Evidence map›Paper›PMID 34888626›Full record

ArticleBioinformatics (Oxford, England)2022

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

Matthew Hayes, Angela Nguyen, Rahib Islam, Caryn Butler, Ethan Tran, Derrick Mullins, Chindo Hicks

Open access · greenAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Targeting extrachromosomal DNA in human cancers.Nature reviews. Drug discovery · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Matthew HayesDepartment of Physics and Computer Science, Xavier University of Louisiana, New Orleans, LA 70125, USA.ORCID 0000-0002-0457-8550
Angela NguyenDepartment of Biology, Xavier University of Louisiana, New Orleans, LA 70125, USA.
Rahib IslamDepartment of Biology, Xavier University of Louisiana, New Orleans, LA 70125, USA.
Caryn ButlerDepartment of Public Health Sciences, Xavier University of Louisiana, New Orleans, LA 70125, USA.
Ethan TranDepartment of Biology, Xavier University of Louisiana, New Orleans, LA 70125, USA.
Derrick MullinsDepartment of Physics and Computer Science, Xavier University of Louisiana, New Orleans, LA 70125, USA.
Chindo HicksDepartment of Genetics, Louisiana State University Health Sciences Center New Orleans, New Orleans, LA 70112, USA.
Xavier University of Louisiana · USLouisiana State University Health Sciences Center New Orleans · US

Funding

PROJECT PATHWAYS: STUDENT TRAINING CORETL4GM118968 · NIGMS · XAVIER UNIVERSITY OF LOUISIANA · PI FOROOZESH, MARYAM, GIGUETTE, MARGUERITE · 2015 to 2023
$9.2M
National Institute of General Medical Sciences-BUILD 8UL1GM118967National Institute on Minority Health and Health Disparities-RCMI 5G12MD007595National Science Foundation HRD-1901258NIGMS NIH HHS TL4 GM118968
6 · The paper itself

Abstract

motivationDouble 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.

resultsIn 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.

Indexed as

ChromosomesNeoplasmsChromatinChromosome AberrationsHumansOncogenesChromatin

Identifiers

PMID34888626
PMCPMC9991898
OpenAlexW4205591602

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.