Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Genetic variants associated mRNA stability in lung.

BMC genomics·2022

Same author

Tumor cell intrinsic and extrinsic features predict prognosis in estrogen receptor positive breast cancer.

PLoS computational biology·2022

Same author

Comparison of the diagnostic efficacy of <sup>68</sup> Ga-FAPI-04 PET/MR and <sup>18</sup>F-FDG PET/CT in patients with pancreatic cancer.

European journal of nuclear medicine and molecular imaging·2022

Same author

Addressing Extreme Propensity Scores in Estimating Counterfactual Survival Functions via the Overlap Weights.

American journal of epidemiology·2022

Same author

68 Ga-FAPI-04 Versus 18 F-FDG PET/CT in a Case of Peutz-Jeghers Syndrome.

Clinical nuclear medicine·2022

Same author

Fatty acid synthase (Fasn) inhibits the expression levels of immune response genes via alteration of alternative splicing in islet cells.

Journal of diabetes and its complications·2022

Search research articles

Related Experiment Video

Updated: Apr 1, 2026

Identification of Circular RNAs using RNA Sequencing

Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

CircNet: a database of circular RNAs derived from transcriptome sequencing data.

Yu-Chen Liu¹, Jian-Rong Li², Chuan-Hu Sun²

¹Institute of Bioinformatics and Systems Biology, National Chiao Tung University, HsinChu, Taiwan.

Nucleic Acids Research

|October 10, 2015

Summary

Circular RNAs (circRNAs) are newly identified regulatory molecules. The CircNet database catalogs circRNAs, their expression, and regulatory networks with miRNAs and genes.

More Related Videos

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

Quantification of Circular RNAs Using Digital Droplet PCR

Quantification of Circular RNAs Using Digital Droplet PCR

Published on: September 16, 2022

Related Experiment Videos

Last Updated: Apr 1, 2026

Identification of Circular RNAs using RNA Sequencing

Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

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

Quantification of Circular RNAs Using Digital Droplet PCR

Quantification of Circular RNAs Using Digital Droplet PCR

Published on: September 16, 2022

Area of Science:

Molecular Biology
Genomics
Bioinformatics

Background:

Circular RNAs (circRNAs) are a novel class of regulatory noncoding RNAs.
circRNAs play a role in post-transcriptional gene regulation.
Identification and characterization of circRNAs are ongoing areas of research.

Purpose of the Study:

To systematically identify and catalog circRNAs using transcriptome sequencing data.
To construct the CircNet database, a comprehensive resource for circRNA information.
To provide tissue-specific circRNA expression profiles and integrated regulatory networks.

Main Methods:

Utilized 464 RNA-seq transcriptome sequencing datasets.
Developed a pipeline to identify known and novel circRNAs.
Integrated miRNA-target networks and genomic annotations.

Main Results:

Identified and cataloged a significant number of circRNAs, including novel ones.
Constructed the CircNet database (http://circnet.mbc.nctu.edu.tw/) with diverse circRNA resources.
Generated tissue-specific circRNA expression profiles and circRNA-miRNA-gene regulatory networks.

Conclusions:

The CircNet database is the first public resource offering tissue-specific circRNA expression and regulatory network data.
This study expands the catalog of known circRNAs and provides valuable expression analysis.
The database facilitates understanding of circRNA-mediated gene regulation.