• Heedoo Lee, Xue He, Trung Le, Jonathan M Carnino, and Yang Jin.
• Division of Pulmonary and Critical Care Medicine, Department of Medicine, Boston University Medical Campus, Boston, Massachusetts.
• Am. J. Physiol. Lung Cell Mol. Physiol. 2020 Apr 1; 318 (4): L742-L749.

AbstractEmerging evidence suggests that extracellular vesicle (EV)-associated microRNAs (miRNAs) are a potential diagnostic tool for liquid biopsy in various human diseases. However, the experimental procedure for the detection of EV-associated miRNAs (EV-miRNAs) from body fluids is relatively complex and not cost-effective. Due to the limited amount of EVs and EV-RNAs, a column-based RNA purification, which is an expensive approach, is often used to detect EV-miRNAs via reverse transcription-quantitative real-time PCR (RT-qPCR). Here, we developed and validated a simple and cost-effective method (single-step RT-qPCR) in which we directly detect EV-miRNAs without RNA purification from the EVs. We validated this protocol using the EVs isolated from mouse broncho-alveolar lavage fluid (BALF) and serum. The obtained EVs were first lysed in the EV-lysis buffer, followed by RT-qPCR without isolation and purification of RNAs. We successfully detected the designated miRNAs from lysed EVs; 106 to 107 EVs were optimal to detect the EV-miRNAs using the single-step RT-qPCR. In our previously published work, using the conventional RT-qPCR method, we have reported that miR-142 and -223 are dramatically upregulated in both BALF and serum EVs after lung infection. Hence, we reassessed and confirmed the level of EV-miR-142/223 using the newly developed single-step RT-qPCR. Notably, inhibition of RNase activity in the lysed EVs remains crucial for the detection of EV-miRNAs. Moreover, repeated freeze-thaw cycling significantly interferes the EV-miRNA quantification. Collectively, the single-step RT-qPCR for the detection of EV-miRNAs in vivo will potentially provide a fast, accurate, and convenient way to quantify circulating and/or body fluid-derived EV-miRNAs. This method may potentially be applied to the diagnostic blood testing used in the medical centers or research laboratories.

11 keywords...

hide…