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Related Concept Videos

Leaky Scanning02:28

Leaky Scanning

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During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
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Ribosome Profiling02:24

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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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Improving Translational Accuracy02:07

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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Translational Regulation01:29

Translational Regulation

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Translational regulation in prokaryotes ensures efficient protein synthesis by controlling ribosome access to mRNA. This regulation is mediated by secondary RNA structures, including translational riboswitches, RNA thermometers, and small RNAs (sRNAs), which respond to intracellular and environmental signals to modulate gene expression.Translational RiboswitchesRiboswitches in the leader region of mRNAs can regulate translation by altering the accessibility of the Shine-Dalgarno (SD) sequence,...
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Regulation of Expression Occurs at Multiple Steps02:24

Regulation of Expression Occurs at Multiple Steps

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Gene expression can be regulated at almost every step from gene to protein. Transcription is the step that is most commonly regulated. This involves the binding of proteins to short regulatory sequences on the DNA. This association can either promote or inhibit the transcription of a gene associated with the respective sequence.
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Initiation of Translation02:33

Initiation of Translation

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Initiating translation is complex because it involves multiple molecules. Initiator tRNA, ribosomal subunits, and eukaryotic initiation factors (eIFs) are all required to assemble on the initiation codon of mRNA. This process consists of several steps that are mediated by different eIFs.
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Updated: Sep 11, 2025

Identification of Circular RNAs using RNA Sequencing
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Decoding circRNA translation: challenges and advances in computational method development.

Jingjing Zhang1,2, Rui Zhou1,2, Huiling Zhang3

  • 1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.

Frontiers in Genetics
|August 13, 2025
PubMed
Summary
This summary is machine-generated.

Circular RNAs (circRNAs) can encode proteins, making computational tools vital for studying their translation. This review benchmarks these tools, finding cirCodAn effective and highlighting the importance of training data.

Keywords:
bioinformaticscircRNAcoding potentialfunctiontranslation

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • Circular RNAs (circRNAs) are increasingly recognized for their roles in encoding functional proteins.
  • Computational methods are essential for analyzing circRNA translation due to its complexity.
  • Understanding circRNA biogenesis and translation mechanisms is key to developing effective analytical tools.

Purpose of the Study:

  • To provide a comprehensive review of computational methods for circRNA translation analysis.
  • To systematically introduce existing tools, their algorithms, and supporting resources.
  • To benchmark the performance of sequence-based methods using a unified dataset.

Main Methods:

  • Literature review of circRNA biogenesis, translation, experimental techniques, and databases.
  • Systematic introduction and categorization of computational tools for circRNA translation analysis.
  • Performance benchmarking of sequence-based methods using a standardized dataset.

Main Results:

  • cirCodAn demonstrated superior predictive accuracy and user accessibility among evaluated tools.
  • The selection of training data significantly influences the performance of computational models for circRNA translation.
  • Existing experimental techniques and databases provide crucial support for computational method development.

Conclusions:

  • This review offers a valuable reference for selecting and applying circRNA translation analysis tools.
  • It provides essential guidance for the development and improvement of future computational strategies in this field.
  • Accurate computational analysis of circRNA translation is critical for advancing molecular biology research.