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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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Three main types of RNA are involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). These RNAs perform diverse functions and can be broadly classified as protein-coding or non-coding RNA. Non-coding RNAs play important roles in regulating gene expression in response to developmental and environmental changes. Non-coding RNAs in prokaryotes can be manipulated to develop more effective antibacterial drugs for human or animal use.
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Types of RNA01:23

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Overview
Three main types of RNA are involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). These RNAs perform diverse functions and can be broadly classified as protein-coding or non-coding RNA. Non-coding RNAs play important roles in the regulation of gene expression in response to developmental and environmental changes. Non-coding RNAs in prokaryotes can be manipulated to develop more effective antibacterial drugs for human or animal use.
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Ribosome synthesis is a highly complex and coordinated process involving more than 200 assembly factors. The synthesis and processing of ribosomal components occurs not only in the nucleolus but also in the nucleoplasm and the cytoplasm of eukaryotic cells.
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As the name suggests, non-LTR retrotransposons lack the long terminal repeats characteristic of the LTR retrotransposons. Additionally, both LTR and non-LTR retrotransposons use distinct mechanisms of mobilization. Non-LTR retrotransposons are further divided into two classes - Long interspersed nuclear elements (LINEs) and short interspersed nuclear elements (SINEs), both of which occur abundantly in most mammals, including humans. Some of the active non-LTR retrotransposons in humans are L1...
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Structural and Functional Annotation of Long Noncoding RNAs.

Martin A Smith1,2, John S Mattick3,4

  • 1RNA Biology and Plasticity Laboratory, Garvan Institute of Medical Research, 384 Victoria St, Darlinghurst, NSW, 2010, Australia. m.smith@garvan.org.au.

Methods in Molecular Biology (Clifton, N.J.)
|November 30, 2016
PubMed
Summary
This summary is machine-generated.

Identifying functional structural domains in long noncoding RNAs (lncRNAs) is crucial. This study presents computational methods using genomic and transcriptomic data to uncover these essential lncRNA motifs.

Keywords:
Comparative genomicsFunctional genome annotationHomology searchRNA secondary structurelncRNA

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Protein-coding RNAs are a small fraction of total RNA output in eukaryotes.
  • Noncoding RNAs, especially long noncoding RNAs (lncRNAs), have diverse regulatory roles.
  • High-throughput sequencing reveals numerous novel, unannotated lncRNAs.

Purpose of the Study:

  • To discuss concepts and computational methods for identifying structural domains in lncRNAs.
  • To address the challenge of characterizing lncRNA functions.
  • To enable the discovery of functional lncRNA motifs.

Main Methods:

  • Review of methods for identifying RNA structural motifs in individual lncRNAs.
  • Description of computational approaches leveraging evolutionary dynamics of structured RNAs.
  • Application of comparative genomics for efficient screening of lncRNA motifs.

Main Results:

  • Established computational frameworks for lncRNA domain identification.
  • Demonstrated the utility of comparative genomics in detecting functional lncRNA motifs.
  • Provided insights into the structural and functional potential of lncRNAs.

Conclusions:

  • Computational and comparative genomics approaches are vital for understanding lncRNA structure and function.
  • Identifying structural domains is key to deciphering the roles of lncRNAs in genome biology.
  • This work facilitates the characterization of novel lncRNAs.