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Computational analysis of functional single nucleotide polymorphisms associated with SLC26A4 gene
Single Nucleotide Polymorphisms (SNPs) are the most common candidate mutations in human beings that play a vital role in the genetic basis of certain diseases. Previous studies revealed that Solute Carrier Family 26 Member 4 (SLC26A4) being an essential gene of the multi-faceted transporter family S...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977751/ https://www.ncbi.nlm.nih.gov/pubmed/31971949 http://dx.doi.org/10.1371/journal.pone.0225368 |
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author | Hasnain, Mirza Jawad Ul Shoaib, Muhammad Qadri, Salman Afzal, Bakhtawar Anwar, Tehreem Abbas, Syed Hassan Sarwar, Amina Talha Malik, Hafiz Muhammad Tariq Pervez, Muhammad |
author_facet | Hasnain, Mirza Jawad Ul Shoaib, Muhammad Qadri, Salman Afzal, Bakhtawar Anwar, Tehreem Abbas, Syed Hassan Sarwar, Amina Talha Malik, Hafiz Muhammad Tariq Pervez, Muhammad |
author_sort | Hasnain, Mirza Jawad Ul |
collection | PubMed |
description | Single Nucleotide Polymorphisms (SNPs) are the most common candidate mutations in human beings that play a vital role in the genetic basis of certain diseases. Previous studies revealed that Solute Carrier Family 26 Member 4 (SLC26A4) being an essential gene of the multi-faceted transporter family SLC26 facilitates reflexive movement of Iodide into follicular lumen through apical membrane of thyrocyte. SLC26A4 gene encodes Pendred protein, a membrane glycoprotein, highly hydrophobic in nature, present at the apical membrane of thyrocyte functioning as transporter of iodide for thyroid cells. A minor genetic variation in SLC26A4 can cause Pendred syndrome, a syndrome associated with thyroid glands and deafness. In this study, we performed in-silico analysis of 674 missense SNPs of SLC26A4 using different computational platforms. The bunch of tools including SNPNEXUS, SNAP-2, PhD-SNP, SNPs&GO, I-Mutant, ConSurf, and ModPred were used to predict 23 highly confident damaging and disease causing nsSNPs (G209V, G197R, L458P, S427P, Q101P, W472R, N392Y, V359E, R409C, Q235R, R409P, G139V, G497S, H723R, D87G, Y127H, F667C, G334A, G95R, S427C, R291W, Q383H and E384G) that could potentially alter the SLC26A4 gene. Moreover, protein structure prediction, protein-ligand docking and Molecular Dynamics simulation were performed to confirm the impact of two evident alterations (Y127H and G334A) on the protein structure and function. |
format | Online Article Text |
id | pubmed-6977751 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-69777512020-02-07 Computational analysis of functional single nucleotide polymorphisms associated with SLC26A4 gene Hasnain, Mirza Jawad Ul Shoaib, Muhammad Qadri, Salman Afzal, Bakhtawar Anwar, Tehreem Abbas, Syed Hassan Sarwar, Amina Talha Malik, Hafiz Muhammad Tariq Pervez, Muhammad PLoS One Research Article Single Nucleotide Polymorphisms (SNPs) are the most common candidate mutations in human beings that play a vital role in the genetic basis of certain diseases. Previous studies revealed that Solute Carrier Family 26 Member 4 (SLC26A4) being an essential gene of the multi-faceted transporter family SLC26 facilitates reflexive movement of Iodide into follicular lumen through apical membrane of thyrocyte. SLC26A4 gene encodes Pendred protein, a membrane glycoprotein, highly hydrophobic in nature, present at the apical membrane of thyrocyte functioning as transporter of iodide for thyroid cells. A minor genetic variation in SLC26A4 can cause Pendred syndrome, a syndrome associated with thyroid glands and deafness. In this study, we performed in-silico analysis of 674 missense SNPs of SLC26A4 using different computational platforms. The bunch of tools including SNPNEXUS, SNAP-2, PhD-SNP, SNPs&GO, I-Mutant, ConSurf, and ModPred were used to predict 23 highly confident damaging and disease causing nsSNPs (G209V, G197R, L458P, S427P, Q101P, W472R, N392Y, V359E, R409C, Q235R, R409P, G139V, G497S, H723R, D87G, Y127H, F667C, G334A, G95R, S427C, R291W, Q383H and E384G) that could potentially alter the SLC26A4 gene. Moreover, protein structure prediction, protein-ligand docking and Molecular Dynamics simulation were performed to confirm the impact of two evident alterations (Y127H and G334A) on the protein structure and function. Public Library of Science 2020-01-23 /pmc/articles/PMC6977751/ /pubmed/31971949 http://dx.doi.org/10.1371/journal.pone.0225368 Text en © 2020 Hasnain et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Hasnain, Mirza Jawad Ul Shoaib, Muhammad Qadri, Salman Afzal, Bakhtawar Anwar, Tehreem Abbas, Syed Hassan Sarwar, Amina Talha Malik, Hafiz Muhammad Tariq Pervez, Muhammad Computational analysis of functional single nucleotide polymorphisms associated with SLC26A4 gene |
title | Computational analysis of functional single nucleotide polymorphisms associated with SLC26A4 gene |
title_full | Computational analysis of functional single nucleotide polymorphisms associated with SLC26A4 gene |
title_fullStr | Computational analysis of functional single nucleotide polymorphisms associated with SLC26A4 gene |
title_full_unstemmed | Computational analysis of functional single nucleotide polymorphisms associated with SLC26A4 gene |
title_short | Computational analysis of functional single nucleotide polymorphisms associated with SLC26A4 gene |
title_sort | computational analysis of functional single nucleotide polymorphisms associated with slc26a4 gene |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977751/ https://www.ncbi.nlm.nih.gov/pubmed/31971949 http://dx.doi.org/10.1371/journal.pone.0225368 |
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