Workflow diagram of the nano-dLAMP detection system.
Workflow diagram of the nano-dLAMP detection system.
Source: SIBET

Chip-based digital PCR detection of myeloproliferative neoplasms

A joint team from China recently provided a sensitive, multiplexing, quantitative detection method for the early diagnosis and targeted therapy of myeloproliferative neoplasms, a type of chronic hematological tumor that is accompanied by bone marrow failure or leukemia.

The team, led by Zhou Lianqun from the Suzhou Institute of Biomedical Engineering and Technology of the Chinese Academy of Sciences and GUAN Ming from the Huashan Hospital, established a nanoparticle-assisted digital loop-mediated isothermal amplification (nano-dLAMP) platform for the analysis of myeloproliferative neoplasms. Digital polymerase chain reaction (digital PCR, dPCR), a high-sensitivity, absolute quantitative and high-tolerance nucleic acid detection technology, plays an important role in a variety of application fields, such as rare mutations detection, copy number variation, liquid biopsy, single cell analysis, genetically modified detection, viral load testing, and microbiological quantitative analysis. 

In this study, the researchers fabricated microarray chips with four physical partitions for the simultaneous detection of calreticulin type 1, calreticulin type 2, janus kinase 2 V617F mutations and an internal reference gene. 

They then used PCR additives and nanoparticles to make the traditional loop mediated isothermal amplification (LAMP) suitable for nanoliter-scale amplification. 

Results suggested that nanoparticles could improve the amplification performance of nanoliter LAMP. 

Quantitative detection of the main myeloproliferative neoplasm molecular markers could be performed simultaneously in one four-partition microarray chip within one hour. The agreement between the developed platform and the commercial Quantstudio 3D was high at 99%. 

This accurate, rapid, multiplex, and inexpensive nano-dLAMP platform could be a promising tool for clinical diagnosis in the future, according to the researchers.                                                                                                                

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