Literature DB >> 33297362

Insights on TAM Formation from a Boolean Model of Macrophage Polarization Based on In Vitro Studies.

Malvina Marku1,2, Nina Verstraete1,2, Flavien Raynal1,2, Miguel Madrid-Mencía1,2, Marcin Domagala1,2, Jean-Jacques Fournié1,2, Loïc Ysebaert1,2,3, Mary Poupot1,2, Vera Pancaldi1,2,4.   

Abstract

The tumour microenvironment is the surrounding of a tumour, including blood vessels, fibroblasts, signaling molecules, the extracellular matrix and immune cells, especially neutrophils and monocyte-derived macrophages. In a tumour setting, macrophages encompass a spectrum between a tumour-suppressive (M1) or tumour-promoting (M2) state. The biology of macrophages found in tumours (Tumour Associated Macrophages) remains unclear, but understanding their impact on tumour progression is highly important. In this paper, we perform a comprehensive analysis of a macrophage polarization network, following two lines of enquiry: (i) we reconstruct the macrophage polarization network based on literature, extending it to include important stimuli in a tumour setting, and (ii) we build a dynamical model able to reproduce macrophage polarization in the presence of different stimuli, including the contact with cancer cells. Our simulations recapitulate the documented macrophage phenotypes and their dependencies on specific receptors and transcription factors, while also unravelling the formation of a special type of tumour associated macrophages in an in vitro model of chronic lymphocytic leukaemia. This model constitutes the first step towards elucidating the cross-talk between immune and cancer cells inside tumours, with the ultimate goal of identifying new therapeutic targets that could control the formation of tumour associated macrophages in patients.

Entities:  

Keywords:  Boolean model; chronic lymphocytic leukaemia; macrophage polarization; nurse-like cells; tumour associated macrophage

Year:  2020        PMID: 33297362      PMCID: PMC7762229          DOI: 10.3390/cancers12123664

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  87 in total

1.  Boolean dynamics of genetic regulatory networks inferred from microarray time series data.

Authors:  Shawn Martin; Zhaoduo Zhang; Anthony Martino; Jean-Loup Faulon
Journal:  Bioinformatics       Date:  2007-01-31       Impact factor: 6.937

2.  Role of Tumor-Associated Macrophages in the Clinical Course of Pancreatic Neuroendocrine Tumors (PanNETs).

Authors:  Lei Cai; Theodoros Michelakos; Vikram Deshpande; Kshitij S Arora; Teppei Yamada; David T Ting; Marty S Taylor; Carlos Fernandez-Del Castillo; Andrew L Warshaw; Keith D Lillemoe; Soldano Ferrone; Cristina R Ferrone
Journal:  Clin Cancer Res       Date:  2019-01-22       Impact factor: 12.531

Review 3.  Diversity, Mechanisms, and Significance of Macrophage Plasticity.

Authors:  Massimo Locati; Graziella Curtale; Alberto Mantovani
Journal:  Annu Rev Pathol       Date:  2019-09-17       Impact factor: 23.472

Review 4.  Oncogenic mutant forms of EGFR: lessons in signal transduction and targets for cancer therapy.

Authors:  Gur Pines; Wolfgang J Köstler; Yosef Yarden
Journal:  FEBS Lett       Date:  2010-04-11       Impact factor: 4.124

Review 5.  Inference of plant gene regulatory networks using data-driven methods: A practical overview.

Authors:  Shubhada R Kulkarni; Klaas Vandepoele
Journal:  Biochim Biophys Acta Gene Regul Mech       Date:  2019-10-31       Impact factor: 4.490

6.  Cutting edge: Stat6-dependent substrate depletion regulates nitric oxide production.

Authors:  R Rutschman; R Lang; M Hesse; J N Ihle; T A Wynn; P J Murray
Journal:  J Immunol       Date:  2001-02-15       Impact factor: 5.422

7.  Hierarchical differentiation of myeloid progenitors is encoded in the transcription factor network.

Authors:  Jan Krumsiek; Carsten Marr; Timm Schroeder; Fabian J Theis
Journal:  PLoS One       Date:  2011-08-10       Impact factor: 3.240

8.  Boolean network simulations for life scientists.

Authors:  István Albert; Juilee Thakar; Song Li; Ranran Zhang; Réka Albert
Journal:  Source Code Biol Med       Date:  2008-11-14

9.  Nurse-like cells promote CLL survival through LFA-3/CD2 interactions.

Authors:  Loic Ysebaert; Mary Poupot; Frédéric Boissard; Marie Tosolini; Laetitia Ligat; Anne Quillet-Mary; Frederic Lopez; Jean-Jacques Fournié
Journal:  Oncotarget       Date:  2016-11-26
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  1 in total

Review 1.  Systems biology of angiogenesis signaling: Computational models and omics.

Authors:  Yu Zhang; Hanwen Wang; Rebeca Hannah M Oliveira; Chen Zhao; Aleksander S Popel
Journal:  WIREs Mech Dis       Date:  2021-12-30
  1 in total

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