Work

Multiscale characterization of ageing and cancer progression by a novel network entropy measure

Year: 2015

Type: article

Abstract: We characterize different cell states, related to cancer and ageing phenotypes, by a measure of entropy of network ensembles, integrating gene expression profiling values and protein interaction network topology. In our case studies, network entropy, that by definition estimates the number of possible network instances satisfying the given constraints, can be interpreted as a measure of the "parameter space" available to the cell. Network entropy was able to characterize specific pathological conditions: normal versus cancer cells, primary tumours that developed metastasis or relapsed, and extreme longevity samples. Moreover, this approach has been applied at different scales, from whole network to specific subnetworks (biological pathways defined on a priori biological knowledge) and single nodes (genes), allowing a deeper understanding of the cell processes involved.

Source: Molecular BioSystems

DOI: 10.1039/c5mb00143a

Authors: Giulia Menichetti, Ginestra Bianconi, Gastone Castellani, Enrico Giampieri, Daniel Remondini

Institutions: Istituto Nazionale di Fisica Nucleare, Sezione di Bologna, University of Bologna, Queen Mary University of London

Language: English

Topic: Bioinformatics and Genomic Networks

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W2144384671

FWCI: 1.446

Cites: 35

Cited by: 21

Related to: 10