Analysis of Missense Mutations of CX3CR1 Gene in Patients with Recurrent Pregnancy Loss Using Bioinformatics Tools

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Mazrouei Bahareh; HEIDARI MOHAMMAD MEHDI; KHATAMI MEHRI

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Ilam University of Medical Sciences Year:2022 | Volume:30 | Issue:3 Page(s): 12-28

Download Full-Text

Persian Verion

View:

165

Download:

Cites:

Information Journal Paper

Title

Analysis of Missense Mutations of CX3CR1 Gene in Patients with Recurrent Pregnancy Loss Using Bioinformatics Tools

Author(s)

Mazrouei Bahareh | HEIDARI MOHAMMAD MEHDI | KHATAMI MEHRI | Issue Writer Certificate

Keywords

Bioinformatics

CX3CR1 gene

Pathogenic mutation

Recurrent pregnancy loss

Abstract

Introduction: Abortion is a common complication that refers to the early termination of pregnancy with the death of the fetus before the 20th week of pregnancy. Previous studies show that many genes are involved in this disease, including the CX3CR1 gene, which is one of the inflammatory response genes in the immune system. The pathogenicity of these variants was determined in this study using Bioinformatics analysis. Material & Methods: In this study, the effects of rs3732378 and rs3732379 mutation were predicted using Bioinformatics tools including SIFT, PolyPhen2, PROVEAN, Predict SNP, and Exome Variant Server. Changes in the stability of mutant proteins were investigated using IMutant and DynaMut tools. Moreover, modeling of the protein structure, docking, and protein-ligand interaction were performed using SWISSMODEL, SwissDock, and FRODOCK tools as well as PyMOL, Hawkdock, and MolSoft software, respectively. Findings: Many polymorphisms related to the CX3CR1 gene have been known to date. Out of 244 missense mutations in the dbSNP database, two variants (rs3732378 and rs3732379) have been reported in association with Recurrent pregnancy loss related to the CX3CR1 gene. The results of Bioinformatics analyses showed that both variants were predicted as Pathogenic mutations and changed the stability of the protein structure and played a key role in interaction with the ligand. Discussion & Conclusion: The findings of this study indicate that two missense mutations in the CX3CR1 gene are an important candidate for recurrent miscarriage and their identification in patients with recurrent miscarriage can be regarded as a risk factor.

Cites

No record.

References

Molecular Mechanisms of Recurrent Pregnancy Loss

Cite

APA: Copy

Mazrouei, Bahareh, HEIDARI, MOHAMMAD MEHDI, & KHATAMI, MEHRI. (2022). Analysis of Missense Mutations of CX3CR1 Gene in Patients with Recurrent Pregnancy Loss Using Bioinformatics Tools. JOURNAL OF ILAM UNIVERSITY OF MEDICAL SCIENCES, 30(3 ), 12-28. SID. https://sid.ir/paper/999506/en

Vancouver: Copy

Mazrouei Bahareh, HEIDARI MOHAMMAD MEHDI, KHATAMI MEHRI. Analysis of Missense Mutations of CX3CR1 Gene in Patients with Recurrent Pregnancy Loss Using Bioinformatics Tools. JOURNAL OF ILAM UNIVERSITY OF MEDICAL SCIENCES[Internet]. 2022;30(3 ):12-28. Available from: https://sid.ir/paper/999506/en

IEEE: Copy

Bahareh Mazrouei, MOHAMMAD MEHDI HEIDARI, and MEHRI KHATAMI, “Analysis of Missense Mutations of CX3CR1 Gene in Patients with Recurrent Pregnancy Loss Using Bioinformatics Tools,” JOURNAL OF ILAM UNIVERSITY OF MEDICAL SCIENCES, vol. 30, no. 3 , pp. 12–28, 2022, [Online]. Available: https://sid.ir/paper/999506/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops