Characterizing cancer chromosome aberration pathways using multigraphs.
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| Title: | Characterizing cancer chromosome aberration pathways using multigraphs. |
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| Authors: | Sheth, Siddharth1 (AUTHOR), Arsuaga, Javier2,3 (AUTHOR), Sazdanovic, Radmila4 (AUTHOR) rsazdan@ncsu.edu |
| Source: | Journal of Physics A: Mathematical & Theoretical. 2026, Vol. 59 Issue 11, p1-24. 24p. |
| Subjects: | Chromosome abnormalities, Multigraph, DNA damage, Tumors, Partially ordered sets, Graph theory, Double-strand DNA breaks |
| Abstract: | Exchange-type chromosome aberrations are the result of chromosome breaks and joining reactions that are commonly observed in evolution, in cancer cells and in cells that have been exposed to DNA damaging agents. Aberration multigraphs provide a complete description of chromosome aberrations, and describe pathways of aberration formation in terms of cyclic graphs or cycles. Experimentally, the complete structure of these cycles is often unknown and different imputation methods have been proposed. Characterizing different imputed cycle structures and relations between them remains an open question. We present theoretical and computational enumeration results addressing this question. Additionally, inspired by evolutionary studies, we propose the use of chromosome fragment inversions/reversals to establish a partial order relation between cycles. We provide sufficient conditions that determine the preservation of cycles by edge reversals and use this partial order and the theory of Young diagrams and partitions to build a graded poset structure of cycles. We show how reversals and the graded poset structure of cycles help analyze chromosome aberration pathways with missing data. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Physics A: Mathematical & Theoretical is the property of IOP Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 192380080 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Characterizing cancer chromosome aberration pathways using multigraphs. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sheth%2C+Siddharth%22">Sheth, Siddharth</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Arsuaga%2C+Javier%22">Arsuaga, Javier</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sazdanovic%2C+Radmila%22">Sazdanovic, Radmila</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> rsazdan@ncsu.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Physics+A%3A+Mathematical+%26+Theoretical%22">Journal of Physics A: Mathematical & Theoretical</searchLink>. 2026, Vol. 59 Issue 11, p1-24. 24p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Chromosome+abnormalities%22">Chromosome abnormalities</searchLink><br /><searchLink fieldCode="DE" term="%22Multigraph%22">Multigraph</searchLink><br /><searchLink fieldCode="DE" term="%22DNA+damage%22">DNA damage</searchLink><br /><searchLink fieldCode="DE" term="%22Tumors%22">Tumors</searchLink><br /><searchLink fieldCode="DE" term="%22Partially+ordered+sets%22">Partially ordered sets</searchLink><br /><searchLink fieldCode="DE" term="%22Graph+theory%22">Graph theory</searchLink><br /><searchLink fieldCode="DE" term="%22Double-strand+DNA+breaks%22">Double-strand DNA breaks</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Exchange-type chromosome aberrations are the result of chromosome breaks and joining reactions that are commonly observed in evolution, in cancer cells and in cells that have been exposed to DNA damaging agents. Aberration multigraphs provide a complete description of chromosome aberrations, and describe pathways of aberration formation in terms of cyclic graphs or cycles. Experimentally, the complete structure of these cycles is often unknown and different imputation methods have been proposed. Characterizing different imputed cycle structures and relations between them remains an open question. We present theoretical and computational enumeration results addressing this question. Additionally, inspired by evolutionary studies, we propose the use of chromosome fragment inversions/reversals to establish a partial order relation between cycles. We provide sufficient conditions that determine the preservation of cycles by edge reversals and use this partial order and the theory of Young diagrams and partitions to build a graded poset structure of cycles. We show how reversals and the graded poset structure of cycles help analyze chromosome aberration pathways with missing data. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Physics A: Mathematical & Theoretical is the property of IOP Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1088/1751-8121/ae4d8f Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 1 Subjects: – SubjectFull: Chromosome abnormalities Type: general – SubjectFull: Multigraph Type: general – SubjectFull: DNA damage Type: general – SubjectFull: Tumors Type: general – SubjectFull: Partially ordered sets Type: general – SubjectFull: Graph theory Type: general – SubjectFull: Double-strand DNA breaks Type: general Titles: – TitleFull: Characterizing cancer chromosome aberration pathways using multigraphs. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sheth, Siddharth – PersonEntity: Name: NameFull: Arsuaga, Javier – PersonEntity: Name: NameFull: Sazdanovic, Radmila IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 03 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 17518113 Numbering: – Type: volume Value: 59 – Type: issue Value: 11 Titles: – TitleFull: Journal of Physics A: Mathematical & Theoretical Type: main |
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