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Related Concept Videos

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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 (lncRNA)...
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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 (lncRNA)...
RNA-seq03:21

RNA-seq

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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
Non-LTR Retrotransposons03:18

Non-LTR Retrotransposons

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...
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...

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Related Experiment Video

Updated: May 27, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

NONCODE v3.0: integrative annotation of long noncoding RNAs.

Dechao Bu1, Kuntao Yu, Silong Sun

  • 1Bioinformatics Research Group, Key Laboratory of Intelligent Information Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, PR China.

Nucleic Acids Research
|December 3, 2011
PubMed
Summary
This summary is machine-generated.

The NONCODE database (version 3.0) now integrates expression and functional data for long noncoding RNAs (lncRNAs). This resource aids researchers in compiling and analyzing lncRNA information for various biological processes and diseases.

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RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
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RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

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Last Updated: May 27, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
09:36

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

Published on: April 10, 2018

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • High-throughput sequencing has identified numerous long noncoding RNAs (lncRNAs) in mammalian transcriptomes.
  • LncRNAs are crucial regulators of gene expression, cellular differentiation, and immune responses.
  • An increasing number of lncRNAs are linked to human diseases.

Purpose of the Study:

  • To systematically compile and integrate experimental data on lncRNAs.
  • To update the NONCODE database to version 3.0, incorporating new datasets.
  • To provide a centralized resource for lncRNA expression, function, and molecular features.

Main Methods:

  • Re-annotation of microarray studies for lncRNA expression profiling.
  • Integration of diverse lncRNA datasets into a single database.
  • Development of a user-friendly interface with search, browse, Genome Browser, and BLAST functionalities.

Main Results:

  • The updated NONCODE database (v3.0) offers the first integrated collection of lncRNA expression and functional data.
  • The database includes re-annotated microarray data, enhancing data quality and comparability.
  • NONCODE provides tools for data visualization, sequence alignment, and literature-based ncRNA collation.

Conclusions:

  • The NONCODE database (v3.0) serves as a valuable, comprehensive resource for lncRNA research.
  • It facilitates the systematic analysis of lncRNA roles in biological processes and disease.
  • Open access to data via download, SOAP API, and DAS promotes collaborative research and discovery.