Extracellular vesicles, RNA sequencing, and bioinformatic analyses: Challenges, solutions, and recommendations

Area of Science:

• Extracellular vesicle (EV) research
• Molecular biology
• Genomics and transcriptomics

Background:

• Extracellular vesicles (EVs) are crucial for intercellular communication, carrying RNA and molecular footprints.
• Circulating EVs show promise for liquid biopsy and therapeutics.
• Current EV-RNA analysis is hindered by inconsistent protocols and bioinformatics.

Purpose of the Study:

• To provide a comprehensive overview of EV-RNA transcriptomics, covering particle types, methods, and data analysis.
• To address the need for standardized approaches in EV-RNA identification and analysis.
• To offer recommendations for robust and reproducible EVP-RNA studies.

Main Methods:

• Review of transcriptomic methods and technologies for EV cargo analysis.
• Compilation of RNA subtypes found in extracellular particles (EVPs).
• Examination of EV-RNA databases, bioinformatics pipelines, and analytical strategies.

Main Results:

• EVPs encompass a wide range of particles beyond exosomes, including lipoproteins and cell-free components.
• A comprehensive list of RNA subtypes within EVPs is presented.
• Current challenges and potential solutions for reproducible EV transcriptomics are discussed.

Conclusions:

• Standardization in EV-RNA extraction, quality control, and analysis is critical.
• Improved understanding of EVP-RNA landscape will advance diagnostics and therapeutics.
• Recommendations are provided for reproducible and robust EVP-RNA analysis.