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Related Concept Videos

RNA Structure01:23

RNA Structure

Overview
The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...
RNA Structure01:19

RNA Structure

The basic structure of RNA consists of a string of ribonucleotides attached by phosphodiester bonds. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA) involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three...
RNA Structure01:23

RNA Structure

Overview
The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...
Nucleic Acid Structure01:25

Nucleic Acid Structure

The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
DNA Structure
DNA has a double-helix structure. The...
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...
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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Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins
11:34

Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins

Published on: August 9, 2019

Exploring the ncRNA-ncRNA patterns based on bridging rules.

Feng Chen1, Yi-Ping Phoebe Chen

  • 1Faculty of Science, Technology and Engineering, La Trobe University, Bundoora, Vic. 3086, Australia.

Journal of Biomedical Informatics
|February 16, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method using association rules to uncover relationships between non-coding RNAs (ncRNAs). These findings help predict ncRNA functions and interactions across different RNA types.

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Last Updated: Jun 16, 2026

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Non-coding RNAs (ncRNAs) are crucial for gene expression regulation, but their functions remain largely undiscovered.
  • Complex interactions exist between different categories of ncRNAs, hindering a complete understanding of their roles.
  • Identifying these relationships is key to elucidating ncRNA functions and properties.

Purpose of the Study:

  • To develop and validate novel computational measures for exploring relationships between ncRNAs across different categories.
  • To extend association rule mining for representing interactions between specific ncRNAs.
  • To enable functional prediction of ncRNAs based on their interactions.

Main Methods:

  • Utilized entropy theory to quantify the proximity between ncRNAs.
  • Applied association rules to model interactions among ncRNAs.
  • Analyzed datasets from miRBase (miRNAs) and RNAdb (miRNA, snoRNA, piRNA).

Main Results:

  • Validated cross-species miRNA patterns using miRNAMap 2.0.
  • Discovered novel cross-genome patterns, such as (hsa-mir-190b-->hsa-mir-153-2).
  • Demonstrated the ability to infer functions of unknown ncRNAs from interacting partners.

Conclusions:

  • The proposed methods effectively reveal ncRNA relationships and facilitate functional prediction.
  • The approach is versatile, applicable to diverse ncRNA datasets without parameter sensitivity.
  • This work provides a powerful tool for understanding ncRNA biology and function.