Literature DB >> 32925885

Genetic Variant Detection in the CALR gene using High Resolution Melting Analysis.

Tadej Pajič1, Tanja Belčič Mikič2, Helena Podgornik3, Jurka Klun2, Sandra Šućurović2, Samo Zver2, Matjaz Sever2.   

Abstract

High resolution melting analysis (HRM) is a powerful method for genotyping and genetic variation scanning. Most HRM applications depend on saturating DNA dyes that detect sequence differences, and heteroduplexes that change the shape of the melting curve. Excellent instrument resolution and special data analysis software are needed to identify the small melting curve differences that identify a variant or genotype. Different types of genetic variants with diverse frequencies can be observed in the gene specific for patients with a specific disease, especially cancer and in the CALR gene in patients with Philadelphia chromosome-negative myeloproliferative neoplasms. Single nucleotide changes, insertions and/or deletions (indels) in the gene of interest can be detected by the HRM analysis. The identification of different types of genetic variants is mostly based on the controls used in the qPCR HRM assay. However, as the product length increases, the difference between wild-type and heterozygote curves becomes smaller, and the type of genetic variant is more difficult to determine. Therefore, where indels are the prevalent genetic variant expected in the gene of interest, an additional method such as agarose gel electrophoresis can be used for the clarification of the HRM result. In some instances, an inconclusive result must be re-checked/re-diagnosed by standard Sanger sequencing. In this retrospective study, we applied the method to JAK2 V617F-negative patients with MPN.

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Year:  2020        PMID: 32925885     DOI: 10.3791/61642

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  2 in total

Review 1.  The Contemporary Approach to CALR-Positive Myeloproliferative Neoplasms.

Authors:  Tanja Belčič Mikič; Tadej Pajič; Samo Zver; Matjaž Sever
Journal:  Int J Mol Sci       Date:  2021-03-25       Impact factor: 5.923

2.  Is It Possible to Predict Clonal Thrombocytosis in Triple-Negative Patients with Isolated Thrombocytosis Based Only on Clinical or Blood Findings?

Authors:  Tanja Belčič Mikič; Bor Vratanar; Tadej Pajič; Saša Anžej Doma; Nataša Debeljak; Irena Preložnik Zupan; Matjaž Sever; Samo Zver
Journal:  J Clin Med       Date:  2021-12-11       Impact factor: 4.241

  2 in total

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