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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. 
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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.
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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 human tissues: a study using RNA-seq data.

Tianyi Xu1, Jing Wu1, Ping Han2

  • 1Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, No. 29 Jiangjun Avenue, Nanjing, Jiangsu, 211106, China.

BMC Genomics
|October 7, 2017
PubMed
Summary
This summary is machine-generated.

Circular RNAs (circRNAs) show distinct expression patterns in human adult and fetal tissues, suggesting developmental roles. This study maps circRNA profiles and regulatory networks, identifying tissue-specific and ubiquitous circRNAs.

Keywords:
Circular RNAExpression profileMammary glandRegulatory networkTissue specificitymicroRNA ‘sponge’

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Area of Science:

  • Genomics
  • Molecular Biology
  • Biochemistry

Background:

  • Circular RNAs (circRNAs) are noncoding RNAs forming closed loops, implicated in diseases like cancer.
  • circRNAs function as microRNA (miRNA) sponges, regulating gene expression.
  • Limited systematic data exists on circRNA profiles in human adult versus fetal tissues.

Purpose of the Study:

  • To systematically investigate circRNA abundance and expression profiles in diverse human adult and fetal tissues.
  • To identify tissue-specific and ubiquitously expressed circRNAs.
  • To explore potential circRNA-mediated regulatory networks.

Main Methods:

  • RNA sequencing (RNA-seq) was employed to analyze circRNA expression.
  • Data was collected from six adult/fetal normal tissues and four normal gland tissues.
  • circRNA-miRNA-mRNA regulatory networks were constructed.

Main Results:

  • Thousands of circRNAs were detected, with a significant proportion being novel.
  • Tissue-specific circRNAs were identified in adult tissues, alongside 33 ubiquitously expressed circRNAs.
  • circRNA abundance and relative expression were higher in fetal tissues compared to adult tissues; mammary gland showed a high number of circRNAs.

Conclusions:

  • circRNA expression is tissue-specific and development-specific, indicating distinct roles.
  • The circRNA-miRNA-mRNA network analysis offers potential targets for further research.
  • Higher circRNA levels in mammary gland may relate to innervation.