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[Establishing the Ion Torrent PGM Sequencing Methods for the Clinical Diagnosis of MPN Patients].

Authors: Ji-Xian, Huang; Yu-Ling, Li; Na, Xu; Chang-Xin, Yin; Xuan, Zhou; Cheng-Yun, Pan; Bo-Lin, He; +3 Authors

[Establishing the Ion Torrent PGM Sequencing Methods for the Clinical Diagnosis of MPN Patients].

Abstract

To investigate the feasibility and relibility of rapidly and accurately acquiring the informations of gene mutations in MPN patients by using self-designed custom MPN mutation-related multipe-PCR primer kit and next generation Ion Torrent PGM sequencing platform.The bone marrow samples of 10 MPN patients with JAK2V617F and/or CALR+, Ph- confirmed by sanger sequencing method were collected and were re-detected by using next generation Ion Torrent PGM sequencing method, then the consistence of results of above-mentioned 2 kinds of detection methods was compared.In terms of JAK2V617F, MPL and CALR mutations, the results of Ion Torrent PGM sequencing were complete consistent with results of Sanger sequencing, except 52 bp deletion of CALR gene, which conld not be detected by next generation Ion Torrent PGM sequencing method in all bone marrow samples.The detection of multiple gene mutations in MPN patients by Ion Torrent PGM sequencing platform is feasible and can meet the needs of clinical testing. This method can complete detection of all 23 mutetions within 1-2 days, moreover, possesses advantages of high sensitivity, specificity, rapidity, high throughput and low cost.

Related Organizations
Keywords

Myeloproliferative Disorders, Mutation, High-Throughput Nucleotide Sequencing, Humans, Sequence Deletion

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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