Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

RNA-seq03:21

RNA-seq

10.5K
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...
10.5K

You might also read

Related Articles

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

Sort by
Same author

SRD5A3-mediated aberrant N-glycosylation of SCARA5 promotes ferroptosis in lung adenocarcinoma.

Oncogene·2026
Same author

Noninvasive Profiling Reveals Stage-Specific Cell-Free RNA Dynamics and the Characterization of Immune Status in Preimplantation Embryos.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology·2026
Same author

Prolonged Sample Storage Reshapes the m<sup>6</sup>A Methylation Landscape Through RNA Degradation.

International journal of molecular sciences·2026
Same author

Tumor-targeted aptamer-conjugated engineered bacteria for CXCL9 cytokine delivery in non-small cell lung cancer immunotherapy.

Journal of translational medicine·2026
Same author

Single-cell RNA sequencing and large-panel NGS analysis reveal transcriptional heterogeneity and genomic characteristics of double primary lung cancer and thyroid cancer.

Genes & diseases·2026
Same author

Feeding patterns reprogram a gut microbial virulence-iron-quorum sensing functional axis linked to atherosclerotic risk.

Frontiers in microbiology·2026

Related Experiment Video

Updated: Oct 10, 2025

Identification of Circular RNAs using RNA Sequencing
08:25

Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

12.4K

Comparative analysis of circular RNA enrichment methods.

Huajuan Shi1, Ying Zhou1, Erteng Jia1

  • 1State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.

RNA Biology
|December 13, 2021
PubMed
Summary

Comparing circular RNA (circRNA) enrichment methods reveals that polyA+RNase R+rRNA depletion offers the highest sensitivity and abundance. This study guides researchers in selecting optimal circRNA enrichment strategies for sequencing.

Keywords:
CircRNA sequencingbenchmarkenrichment methodsprecisionsensitivity

More Related Videos

Quantification of Circular RNAs Using Digital Droplet PCR
08:39

Quantification of Circular RNAs Using Digital Droplet PCR

Published on: September 16, 2022

3.7K
Use of Alu Element Containing Minigenes to Analyze Circular RNAs
13:10

Use of Alu Element Containing Minigenes to Analyze Circular RNAs

Published on: March 10, 2020

7.5K

Related Experiment Videos

Last Updated: Oct 10, 2025

Identification of Circular RNAs using RNA Sequencing
08:25

Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

12.4K
Quantification of Circular RNAs Using Digital Droplet PCR
08:39

Quantification of Circular RNAs Using Digital Droplet PCR

Published on: September 16, 2022

3.7K
Use of Alu Element Containing Minigenes to Analyze Circular RNAs
13:10

Use of Alu Element Containing Minigenes to Analyze Circular RNAs

Published on: March 10, 2020

7.5K

Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Circular RNAs (circRNAs) are crucial regulatory molecules.
  • Consistent circRNA sequencing requires optimized enrichment methods.
  • Existing enrichment techniques show variable performance.

Purpose of the Study:

  • To systematically compare common circRNA enrichment methods.
  • To evaluate their impact on sequencing results, including circRNA abundance, species, sensitivity, and precision.
  • To guide the selection of appropriate circRNA enrichment protocols.

Main Methods:

  • Investigated four common circRNA enrichment strategies: ribosomal RNA (rRNA) depletion, polyadenylation (polyA+) and poly(A+) RNA depletion followed by RNase R treatment (polyA+RNase R), rRNA+polyA+RNase R, and polyA+RNase R+rRNA.
  • Assessed the number, abundance, sensitivity, and precision of detected circRNAs for each method.
  • Evaluated the removal efficiency of linear RNAs.

Main Results:

  • The polyA+RNase R+rRNA enrichment method yielded the highest number of circRNAs, with superior sensitivity and abundance.
  • The polyA+RNase R method demonstrated the highest precision in circRNA detection.
  • All methods effectively removed linear RNAs, except for the rRNA depletion-only method.

Conclusions:

  • The polyA+RNase R+rRNA method is recommended for maximizing circRNA detection sensitivity and abundance.
  • The polyA+RNase R method is suitable for studies prioritizing precision.
  • This comparative analysis provides a framework for selecting and improving circRNA enrichment techniques.