scholarly journals In silico analysis of miR-137 transcription inhibition in homozygous (T/T) schizophrenic patients: a pilot study.

2019 ◽  
Author(s):  
Stephany C Esmaile ◽  
Bruno G Sousa ◽  
Carlos A G Blaha ◽  
Jonas I N Oliveira
Keyword(s):  
Neural Plasticity ◽  
In Silico ◽  
In Silico Analysis ◽  
Dna Conformation ◽  
Nucleotide Polymorphism ◽  
Gene Suppression ◽  
Single Nucleotide ◽  
Schizophrenic Patients ◽  
Conformation Stability ◽  
Silico Analysis

MicroRNA miR-137 single nucleotide polymorphism (rs1625579 SNP) is strongly associated with the worsening of schizophrenia symptoms and is involved in miR-137 gene suppression. MicroRNA miR-137 regulates synaptogenesis, neural plasticity and suppresses a variety of cancertypes. Based on in silico predictions of the current MIR137 Host Gene with and without the SNP, it can be hypothesized that the mutation reversibly inhibits miR-137 gene transcription by steric hindrance due to an alteration on DNA conformation, stability, electrostatic potential, and transcription factor binding sites.

scholarly journals In silico analysis of miR-137 transcription inhibition in homozygous (T/T) schizophrenic patients: a pilot study.

2019 ◽  
Author(s):  
Stephany C Esmaile ◽  
Bruno G Sousa ◽  
Carlos A G Blaha ◽  
Jonas I N Oliveira
Keyword(s):  
Neural Plasticity ◽  
In Silico ◽  
In Silico Analysis ◽  
Dna Conformation ◽  
Nucleotide Polymorphism ◽  
Gene Suppression ◽  
Single Nucleotide ◽  
Schizophrenic Patients ◽  
Conformation Stability ◽  
Silico Analysis

MicroRNA miR-137 single nucleotide polymorphism (rs1625579 SNP) is strongly associated with the worsening of schizophrenia symptoms and is involved in miR-137 gene suppression. MicroRNA miR-137 regulates synaptogenesis, neural plasticity and suppresses a variety of cancertypes. Based on in silico predictions of the current MIR137 Host Gene with and without the SNP, it can be hypothesized that the mutation reversibly inhibits miR-137 gene transcription by steric hindrance due to an alteration on DNA conformation, stability, electrostatic potential, and transcription factor binding sites.

In Silico Analysis of Single Nucleotide Polymorphism in Human Prothrombin Gene

2019 ◽  
Author(s):  
I. Farah ◽  
A. El-Mubark ◽  
M. Osman ◽  
A. Soliman ◽  
F. Ali ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphism ◽  
In Silico ◽  
In Silico Analysis ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Prothrombin Gene ◽  
Silico Analysis

In silico analysis of non-synonymous single nucleotide polymorphism in a human KLK-2 gene associated with prostate cancer

Meta Gene ◽  
2019 ◽  
Vol 21 ◽  
pp. 100578
Author(s):  
Tooba Yousefi ◽  
Seyed Mostafa Mir ◽  
Jahanbakhsh Asadi ◽  
Mehdi Tourani ◽  
Ansar Karimian ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Single Nucleotide Polymorphism ◽  
In Silico ◽  
In Silico Analysis ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Silico Analysis

scholarly journals In Silico Analysis of Single Nucleotide Polymorphism (SNPs) in Human β-Globin Gene

PLoS ONE ◽  
2011 ◽  
Vol 6 (10) ◽  
pp. e25876 ◽  
Author(s):  
Mohammed Alanazi ◽  
Zainularifeen Abduljaleel ◽  
Wajahatullah Khan ◽  
Arjumand S. Warsy ◽  
Mohamed Elrobh ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphism ◽  
In Silico ◽  
Globin Gene ◽  
In Silico Analysis ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Silico Analysis

scholarly journals Characterization and risk association of polymorphisms in Aurora kinases A, B and C with genetic susceptibility to gastric cancer development

BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Aner Mesic ◽  
Marija Rogar ◽  
Petra Hudler ◽  
Nurija Bilalovic ◽  
Izet Eminovic ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Transcription Factors ◽  
In Silico ◽  
In Silico Analysis ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Mitotic Kinases ◽  
Genes Encoding ◽  
Silico Analysis ◽  
Control Study

Abstract Background Single nucleotide polymorphisms (SNPs) in genes encoding mitotic kinases could influence development and progression of gastric cancer (GC). Methods Case-control study of nine SNPs in mitotic genes was conducted using qPCR. The study included 116 GC patients and 203 controls. In silico analysis was performed to evaluate the effects of polymorphisms on transcription factors binding sites. Results The AURKA rs1047972 genotypes (CT vs. CC: OR, 1.96; 95% CI, 1.05–3.65; p = 0.033; CC + TT vs. CT: OR, 1.94; 95% CI, 1.04–3.60; p = 0.036) and rs911160 (CC vs. GG: OR, 5.56; 95% CI, 1.24–24.81; p = 0.025; GG + CG vs. CC: OR, 5.26; 95% CI, 1.19–23.22; p = 0.028), were associated with increased GC risk, whereas certain rs8173 genotypes (CG vs. CC: OR, 0.60; 95% CI, 0.36–0.99; p = 0.049; GG vs. CC: OR, 0.38; 95% CI, 0.18–0.79; p = 0.010; CC + CG vs. GG: OR, 0.49; 95% CI, 0.25–0.98; p = 0.043) were protective. Association with increased GC risk was demonstrated for AURKB rs2241909 (GG + AG vs. AA: OR, 1.61; 95% CI, 1.01–2.56; p = 0.041) and rs2289590 (AC vs. AA: OR, 2.41; 95% CI, 1.47–3.98; p = 0.001; CC vs. AA: OR, 6.77; 95% CI, 2.24–20.47; p = 0.001; AA+AC vs. CC: OR, 4.23; 95% CI, 1.44–12.40; p = 0.009). Furthermore, AURKC rs11084490 (GG + CG vs. CC: OR, 1.71; 95% CI, 1.04–2.81; p = 0.033) was associated with increased GC risk. A combined analysis of five SNPs, associated with an increased GC risk, detected polymorphism profiles where all the combinations contribute to the higher GC risk, with an OR increased 1.51-fold for the rs1047972(CT)/rs11084490(CG + GG) to 2.29-fold for the rs1047972(CT)/rs911160(CC) combinations. In silico analysis for rs911160 and rs2289590 demonstrated that different transcription factors preferentially bind to polymorphic sites, indicating that AURKA and AURKB could be regulated differently depending on the presence of particular allele. Conclusions Our results revealed that AURKA (rs1047972 and rs911160), AURKB (rs2241909 and rs2289590) and AURKC (rs11084490) are associated with a higher risk of GC susceptibility. Our findings also showed that the combined effect of these SNPs may influence GC risk, thus indicating the significance of assessing multiple polymorphisms, jointly. The study was conducted on a less numerous but ethnically homogeneous Bosnian population, therefore further investigations in larger and multiethnic groups and the assessment of functional impact of the results are needed to strengthen the findings.

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