Evidence map›Paper›PMID 18593708›Full record

ReviewThe Journal of biological chemistry2008

Should I stay or should I go? Eukaryotic translation initiation factors 1 and 1A control start codon recognition.

Sarah F Mitchell, Jon R Lorsch

Open access · hybridAbstract readReview
In one paragraph

Review in The Journal of biological chemistry, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Novel and unusualJournal of clinical pathology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Sarah F MitchellDepartment of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205.
Jon R LorschDepartment of Biophysics and Biophysical Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205. Electronic address: jlorsch@jhmi.edu.
Johns Hopkins Medicine · USJohns Hopkins University · US

Funding

KINETIC DISSECTION OF EUKARYOTIC TRANSLATION INITIATIONR01GM062128 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI GREEN, RACHEL · 2000 to 2013
$4.6M
Small Molecule Effectors of Eukaryotic Translation Initiation Site SelectionR21DK078633 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI LORSCH, JON R. · 2007 to 2008
$446k
NIDDK NIH HHS DK078633NIGMS NIH HHS GM62128
6 · The paper itself

Abstract

Start codon selection is a key step in translation initiation as it sets the reading frame for decoding. Two eukaryotic initiation factors, eIF1 and eIF1A, are key actors in this process. Recent work has elucidated many details of the mechanisms these factors use to control start site selection. eIF1 prevents the irreversible GTP hydrolysis that commits the ribosome to initiation at a particular codon. eIF1A both promotes and inhibits commitment through the competing influences of its two unstructured termini. Both factors perform their tasks through a variety of interactions with other components of the initiation machinery, in many cases mediated by the unstructured regions of the two proteins.

Indexed as

AnimalsCodon, InitiatorEukaryotic Initiation Factor-1Eukaryotic Initiation FactorsGuanosine TriphosphateHumansHydrolysisNeoplasm ProteinsNerve Tissue ProteinsPeptide Chain Initiation, TranslationalRibosomesCodon, InitiatorEIF1 protein, humanEukaryotic Initiation Factor-1Eukaryotic Initiation Factorseukaryotic peptide initiation factor-1AGuanosine TriphosphateNeoplasm ProteinsNerve Tissue Proteins

Identifiers

PMID18593708
PMCPMC2562056
OpenAlexW2044767031

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.