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


Journal

Journal of visualized experiments : JoVE
ISSN: 1940-087X
Titre abrégé: J Vis Exp
Pays: United States
ID NLM: 101313252

Informations de publication

Date de publication:
26 08 2020
Historique:
entrez: 14 9 2020
pubmed: 15 9 2020
medline: 28 11 2020
Statut: epublish

Résumé

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.

Identifiants

pubmed: 32925885
doi: 10.3791/61642
doi:

Substances chimiques

CALR protein, human 0
Calreticulin 0
DNA 9007-49-2

Types de publication

Journal Article Video-Audio Media

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Tadej Pajič (T)

Department of Hematology, University Medical Centre Ljubljana; Clinical Institute for Genomic Medicine, University Medical Centre Ljubljana; tadej.pajic@kclj.si.

Tanja Belčič Mikič (T)

Department of Hematology, University Medical Centre Ljubljana.

Helena Podgornik (H)

Department of Hematology, University Medical Centre Ljubljana; Faculty of Pharmacy, University of Ljubljana.

Jurka Klun (J)

Department of Hematology, University Medical Centre Ljubljana.

Sandra Šućurović (S)

Department of Hematology, University Medical Centre Ljubljana.

Samo Zver (S)

Department of Hematology, University Medical Centre Ljubljana.

Matjaz Sever (M)

Department of Hematology, University Medical Centre Ljubljana.

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Classifications MeSH