Evidence map›Paper›PMID 33326415›Full record

ArticlePLoS computational biology2020

Hi-C implementation of genome structure for in silico models of radiation-induced DNA damage.

Samuel P Ingram, Nicholas T Henthorn, John W Warmenhoven, Norman F Kirkby, Ranald I Mackay, Karen J Kirkby, Michael J Merchant

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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.

Samuel P IngramDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, United Kingdom.ORCID 0000-0002-1786-349X
Nicholas T HenthornDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, United Kingdom.ORCID 0000-0002-9670-7638
John W WarmenhovenDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, United Kingdom.ORCID 0000-0002-3638-7759
Norman F KirkbyDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, United Kingdom.ORCID 0000-0001-5352-8069
Ranald I MackayDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, United Kingdom.
Karen J KirkbyDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, United Kingdom.ORCID 0000-0002-0901-210X
Michael J MerchantDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, United Kingdom.ORCID 0000-0001-8422-5255
Manchester Academic Health Science Centre · GBUniversity of Manchester · GB

Funding

Department of Health BRC-1215-20007
6 · The paper itself

Abstract

Developments in the genome organisation field has resulted in the recent methodology to infer spatial conformations of the genome directly from experimentally measured genome contacts (Hi-C data). This provides a detailed description of both intra- and inter-chromosomal arrangements. Chromosomal intermingling is an important driver for radiation-induced DNA mis-repair. Which is a key biological endpoint of relevance to the fields of cancer therapy (radiotherapy), public health (biodosimetry) and space travel. For the first time, we leverage these methods of inferring genome organisation and couple them to nano-dosimetric radiation track structure modelling to predict quantities and distribution of DNA damage within cell-type specific geometries. These nano-dosimetric simulations are highly dependent on geometry and are benefited from the inclusion of experimentally driven chromosome conformations. We show how the changes in Hi-C contract maps impact the inferred geometries resulting in significant differences in chromosomal intermingling. We demonstrate how these differences propagate through to significant changes in the distribution of DNA damage throughout the cell nucleus, suggesting implications for DNA repair fidelity and subsequent cell fate. We suggest that differences in the geometric clustering for the chromosomes between the cell-types are a plausible factor leading to changes in cellular radiosensitivity. Furthermore, we investigate changes in cell shape, such as flattening, and show that this greatly impacts the distribution of DNA damage. This should be considered when comparing in vitro results to in vivo systems. The effect may be especially important when attempting to translate radiosensitivity measurements at the experimental in vitro level to the patient or human level.

Indexed as

DNA Breaks, Double-StrandedGenomeChromosomesCluster AnalysisComputer SimulationDNAHumansNeoplasmsRadiation ToleranceDNA

Identifiers

PMID33326415
PMCPMC7773326
OpenAlexW3112162863

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.