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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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Overexpressing Long Noncoding RNAs Using Gene-activating CRISPR
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Versatile interactions and bioinformatics analysis of noncoding RNAs.

Qi Chen1, Xianwen Meng1, Qi Liao1

  • 1Department of Bioinformatics, The State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, P. R. China.

Briefings in Bioinformatics
|June 26, 2018
PubMed
Summary
This summary is machine-generated.

Noncoding RNAs (ncRNAs) are crucial in gene regulation. New sequencing and computational tools help researchers understand ncRNA functions and interactions for better biological insights.

Keywords:
bioinformatics resourcesncRNA transcriptionncRNA–DNA interactionncRNA–RNA interactionncRNA–protein interactionnoncoding RNAs

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Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Noncoding RNAs (ncRNAs) were initially dismissed as transcriptional noise.
  • Emerging evidence highlights ncRNAs' critical roles in diverse biological functions.
  • ncRNAs are key regulators in gene networks through interactions with DNA, RNA, and proteins.

Purpose of the Study:

  • To provide an overview of the ncRNA repertoire.
  • To highlight recent discoveries in ncRNA interactions.
  • To describe a workflow for in silico ncRNA analysis.

Main Methods:

  • Leveraging advances in RNA sequencing technologies.
  • Utilizing computational methodologies for data analysis.
  • Describing a comprehensive workflow for in silico ncRNA analysis.

Main Results:

  • ncRNAs play significant roles in biological functions.
  • ncRNAs interact with DNA, RNA, and proteins.
  • Updated platforms, databases, and tools for ncRNA analysis are available.

Conclusions:

  • Innovative sequencing and computational tools are essential for studying ncRNA-mediated regulation.
  • A comprehensive in silico workflow aids in ncRNA identification and functional annotation.
  • Understanding ncRNA interactions is vital for deciphering gene regulatory networks.