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Related Concept Videos

Translational Regulation01:29

Translational Regulation

39
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,...
39
Improving Translational Accuracy02:07

Improving Translational Accuracy

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Translation01:31

Translation

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Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of Life
Proteins are...
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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

Ribosome Profiling

3.6K
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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Cotranslational Protein Translocation01:20

Cotranslational Protein Translocation

7.4K
Translocation of proteins across membranes is an ancient process that occurs even in bacteria and archaebacteria. In fact, the components of the translocation machinery are still conserved between prokaryotes and eukaryotes.
Sec61 channel partners for cotranslational translocation
During cotranslational translocation, the Sec61 channel partners with the signal recognition particle (SRP), the signal recognition particle receptor (SR), and the ribosomes to transport the nascent polypeptide chain...
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Related Experiment Video

Updated: Jul 15, 2025

Rapid In Vivo Fixation and Isolation of Translational Complexes from Eukaryotic Cells
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Rapid In Vivo Fixation and Isolation of Translational Complexes from Eukaryotic Cells

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Translational Research and Communities.

Megan Doerr1, Joon-Ho Yu2

  • 1Director of Applied ELSI Research at Sage Bionetworks.

Ethics & Human Research
|October 1, 2023
PubMed
Summary
This summary is machine-generated.

Community engagement strategies enhance translational research by improving computational analysis and bioethics. This approach leverages community knowledge to accelerate health discoveries and improve public health policy.

Keywords:
big databioethicscommunity engagementtranslational research

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Area of Science:

  • Health research methodology
  • Bioethics
  • Computational biology

Background:

  • Translational research demands innovative computational and bioethical frameworks.
  • Community engagement is increasingly recognized as vital for advancing research.

Purpose of the Study:

  • To explore how community engagement strategies can enhance translational research.
  • To identify needs for coengagement tools and coproduction approaches in big health data research.

Main Methods:

  • Review of community-engagement strategies in translational research.
  • Analysis of the role of community knowledge in data collection and insight generation.
  • Conceptualization of coengagement tools and coproduction models.

Main Results:

  • Community engagement significantly advances computational analysis and bioethics in translational research.
  • Incorporating community knowledge refines data collection, research insights, and application impact.
  • Development of coengagement tools and coproduction approaches is crucial for big health data research.

Conclusions:

  • Community-engaged translational research accelerates the translation of findings into improved individual health, medical decisions, and public health policy.
  • Novel coengagement tools and coproduction methods are essential for effective community-researcher partnerships in big health data initiatives.