RNA Detection Technologies: A MethodCentric Guide to Principles and Reproducibility.

Area of Science:

• Molecular Biology
• Genomics
• Biotechnology

Background:

• RNA detection methods have evolved significantly, encompassing hybridization, amplification, imaging, and sequencing.
• A diverse array of technologies now exists, from foundational techniques to advanced transcriptomics.

Purpose of the Study:

• To provide a method-centric synthesis of major RNA detection technologies.
• To emphasize how core principles, strengths, and variability influence the reproducibility of each method.

Main Methods:

• Review of established and emerging RNA detection techniques.
• Analysis of amplification-based (e.g., PCR, isothermal amplification) and amplification-free methods.
• Examination of transcriptomic approaches including bulk, single-cell, long-read, directRNA, and spatial transcriptomics, alongside CRISPR-based detection and metabolic labeling.

Main Results:

• Mature RNA detection methods have established standards, while newer approaches require experiment-specific controls for reproducibility.
• Reproducibility is a key evaluation dimension, influenced by method maturity and variability.
• Technological advancements offer diverse resolutions and applications for RNA analysis.

Conclusions:

• RNA detection methods are interconnected problem-solving pathways, not mere replacements.
• Rigorous method selection is crucial, guided by biological questions, resolution needs, sample constraints, and reproducibility frameworks.
• Understanding method-specific variability is essential for reliable RNA detection and analysis.