milliken GA Stroup WW Wolfinger RD Schabenberger O SAS for Mixed Models 2006 2nd edn Cary, NC SAS Press
  45. [49]Pomerening JR Positive-feedback loops in cell cycle progression FEBS Lett 2009 583 3388 3396 19818353 PMC2784177
  46. [51]Kaufman M Soule C Thomas R A new necessary condition on interaction graphs for multistationarity J Theor Biol 2007 248 675 685 17681551
  47. [53]Kimura M Ogihara M Proliferation of adult rat hepatocytes in primary culture induced by insulin is potentiated by cAMP-elevating agents Eur J Pharmacol 1997 327 87 95 9185840
  48. [54]Rickheim DG Nelsen CJ Fassett JT Timchenko NA Hansen LK Albrecht JH Differential regulation of cyclins D1 and D3 in hepatocyte proliferation Hepatology 2002 36 30 38 12085346
  49. [55]Schilling M Pfeifer AC Bohl S Klingmüller U Standardizing experimental protocols Curr Opin Biotechnol 2008 19 354 359 18617004
  50. [56]Saez-Rodriguez J Goldsipe A Muhlich J Alexopoulos LG Millard B Lauffenburger DA Sorger PK Flexible informatics for linking experimental data to mathematical models via DataRail Bioinformatics 2008 24 840 847 18218655 PMC2617752
  51. [57]Michalopoulos GK Liver regeneration after partial hepatectomy: critical analysis of mechanistic dilemmas Am J Pathol 2010 176 2 13 20019184 PMC2797862
  52. [58]Siegel PM Massagué J Cytostatic and apoptotic actions of TGF-beta in homeostasis and cancer Nat Rev Cancer 2003 3 807 821 14557817
  53. [59]Sakamoto T Liu Z Murase N Ezure T Yokomuro S Poli V Demetris AJ Mitosis and apoptosis in the liver of interleukin-6-deficient mice after partial hepatectomy Hepatology 1999 29 403 411 9918916
  54. [60]Mohammed FF Khokha R Thinking outside the cell: proteases regulate hepatocyte division Trends Cell Biol 2005 15 555 563 16150595
  55. [62]Krumsiek J Pölsterl S Wittmann DM Theis FJ Odefy – from discrete to continuous models BMC Bioinformatics 2010 11 233 20459647 PMC2873544
  56. [63]Ortega S Malumbres M Barbacid M Cyclin D-dependent kinases, INK4 inhibitors and cancer Biochim Biophys Acta 2002 1602 73 87 11960696
  57. [64]Lapenna S Giordano A Cell cycle kinases as therapeutic targets for cancer Nat Rev Drug Discov 2009 8 547 566 19568282
  58. [65]Donnellan R Chetty R Cyclin D1 and human neoplasia Mol Pathol 1998 51 1 7 9624412 PMC395600
  59. [66]Malumbres M Barbacid M To cycle or not to cycle: a critical decision in cancer Nat Rev Cancer 2001 1 222 231 11902577
  60. [67]Weinberg RA The retinoblastoma protein and cell cycle control Cell 1995 81 323 330 7736585
  61. [69]Malumbres M Barbacid M Cell cycle, CDKs and cancer: a changing paradigm Nat Rev Cancer 2009 9 153 166 19238148
  62. [70]Barton MC Akli S Keyomarsi K Deregulation of cyclin E meets dysfunction in p53: closing the escape hatch on breast cancer J Cell Physiol 2006 209 686 694 17001684
  63. [71]Keyomarsi K Conte D Jr Toyofuku W Fox MP Deregulation of cyclin E in breast cancer Oncogene 1995 11 941 950 7675453
  64. [72]Abukhdeir AM Park BH P21 and p27: roles in carcinogenesis and drug resistance Expert Rev Mol Med 2008 10 e19 18590585 PMC2678956
  65. [73]Blain SW Massague J Breast cancer banishes p27 from nucleus Nat Med 2002 8 1076 1078 12357238
  66. [74]Whittaker S Marais R Zhu AX The role of signaling pathways in the development and treatment of hepatocellular carcinoma Oncogene 2010 29 4989 5005 20639898
  67. [75]Coulouarn C Factor VM Conner EA Thorgeirsson SS Genomic modeling of tumor onset and progression in a mouse model of aggressive human liver cancer Carcinogenesis 2011 32 1434 1440 21771728 PMC3179421
  68. [76]Hu TH Huang CC Lin PR Chang HW Ger LP Lin YW Changchien CS Lee CM Tai MH Expression and prognostic role of tumor suppressor gene PTEN/MMAC1/TEP1 in hepatocellular carcinoma Cancer 2003 97 1929 1940 12673720
  69. [77]Matsuda Y Molecular mechanism underlying the functional loss of cyclindependent kinase inhibitors p16 and p27 in hepatocellular carcinoma World J Gastroenterol 2008 14 1734 1740 18350604 PMC2695913
  70. [78]Bartek J Lukas J Mammalian G1- and S-phase checkpoints in response to DNA damage Curr Opin Cell Biol 2001 13 738 747 11698191
  71. [79]Massagué J Gomis RR The logic of TGFβ signaling FEBS Lett 2006 580 2811 2820 16678165
  72. [80]Heo JS Lee SH Han HJ Regulation of DNA synthesis in mouse embryonic stem cells by transforming growth factor-alpha: involvement of the PI3-K/Akt and Notch/Wnt signaling pathways Growth Factors 2008 26 104 116 18428029
  73. [81]Buontempo F Ersahin T Missiroli S Senturk S Etro D Ozturk M Capitani S Cetin-Atalay R Neri ML Inhibition of Akt signaling in hepatoma cells induces apoptotic cell death independent of Akt activation status Invest New Drugs 2011 29 1303 1313 20628892
  74. [82]Wiesenauer CA Yip-Schneider MT Wang Y Schmidt CM Multiple anticancer effects of blocking MEK–ERK signaling in hepatocellular carcinoma J Am Coll Surg 2004 198 410 421 14992744
  75. [83]Gardmo C Kotokorpi P Helander H Mode A Transfection of adult primary rat hepatocytes in culture Biochem Pharmacol 2005 69 1805 1813 15885657
  76. [84]Park JS Surendran S Kamendulis LM Morral N Comparative nucleic acid transfection efficacy in primary hepatocytes for gene silencing and functional studies BMC Res Notes 2011 4 8 21244687 PMC3033823
  77. [85]Feldman RI Wu JM Polokoff MA Kochanny MJ Dinter H Zhu D Biroc SL Alicke B Bryant J Yuan S Novel small molecule inhibitors of 3-phosphoinositide-dependent kinase-1 J Biol Chem 2005 280 19867 19874 15772071
  78. [86]Peifer C Alessi DR Small-molecule inhibitors of PDK1 ChemMedChem 2008 3 1810 1838 18972468
  79. [87]Kudo N Wolff B Sekimoto T Schreiner EP Yoneda Y Yanagida M Horinouchi S Yoshida M Leptomycin B inhibition of signal-mediated nuclear export by direct binding to CRM1 Exp Cell Res 1998 242 540 547 9683540
  80. [88]Yashiroda Y Yoshida M Nucleo-cytoplasmic transport of proteins as a target for therapeutic drugs Curr Med Chem 2003 10 741 748 12678777
  81. [89]Yoshida M Nishikawa M Nishi K Abe K Horinouchi S Beppu T Effects of leptomycin B on the cell cycle of fibroblasts and fission yeast cells Exp Cell Res 1990 187 150 156 2298254
  82. [91]Fischer PM Gianella-Borradori A Recent progress in the discovery and development of cyclin-dependent kinase inhibitors Expert Opin Invest Drug 2005 14 457 477 15882121
  83. [93]Rivadeneira DB Mayhew CN Thangavel C Sotillo E Reed CA Grana X Knudsen ES Proliferative suppression by CDK4/6 inhibition: complex function of the retinoblastoma pathway in liver tissue and hepatoma cells Gastroenterology 2010 138 1920 1930 20100483 PMC2860048
  84. [94]Kholodenko BN Negative feedback and ultrasensitivity can bring about oscillations in the mitogen-activated protein kinase cascades Eur J Biochem 2000 267 1583 1588 10712587
  85. [95]Sharrocks AD Cell cycle: sustained ERK signalling represses the inhibitors Curr Biol 2006 16 R540 R542 16860730
  86. [96]Klamt S von Kamp A An application programming interface for CellNetAnalyzer Biosystems 2011 105 162 168 21315797
  87. [97]Castoldi M Vujic Spasic M Altamura S Elmen J Lindow M Kiss J Stolte J Sparla R D’Alessandro LA Klingmuller U The liver-specific microRNA miR-122 controls systemic iron homeostasis in mice J Clin Invest 2011 121 1386 1396 21364282 PMC3069782

Cited by

Sorted by citations

Authors
Huard, J., Mueller, S., Gilles, E. D., Klingmüller, U., & Klamt, S.
Affiliations
  • Max Planck Institute for Dynamics of Complex Technical Systems (DE)
  • German Cancer Research Center (DE)
Venue
The FEBS Journal
Publisher
Wiley
Published
2012-04-10
Volume
279
Issue
18
Pages
3290-3313
ISSN
  • 1742-464X (ISSN-L)
  • 1742-4658
OpenAlex
W1860244306
Cited by
29
References
7
Citations by year
2024: 1 · 2022: 2 · 2021: 2 · 2019: 2 · 2017: 4 · 2016: 6 · 2015: 3 · 2014: 4 · 2013: 3 · 2012: 2
FWCI
2.43
Type
journal article
Language
en
Open access
Locations
  • FEBS Journal (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Max Planck Institute for Plasma Physics (submittedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion)
Funders
Bundesministerium für Bildung und Forschung
Topics
  • Health Sciences › Medicine › Hepatology › Liver physiology and pathology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
  • Physical Sciences › Mathematics › Modeling and Simulation › Mathematical Biology Tumor Growth
Keywords
liver regeneration, hepatocyte proliferation, DNA synthesis, cell cycle, G1 phase, signaling pathway integration, hepatocyte growth factor, MAPK signaling, phosphatidylinositol 3-kinase pathway, logical modeling, oncogenic mutations, intervention targets, hepatocyte quiescence
MeSH terms
Animals, Cell Cycle, DNA Replication, Epidermal Growth Factor, Insulin, Liver Regeneration, Models, Biological, Tumor Necrosis Factor-alpha, Signal Transduction, Interleukin-6, Transforming Growth Factor alpha, Transforming Growth Factor beta, Hepatocyte Growth Factor, Phosphatidylinositol 3-Kinases, Mitogen-Activated Protein Kinases, Hepatocytes, Cell Proliferation, Systems Biology, Mice

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review