Methods for Studying Circular RNAs in Viral Oncogenesis

Circular RNAs (circRNAs) are single-stranded, covalently closed RNA molecules expressed across diverse organisms, including humans and viruses. Emerging evidence indicates that circRNAs are critical modulators of the interplay between viral persistence, immune evasion, and oncogenesis. Viral- and host-derived circRNAs can rewire cellular signaling pathways through diverse mechanisms including microRNA sponging, protein scaffolding, and, in some cases, acting as templates for translation. As a result, circRNAs have emerged as potential therapeutic targets and disease biomarkers for diagnosis and prognosis of various malignancies. Nevertheless, the study of these molecules presents various intrinsic technical challenges due to their lack of a poly(A) tail, low abundance, and high sequence similarity with their linear RNA counterparts. Moreover, circRNA research is a rapidly evolving field that lacks standardized methodologies, contributing to variability in detection, validation, and reproducibility across studies. This review provides a landscape of methodologies used to study viral and host circRNAs, especially in the context of viral oncogenesis. We compare techniques ranging from the computational identification and quantification of circRNAs in transcriptome datasets to their experimental validation and functional characterization. Showcasing current technological advances leading to biological insights, this article aims to offer a guide for investigating the roles of circRNAs in viral oncogenesis for better therapeutic opportunities.

Authors

Institutions

Publication Details

Journal
Viruses
Published
2026-11-05
DOI
https://doi.org/10.3390/v18111231
Primary Topic
Circular RNAs in diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Methods for Studying Circular RNAs in Viral Oncogenesis

Laura Cano-Aroca, Takanobu Tagawa
Viruses
Circular RNAs in diseases
article

Methods for Studying Circular RNAs in Viral Oncogenesis

Laura Cano-Aroca, Takanobu Tagawa
article en

Abstract

Circular RNAs (circRNAs) are single-stranded, covalently closed RNA molecules expressed across diverse organisms, including humans and viruses. Emerging evidence indicates that circRNAs are critical modulators of the interplay between viral persistence, immune evasion, and oncogenesis. Viral- and host-derived circRNAs can rewire cellular signaling pathways through diverse mechanisms including microRNA sponging, protein scaffolding, and, in some cases, acting as templates for translation. As a result, circRNAs have emerged as potential therapeutic targets and disease biomarkers for diagnosis and prognosis of various malignancies. Nevertheless, the study of these molecules presents various intrinsic technical challenges due to their lack of a poly(A) tail, low abundance, and high sequence similarity with their linear RNA counterparts. Moreover, circRNA research is a rapidly evolving field that lacks standardized methodologies, contributing to variability in detection, validation, and reproducibility across studies. This review provides a landscape of methodologies used to study viral and host circRNAs, especially in the context of viral oncogenesis. We compare techniques ranging from the computational identification and quantification of circRNAs in transcriptome datasets to their experimental validation and functional characterization. Showcasing current technological advances leading to biological insights, this article aims to offer a guide for investigating the roles of circRNAs in viral oncogenesis for better therapeutic opportunities.

VirusesVol. 18(11)
University of Edinburgh (GB)
Openalex Percentile: Top 26%
Circular RNAs in diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon