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SNP haplotyping technique for evaluation of MGP 5′ UTR power in osteoblast cells

Overview of attention for article published in SpringerPlus, June 2016
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Title
SNP haplotyping technique for evaluation of MGP 5′ UTR power in osteoblast cells
Published in
SpringerPlus, June 2016
DOI 10.1186/s40064-016-2329-8
Pubmed ID
Authors

Abazar Roustazadeh, Seyed Hamidreza Monavari, Seyed Reza Hosseini Fard, Parisa Hassanpour, Amaneh Yarnazari, Mohammad Najafi

Abstract

Matrix Gla protein (MGP) is involved in calcium trafficking and arterial calcification. The aim of study was to investigate the role of three polymorphisms within the MGP gene promoter region on reporter gene (luciferase) expression level. The fragments containing rs1800799 (C/T), rs1800802 (T/C), and rs1800801 (G/A) sites were constructed and transferred into human G292 osteoblast cells using pGL3-Basic plasmid. The reporter gene expression was calculated for the high and low frequency polymorphic haplotypes (CTG and TCA, respectively). Results showed that the reporter gene expression levels are not statistically different (p > 0.3). We concluded that the investigated polymorphic sites are not able to change the gene expression pattern in human G292 osteoblast cells.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 50%
Student > Ph. D. Student 1 25%
Unknown 1 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 25%
Chemistry 1 25%
Medicine and Dentistry 1 25%
Unknown 1 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 July 2016.
All research outputs
#6,057,770
of 7,992,937 outputs
Outputs from SpringerPlus
#1,069
of 1,714 outputs
Outputs of similar age
#182,788
of 260,267 outputs
Outputs of similar age from SpringerPlus
#85
of 104 outputs
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