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Related Concept Videos

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
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Related Experiment Video

Updated: Apr 4, 2026

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
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Long non-coding RNA expression profile in atrial fibrillation.

Zhongbao Ruan1, Xiaohua Sun1, Haihui Sheng2

  • 1Department of Cardiology, Taizhou People's Hospital Taizhou, Jiangsu, China.

International Journal of Clinical and Experimental Pathology
|September 5, 2015
PubMed
Summary

This study identified 219 differentially expressed long non-coding RNAs (lncRNAs) in atrial fibrillation (AF) patients, revealing their potential role in AF pathogenesis. Further research into these lncRNAs could offer new therapeutic targets for AF.

Keywords:
Long non-coding RNAatrial fibrillationgene expression profilepathway

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Area of Science:

  • Cardiovascular Biology
  • Molecular Genetics
  • Non-coding RNA Research

Background:

  • Atrial fibrillation (AF) is a complex arrhythmia with incompletely understood molecular mechanisms.
  • Long non-coding RNAs (lncRNAs) are emerging as critical regulators in various biological processes, including cardiovascular diseases.

Purpose of the Study:

  • To profile lncRNA expression in atrial tissues from AF patients and controls.
  • To identify specific lncRNAs and pathways involved in the pathogenesis of AF.
  • To provide a foundation for understanding the biological functions of lncRNAs in AF.

Main Methods:

  • lncRNA expression microarray analysis of atrial tissues from 3 AF and 3 non-AF patients.
  • Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses.
  • Validation of dysregulated lncRNAs using quantitative real-time PCR.

Main Results:

  • A total of 219 differentially expressed lncRNAs were identified between AF and control groups.
  • 156 lncRNAs were upregulated, and 63 were downregulated in AF.
  • Functional analyses indicated that differentially expressed genes are involved in AF pathogenesis.

Conclusions:

  • This study presents a comprehensive lncRNA expression profile in AF.
  • The findings highlight the significant role of lncRNAs in AF pathogenesis.
  • This research lays the groundwork for future investigations into lncRNA functions in AF.