2017
DOI: 10.1038/s41598-017-08674-8
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A portable microfluidic platform for rapid molecular diagnostic testing of patients with myeloproliferative neoplasms

Abstract: The ability to simultaneously detect JAK2 V617F and MPL W515K/L mutations would substantially improve the early diagnosis of myeloproliferative neoplasms (MPNs) and decrease the risk of arterial thrombosis. The goal of this study is to achieve a point of care testing platform for simultaneous analysis of major genetic alterations in MPN. Here, we report a microfluidic platform including a glass capillary containing polypropylene matrix that extracts genomic DNA from a drop of whole blood, a microchip for simul… Show more

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Cited by 9 publications
(9 citation statements)
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References 31 publications
(27 reference statements)
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“…The ability and accuracy in detecting genomic variants by using these devices have contributed to the diagnosis of hemochromatosis disease (Macleod et al, 2016) and myeloproliferative neoplasms by detecting the human p.C282Y hemochromatosis variant using the electrochemical microarray method and JAK2 p.V617F and MPL p.W515K/L variants using the loop-mediated isothermal amplification technique, respectively (Wang et al, 2017).…”
Section: Discussionmentioning
confidence: 99%
“…The ability and accuracy in detecting genomic variants by using these devices have contributed to the diagnosis of hemochromatosis disease (Macleod et al, 2016) and myeloproliferative neoplasms by detecting the human p.C282Y hemochromatosis variant using the electrochemical microarray method and JAK2 p.V617F and MPL p.W515K/L variants using the loop-mediated isothermal amplification technique, respectively (Wang et al, 2017).…”
Section: Discussionmentioning
confidence: 99%
“…Especially the use of mcrochips will lead to rapid and sensitive detection of multiple targets possibly within 20 minutes [40, 41]. Portable microfluidic platforms may be very attractive in developing point-of-care diagnostics and precision medicine [42]. In additon, several machine-learning algorithms such as random forest, logistic regression, gradient boosting, and neural networks are now available to improve risk prediction [4345].…”
Section: Discussionmentioning
confidence: 99%
“…Though this research field has developed over the past 30 years immensely, this aim is not fully realised yet. Nevertheless, the small dimensions of the devices allow, to some extent, experiments at varying locations of interest, e.g., for point of care and point of use testing (Wang et al, 2017(Wang et al, , 2019.…”
Section: Portable Systemsmentioning
confidence: 99%