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Ultrasensitive cDNA Library Preparation for Next-generation Sequencing of MicroRNAs from Small Extracellular

Olivier Loudig1, Iddo Z Ben-Dov2, Beny Shapiro3

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Small extracellular vesicles (sEVs) are key in cell communication. A new method enables sensitive detection of sEV microRNAs (miRNAs) for biomarker discovery, even with low RNA quantities.

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Area of Science:

  • Molecular Biology
  • Biochemistry
  • Genomics

Background:

  • Small extracellular vesicles (sEVs) mediate intercellular communication via encapsulated molecules like microRNAs (miRNAs).
  • Profiling sEV-miRNAs holds potential for identifying novel circulating biomarkers for diseases.
  • Low miRNA yields from isolated sEVs challenge conventional quantification methods.

Purpose of the Study:

  • To evaluate an adapted cDNA library preparation procedure for sensitive and reproducible analysis of sEV-derived miRNAs.
  • To enhance sequencing and multiplexing capabilities for sEV miRNA profiling using a transcript barcoding approach.

Main Methods:

  • Adaptation of a cDNA library preparation protocol optimized for low-input RNA, incorporating transcript barcoding for paired-end, dual index sequencing.
  • Analysis of RNA extracted from varying quantities of sEVs (2.5 × 10^7 to 8.4 × 10^9), including 16 replicates.
  • Assessment of methodology's reproducibility and sensitivity using Next Generation Sequencing (NGS).

Main Results:

  • The adapted protocol demonstrated high reproducibility and sensitivity in detecting sEV-miRNA profiles.
  • Successful quantification was achieved with as little as 3.15 pg of total small non-coding RNA or 1.35 pg of miRNA.
  • The use of 16 3' adenylated DNA barcodes improved sequencing and multiplexing capabilities.

Conclusions:

  • The developed methodology enables sensitive and reproducible profiling of miRNA cargo from limited sEV quantities.
  • This approach facilitates the use of sEV-miRNAs as potential biomarkers, overcoming previous quantification limitations.
  • The optimized protocol supports robust analysis for advancing extracellular vesicle-based diagnostics and research.