Literature DB >> 29726961

Application of Atlas of Cancer Signalling Network in preclinical studies.

L Cristobal Monraz Gomez1, Maria Kondratova1, Jean-Marie Ravel2, Emmanuel Barillot1, Andrei Zinovyev1, Inna Kuperstein1.   

Abstract

Cancer initiation and progression are associated with multiple molecular mechanisms. The knowledge of these mechanisms is expanding and should be converted into guidelines for tackling the disease. Here, we discuss the formalization of biological knowledge into a comprehensive resource: the Atlas of Cancer Signalling Network (ACSN) and the Google Maps-based tool NaviCell, which supports map navigation. The application of ACSN for omics data visualization, in the context of signalling maps, is possible via the NaviCell Web Service module and through the NaviCom tool. It allows generation of network-based molecular portraits of cancer using multilevel omics data. We review how these resources and tools are applied for cancer preclinical studies. Structural analysis of the maps together with omics data helps to rationalize the synergistic effects of drugs and allows design of complex disease stage-specific druggable interventions. The use of ACSN modules and maps as signatures of biological functions can help in cancer data analysis and interpretation. In addition, they empowered finding of associations between perturbations in particular molecular mechanisms and the risk to develop a specific type of cancer. These approaches are helpful, among others, to study the interplay between molecular mechanisms of cancer. It opens an opportunity to decipher how gene interactions govern the hallmarks of cancer in specific contexts. We discuss a perspective to develop a flexible methodology and a pipeline to enable systematic omics data analysis in the context of signalling network maps, for stratifying patients and suggesting interventions points and drug repositioning in cancer and other diseases.
© The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  cancer; data visualization; drug response; omics data integration and analysis; signalling network maps; synthetic interactions; systems biology

Mesh:

Year:  2019        PMID: 29726961     DOI: 10.1093/bib/bby031

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  3 in total

1.  A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures.

Authors:  Maria Kondratova; Urszula Czerwinska; Nicolas Sompairac; Sebastian D Amigorena; Vassili Soumelis; Emmanuel Barillot; Andrei Zinovyev; Inna Kuperstein
Journal:  Nat Commun       Date:  2019-10-22       Impact factor: 14.919

2.  Antioxidant Activity and the Potential Mechanism of the Fruit From Ailanthus altissima Swingle.

Authors:  Ya-Nan Mo; Feng Cheng; Zhen Yang; Xiao-Fei Shang; Jian-Ping Liang; Ruo-Feng Shang; Bao-Cheng Hao; Xue-Hong Wang; Hong-Juan Zhang; Ahmidin Wali; Chun-Fang Lu; Yu Liu
Journal:  Front Vet Sci       Date:  2021-12-13

3.  Mechanisms of Vitamin C Regulating Immune and Inflammation Associated with Neonatal Hypoxic-Ischemic Encephalopathy Based on Network Pharmacology and Molecular Simulation Technology.

Authors:  Shangbin Li; Shuangshuang Li; Qian Zhao; Jiayu Huang; Jinfeng Meng; Weichen Yan; Jie Wang; Changjun Ren; Ling Hao
Journal:  Evid Based Complement Alternat Med       Date:  2022-02-14       Impact factor: 2.629

  3 in total

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