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Paper Information

Journal:   INTERNATIONAL JOURNAL OF MOLECULAR AND CELLULAR MEDICINE   SPRING 2016 , Volume 5 , Number 2; Page(s) 65 To 79.
 
Paper: 

A BIOINFORMATICS APPROACH TO PRIORITIZE SINGLE NUCLEOTIDE POLYMORPHISMS IN TLRS SIGNALING PATHWAY GENES

 
 
Author(s):  ALIPOOR BEHNAM, GHAEDI HAMID, OMRANI MIR DAVOOD, BASTAMI MILAD, MESHKANI REZA*, GOLMOHAMMADI TAGHI
 
* DEPARTMENT OF BIOCHEMISTRY, SCHOOL OF MEDICINE, TEHRAN UNIVERSITY OF MEDICAL SCIENCES, TEHRAN, IRAN
 
Abstract: 

It has been suggested that single nucleotide polymorphisms (SNPs) in genes involved in Toll-like receptors (TLRs) pathway may exhibit broad effects on function of this network and might contribute to a range of human diseases. However, the extent to which these variations affect TLR signaling is not well understood. In this study, we adopted a bioinformatics approach to predict the consequences of SNPs in TLRs network. The consequences of non-synonymous coding SNPs (nsSNPs) were predicted by SIFT, PolyPhen, PANTHER, SNPs& GO, I-Mutant, ConSurf and NetSurf tools. Structural visualization of wild type and mutant protein was performed using the project HOPE and Swiss PDB viewer. The influence of 5-UTR and 3- UTR SNPs were analyzed by appropriate computational approaches. Nineteen nsSNPs in TLRs pathway genes were found to have deleterious consequences as predicted by the combination of different algorithms. Moreover, our results suggested that SNPs located at UTRs of TLRs pathway genes may potentially influence binding of transcription factors or microRNAs. By applying a pathway-based bioinformatics analysis of genetic variations, we provided a prioritized list of potentially deleterious variants. These findings may facilitate the selection of proper variants for future functional and/or association studies.

 
Keyword(s): BIOINFORMATICS, IN-SILICO ANALYSIS, SINGLE NUCLEOTIDE POLYMORPHISMS, TOLL- LIKE RECEPTORS
 
 
References: 
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Click to Cite.
APA: Copy

ALIPOOR, B., & GHAEDI, H., & OMRANI, M., & BASTAMI, M., & MESHKANI, R., & GOLMOHAMMADI, T. (2016). A BIOINFORMATICS APPROACH TO PRIORITIZE SINGLE NUCLEOTIDE POLYMORPHISMS IN TLRS SIGNALING PATHWAY GENES. INTERNATIONAL JOURNAL OF MOLECULAR AND CELLULAR MEDICINE, 5(2), 65-79. https://www.sid.ir/en/journal/ViewPaper.aspx?id=507442



Vancouver: Copy

ALIPOOR BEHNAM, GHAEDI HAMID, OMRANI MIR DAVOOD, BASTAMI MILAD, MESHKANI REZA, GOLMOHAMMADI TAGHI. A BIOINFORMATICS APPROACH TO PRIORITIZE SINGLE NUCLEOTIDE POLYMORPHISMS IN TLRS SIGNALING PATHWAY GENES. INTERNATIONAL JOURNAL OF MOLECULAR AND CELLULAR MEDICINE. 2016 [cited 2021May09];5(2):65-79. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=507442



IEEE: Copy

ALIPOOR, B., GHAEDI, H., OMRANI, M., BASTAMI, M., MESHKANI, R., GOLMOHAMMADI, T., 2016. A BIOINFORMATICS APPROACH TO PRIORITIZE SINGLE NUCLEOTIDE POLYMORPHISMS IN TLRS SIGNALING PATHWAY GENES. INTERNATIONAL JOURNAL OF MOLECULAR AND CELLULAR MEDICINE, [online] 5(2), pp.65-79. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=507442.



 
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