High-resolution melting (HRM) analysis for the detection of single nucleotide polymorphisms in microRNA target sites
Autor: | Jan-Gowth Chang, Pei-Chin Lin, Chun-Chi Chang, Yung-Hsiu Chen, Ta-Chih Liu |
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Rok vydání: | 2011 |
Předmět: |
Genetics
Acute leukemia Genotype Biochemistry (medical) Clinical Biochemistry DNA Mutational Analysis Single-nucleotide polymorphism General Medicine Biology Precursor Cell Lymphoblastic Leukemia-Lymphoma medicine.disease Nucleic Acid Denaturation Biochemistry Polymorphism Single Nucleotide High Resolution Melt Leukemia MicroRNAs Case-Control Studies microRNA medicine Gene silencing Humans Allele frequency Alleles |
Zdroj: | Clinica chimica acta; international journal of clinical chemistry. 413(13-14) |
ISSN: | 1873-3492 |
Popis: | Background The function of microRNAs (miRNAs) depends on the binding of miRNAs to their target sequences in the 3'UTR of messenger RNAs (mRNAs), which enhances the degradation of mRNAs and consequently, represses their expression. Single nucleotide polymorphisms (SNPs) in the miRNA target sequences may affect or impair the binding of miRNAs. Studies have shown that SNPs in miRNA target sites (miR-TS-SNPs) have a great influence on diverse biological functions, including pharmacogenomics and disease susceptibilities in human. Methods High-resolution melting (HRM) analysis was applied for investigating the allele frequencies of 3 miR-TS-SNPs (PLA2G2A, IL-16, and NOD2) in acute leukemia. We also compared the genotypes of acute lymphoblastic leukemia patients at initial diagnosis and complete remission. Results HRM analysis revealed 3 genotypes (both homozygous and heterozygous) in the 3 miR-TS-SNPs. The allele frequencies of all 3 miR-TS-SNPs were similar in normal individuals and patients with acute myelogenous leukemia. Most patients with acute lymphoblastic leukemia had the same genotypes at initial diagnosis and complete remission. Conclusions Large scale scanning of case–control studies for miR-TS-SNPs may contribute to the investigation of their roles and pathogenesis mechanisms in human diseases. Our study showed that HRM analysis can be an efficient tool for studies of miR-TS-SNPs. |
Databáze: | OpenAIRE |
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