Evidence map›Paper›PMID 21884679›Full record

ReviewBiochimica et biophysica acta2012

Manipulating the genetic code for membrane protein production: what have we learnt so far?

Morten H H Nørholm, Sara Light, Minttu T I Virkki, Arne Elofsson, Gunnar von Heijne, Daniel O Daley

Open access · greenAbstract readReview
In one paragraph

Review in Biochimica et biophysica acta, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Side effects of extra tRNA supplied in a typical bacterial protein production scenario.Protein science : a publication of the Protein Society · 2016
    Article
  7. Review
  8. Article
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

6 authors at 1 institution in 1 country.

Morten H H NørholmCenter for Biomembrane Research, Department of Biochemistry and Biophysics, Stockholm University, SE-106 91, Sweden. mhhn@life.ku.dk
Sara Light
Minttu T I Virkki
Arne Elofsson
Gunnar von Heijne
Daniel O Daley
Stockholm University · SE

Funding

New approaches for facilitating membrane protein overexpression and purificationR01GM081827 · NIGMS · STOCKHOLM UNIVERSITY · PI VON HEIJNE, GUNNAR · 2007 to 2009
$713k
NIGMS NIH HHS R01 GM081827
6 · The paper itself

Abstract

With synthetic gene services, molecular cloning is as easy as ordering a pizza. However choosing the right RNA code for efficient protein production is less straightforward, more akin to deciding on the pizza toppings. The possibility to choose synonymous codons in the gene sequence has ignited a discussion that dates back 50 years: Does synonymous codon use matter? Recent studies indicate that replacement of particular codons for synonymous codons can improve expression in homologous or heterologous hosts, however it is not always successful. Furthermore it is increasingly apparent that membrane protein biogenesis can be codon-sensitive. Single synonymous codon substitutions can influence mRNA stability, mRNA structure, translational initiation, translational elongation and even protein folding. Synonymous codon substitutions therefore need to be carefully evaluated when membrane proteins are engineered for higher production levels and further studies are needed to fully understand how to select the codons that are optimal for higher production. This article is part of a Special Issue entitled: Protein Folding in Membranes.

Indexed as

Base SequenceCodonGenetic CodeMembrane ProteinsModels, GeneticMolecular Sequence DataRNA, MessengerCodonMembrane ProteinsRNA, Messenger

Identifiers

PMID21884679
PMCPMC3288168
OpenAlexW2224492401

What OpenQuestion holds

Textmetadata
LicenceTDM
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.