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Modularized Enzymatic Tandem Reaction for tsRNA Detection.
Cheng Yang1, Yi Yuan2, Man Shen1
1Department of Clinical Laboratory Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), No. 30 Gaotanyan Road, Chongqing 400038, P. R. China.
Analytical Chemistry
|November 3, 2022
Summary
A novel RT-NExT enzymatic reaction offers sensitive and rapid detection of tRNA-derived small RNAs (tsRNAs), crucial biomarkers for breast cancer diagnosis. This method overcomes limitations of traditional DNA circuits, enabling accurate tsRNA expression analysis.
Area of Science:
- Biochemistry
- Molecular Biology
- Biomarker Discovery
Background:
- tRNA-derived small RNAs (tsRNAs) are emerging biomarkers for breast cancer early diagnosis and prognosis.
- Traditional DNA circuits for tsRNA detection face challenges with strand coupling and false-positive signals.
Purpose of the Study:
- To develop a versatile and sensitive detection strategy for tsRNAs.
- To overcome the limitations of existing DNA circuit-based detection methods.
Main Methods:
- Demonstration of a modularized enzymatic tandem reaction: reverse-transcribed nicking exponential truncation (RT-NExT).
- RT-NExT utilizes cohesive modules that can function independently or in assembly, with each module amplifying and initiating the next.
- Independent module design allows for simplified circuit construction and reduced false-positive signals.
Main Results:
- RT-NExT achieved highly sensitive detection of specific tsRNAs (ts-66, ts-86) down to 10-18 M within 10 minutes.
- The method demonstrated excellent consistency with qRT-PCR for measuring tsRNA expression levels in breast cancer patients and healthy individuals.
- The modular design proved effective, allowing for independent module function and amplification cascade initiation.
Conclusions:
- RT-NExT presents a robust and appealing enzymatic detection strategy for tsRNAs.
- This method offers a significant advancement for the clinical diagnosis of breast cancer using tsRNA biomarkers.
- The modular nature of RT-NExT facilitates further research and development in tsRNA-based diagnostics.
