MicroRNA Detection: Current Technology and Research Strategies.

Area of Science:

• Biochemistry
• Molecular Biology
• Genomics

Background:

• MicroRNA (miR) research is rapidly expanding, encompassing detection methodologies, bioanalysis, and applications in -omics, diagnostics, and therapeutics.
• The exponential growth in miR publications can be overwhelming for new researchers.
• A structured overview is needed to navigate the complex landscape of miR detection and research strategies.

Purpose of the Study:

• To provide a collective overview of microRNA detection methods.
• To relate conventional and advanced techniques to common miR research strategies.
• To guide researchers toward focused study in the microRNA field.

Main Methods:

• Review of conventional techniques: quantitative reverse transcription polymerase chain reaction (RT-qPCR), microarray, and Northern blotting (NB).
• Review of recent advancements: next-generation sequencing (NGS), highly sensitive biosensors, and computational prediction of microRNA/targets.
• Relating these methods to common microRNA research strategies.

Main Results:

• Conventional methods like RT-qPCR, microarray, and NB remain foundational for microRNA detection.
• Emerging technologies like NGS, biosensors, and computational tools offer enhanced sensitivity and scope.
• A diverse toolkit of methods exists, each suited to specific research questions in microRNA biology.

Conclusions:

• Understanding the spectrum of microRNA detection techniques is crucial for effective research design.
• Researchers can select appropriate methods based on their specific goals, from basic discovery to clinical applications.
• This review serves as a guide to the evolving technologies in microRNA analysis.