Evidence map›Paper›PMID 39021990›Full record

ArticleHeliyon2024

Investigating the structural and functional consequences of germline single nucleotide polymorphisms located in the genes of the alternative lengthening of telomere (ALT) pathway.

Nurun Nahar Nila, Zimam Mahmud, Anik Paul, Taibur Rahman, Md Zakir Hossain Howlader, Md Ismail Hosen

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Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nurun Nahar NilaDepartment of Biochemistry and Molecular Biology, University of Dhaka, Dhaka-1000, Bangladesh.
Zimam MahmudDepartment of Biochemistry and Molecular Biology, University of Dhaka, Dhaka-1000, Bangladesh.
Anik PaulDepartment of Biochemistry and Molecular Biology, University of Dhaka, Dhaka-1000, Bangladesh.
Taibur RahmanDepartment of Biochemistry and Molecular Biology, University of Dhaka, Dhaka-1000, Bangladesh.
Md Zakir Hossain HowladerDepartment of Biochemistry and Molecular Biology, University of Dhaka, Dhaka-1000, Bangladesh.
Md Ismail HosenDepartment of Biochemistry and Molecular Biology, University of Dhaka, Dhaka-1000, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Alternative Lengthening of Telomeres (ALT) pathway represents a non-canonical mechanism of telomere maintenance that operates independently of the conventional telomerase activity. The three biologically significant proteins, designated as SMARCAL1 (SWI/SNF-related matrix-associated actin-dependent regulator of chromatin subfamily A-like protein 1), DAXX (Death domain-associated protein 6) and ATRX (alpha-thalassemia/mental retardation, X-linked) are associated with ALT in certain cancer types. The purpose of this study was to identify the most high-risk nsSNPs (non-synonymous Single Nucleotide Polymorphisms) within these three genes and assess their impacts on the structure and function of the proteins they encode. Methods: The reported genetic polymorphisms of Result: Analysis on SMARCAL1 protein revealed that among 665 nsSNPs, four were identified as the most deleterious: L578S, T581S, P582A, and P582S. Similarly, within the DAXX protein, among a pool of 480 nsSNPs, P284S, R230C, and R230S were found out to be the most deleterious variants. In case of ATRX protein, V178D, R246C, and V277G, from the total of 1009 nsSNPs, were predicted to be the most deleterious. All these nsSNPs were found to occur at residue positions that are 100 % conserved within protein domains and were predicted to be most damaging from both structural and functional perspectives and highly destabilizing to their corresponding proteins. Conclusion: Computational investigation on the 3 proteins-SMARCAL1, DAXX and ATRX through different bioinformatics analysis tools concludes that the identified high risk nsSNPs of these proteins are pathogenic SNPs. These variants potentially exert functional and structural influences, thus making them valuable candidates for future genetic studies.

Indexed as

ALTATRXDAXXnsSNPsSMARCAL1

Identifiers

PMID39021990
PMCPMC11253002

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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.