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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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RNA-seq03:21

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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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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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RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
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Bioinformatics tools for lncRNA research.

Junichi Iwakiri1, Michiaki Hamada2, Kiyoshi Asai1

  • 1Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa 277-8562, Japan; Computational Biology Research Consortium (CBRC), in National Institute of Advanced Industrial Science and Technology (AIST), 2-41-6, Aomi, Koto-ku, Tokyo 135-0064, Japan.

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PubMed
Summary
This summary is machine-generated.

Identifying long non-coding RNA (lncRNA) functions requires efficient tools. This review highlights bioinformatics resources for analyzing lncRNA structure, conservation, interactions, and expression to improve research speed and accuracy.

Keywords:
ConservationExpressionMappingSecondary structurelncRNA

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Experimental methods for determining long non-coding RNA (lncRNA) functions have low throughput.
  • A need exists for effective bioinformatics tools to accelerate lncRNA research.
  • Understanding lncRNA functions is crucial for advancing biological insights.

Purpose of the Study:

  • To review available bioinformatics tools and databases for lncRNA analysis.
  • To guide researchers in selecting efficient methods for studying lncRNAs.
  • To enhance the speed and accuracy of lncRNA function identification.

Main Methods:

  • Literature review of current bioinformatics tools and databases.
  • Categorization of tools based on analytical functions (structure, conservation, interactions, co-expression, localization).
  • Assessment of tool effectiveness for lncRNA research.

Main Results:

  • A comprehensive overview of bioinformatics resources for lncRNA analysis is presented.
  • Tools for analyzing lncRNA structure, conservation, interactions, co-expression, and localization are identified.
  • The review provides a guide for selecting appropriate tools to improve research efficiency.

Conclusions:

  • Effective utilization of bioinformatics tools is essential for high-throughput lncRNA functional studies.
  • This review serves as a valuable resource for researchers in the field of lncRNA biology.
  • Advancements in bioinformatics tools will accelerate the discovery of lncRNA functions and mechanisms.