Related Experiment Video

Updated: Feb 11, 2026

Surgical Procedures and Methodology for a Preclinical Murine Model of De Novo Mammary Cancer Metastasis
08:41

Surgical Procedures and Methodology for a Preclinical Murine Model of De Novo Mammary Cancer Metastasis

Published on: July 29, 2017

14.7K

Application of Atlas of Cancer Signalling Network in preclinical studies

L Cristobal Monraz Gomez1, Maria Kondratova1, Jean-Marie Ravel2

  • 1Institut Curie, PSL Research University, F-75005 Paris, France, INSERM, U900, F-75005 Paris, France and MINES ParisTech, PSL Research University, CBIO-Centre for Computational Biology, F-75006 Paris, France.

Briefings in Bioinformatics
|May 5, 2018
PubMed

Insights

The Atlas of Cancer Signalling Network (ACSN) and NaviCell tool integrate omics data for cancer research. This enables network-based molecular portraits, aiding in drug discovery and patient stratification for targeted cancer interventions.

Area of Science:

  • Systems Biology
  • Cancer Research
  • Bioinformatics

Background:

  • Cancer development involves complex molecular mechanisms.
  • Translating this knowledge into actionable guidelines is crucial for effective disease management.

Purpose of the Study:

  • To formalize biological knowledge into the Atlas of Cancer Signalling Network (ACSN).
  • To introduce NaviCell, a Google Maps-based tool for navigating signalling maps.
  • To enable omics data visualization and analysis within cancer signalling networks.

Main Methods:

  • Development of the Atlas of Cancer Signalling Network (ACSN).
  • Implementation of NaviCell for map navigation and omics data integration.
  • Utilizing NaviCell Web Service and NaviCom for network-based molecular portraits.
  • Applying structural analysis of maps with omics data for drug synergy and intervention design.

Main Results:

  • Generation of network-based molecular portraits of cancer using multilevel omics data.
  • Rationalization of synergistic drug effects and design of stage-specific interventions.
  • Identification of associations between molecular mechanism perturbations and cancer risk.
  • Facilitation of cancer data analysis and interpretation through ACSN modules and maps.

Conclusions:

  • ACSN and NaviCell provide powerful resources for understanding cancer molecular mechanisms.
  • These tools support preclinical studies, patient stratification, and drug repositioning.
  • The approach facilitates deciphering gene interactions in cancer hallmarks and guides personalized therapeutic strategies.
Keywords:
cancerdata visualizationdrug responseomics data integration and analysissignalling network mapssynthetic interactionssystems biology

More Related Videos

Orthotopic Transplantation of Breast Tumors as Preclinical Models for Breast Cancer07:45

Orthotopic Transplantation of Breast Tumors as Preclinical Models for Breast Cancer

Published on: May 18, 2020

7.1K
The Power of Simplicity: Sea Urchin Embryos as in Vivo Developmental Models for Studying Complex Cell-to-cell Signaling Network Interactions07:34

The Power of Simplicity: Sea Urchin Embryos as in Vivo Developmental Models for Studying Complex Cell-to-cell Signaling Network Interactions

Published on: February 16, 2017

8.4K

Related Concept Videos

mTOR Signaling and Cancer Progression03:03

mTOR Signaling and Cancer Progression

The mammalian target of rapamycin or mTOR protein was discovered in 1994 due to its direct interaction with rapamycin. The protein gets its name from a yeast homolog called TOR. The mTOR protein complex in mammalian cells plays a major role in balancing anabolic processes such as the synthesis of proteins, lipids, and nucleotides and catabolic processes, such as autophagy in response to environmental cues, such as availability of nutrients and growth factors.
The mTOR pathway or the...
4.9K
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Protein Networks02:26

Protein Networks

2.9K
Network Covalent Solids02:18

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
6.6K
Preclinical Development: Overview01:28

Preclinical Development: Overview

Preclinical development consists of a series of tests that ensure the safety and efficacy of a new therapeutic compound before it is tested in humans. There are four main phases to this process. First, safety pharmacology tests are conducted to ensure the drug does not produce any acutely harmful effects. These tests examine parameters such as bronchoconstriction, cardiac dysrhythmias, blood pressure changes, and ataxia. Next, preliminary toxicological testing is performed to determine the...
6.0K