Functional and Structural Consequences of Damaging Single Nucleotide Polymorphisms in Human Prostate Cancer Predisposition Gene RNASEL

Joint Authors

Datta, Amit
Mazumder, Md. Habibul Hasan
Chowdhury, Afrin Sultana
Hasan, Md. Anayet

Source

BioMed Research International

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-15, 15 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-07-08

Country of Publication

Egypt

No. of Pages

15

Main Subjects

Medicine

Abstract EN

A commonly diagnosed cancer, prostate cancer (PrCa), is being regulated by the gene RNASEL previously known as PRCA1 codes for ribonuclease L which is an integral part of interferon regulated system that mediates antiviral and antiproliferative role of the interferons.

Both somatic and germline mutations have been implicated to cause prostate cancer.

With an array of available Single Nucleotide Polymorphism data on dbSNP this study is designed to sort out functional SNPs in RNASEL by implementing different authentic computational tools such as SIFT, PolyPhen, SNPs&GO, Fathmm, ConSurf, UTRScan, PDBsum, Tm-Align, I-Mutant, and Project HOPE for functional and structural assessment, solvent accessibility, molecular dynamics, and energy minimization study.

Among 794 RNASEL SNP entries 124 SNPs were found nonsynonymous from which SIFT predicted 13 nsSNPs as nontolerable whereas PolyPhen-2 predicted 28.

SNPs found on the 3′ and 5′ UTR were also assessed.

By analyzing six tools having different perspectives an aggregate result was produced where nine nsSNPs were found to be most likely to exert deleterious effect.

3D models of mutated proteins were generated to determine the functional and structural effect of the mutations on ribonuclease L.

The initial findings were reinforced by the results from I-Mutant and Project HOPE as these tools predicted significant structural and functional instability of the mutated proteins.

Expasy-ProSit tool defined the mutations to be situated in the functional domains of the protein.

Considering previous analysis this study revealed a conclusive result deducing the available SNP data on the database by identifying the most damaging three nsSNP rs151296858 (G59S), rs145415894 (A276V), and rs35896902 (R592H).

As such studies involving polymorphisms of RNASEL were none to be found, the results of the current study would certainly be helpful in future prospects concerning prostate cancer in males.

American Psychological Association (APA)

Datta, Amit& Mazumder, Md. Habibul Hasan& Chowdhury, Afrin Sultana& Hasan, Md. Anayet. 2015. Functional and Structural Consequences of Damaging Single Nucleotide Polymorphisms in Human Prostate Cancer Predisposition Gene RNASEL. BioMed Research International،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1054828

Modern Language Association (MLA)

Datta, Amit…[et al.]. Functional and Structural Consequences of Damaging Single Nucleotide Polymorphisms in Human Prostate Cancer Predisposition Gene RNASEL. BioMed Research International No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1054828

American Medical Association (AMA)

Datta, Amit& Mazumder, Md. Habibul Hasan& Chowdhury, Afrin Sultana& Hasan, Md. Anayet. Functional and Structural Consequences of Damaging Single Nucleotide Polymorphisms in Human Prostate Cancer Predisposition Gene RNASEL. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1054828

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1054828