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Comprehensive profiling of the human tear fluid miRNome using small RNA sequencing.

Garrett Jones1, Drew Mayernik1, Saleh Ahmed1

  • 1Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA.

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Summary

This study profiles human tear fluid microRNAs (miRNAs) using next-generation sequencing, establishing a reference miRNome. It reveals tear miRNAs regulate key pathways and shows potential demographic variations.

Keywords:
BiomarkersSchirmer stripSmall RNA sequencingTear fluidmicroRNA

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Area of Science:

  • Ophthalmology
  • Genomics
  • Molecular Biology

Background:

  • MicroRNAs (miRNAs) are small non-coding RNAs regulating gene expression.
  • Tear fluid contains a complex mixture of biomolecules, including miRNAs.
  • Understanding the tear fluid miRNome is crucial for identifying potential biomarkers.

Purpose of the Study:

  • To comprehensively profile microRNAs (miRNAs) in human tear fluid via next-generation sequencing (NGS).
  • To establish a reference miRNome for healthy tear fluid.
  • To investigate potential variations in miRNA expression based on sex, race, or age.

Main Methods:

  • Tear fluid samples collected from 32 adults using Schirmer strips.
  • RNA isolation and cDNA library preparation using specialized kits (miRNeasy, QIAseq).
  • Sequencing on NovaSeq 6000, followed by bioinformatic analysis (adapter trimming, alignment, normalization, functional annotation).

Main Results:

  • Identified 318 constitutively expressed miRNAs in tear fluid, with 246 detected in all subjects.
  • The most abundant miRNAs belonged to the let-7 family.
  • Functional analysis suggested tear miRNAs regulate pathways in transcriptional control, cytoskeletal organization, MAPK signaling, and neurodegeneration.

Conclusions:

  • A high-resolution reference profile of the human tear-fluid miRNome was established, showing stability, diversity, and functional relevance.
  • These findings provide a baseline for future research on disease-associated tear miRNA alterations.
  • Exploratory demographic associations require validation in larger cohorts.