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Related Concept Videos

RNA-seq03:21

RNA-seq

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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...
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Updated: Nov 26, 2025

Identification of Circular RNAs using RNA Sequencing
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Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

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Circular RNA expression profiles and features in NAFLD mice: a study using RNA-seq data.

Xinlu Yuan1, Jianjun Diao2, Anqing Du3

  • 1Department of Endocrinology and Metabolic Diseases, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, 2800 Gongwei Road, Pudong, Shanghai, 201399, China.

Journal of Translational Medicine
|December 14, 2020
PubMed
Summary
This summary is machine-generated.

This study reveals altered circular RNA (circRNA) expression in nonalcoholic fatty liver disease (NAFLD) mouse models. These findings identify potential circRNA biomarkers for understanding NAFLD pathogenesis.

Keywords:
Expression profileNonalcoholic fatty liver disease; circular RNARegulatory networkTissue specificity

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Area of Science:

  • Hepatology
  • Molecular Biology
  • Genomics

Background:

  • Nonalcoholic fatty liver disease (NAFLD) is marked by liver cholesterol buildup.
  • Circular RNAs (circRNAs) are implicated in liver disease, but their role in NAFLD requires further investigation.
  • Previous studies on circRNA expression profiles in NAFLD are limited.

Purpose of the Study:

  • To investigate the circRNA expression profile in a nonalcoholic fatty liver disease mouse model.
  • To identify differentially expressed circRNAs and their potential roles in NAFLD pathogenesis.
  • To explore the circRNA-miRNA interactions within the context of NAFLD.

Main Methods:

  • A high-fat diet (HFD) was used to establish a NAFLD mouse model over 32 weeks.
  • High-throughput RNA sequencing and bioinformatics analyses were employed to determine circRNA expression profiles.
  • Differential circRNAs were validated using Sanger sequencing and qRT-PCR; circRNA-miRNA networks were predicted.

Main Results:

  • A successful NAFLD mouse model was confirmed via immunohistology and serology.
  • 93 dysregulated circRNAs (57 upregulated, 36 downregulated) were identified in the NAFLD group.
  • The study revealed complex circRNA-miRNA interactions and identified DDAH1 and VAV3 genes associated with NAFLD development.

Conclusions:

  • This research elucidates the circRNA expression profile and characteristics in NAFLD.
  • The identified circRNAs may serve as potential biomarkers for NAFLD.
  • Understanding circRNA dysregulation offers new insights into NAFLD pathogenesis.