Literature DB >> 1312367

Autocrine ligand binding to cell receptors. Mathematical analysis of competition by solution "decoys".

K E Forsten1, D A Lauffenburger.   

Abstract

Autocrine ligands have been demonstrated to regulate cell proliferation, cell adhesion, and cell migration in a number of different systems and are believed to be one of the underlying causes of malignant cell transformation. Binding of these ligands to their cellular receptors can be compromised by diffusive transport of ligand away from the secreting cell. Exogenous addition of antibodies or solution receptors capable of competing with cellular receptors for these autocrine ligands has been proposed as a means of inhibiting autocrine-stimulated cell behavioral responses. Such "decoys" complicate cellular binding by offering alternative binding targets, which may also be capable of aiding or abating transport of the ligand away from the cell surface. We present a mathematical model incorporating autocrine ligand production and the presence of competing cellular and solution receptors. We elucidate effects of key system parameters including ligand diffusion rate, binding rate constants, cell density, and secretion rate on the ability of solution receptors to inhibit cellular receptor binding. Both plated and suspension cell systems are considered. An approximate analytical expression relating the key parameters to the critical concentration of solution "decoys" required for inhibition is derived and compared to the numerical calculations. We find that in order to achieve essentially complete inhibition of surface receptor binding, the concentration of decoys may need to be as much as four to eight orders of magnitude greater than the equilibrium disociation constant for ligand binding to surface receptors.

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Year:  1992        PMID: 1312367      PMCID: PMC1260266          DOI: 10.1016/S0006-3495(92)81856-8

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  24 in total

Review 1.  Platelet-derived growth factor: mechanism of action and possible in vivo function.

Authors:  C H Heldin; B Westermark
Journal:  Cell Regul       Date:  1990-07

2.  Competition between solution and cell surface receptors for ligand. Dissociation of hapten bound to surface antibody in the presence of solution antibody.

Authors:  B Goldstein; R G Posner; D C Torney; J Erickson; D Holowka; B Baird
Journal:  Biophys J       Date:  1989-11       Impact factor: 4.033

3.  Autocrine growth induced by the insulin-related factor in the insulin-independent teratoma cell line 1246-3A.

Authors:  Y Yamada; G Serrero
Journal:  Proc Natl Acad Sci U S A       Date:  1988-08       Impact factor: 11.205

4.  Interleukin-2.

Authors:  K A Smith
Journal:  Sci Am       Date:  1990-03       Impact factor: 2.142

5.  Production of transforming growth factor alpha in human pancreatic cancer cells: evidence for a superagonist autocrine cycle.

Authors:  J J Smith; R Derynck; M Korc
Journal:  Proc Natl Acad Sci U S A       Date:  1987-11       Impact factor: 11.205

6.  Relationship between epidermal growth factor receptor occupancy and mitogenic response. Quantitative analysis using a steady state model system.

Authors:  D J Knauer; H S Wiley; D D Cunningham
Journal:  J Biol Chem       Date:  1984-05-10       Impact factor: 5.157

7.  Autocrine secretion and malignant transformation of cells.

Authors:  M B Sporn; G J Todaro
Journal:  N Engl J Med       Date:  1980-10-09       Impact factor: 91.245

8.  EGF and TGF-alpha, the ligands of hyperproduced EGFR in human esophageal carcinoma cells, act as autocrine growth factors.

Authors:  K Yoshida; E Kyo; T Tsuda; T Tsujino; M Ito; M Niimoto; E Tahara
Journal:  Int J Cancer       Date:  1990-01-15       Impact factor: 7.396

9.  Transforming protein of simian sarcoma virus stimulates autocrine growth of SSV-transformed cells through PDGF cell-surface receptors.

Authors:  J S Huang; S S Huang; T F Deuel
Journal:  Cell       Date:  1984-11       Impact factor: 41.582

10.  Antibodies against platelet-derived growth factor inhibit acute transformation by simian sarcoma virus.

Authors:  A Johnsson; C Betsholtz; C H Heldin; B Westermark
Journal:  Nature       Date:  1985 Oct 3-9       Impact factor: 49.962

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  14 in total

1.  Stochastic model of autocrine and paracrine signals in cell culture assays.

Authors:  Lazaros Batsilas; Alexander M Berezhkovskii; Stanislav Y Shvartsman
Journal:  Biophys J       Date:  2003-12       Impact factor: 4.033

2.  Ligand accumulation in autocrine cell cultures.

Authors:  Michael I Monine; Alexander M Berezhkovskii; Elizabeth J Joslin; H Steven Wiley; Douglas A Lauffenburger; Stanislav Y Shvartsman
Journal:  Biophys J       Date:  2005-01-14       Impact factor: 4.033

Review 3.  Paracrinicity: the story of 30 years of cellular pituitary crosstalk.

Authors:  C Denef
Journal:  J Neuroendocrinol       Date:  2008-01       Impact factor: 3.627

4.  Real-time quantitative measurement of autocrine ligand binding indicates that autocrine loops are spatially localized.

Authors:  D A Lauffenburger; G T Oehrtman; L Walker; H S Wiley
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-22       Impact factor: 11.205

5.  A rate threshold mechanism regulates MAPK stress signaling and survival.

Authors:  Amanda N Johnson; Guoliang Li; Hossein Jashnsaz; Alexander Thiemicke; Benjamin K Kesler; Dustin C Rogers; Gregor Neuert
Journal:  Proc Natl Acad Sci U S A       Date:  2021-01-12       Impact factor: 11.205

Review 6.  Molecular/cell engineering approach to autocrine ligand control of cell function.

Authors:  D A Lauffenburger; K E Forsten; B Will; H S Wiley
Journal:  Ann Biomed Eng       Date:  1995 May-Jun       Impact factor: 3.934

7.  Approximating the effects of diffusion on reversible reactions at the cell surface: ligand-receptor kinetics.

Authors:  B Goldstein; M Dembo
Journal:  Biophys J       Date:  1995-04       Impact factor: 4.033

Review 8.  Cytokine-mediated communication: a quantitative appraisal of immune complexity.

Authors:  Grégoire Altan-Bonnet; Ratnadeep Mukherjee
Journal:  Nat Rev Immunol       Date:  2019-04       Impact factor: 53.106

9.  Computational model and microfluidic platform for the investigation of paracrine and autocrine signaling in mouse embryonic stem cells.

Authors:  David Ellison; Alex Munden; Andre Levchenko
Journal:  Mol Biosyst       Date:  2009-07-02

10.  Simulating Brain Tumor Heterogeneity with a Multiscale Agent-Based Model: Linking Molecular Signatures, Phenotypes and Expansion Rate.

Authors:  Le Zhang; Costas G Strouthos; Zhihui Wang; Thomas S Deisboeck
Journal:  Math Comput Model       Date:  2009-01-01
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