July 31, 2025 7am PST/10am EST/4pm CET

Unlocking the Potential of microRNAs in Challenging Samples: Optimized Workflows for Biomarker Discovery

Sponsored by: BioEcho Life Sciences
Speakers

Event Date & Time
Date: July 31, 2025
Time: 7:00 AM (PST), 10:00 AM (EST), 4:00 PM (CET)
Abstract

microRNAs are emerging as powerful biomarkers for precision medicine, offering valuable insights into disease mechanisms, diagnosis, prognosis, and treatment response. However, successful discovery and validation of microRNA biomarkers requires robust, sensitive, and reproducible workflows—especially when working with complex sample types such as formalin-fixed paraffin-embedded (FFPE) tissues or low-input liquid biopsies.

In this webinar, we will explore optimized strategies for microRNA biomarker discovery in both FFPE and liquid biopsy samples:

  • Discover how TAmiRNA’s miND® small RNA-sequencing assay enables absolute quantification and quality control through synthetic spike-ins, making it a powerful tool for transcriptomic profiling in challenging samples.
  • Learn about the BioEcho EchoLUTION FFPE RNA extraction kit, which preserves the integrity of small and large RNAs to maximize sensitivity and reproducibility in FFPE tissue analysis.
  • See case studies demonstrating how integrated workflows—from RNA extraction to sequencing and bioinformatic analysis—support microRNA biomarker identification and mechanistic insights.
  • Explore bioinformatic tools for analyzing small RNA-seq and multiomic datasets to uncover microRNA function, cellular origin, and regulatory networks.

Whether you are working with archived tissue samples or liquid biopsies, this session will provide practical guidance and showcase solutions to accelerate your biomarker discovery projects.

Learning Objectives: 

  • Explain key challenges in microRNA biomarker discovery from liquid biopsies and FFPE—and how to overcome them.
  • Understand how RNA extraction from FFPE samples impacts the quality and reproducibility of transcriptomic data.
  • Explore bioinformatic approaches for identifying and interpreting microRNA biomarkers from small RNA-seq data.

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