Open Problems in Extracellular RNA Data Analysis: Insights From an ERCC Online Workshop

Area of Science:

• Molecular Biology
• Bioinformatics
• Genomics

Background:

• Extracellular RNA (exRNA) is protected from degradation in biofluids by encapsulation in vesicles or association with proteins.
• exRNA mediates intercellular signaling, functions as a disease biomarker, and offers therapeutic potential.
• The Extracellular RNA Communication Consortium (ERCC) is dedicated to advancing exRNA research.

Purpose of the Study:

• To address the unique challenges in analyzing extracellular RNA (exRNA) sequencing data.
• To foster open dialogue on best practices and identify open problems in exRNA data analysis.
• To engage the scientific community in developing solutions for exRNA data analysis challenges.

Main Methods:

• The study summarizes discussions from a two-day online workshop hosted by the ERCC (April 19-20, 2021).
• Focus was placed on small exRNA sequencing data analysis.
• Progress on developing an exRNA data analysis challenge was reviewed.

Main Results:

• The workshop highlighted key challenges in exRNA data analysis.
• Discussions involved experimentalists, computational scientists, and newcomers to the field.
• An initiative to create an exRNA data analysis challenge was advanced.

Conclusions:

• Addressing exRNA data analysis challenges is crucial for advancing the field.
• Community engagement through data analysis challenges can accelerate progress.
• Standardized best practices are needed for reliable exRNA research.