Evidence map›Paper›PMID 31413649›Full record

ArticleJournal of blood medicine2019

Analysis of the reannealing- instead of melting-curve in the detection of JAK2 V617F mutation by HRM method.

Alireza Moradabadi, Ahmad Fatemi, Ali Noroozi-Aghideh

Open access · goldAbstract read
In one paragraph

Article in Journal of blood medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. High resolution melting analysis and detection of Leishmania resistance: the role of multi drug resistance 1 gene.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Alireza MoradabadiDepartment of Hematology, Faculty of Paramedicine, Aja University of Medical Sciences, Tehran, Iran.
Ahmad FatemiDepartment of Hematology, School of Allied Medical Sciences, Kerman University of Medical Sciences, Kerman, Iran.
Ali Noroozi-AghidehDepartment of Hematology, Faculty of Paramedicine, Aja University of Medical Sciences, Tehran, Iran.
Aja University of Medical Sciences · IRKerman University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Janus kinase 2 (JAK2) has an important role in the intracellular signaling in normal and neoplastic cells. JAK2 mutation, called JAK2 V617F, is frequently found in Philadelphia chromosome-negative myeloproliferative neoplasms. We aimed to assess the analytical efficiency of high-resolution melting (HRM) method using reannealing-curve analysis in comparison with routine melting-curve analysis for JAK2 V617F mutation detection.

methodTwenty-three samples including one negative synthetic standard DNA, two 50% and 75% positive synthetic standard DNA samples, five wild-type samples and 15 samples positive for JAK2 V617F were examined by HRM. Melting and reannealing stages were performed, and then, raw and normalized curves were compared between the two stages.

resultsIn melting-curve analysis, the wild-type and mutant samples had different melting temperatures (75/53°C and 75/10°C, respectively). In normalized curves corresponding to reannealing method, mutant samples were better separated from the baseline than in melting method as well as for samples with different mutant DNA burden from each other. Furthermore, wild-type samples were more homogenous in the normalized curves corresponding to reannealing than in melting method. This means that patients with a low allelic burden may be wrongly interpreted as normal in the common melting method.

conclusionWe suggest the use of reannealing instead of the melting-curve analysis for the detection of sequence variations, especially for large-scale mutation and allele burden measurement in clinical settings. However, more evaluations with more sample size will better improve the benefits of reannealing-curve analysis in research and clinic.

Indexed as

HRMmeltingreannealing

Identifiers

PMID31413649
PMCPMC6660628
OpenAlexW2963205107

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.