HolistIC: leveraging Hi–C and whole genome shotgun sequencing for double minute chromosome discovery

Author:

Hayes Matthew1ORCID,Nguyen Angela2,Islam Rahib2,Butler Caryn3,Tran Ethan2,Mullins Derrick1,Hicks Chindo4

Affiliation:

1. Department of Physics and Computer Science, Xavier University of Louisiana, New Orleans, LA 70125, USA

2. Department of Biology, Xavier University of Louisiana, New Orleans, LA 70125, USA

3. Department of Public Health Sciences, Xavier University of Louisiana, New Orleans, LA 70125, USA

4. Department of Genetics, Louisiana State University Health Sciences Center New Orleans, New Orleans, LA 70112, USA

Abstract

Abstract Motivation Double minute (DM) chromosomes are acentric extrachromosomal DNA artifacts that are frequently observed in the cells of numerous cancers. They are highly amplified and contain oncogenes and drug-resistance genes, making their presence a challenge for effective cancer treatment. Algorithmic discovery of DM can potentially improve bench-derived therapies for cancer treatment. A hindrance to this task is that DMs evolve, yielding circular chromatin that shares segments from progenitor DMs. This creates DMs with overlapping amplicon coordinates. Existing DM discovery algorithms use whole genome shotgun sequencing (WGS) in isolation, which can potentially incorrectly classify DMs that share overlapping coordinates. Results In this study, we describe an algorithm called ‘HolistIC’ that can predict DMs in tumor genomes by integrating WGS and Hi–C sequencing data. The consolidation of these sources of information resolves ambiguity in DM amplicon prediction that exists in DM prediction with WGS data used in isolation. We implemented and tested our algorithm on the tandem Hi–C and WGS datasets of three cancer datasets and a simulated dataset. Results on the cancer datasets demonstrated HolistIC’s ability to predict DMs from Hi–C and WGS data in tandem. The results on the simulated data showed the HolistIC can accurately distinguish DMs that have overlapping amplicon coordinates, an advance over methods that predict extrachromosomal amplification using WGS data in isolation. Availability and implementation Our software, named ‘HolistIC’, is available at http://www.github.com/mhayes20/HolistIC. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

National Science Foundation

National Institute on Minority Health and Health Disparities-RCMI

National Institute of General Medical Sciences-BUILD

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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