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Related Concept Videos

Translation01:31

Translation

157.3K
Lesson: Translation
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...
157.3K
Translation01:31

Translation

18.0K
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...
18.0K
Initiation of Translation02:33

Initiation of Translation

39.2K
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.
First, the initiator tRNA must be selected from the pool of elongator tRNAs by eukaryotic initiation factor 2 (eIF2). The initiator tRNA (Met-tRNAi) has conserved sequence elements including modified bases at...
39.2K
Termination of Translation01:44

Termination of Translation

27.8K
The large ribosomal subunit has several important structures essential to translation. These include the peptidyl transferase center (PTC) - which is the site where the peptide bond is formed - and a large, internal, water-filled tube through which the nascent polypeptide moves. This latter structure is called the Peptide Exit Tunnel, and it begins at the PTC and spans the body of the large ribosomal subunit. During translation, as the nascent polypeptide chain is synthesized, it passes through...
27.8K
Termination of Translation01:44

Termination of Translation

6.8K
6.8K
Improving Translational Accuracy02:07

Improving Translational Accuracy

15.0K
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...
15.0K

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A Model to Simulate Clinically Relevant Hypoxia in Humans
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Clinical Macrosystem Simulation Translates Between Organizations.

G Jesse Bender1, James A Maryman

  • 1From the Alpert Medical School Brown University (J.B.); Department of Pediatrics (J.B.), Women & Infants' Hospital, CNE Simulation Program, Providence, RI; and Woman's Hospital Baton Rouge (J.A.M.), Baton Rouge, LA.

Simulation in Healthcare : Journal of the Society for Simulation in Healthcare
|April 6, 2018
PubMed
Summary
This summary is machine-generated.

Simulation testing (TESTPILOT) successfully prepared staff for a new neonatal intensive care unit, identifying safety threats and improving readiness. This approach is effective even for organizations new to simulation.

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Area of Science:

  • Healthcare simulation
  • Healthcare facility redesign
  • Patient safety

Background:

  • Simulation is crucial for healthcare facility redesign and transition planning.
  • This study assesses the TESTPILOT macrosystems testing protocol in an organization with limited simulation experience.

Purpose of the Study:

  • To evaluate the translation of the TESTPILOT protocol for healthcare simulation.
  • To assess its effectiveness in preparing staff for a new neonatal intensive care unit.

Main Methods:

  • An experienced team guided simulation preparation for a new neonatal intensive care unit.
  • Metrics included participant evaluations, latent safety threats (LST), and clinician surveys at four time points.

Main Results:

  • Seven simulations were implemented, rated positively by participants, with most LST being minor.
  • System readiness lagged behind staff preparedness, but both improved post-simulation.
  • Key processes like lab notification and team coverage were still evolving by move day.

Conclusions:

  • Macrosystems testing via simulation identifies LST, enhances processes, and prepares staff effectively.
  • The TESTPILOT methodology is implementable in organizations with limited prior simulation experience.
  • Simulation enabled staff to articulate roles pre-transition and improved system readiness through LST correction.