Chromatin network markers of leukemia

Author:

Malod-Dognin N12,Pancaldi V134,Valencia A156,Pržulj N125

Affiliation:

1. Department of Life Sciences, Barcelona Supercomputing Center (BSC), Barcelona 08034, Spain

2. Department of Computer Science, University College London, London WC1E 6BT, UK

3. Centre de Recherches en Cancérologie de Toulouse (CRCT), Toulouse 31037, France

4. University Paul Sabatier III, Toulouse 31330, France

5. ICREA, Pg. Lluís Companys 23, Barcelona 08010, Spain

6. Coordination Node, Spanish National Bioinformatics Institute, ELIXIR-Spain (INB, ELIXIR-ES), Madrid 28029, Spain

Abstract

Abstract Motivation The structure of chromatin impacts gene expression. Its alteration has been shown to coincide with the occurrence of cancer. A key challenge is in understanding the role of chromatin structure (CS) in cellular processes and its implications in diseases. Results We propose a comparative pipeline to analyze CSs and apply it to study chronic lymphocytic leukemia (CLL). We model the chromatin of the affected and control cells as networks and analyze the network topology by state-of-the-art methods. Our results show that CSs are a rich source of new biological and functional information about DNA elements and cells that can complement protein–protein and co-expression data. Importantly, we show the existence of structural markers of cancer-related DNA elements in the chromatin. Surprisingly, CLL driver genes are characterized by specific local wiring patterns not only in the CS network of CLL cells, but also of healthy cells. This allows us to successfully predict new CLL-related DNA elements. Importantly, this shows that we can identify cancer-related DNA elements in other cancer types by investigating the CS network of the healthy cell of origin, a key new insight paving the road to new therapeutic strategies. This gives us an opportunity to exploit chromosome conformation data in healthy cells to predict new drivers. Availability and implementation Our predicted CLL genes and RNAs are provided as a free resource to the community at https://life.bsc.es/iconbi/chromatin/index.html. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

European Research Council

ERC

Serbian Ministry of Education and Science

Slovenian Research Agency

Foundation Toulouse Cancer Santé and Pierre Fabre Research Institute

Chair of Bio-Informatics in Oncology of the CRCT

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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1. Node features of chromosome structure networks and their connections to genome annotation;Computational and Structural Biotechnology Journal;2024-12

2. Current and future directions in network biology;Bioinformatics Advances;2024

3. Network models of chromatin structure;Current Opinion in Genetics & Development;2023-06

4. Mapping Multi-Factor-Mediated Chromatin Interactions to Assess Dysregulation of Lung Cancer-Related Genes;Genomics, Proteomics & Bioinformatics;2023-01-23

5. CoDe: a web-based tool for codon deoptimization;Bioinformatics Advances;2023-01-01

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