The analysis of novel microRNA mimic sequences in cancer cells reveals lack of specificity in stem-loop RT-qPCR-based microRNA detection

Abstract Objective MicroRNAs are frequently downregulated in cancer, and restoring expression has tumour suppressive activity in tumour cells. Our recent phase I clinical trial investigated microRNA-based therapy in patients with malignant pleural mesothelioma. Treatment with TargomiRs, microRNA mim...

Full description

Bibliographic Details
Main Authors: Patrick Winata, Marissa Williams, Eileen McGowan, Najah Nassif, Nico van Zandwijk, Glen Reid
Format: Article
Language:English
Published: BMC 2017-11-01
Series:BMC Research Notes
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13104-017-2930-0
_version_ 1818083242840948736
author Patrick Winata
Marissa Williams
Eileen McGowan
Najah Nassif
Nico van Zandwijk
Glen Reid
author_facet Patrick Winata
Marissa Williams
Eileen McGowan
Najah Nassif
Nico van Zandwijk
Glen Reid
author_sort Patrick Winata
collection DOAJ
description Abstract Objective MicroRNAs are frequently downregulated in cancer, and restoring expression has tumour suppressive activity in tumour cells. Our recent phase I clinical trial investigated microRNA-based therapy in patients with malignant pleural mesothelioma. Treatment with TargomiRs, microRNA mimics with novel sequence packaged in EGFR antibody-targeted bacterial minicells, revealed clear signs of clinical activity. In order to detect delivery of microRNA mimics to tumour cells in future clinical trials, we tested hydrolysis probe-based assays specific for the sequence of the novel mimics in transfected mesothelioma cell lines using RT-qPCR. Results The custom assays efficiently and specifically amplified the consensus mimics. However, we found that these assays gave a signal when total RNA from untransfected and control mimic-transfected cells were used as templates. Further investigation revealed that the reverse transcription step using stem-loop primers appeared to introduce substantial non-specific amplification with either total RNA or synthetic RNA templates. This suggests that reverse transcription using stem-loop primers suffers from an intrinsic lack of specificity for the detection of highly similar microRNAs in the same family, especially when analysing total RNA. These results suggest that RT-qPCR is unlikely to be an effective means to detect delivery of microRNA mimic-based drugs to tumour cells in patients.
first_indexed 2024-12-10T19:34:53Z
format Article
id doaj.art-1ec61094c9e4447eb7456cedcae65da1
institution Directory Open Access Journal
issn 1756-0500
language English
last_indexed 2024-12-10T19:34:53Z
publishDate 2017-11-01
publisher BMC
record_format Article
series BMC Research Notes
spelling doaj.art-1ec61094c9e4447eb7456cedcae65da12022-12-22T01:36:10ZengBMCBMC Research Notes1756-05002017-11-011011710.1186/s13104-017-2930-0The analysis of novel microRNA mimic sequences in cancer cells reveals lack of specificity in stem-loop RT-qPCR-based microRNA detectionPatrick Winata0Marissa Williams1Eileen McGowan2Najah Nassif3Nico van Zandwijk4Glen Reid5Asbestos Diseases Research InstituteAsbestos Diseases Research InstituteUniversity of Technology SydneyUniversity of Technology SydneyAsbestos Diseases Research InstituteAsbestos Diseases Research InstituteAbstract Objective MicroRNAs are frequently downregulated in cancer, and restoring expression has tumour suppressive activity in tumour cells. Our recent phase I clinical trial investigated microRNA-based therapy in patients with malignant pleural mesothelioma. Treatment with TargomiRs, microRNA mimics with novel sequence packaged in EGFR antibody-targeted bacterial minicells, revealed clear signs of clinical activity. In order to detect delivery of microRNA mimics to tumour cells in future clinical trials, we tested hydrolysis probe-based assays specific for the sequence of the novel mimics in transfected mesothelioma cell lines using RT-qPCR. Results The custom assays efficiently and specifically amplified the consensus mimics. However, we found that these assays gave a signal when total RNA from untransfected and control mimic-transfected cells were used as templates. Further investigation revealed that the reverse transcription step using stem-loop primers appeared to introduce substantial non-specific amplification with either total RNA or synthetic RNA templates. This suggests that reverse transcription using stem-loop primers suffers from an intrinsic lack of specificity for the detection of highly similar microRNAs in the same family, especially when analysing total RNA. These results suggest that RT-qPCR is unlikely to be an effective means to detect delivery of microRNA mimic-based drugs to tumour cells in patients.http://link.springer.com/article/10.1186/s13104-017-2930-0MicroRNAMimicRT-qPCRTargomiRMesomiR
spellingShingle Patrick Winata
Marissa Williams
Eileen McGowan
Najah Nassif
Nico van Zandwijk
Glen Reid
The analysis of novel microRNA mimic sequences in cancer cells reveals lack of specificity in stem-loop RT-qPCR-based microRNA detection
BMC Research Notes
MicroRNA
Mimic
RT-qPCR
TargomiR
MesomiR
title The analysis of novel microRNA mimic sequences in cancer cells reveals lack of specificity in stem-loop RT-qPCR-based microRNA detection
title_full The analysis of novel microRNA mimic sequences in cancer cells reveals lack of specificity in stem-loop RT-qPCR-based microRNA detection
title_fullStr The analysis of novel microRNA mimic sequences in cancer cells reveals lack of specificity in stem-loop RT-qPCR-based microRNA detection
title_full_unstemmed The analysis of novel microRNA mimic sequences in cancer cells reveals lack of specificity in stem-loop RT-qPCR-based microRNA detection
title_short The analysis of novel microRNA mimic sequences in cancer cells reveals lack of specificity in stem-loop RT-qPCR-based microRNA detection
title_sort analysis of novel microrna mimic sequences in cancer cells reveals lack of specificity in stem loop rt qpcr based microrna detection
topic MicroRNA
Mimic
RT-qPCR
TargomiR
MesomiR
url http://link.springer.com/article/10.1186/s13104-017-2930-0
work_keys_str_mv AT patrickwinata theanalysisofnovelmicrornamimicsequencesincancercellsrevealslackofspecificityinstemlooprtqpcrbasedmicrornadetection
AT marissawilliams theanalysisofnovelmicrornamimicsequencesincancercellsrevealslackofspecificityinstemlooprtqpcrbasedmicrornadetection
AT eileenmcgowan theanalysisofnovelmicrornamimicsequencesincancercellsrevealslackofspecificityinstemlooprtqpcrbasedmicrornadetection
AT najahnassif theanalysisofnovelmicrornamimicsequencesincancercellsrevealslackofspecificityinstemlooprtqpcrbasedmicrornadetection
AT nicovanzandwijk theanalysisofnovelmicrornamimicsequencesincancercellsrevealslackofspecificityinstemlooprtqpcrbasedmicrornadetection
AT glenreid theanalysisofnovelmicrornamimicsequencesincancercellsrevealslackofspecificityinstemlooprtqpcrbasedmicrornadetection
AT patrickwinata analysisofnovelmicrornamimicsequencesincancercellsrevealslackofspecificityinstemlooprtqpcrbasedmicrornadetection
AT marissawilliams analysisofnovelmicrornamimicsequencesincancercellsrevealslackofspecificityinstemlooprtqpcrbasedmicrornadetection
AT eileenmcgowan analysisofnovelmicrornamimicsequencesincancercellsrevealslackofspecificityinstemlooprtqpcrbasedmicrornadetection
AT najahnassif analysisofnovelmicrornamimicsequencesincancercellsrevealslackofspecificityinstemlooprtqpcrbasedmicrornadetection
AT nicovanzandwijk analysisofnovelmicrornamimicsequencesincancercellsrevealslackofspecificityinstemlooprtqpcrbasedmicrornadetection
AT glenreid analysisofnovelmicrornamimicsequencesincancercellsrevealslackofspecificityinstemlooprtqpcrbasedmicrornadetection