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Updated: May 7, 2026

Probe-based Real-time PCR Approaches for Quantitative Measurement of microRNAs
Published on: April 14, 2015
Direct quantification of mRNA and miRNA from cell lysates using reverse transcription real time PCR: a
Yoon Khei Ho1, Wen Ting Xu, Heng Phon Too
1Department of Biochemistry, National University of Singapore, Singapore, Singapore.
Abstract:
Substantial efforts have been devoted to in vitro testing of candidate chemotherapeutics by profiling transcriptional changes across the collection of NCI-60 cell-lines. A work-flow with reagents that enable the direct quantification of RNA of different molecular sizes simultaneously in the same sample without laborious total RNA isolation will invariably increase the throughput and accuracy of the study. MicroRNAs (miRNAs) are known to regulate most cellular functions, acting post-transcriptionally by repressing numerous eukaryotic mRNAs. Recent findings on the remarkable stability of miRNA prompted us to investigate the feasibility of quantifying the expression levels of both mRNA and miRNA directly from cell lysates (cell-to-Ct). Multidimensional analyses of the expressions of mRNA and miRNA across seven NCI-60 cell lines and multiple reagents were conducted to assess the performances of these reagents and workflows for cell-to-Ct measurements using reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Quantification of RNA species using lysates prepared from an in-house and one of the commercial reagents demonstrated comparable performance to those prepared by the more laborious and conventional method of using guanidinium-phenol-chloroform. Additionally, miRNA was found to be highly stable in the cell lysates when incubated at room temperature for prolonged period of time and subjected to multiple freeze-thaw cycles. In summary, this study demonstrated significant differences in pre-analytical performance of a variety of commercially available reagents and described a cost-effective reagent useful for rapid, scalable, and high-throughput workflow for the detection of mRNA and miRNA from the same biological sample.
Insights
This study introduces a streamlined workflow for quantifying both messenger RNA (mRNA) and microRNA (miRNA) directly from cell lysates. This method enhances throughput and accuracy in cancer drug discovery research.
Area of Science:
- Molecular Biology
- Biochemistry
- Genomics
Background:
- Chemotherapeutic drug screening relies on analyzing transcriptional changes in NCI-60 cell lines.
- Current methods for RNA analysis require laborious total RNA isolation, limiting throughput and accuracy.
- MicroRNAs (miRNAs) are crucial regulators of cellular functions, impacting gene expression post-transcriptionally.
Purpose of the Study:
- To evaluate the feasibility of a direct cell-to-Ct workflow for simultaneous mRNA and miRNA quantification from cell lysates.
- To assess the performance of various reagents and workflows for this cell-to-Ct measurement.
- To investigate the stability of miRNA in cell lysates under different conditions.
Main Methods:
- Utilized reverse transcription-quantitative polymerase chain reaction (RT-qPCR) for gene expression analysis.
- Compared direct cell lysate analysis with conventional total RNA isolation methods.
- Assessed reagent performance and miRNA stability in cell lysates through incubation and freeze-thaw cycles across NCI-60 cell lines.
Main Results:
- Developed and validated a cell-to-Ct workflow enabling simultaneous mRNA and miRNA detection from the same sample.
- Demonstrated that in-house and commercial reagents provide comparable RNA quantification to traditional methods.
- Confirmed high miRNA stability in cell lysates, even after prolonged storage and multiple freeze-thaw cycles.
Conclusions:
- The study presents a cost-effective, rapid, and scalable workflow for high-throughput detection of both mRNA and miRNA.
- Significant variations in pre-analytical reagent performance were observed.
- The developed method offers a more efficient alternative to conventional RNA isolation for drug discovery applications.
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