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Related Concept Videos

RNA Structure01:19

RNA Structure

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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...
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RNA Structure01:23

RNA Structure

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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.
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RNA-seq03:21

RNA-seq

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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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Ribosome Profiling02:24

Ribosome Profiling

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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.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
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Types of RNA01:20

Types of 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.
RNA Performs Diverse...
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Types of RNA01:23

Types of 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 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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Related Experiment Video

Updated: Mar 9, 2026

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
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Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

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Exploring Consensus RNA Substructural Patterns Using Subgraph Mining.

Qingfeng Chen, Chaowang Lan, Baoshan Chen

    IEEE/ACM Transactions on Computational Biology and Bioinformatics
    |December 28, 2016
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces RnaGraph, a novel algorithm for RNA secondary structure analysis. It effectively models complex RNA structures and uncovers hidden substructure patterns crucial for understanding RNA function.

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    RNA Secondary Structure Prediction Using High-throughput SHAPE
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    RNA Secondary Structure Prediction Using High-throughput SHAPE

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    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Molecular Biology

    Background:

    • RNA structural motifs are vital for RNA folding and molecular interactions.
    • Existing methods for RNA secondary structure modeling lack detailed substructure analysis and ignore family-specific variations.
    • Understanding RNA substructure patterns is essential for deciphering RNA functions and regulatory networks.

    Purpose of the Study:

    • To develop a novel algorithm, RnaGraph, for uncovering frequently occurring RNA substructure patterns.
    • To integrate attribute and graph data for comprehensive characterization of RNA substructures and their correlations.
    • To extract significant RNA substructure motifs using a top-k graph pattern mining approach.

    Main Methods:

    • A labeled graph-based algorithm (RnaGraph) was developed.
    • Attribute data and graph data were combined to represent RNA substructures and their relationships.
    • A top-k graph pattern mining algorithm was employed, integrating frequency and similarity metrics.

    Main Results:

    • RnaGraph successfully models complex RNA secondary structures.
    • The algorithm effectively identifies hidden and significant RNA substructure patterns.
    • The approach facilitates a deeper understanding of RNA structural motifs and their roles.

    Conclusions:

    • The proposed RnaGraph algorithm offers an advanced method for RNA secondary structure analysis.
    • This approach enhances the identification of biologically relevant RNA substructure motifs.
    • RnaGraph aids in understanding RNA functional mechanisms and regulatory networks.