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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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The Upf proteins that carry out nonsense-mediated decay (NMD) are found in all eukaryotic organisms, including humans. Each protein has an individual role, but they need to work in collaboration. Upf1 is an ATP-dependent RNA helicase that unwinds the RNA helix. Because Upf1 can unwind any RNA, Upf2 and Upf3 are required to help Upf1 discriminate between nonsense and normal mRNAs.
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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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EVLncRNAs 3.0: an updated comprehensive database for manually curated functional long non-coding RNAs validated by

Bailing Zhou1, Baohua Ji1,2, Congcong Shen1

  • 1Shandong Provincial Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou 253023, China.

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|November 12, 2023
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Summary

The EVLncRNAs database now includes over 25,000 publications, significantly expanding its collection of experimentally validated functional long noncoding RNAs (lncRNAs) and associated data for disease research.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Long noncoding RNAs (lncRNAs) play critical roles in biological processes and diseases.
  • Functional characterization of lncRNAs is essential but remains challenging.
  • The EVLncRNAs database provides a curated resource for experimentally validated functional lncRNAs.

Purpose of the Study:

  • To update and expand the EVLncRNAs database with recent findings.
  • To enhance the database with new data types and improved usability.
  • To provide a comprehensive resource for lncRNA research.

Main Methods:

  • Exhaustive manual curation of approximately 25,000 publications from May 2020 to May 2023.
  • Incorporation of new data categories including functional classifications, interactions, structures, and COVID-19 related lncRNAs.
  • Improvement of the web interface for enhanced browsing, visualization, and searching capabilities.

Main Results:

  • A substantial increase in functional lncRNAs (154%) and associated diseases (160%).
  • Significant growth in lncRNA-disease associations (186%), interactions (235%), and structures (138%).
  • Notable expansion in circular RNAs (234%), resistant lncRNAs (235%), and exosomal lncRNAs (4724%).

Conclusions:

  • EVLncRNAs 3.0 is the most extensive curated resource for experimentally validated functional lncRNAs.
  • The updated database facilitates the exploration of novel lncRNA functions and their roles in diseases.
  • The resource is freely available and will be invaluable for the scientific community.