Identification of tubular injury microRNA biomarkers in urine: comparison of next-generation sequencing and

Rounak Nassirpour, Sachin Mathur, Mark M Gosink

  • 1Drug Safety, Pfizer Worldwide Research and Development, 1 Burtt Rd, Andover, MA 01810, USA. laurence.o.whiteley@pfizer.com.

BMC Genomics
|June 20, 2014
PubMed
Abstract

Insights

Comparing next-generation sequencing (NGS) and quantitative reverse transcription PCR (qRT-PCR) for microRNA (miRNA) profiling in rat urine revealed platform-specific strengths and weaknesses. While both methods identified potential urinary biomarkers for kidney injury, their concordance was limited, highlighting the need for careful platform selection in biomarker discovery.

Area of Science:

  • Molecular Biology
  • Biomarker Discovery
  • Genomics

Background:

  • MicroRNAs (miRNAs) are key post-transcriptional regulators implicated in disease.
  • Urinary miRNAs show potential as non-invasive biomarkers.
  • Comparison of miRNA profiling platforms in urine is limited.

Purpose of the Study:

  • To compare microRNA sequencing (miRNA-seq) and quantitative reverse transcription PCR (qRT-PCR) for miRNA profiling in rat urine.
  • To evaluate miRNA expression changes in a rodent model of drug-induced renal tubular injury.

Main Methods:

  • Rodent model of gentamicin-induced renal tubular injury.
  • Urine sample collection from control and injured rats.
  • MicroRNA profiling using next-generation sequencing (NGS) and qRT-PCR.

Main Results:

  • Limited concordance observed between miRNA-seq and qRT-PCR in urine samples, likely due to sensitivity differences.
  • miRNA-seq demonstrated superior specificity but may miss low-abundance miRNAs.
  • qRT-PCR detected low-abundance miRNAs but failed to identify miRNA isoforms identified by NGS.

Conclusions:

  • This study is the first to compare miRNA profiling platforms, including NGS, in urine.
  • let-7d, miR-203, and miR-320 were identified by both platforms as potential urinary biomarkers.
  • These miRNAs may serve as novel biomarkers for drug-induced renal tubular epithelial injury.

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