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Related Concept Videos

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. 
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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.
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RNA

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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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Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
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High-throughput biochemistry in RNA sequence space: predicting structure and function.

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This summary is machine-generated.

Researchers are developing new high-throughput methods to map RNA sequence to structure and function. These advances aim to predict RNA behavior from its genetic code, advancing molecular biology and potentially DNA and protein studies.

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Area of Science:

  • Molecular Biology
  • Biochemistry
  • Genetics

Background:

  • RNAs are crucial for biological processes, with their structures enabling catalytic and interaction functions.
  • Predicting RNA structure and function from sequence is challenging due to vast sequence-structure possibilities.
  • Existing methods struggle to bridge the gap between RNA sequence, structure, and function.

Purpose of the Study:

  • To review recent high-throughput experimental techniques for measuring RNA interactions.
  • To explore how these techniques can elucidate RNA function.
  • To discuss the development of predictive models for RNA sequence-structure-function relationships.

Main Methods:

  • High-throughput experimental approaches for in vitro measurements.
  • Quantitative thermodynamic and kinetic measurements of RNA interactions.
  • Analysis of hundreds of thousands of RNA sequence variations.

Main Results:

  • Recent advances enable quantitative measurements of RNA-RNA and RNA-protein interactions across numerous sequence variations.
  • These techniques provide insights into the functional roles of RNA structures.
  • The discussed methods are foundational for building predictive models.

Conclusions:

  • New high-throughput techniques are revolutionizing the study of RNA sequence-structure-function.
  • These methods pave the way for accurate prediction of RNA behavior from sequence.
  • The approaches are also applicable to understanding DNA and protein sequence-structure-function relationships.