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PMID: 31204926 Published · ppublish chi

[Detection of Exosomal PML-RARA Fusion Gene Expression Level by Droplet Digital PCR].

Zhongguo shi yan xue ye xue za zhi ·Vol. 27 ·No. 3 ·2019-06-00

Zhu H, Wang ZY, Ding XQ, Wang RX, Pan XR, Tong JH

Abstract

To establish a method for detecting the exosomal PML-RARA fusion gene expression by droplet digital PCR (ddPCR). By using Taqman probe-based ddPCR technique, the method that able to detect both long and short isoforms of PML-RARA fusion gene transcripts was established. RNA from PML-RARA negative cell line HL-60 as negative control was used to set the limit of blank (LOB), while the RNA from PML-RARA positive cell line NB4 and the recombinant plasmid pSG5-PML-RARA(S) were used to set the limit of detection (LOD) for long and short PML-RARA transcripts, respectively. Furtherly, the expression of exosomal PML-RARA fusion gene in NB4 cell culture supernatant and serum of patients with acute promyelocytic leukemia (APL) was analyzed by ddPCR technique. The LOB of ddPCR assay for long and short PML-RARA transcripts were 0.0725 and 0.083 copies per microliter of PCR reaction system, respectively, while the LOD of long and short PML-RARA transcripts were 0.19 and 0.21 copies per microliter of PCR reaction system, respectively. In addition, the expression of exosomal PML-RARA fusion gene derived from both NB4 cell culture supernatant and serum of APL patients was successfully detected. A ddPCR-based technique for detecting fusion gene transcripts has been established, which can be used to analyze absolute quantification in the minimal quantity of PML-RARA transcripts derived from exosomes. It suggests the possibility of this technique to non-invasively and dynamicly monitore the exosomal PML-RARA transcripts from APL patients' serum.

MeSH 主题词
Exosomes Gene Expression Humans Leukemia, Promyelocytic, Acute Oncogene Proteins, Fusion/analysis Polymerase Chain Reaction Protein Isoforms
Article Info
Journal
Zhongguo shi yan xue ye xue za zhi
Abbr.
Zhongguo Shi Yan Xue Ye Xue Za Zhi
ISSN
1009-2137
Corresponding email
Published
2019-06-00
Language
chi
Country/Region
China
NLM ID
101084424
Analysis Services
Analysis Services

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