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Updated: Dec 21, 2025

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

Published on: October 21, 2022

IRIS3: integrated cell-type-specific regulon inference server from single-cell RNA-Seq.

Anjun Ma¹, Cankun Wang¹, Yuzhou Chang¹

¹Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH 43210, USA.

Nucleic Acids Research

|May 19, 2020

Summary

This summary is machine-generated.

We developed IRIS3, a web server to identify cell-type-specific regulons (CTSRs) from single-cell RNA sequencing data. This tool aids in understanding gene regulation and complex diseases.

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Area of Science:

Genomics
Computational Biology
Systems Biology

Background:

Regulons are gene groups controlled by common regulators.
Identifying cell-type-specific regulons (CTSRs) is crucial for understanding cell function and disease.
Computational challenges exist in inferring CTSRs from single-cell RNA sequencing (scRNA-Seq) data.

Purpose of the Study:

To introduce IRIS3, a novel web server for inferring CTSRs from scRNA-Seq data.
To provide a user-friendly platform with extensive functionalities for CTSR analysis and visualization.
To facilitate the discovery of regulatory mechanisms and gene networks in specific cell types.

Main Methods:

Development of the IRIS3 web server.
Utilizes scRNA-Seq data for CTSR inference in human and mouse.
Incorporates over 20 functionalities for data interpretation and visualization.

Main Results:

IRIS3 is the first web server dedicated to CTSR inference from scRNA-Seq data.
The server offers comprehensive tools for analyzing and visualizing CTSRs.
Identified CTSRs can reliably characterize cell types and aid in biomedical research.

Conclusions:

IRIS3 simplifies the identification of CTSRs, overcoming computational challenges.
CTSRs derived from IRIS3 can advance the study of complex diseases, gene regulatory networks, and drug development.
IRIS3 is freely accessible, promoting broader application in biological research.